WorldWideScience

Sample records for learning assessment system

  1. Systemic Assessment as a new tool for assessing students learning ...

    African Journals Online (AJOL)

    Systemic Assessment [SA] has been shown to be highly effective new tool in raising the level of students academic achievements, improve their ability to learn by enhancing the process of teaching and learning, and converts students from surface to deep learning. It also allow teacher to monitor students learning ...

  2. Assessing the Value of E-Learning Systems

    Science.gov (United States)

    Levy, Yair

    2006-01-01

    "Assessing the Value of E-Learning Systems" provides an extensive literature review pulling theories from the field of information systems, psychology and cognitive sciences, distance and online learning, as well as marketing and decision sciences. This book provides empirical evidence for the power of measuring value in the context of e-learning…

  3. Systemic assessment as a new tool to assess student learning

    African Journals Online (AJOL)

    IICBA01

    students' systemic thinking level developed in organic chemistry is strongly related to a deeper understanding of the relevant chemistry concepts (7) .In this regards we will illustrate five types of SAQ,s in heterocyclic chemistry based on systemics to assess students at synthesis and analysis learning levels. We experiment ...

  4. Effectiveness of Adaptive Assessment versus Learner Control in a Multimedia Learning System

    Science.gov (United States)

    Chen, Ching-Huei; Chang, Shu-Wei

    2015-01-01

    The purpose of this study was to explore the effectiveness of adaptive assessment versus learner control in a multimedia learning system designed to help secondary students learn science. Unlike other systems, this paper presents a workflow of adaptive assessment following instructional materials that better align with learners' cognitive…

  5. Assessment in Open and Distance Learning System (ODL: A Challenge

    Directory of Open Access Journals (Sweden)

    S. V. S. Chaudhary

    2013-09-01

    Full Text Available Assessment is an integral part of the learning process. The traditional practice of assessment has changed to meet the need of the contemporary society. In this paper assessment strategies used in Open and Distance Education are discussed and constructive suggestions are given to meet the challenges of assessment. Recently we experience a paradigm shift in assessment both in face-to-face and ODL system. Content-based testing has shifted to performance-based assessment. Assessment is no longer used for grading and certification, rather it has linked with learning and skill development of the students. Instead of a single paper pencil test, a variety of techniques and methods are being increasingly conducted. In this context assessment in the ODL system has adopted a new shape to provide better assessment judgments to its students and at the same time helping teachers and administrators. Coping with the changing scenario in ODL we face challenges addressed extensively in this article.

  6. MOODLE XML TO IMS QTI ASSESSMENT TEST PORTABILITY ON LEARNING MANAGEMENT SYSTEM

    OpenAIRE

    Kautsar, Irwan Alnarus; Kubota, Shin-Ichiro; Musashi, Yasuo; Sugitani, Kenichi

    2013-01-01

    Learning Management Systems (i.e. LMS) is one of the most popular solutions towards the e-Learning objective in different universities all around the world, where this environments are used to not only deliver contents but to perform assessments, tests and other tasks related to learning. Although, there are popular LMS such as Moodle, and more developed, such as Chamilo, there is no assessment/test portability among their LMS. Each assessment export formats make difficult to transfer well do...

  7. A Multipurpose Interactive System for Promoting and Assessing the Learning of Physics

    Science.gov (United States)

    Picciarelli, Vittorio; Selvaggi, Giovanna; Stella, Rosa

    2013-01-01

    This paper presents an interactive system designed to facilitate the effective management of both knowledge consolidation and (self-)assessment of the progress made in the learning of physics by upper secondary school students. Via a specific multiple-choice test database, the system proposes several learning paths designed and implemented in an…

  8. An Automated System for Skeletal Maturity Assessment by Extreme Learning Machines.

    Science.gov (United States)

    Mansourvar, Marjan; Shamshirband, Shahaboddin; Raj, Ram Gopal; Gunalan, Roshan; Mazinani, Iman

    2015-01-01

    Assessing skeletal age is a subjective and tedious examination process. Hence, automated assessment methods have been developed to replace manual evaluation in medical applications. In this study, a new fully automated method based on content-based image retrieval and using extreme learning machines (ELM) is designed and adapted to assess skeletal maturity. The main novelty of this approach is it overcomes the segmentation problem as suffered by existing systems. The estimation results of ELM models are compared with those of genetic programming (GP) and artificial neural networks (ANNs) models. The experimental results signify improvement in assessment accuracy over GP and ANN, while generalization capability is possible with the ELM approach. Moreover, the results are indicated that the ELM model developed can be used confidently in further work on formulating novel models of skeletal age assessment strategies. According to the experimental results, the new presented method has the capacity to learn many hundreds of times faster than traditional learning methods and it has sufficient overall performance in many aspects. It has conclusively been found that applying ELM is particularly promising as an alternative method for evaluating skeletal age.

  9. An Automated System for Skeletal Maturity Assessment by Extreme Learning Machines

    Science.gov (United States)

    Mansourvar, Marjan; Shamshirband, Shahaboddin; Raj, Ram Gopal; Gunalan, Roshan; Mazinani, Iman

    2015-01-01

    Assessing skeletal age is a subjective and tedious examination process. Hence, automated assessment methods have been developed to replace manual evaluation in medical applications. In this study, a new fully automated method based on content-based image retrieval and using extreme learning machines (ELM) is designed and adapted to assess skeletal maturity. The main novelty of this approach is it overcomes the segmentation problem as suffered by existing systems. The estimation results of ELM models are compared with those of genetic programming (GP) and artificial neural networks (ANNs) models. The experimental results signify improvement in assessment accuracy over GP and ANN, while generalization capability is possible with the ELM approach. Moreover, the results are indicated that the ELM model developed can be used confidently in further work on formulating novel models of skeletal age assessment strategies. According to the experimental results, the new presented method has the capacity to learn many hundreds of times faster than traditional learning methods and it has sufficient overall performance in many aspects. It has conclusively been found that applying ELM is particularly promising as an alternative method for evaluating skeletal age. PMID:26402795

  10. Web-Based Learning System for Developing and Assessing Clinical Diagnostic Skills for Dermatology Residency Program

    Science.gov (United States)

    Kuo, Fan-Ray; Chin, Yi-Ying; Lee, Chao-Hsien; Chiu, Yu-Hsien; Hong, Chien-Hu; Lee, Kuang-Lieh; Ho, Wen-Hsien; Lee, Chih-Hung

    2016-01-01

    Few studies have explored the learning difficulties and misconceptions that students encounter when using information and communication technology for e-learning. To address this issue, this research developed a system for evaluating the learning efficiency of medical students by applying two-tier diagnosis assessment. The effectiveness of the…

  11. A Paradigm for Student Learning Outcome Assessment in Information Systems Education: Continuous Improvement or Chasing Rainbows?

    Science.gov (United States)

    Saulnier, Bruce

    2014-01-01

    A paradigm is presented for student learning outcome assessment in information systems education. Successful deployment of the paradigm is illustrated using the author's home institution. The paradigm is consistent with both the scholarship of teaching and learning and the scholarship of assessment. It is concluded that the deployment of the…

  12. Enhancing an adaptive e-learning system with didactic test assessment using an expert system

    Science.gov (United States)

    Bradáč, Vladimír; Kostolányová, Kateřina

    2017-07-01

    The paper deals with a follow-up research on intelligent tutoring systems that were studied in authors' previous papers from the point of view of describing their advantages. In this paper, the authors make use of the fuzzy logic expert system, which assesses student's knowledge, and integrate it into the intelligent tutoring system called Barborka. The goal is to create an even more personal student's study plan, which is tailored both to student's sensory/learning preferences and the level of knowledge of the given subject.

  13. Self-assessed learning style correlates to use of supplemental learning materials in an online course management system.

    Science.gov (United States)

    Halbert, Caitlin; Kriebel, Richard; Cuzzolino, Robert; Coughlin, Patrick; Fresa-Dillon, Kerin

    2011-01-01

    The benefit of online learning materials in medical education is not well defined. The study correlated certain self-identified learning styles with the use of self-selected online learning materials. First-year osteopathic medical students were given access to review and/or summary materials via an online course management system (CMS) while enrolled in a pre-clinical course. At the end of the course, students completed a self-assessment of learning style based on the Index of Learning Styles and a brief survey regarding their usage and perceived advantage of the online learning materials. Students who accessed the online materials earned equivalent grades to those who did not. However, the study found that students who described their learning styles as active, intuitive, global, and/or visual were more likely to use online educational resources than those who identified their learning style as reflective, sensing, sequential, and/or verbal. Identification of a student's learning style can help medical educators direct students to learning resources that best suit their individual needs.

  14. Exploring Moodle Functionality for Managing Open Distance Learning E-Assessments

    Directory of Open Access Journals (Sweden)

    Indira KONERU

    2017-10-01

    Full Text Available Current and emerging technologies enable Open Distance Learning (ODL institutions integrate e-Learning in innovative ways and add value to the existing teaching-learning and assessment processes. ODL e-Assessment systems have evolved from Computer Assisted / Aided Assessment (CAA systems through intelligent assessment and feedback systems. E-Assessment (electronic assessment connotes using electronic technology and tools to design and administer assessments, collect and store students’ assessment evidences, grade performance, provide feedback and generate reports. The widely recognized advantages of e-Assessment over traditional, paper-based assessment include: lower long term costs, instant feedback to students, greater flexibility with respect to location and timing, improved reliability with machine marking, improved impartiality, and enhanced question styles that incorporate interactivity and multimedia. The advent of Learning Management Systems (LMS, such as Moodle (Modular Object-Oriented Dynamic Learning Environment paved the way for integrated advanced services for: interactive dialogue, controlling knowledge at different stages of distance process and e-Assessment systems. Moodle provides the complete integrated environment for handling all aspects of e-Assessment from authoring questions through to reports for course teams (Butcher, 2008. This study explores how Moodle functionality: supports diagnostic, formative, summative and competency-based assessments and facilitates ODL institutions design, administer and manage e-Assessments.

  15. Authentic assessment For autonomous learning

    NARCIS (Netherlands)

    Vinke, A.A.; Hummels, C.C.M.

    2010-01-01

    Industrial Design at Eindhoven University of Technology focuses on designing intelligent systems, products and related services for societal transformation. Our holistic and integrative approach to learning clearly shows in the end-ofterm assessments. Students are not assessed at the level of

  16. Systemic Assessment as a New Tool for Assessing Students ...

    African Journals Online (AJOL)

    Systemic Assessment as a New Tool for Assessing Students Learning in Chemistry using SATL Methods: Systemic Matching, Systemic Synthesis, Systemic Analysis, Systemic Synthetic – Analytic, as Systemic Question Types.

  17. Using Education Diplomacy to Help 15 Learning Champions Rethink Educational Assessment

    Science.gov (United States)

    Anderson, Kate

    2018-01-01

    Learning assessment is essential for education systems to provide quality and equitable education. Education partners, both national and international, are supporting education systems around the world in their efforts to develop and implement holistic learning assessment strategies and mechanisms. In many cases, examining how learning is being…

  18. Intelligent data analysis for e-learning enhancing security and trustworthiness in online learning systems

    CERN Document Server

    Miguel, Jorge; Xhafa, Fatos

    2016-01-01

    Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems addresses information security within e-Learning based on trustworthiness assessment and prediction. Over the past decade, many learning management systems have appeared in the education market. Security in these systems is essential for protecting against unfair and dishonest conduct-most notably cheating-however, e-Learning services are often designed and implemented without considering security requirements. This book provides functional approaches of trustworthiness analysis, modeling, assessment, and prediction for stronger security and support in online learning, highlighting the security deficiencies found in most online collaborative learning systems. The book explores trustworthiness methodologies based on collective intelligence than can overcome these deficiencies. It examines trustworthiness analysis that utilizes the large amounts of data-learning activities generate. In addition, as proc...

  19. Assessing Higher Education Learning Outcomes in Brazil

    Science.gov (United States)

    Pedrosa, Renato H. L.; Amaral, Eliana; Knobel, Marcelo

    2013-01-01

    Brazil has developed an encompassing system for quality assessment of higher education, the National System of Higher Education Evaluation (SINAES), which includes a test for assessing learning outcomes at the undergraduate level, the National Exam of Student Performance (ENADE). The present system has been running since 2004, and also serves as…

  20. Assessment of an electronic learning system for colon capsule endoscopy: a pilot study.

    Science.gov (United States)

    Watabe, Hirotsugu; Nakamura, Tetsuya; Yamada, Atsuo; Kakugawa, Yasuo; Nouda, Sadaharu; Terano, Akira

    2016-06-01

    Training for colon capsule endoscopy (CCE) procedures is currently performed as a lecture and hands-on seminar. The aims of this pilot study were to assess the utility of an electronic learning system for CCE (ELCCE) designed for the Japanese Association for Capsule Endoscopy using an objective scoring engine, and to evaluate the efficacy of ELCCE on the acquisition of CCE reading competence. ELCCE is an Internet-based learning system with the following steps: step 1, introduction; step 2, CCE reading competence assessment test (CCAT), which evaluates the competence of CCE reading prior to training; step 3, learning reading theory; step 4, training with guidance; step 5, training without guidance; step 6, final assessment; and step 7, the same as step 2. The CCAT, step 5 and step 6 were scored automatically according to: lesion detection, diagnosis (location, size, shape of lesion), management recommendations, and quality of view. Ten trainee endoscopists were initially recruited (cohort 1), followed by a validating cohort of 11 trainee endoscopists (cohort 2). All but one participant finished ELCCE training within 7 weeks. In step 6, accuracy ranged from 53 to 98 % and was not impacted by step 2 pretest scores. The average CCAT scores significantly increased between step 2 pretest and step 7 in both cohorts, from 42 ± 18 % to 79 ± 15 % in cohort 1 (p = 0.0004), and from 52 ± 15 % to 79 ± 14 % in cohort 2 (p = 0.0003). ELCCE is useful and effective for improving CCE reading competence.

  1. Development of E-learning prototype for MUET assessment

    Science.gov (United States)

    Mit Anak Mawan, Amylia; Mohamed, Rozlini; Othman, Muhaini; Yusof, Munirah Mohd

    2017-08-01

    This paper aims to discuss the development of E-learning prototype for MUET assessment in Fakulti Sains Komputer dan Teknologi Maklumat (FSKTM), Universiti Tun Hussein Onn Malaysia (UTHM) namely, MUET Online System. The system is considered as a learning centre to study MUET examination that follows the MUET syllabus. The system will be used to assist students in making preparation before sitting for MUET examination. Before student can gain access to the system, students need to sign up and pay some fees before they are enrolled into virtual MUET class. The class will be guided by the English language lecturer from Faculty of Science, Technology and Human Development (FSTPI), UTHM as teacher. The system provides learning modules, quiz and test section. At the end of learning session students’ performance are assessed through quizzes and test measure the level of student understands. The teacher will evaluate the student’s mark and provide advices to the student. Therefore, the MUET Online System will be able to improve student knowledge in English language and subsequently help student to obtain the best result in MUET by providing more guided references and practices.

  2. Enhancing the Learning Achievements and Attitudes of Taiwan Vocational School Students in Accounting with the Dynamic Assessment System

    Science.gov (United States)

    Shih, Ju-Ling; Ku, David Tawei; Hung, Su-Huan

    2013-01-01

    We investigate how the computerized dynamic assessment system improves the learning achievements of vocational high school students studying accounting. Our experiment was conducted under the one-group pretest-posttest design of 34 junior students. The questionnaire results were analyzed to determine student-learning attitudes and reactions toward…

  3. The E-assessment burger: Supporting the Before and After in E-Assessment Systems

    Directory of Open Access Journals (Sweden)

    Anne Adams

    2015-08-01

    Full Text Available This paper describes a threshold concept-driven e-assessment system that supports teachers in writing effective formative multiple-choice questions, creating quizzes tailored to students’ learning pathways. The system, which has been co-designed with teachers, acts as the ‘bun’ on either side of an ‘e-assessment burger’ pedagogically scaffolding quiz creation (the top of the bun, integrating the quiz within personalized learning trajectories (the burger and feeding the results back to the learners and teachers to guide the direction of future learning pathways (the bottom of the bun. The evaluation with 26 students in 3 subjects across two schools identified that supporting the before and after e-assessment empowers a shift in teachers’ encouragement for student ownership of assessment, guiding their learning pathways. Teachers also provide insights into how the system scaffolding and visualisations inspired changes to sequencing learning and teaching practices. In conclusion the changing role of assessment within a school ecosystem is debated.

  4. Recommendation System for Adaptive Learning.

    Science.gov (United States)

    Chen, Yunxiao; Li, Xiaoou; Liu, Jingchen; Ying, Zhiliang

    2018-01-01

    An adaptive learning system aims at providing instruction tailored to the current status of a learner, differing from the traditional classroom experience. The latest advances in technology make adaptive learning possible, which has the potential to provide students with high-quality learning benefit at a low cost. A key component of an adaptive learning system is a recommendation system, which recommends the next material (video lectures, practices, and so on, on different skills) to the learner, based on the psychometric assessment results and possibly other individual characteristics. An important question then follows: How should recommendations be made? To answer this question, a mathematical framework is proposed that characterizes the recommendation process as a Markov decision problem, for which decisions are made based on the current knowledge of the learner and that of the learning materials. In particular, two plain vanilla systems are introduced, for which the optimal recommendation at each stage can be obtained analytically.

  5. Assessment and E-Learning: Current Issues and Future Trends

    Science.gov (United States)

    Cowie, Neil; Sakui, Keiko

    2015-01-01

    This paper describes different ways in which digital technology can be used for language learning. It then identifies some key trends connecting assessment and technology in language learning and higher education: the use of automated systems to enhance traditional assessment practices; the use of Web 2.0 tools to facilitate new assessment…

  6. An intelligent service-based layered architecture for e learning and assessment

    International Nuclear Information System (INIS)

    Javaid, Q.; Arif, F.

    2017-01-01

    The rapid advancement in ICT (Information and Communication Technology) is causing a paradigm shift in eLearning domain. Traditional eLearning systems suffer from certain shortcomings like tight coupling of system components, lack of personalization, flexibility, and scalability and performance issues. This study aims at addressing these challenges through an MAS (Multi Agent System) based multi-layer architecture supported by web services. The foremost objective of this study is to enhance learning process efficiency by provision of flexibility features for learning and assessment processes. Proposed architecture consists of two sub-system namely eLearning and eAssesssment. This architecture comprises of five distinct layers for each sub-system, with active agents responsible for miscellaneous tasks including content handling, updating, resource optimization, load handling and provision of customized environments for learners and instructors. Our proposed architecture aims at establishment of a facilitation level to learners as well as instructors for convenient acquisition and dissemination of knowledge. Personalization features like customized environments, personalized content retrieval and recommendations, adaptive assessment and reduced response time, are believed to significantly enhance learning and tutoring experience. In essence characteristics like intelligence, personalization, interactivity, usability, laidback accessibility and security, signify aptness of proposed architecture for improving conventional learning and assessment processes. Finally we have evaluated our proposed architecture by means of analytical comparison and survey considering certain quality attributes. (author)

  7. SYSTEMIC ASSESSMENT [SA] AS A TOOL TO ASSESS STUDENT ...

    African Journals Online (AJOL)

    Temechegn

    our studies on Systemic Assessment [SA] [5-8] is an ongoing process of .... schema can be considered as a single element in working memory [9]. This is ... our students from surface learning to deep learning of chemical processes in sodium ...

  8. 3D Game-Based Learning System for Improving Learning Achievement in Software Engineering Curriculum

    Science.gov (United States)

    Su,Chung-Ho; Cheng, Ching-Hsue

    2013-01-01

    The advancement of game-based learning has encouraged many related studies, such that students could better learn curriculum by 3-dimension virtual reality. To enhance software engineering learning, this paper develops a 3D game-based learning system to assist teaching and assess the students' motivation, satisfaction and learning achievement. A…

  9. A Web-based Peer Assessment System for Assigning Student Scores in Cooperative Learning

    Directory of Open Access Journals (Sweden)

    Anon Sukstrienwong

    2017-11-01

    Full Text Available Working in groups has become increasingly important in order to develop students' skills. However, it can be more successful when peers cooperate and are involved in the assigned tasks. However, several educators firmly show disadvantages when all peers received the same reward, regardless of individual contribution. Some teachers also considering peer assessment to be time and effort consuming because preparation and monitoring are needed. In order to overcome these problems, we have developed a web-based peer assessment referred to as the ‘Scoring by Peer Assessment System’ (SPAS that allows teachers to set up the process of peer assessment, in order to assign scores that reflect the contribution of each student. Moreover, a web-based application allows students to evaluate their peers regarding their individual contribution where cooperative learning and peer assessment are used. The paper describes the system design and the implementation of our peer assessment application.

  10. Systemic assessment framework of a learning organization's competitive positioning

    Directory of Open Access Journals (Sweden)

    Wissam EL Hachem

    2014-09-01

    Full Text Available Purpose: The purpose of this paper is to devise an innovative feasible, replicable and comprehensive assessment framework of a learning organization's competitive positioning. Design/methodology/approach: The three characteristics listed above are approached as follows. Feasible refers to being easy and not in need of much resources (time, personnel,.... This is done through early elimination of non-important variables. Replicable is having a well structured methodology based on scientific proven methods. Following this methodology would result in good results that can be explained if needed and replicated if deemed necessary. Comprehensive translates into a holistic set of indices that measure performance as well as organizational learning. Findings and Originality/value: The three attributes (feasible, replicable and comprehensive have become crucial for ensuring any kind of added value for such a methodology that hopes to tackle the modern dynamic business environment and gaining a sustainable competitive advantage. Research limitations/implications: Such a methodology would require several full contextual applications to be able to set its final design. It entails thorough internal revision of a company's structure. Therefore a great deal of transparency and self-transcendence from the individual involved is a pre-requisite for any chance of success. Originality/value: It offers a systematic way to assess a company's performance/competitive positioning while accounting for the crucial attribute of organizational learning in its makeup.

  11. Assessing E-Learning System in Higher Education Institutes: Evidence from Structural Equation Modelling

    Science.gov (United States)

    Ali, Muhammad; Raza, Syed Ali; Qazi, Wasim; Puah, Chin-Hong

    2018-01-01

    Purpose: This study aims to examine university students' acceptance of e-learning systems in Pakistan. A Web-based learning system is a new form of utilizing technological features. Although, developed countries have initiated and established the concept for e-learning, developing countries require empirical support to implement e-learning.…

  12. Residential roof condition assessment system using deep learning

    Science.gov (United States)

    Wang, Fan; Kerekes, John P.; Xu, Zhuoyi; Wang, Yandong

    2018-01-01

    The emergence of high resolution (HR) and ultra high resolution (UHR) airborne remote sensing imagery is enabling humans to move beyond traditional land cover analysis applications to the detailed characterization of surface objects. A residential roof condition assessment method using techniques from deep learning is presented. The proposed method operates on individual roofs and divides the task into two stages: (1) roof segmentation, followed by (2) condition classification of the segmented roof regions. As the first step in this process, a self-tuning method is proposed to segment the images into small homogeneous areas. The segmentation is initialized with simple linear iterative clustering followed by deep learned feature extraction and region merging, with the optimal result selected by an unsupervised index, Q. After the segmentation, a pretrained residual network is fine-tuned on the augmented roof segments using a proposed k-pixel extension technique for classification. The effectiveness of the proposed algorithm was demonstrated on both HR and UHR imagery collected by EagleView over different study sites. The proposed algorithm has yielded promising results and has outperformed traditional machine learning methods using hand-crafted features.

  13. Assessment of the effects of student response systems on student learning and attitudes over a broad range of biology courses.

    Science.gov (United States)

    Preszler, Ralph W; Dawe, Angus; Shuster, Charles B; Shuster, Michèle

    2007-01-01

    With the advent of wireless technology, new tools are available that are intended to enhance students' learning and attitudes. To assess the effectiveness of wireless student response systems in the biology curriculum at New Mexico State University, a combined study of student attitudes and performance was undertaken. A survey of students in six biology courses showed that strong majorities of students had favorable overall impressions of the use of student response systems and also thought that the technology improved their interest in the course, attendance, and understanding of course content. Students in lower-division courses had more strongly positive overall impressions than did students in upper-division courses. To assess the effects of the response systems on student learning, the number of in-class questions was varied within each course throughout the semester. Students' performance was compared on exam questions derived from lectures with low, medium, or high numbers of in-class questions. Increased use of the response systems in lecture had a positive influence on students' performance on exam questions across all six biology courses. Students not only have favorable opinions about the use of student response systems, increased use of these systems increases student learning.

  14. Estimating Students’ Satisfaction with Web Based Learning System in Blended Learning Environment

    Directory of Open Access Journals (Sweden)

    Sanja Bauk

    2014-01-01

    Full Text Available Blended learning became the most popular educational model that universities apply for teaching and learning. This model combines online and face-to-face learning environments, in order to enhance learning with implementation of new web technologies and tools in learning process. In this paper principles of DeLone and Mclean success model for information system are applied to Kano two-dimensional model, for categorizing quality attributes related to satisfaction of students with web based learning system used in blended learning model. Survey results are obtained among the students at “Mediterranean” University in Montenegro. The (dysfunctional dimensions of Kano model, including Kano basic matrix for assessment of the degree of students’ satisfaction level, have been considered in some more detail through corresponding numerical, graphical, and statistical analysis.

  15. Assessing Assessment: In Pursuit of Meaningful Learning

    Science.gov (United States)

    Rootman-le Grange, Ilse; Blackie, Margaret A. L.

    2018-01-01

    The challenge of supporting the development of meaningful learning is prevalent in chemistry education research. One of the core activities used in the learning process is assessments. The aim of this paper is to illustrate how the semantics dimension of Legitimation Code Theory can be a helpful tool to critique the quality of assessments and…

  16. Learning Companion Systems, Social Learning Systems, and the Global Social Learning Club.

    Science.gov (United States)

    Chan, Tak-Wai

    1996-01-01

    Describes the development of learning companion systems and their contributions to the class of social learning systems that integrate artificial intelligence agents and use machine learning to tutor and interact with students. Outlines initial social learning projects, their programming languages, and weakness. Future improvements will include…

  17. Towards a Standardized e-Assessment System: Motivations, Challenges and First Findings

    Directory of Open Access Journals (Sweden)

    Denis Helic

    2009-10-01

    Full Text Available “Global Learning” with shared learning contents, resources, activities and goals is one of the contributions of Globalization. With the capability to use new Information and Communication Technologies (ICT it is a bit easier to have a technology based learning systems that enable learners to share the learning resources and possibilities. As a result many Learning Management Systems (LMS were developed with divers of platforms and approaches. Consequently, sharing learning resources and components has become a major challenge. E-assessment as a primary activity of any LMS is facing the same challenges and problems. In order to stand on this challenge people in the field of technology enhanced learning have recommended that LMS should conform to specific standards. This paper discuses this challenge, the consequences and limitations of standards in the modern learning settings. Moreover, it shows a service oriented framework for assessment which aims to make the e-assessment systems flexible and also to initiate the term of “Global Learning Assessment” with the possibility of sharing the e-assessment system components.

  18. Assessment for Complex Learning Resources: Development and Validation of an Integrated Model

    Directory of Open Access Journals (Sweden)

    Gudrun Wesiak

    2013-01-01

    Full Text Available Today’s e-learning systems meet the challenge to provide interactive, personalized environments that support self-regulated learning as well as social collaboration and simulation. At the same time assessment procedures have to be adapted to the new learning environments by moving from isolated summative assessments to integrated assessment forms. Therefore, learning experiences enriched with complex didactic resources - such as virtualized collaborations and serious games - have emerged. In this extension of [1] an integrated model for e-assessment (IMA is outlined, which incorporates complex learning resources and assessment forms as main components for the development of an enriched learning experience. For a validation the IMA was presented to a group of experts from the fields of cognitive science, pedagogy, and e-learning. The findings from the validation lead to several refinements of the model, which mainly concern the component forms of assessment and the integration of social aspects. Both aspects are accounted for in the revised model, the former by providing a detailed sub-model for assessment forms.

  19. Meta-Assessment in a Project-Based Systems Engineering Course

    Science.gov (United States)

    Wengrowicz, Niva; Dori, Yehudit Judy; Dori, Dov

    2017-01-01

    Project-based learning (PBL) facilitates significant learning, but it poses a major assessment challenge for assessing individual content knowledge. We developed and implemented an assessment approach and tool for a mandatory undergraduate systems engineering PBL-based course. We call this type of assessment "student-oriented"…

  20. e-Assessment in a Limited-Resources Dental School Using an Open-Source Learning Management System.

    Science.gov (United States)

    El Tantawi, Maha M A; Abdelsalam, Maha M; Mourady, Ahmed M; Elrifae, Ismail M B

    2015-05-01

    e-Assessment provides solutions to some problems encountered in dental students' evaluation. The aim of this study was to evaluate the experience of a limited-resources dental school with e-assessment provided through an open-source learning management system (LMS). Data about users' access and types of e-assessment activities at the Faculty of Dentistry, Alexandria University, Egypt, were obtained from the web-based LMS Moodle. A questionnaire developed to assess students' perceptions of the e-assessment was also sent to students registered in two courses (undergraduate and postgraduate) with the same instructor. The results showed that most e-courses at the school had one form of e-assessment (82%) and, of these, 16.7% had summative assessment activities. There were significant differences among departments in the number of e-courses with e-assessment. One-quarter of e-courses with e-assessment used Moodle quizzes. Of 285 students registered in the two courses that included the questionnaire, 170 responded (response rate=59.6%). The responding students positively perceived the impact of e-assessment on learning and its reliability and security, whereas technical issues and related stresses were negatively perceived. This study suggests that e-assessment can be used at minimal cost in dental schools with limited resources and large class sizes with the least demands on faculty members and teaching staff time. For these schools, an open-source LMS such as Moodle provides formative e-assessment not available otherwise and accommodates various question formats and varying levels of instructors' technical skills. These students seemed to have a positive impression of the e-assessment although technical problems and related stresses are issues that need to be addressed.

  1. A fully automated Drosophila olfactory classical conditioning and testing system for behavioral learning and memory assessment.

    Science.gov (United States)

    Jiang, Hui; Hanna, Eriny; Gatto, Cheryl L; Page, Terry L; Bhuva, Bharat; Broadie, Kendal

    2016-03-01

    Aversive olfactory classical conditioning has been the standard method to assess Drosophila learning and memory behavior for decades, yet training and testing are conducted manually under exceedingly labor-intensive conditions. To overcome this severe limitation, a fully automated, inexpensive system has been developed, which allows accurate and efficient Pavlovian associative learning/memory analyses for high-throughput pharmacological and genetic studies. The automated system employs a linear actuator coupled to an odorant T-maze with airflow-mediated transfer of animals between training and testing stages. Odorant, airflow and electrical shock delivery are automatically administered and monitored during training trials. Control software allows operator-input variables to define parameters of Drosophila learning, short-term memory and long-term memory assays. The approach allows accurate learning/memory determinations with operational fail-safes. Automated learning indices (immediately post-training) and memory indices (after 24h) are comparable to traditional manual experiments, while minimizing experimenter involvement. The automated system provides vast improvements over labor-intensive manual approaches with no experimenter involvement required during either training or testing phases. It provides quality control tracking of airflow rates, odorant delivery and electrical shock treatments, and an expanded platform for high-throughput studies of combinational drug tests and genetic screens. The design uses inexpensive hardware and software for a total cost of ∼$500US, making it affordable to a wide range of investigators. This study demonstrates the design, construction and testing of a fully automated Drosophila olfactory classical association apparatus to provide low-labor, high-fidelity, quality-monitored, high-throughput and inexpensive learning and memory behavioral assays. Copyright © 2015 Elsevier B.V. All rights reserved.

  2. Assessing learning at the workplace

    NARCIS (Netherlands)

    Evers, Arnoud

    2018-01-01

    • Defining learning at the workplace • Assessing learning at the workplace • Facilitating learning at the workplace: - Structure - Culture - Leadership - Personal factors • Conclusions • Discussion

  3. Characterizing College Science Assessments: The Three-Dimensional Learning Assessment Protocol.

    Science.gov (United States)

    Laverty, James T; Underwood, Sonia M; Matz, Rebecca L; Posey, Lynmarie A; Carmel, Justin H; Caballero, Marcos D; Fata-Hartley, Cori L; Ebert-May, Diane; Jardeleza, Sarah E; Cooper, Melanie M

    2016-01-01

    Many calls to improve science education in college and university settings have focused on improving instructor pedagogy. Meanwhile, science education at the K-12 level is undergoing significant changes as a result of the emphasis on scientific and engineering practices, crosscutting concepts, and disciplinary core ideas. This framework of "three-dimensional learning" is based on the literature about how people learn science and how we can help students put their knowledge to use. Recently, similar changes are underway in higher education by incorporating three-dimensional learning into college science courses. As these transformations move forward, it will become important to assess three-dimensional learning both to align assessments with the learning environment, and to assess the extent of the transformations. In this paper we introduce the Three-Dimensional Learning Assessment Protocol (3D-LAP), which is designed to characterize and support the development of assessment tasks in biology, chemistry, and physics that align with transformation efforts. We describe the development process used by our interdisciplinary team, discuss the validity and reliability of the protocol, and provide evidence that the protocol can distinguish between assessments that have the potential to elicit evidence of three-dimensional learning and those that do not.

  4. An Educational System for Learning Search Algorithms and Automatically Assessing Student Performance

    Science.gov (United States)

    Grivokostopoulou, Foteini; Perikos, Isidoros; Hatzilygeroudis, Ioannis

    2017-01-01

    In this paper, first we present an educational system that assists students in learning and tutors in teaching search algorithms, an artificial intelligence topic. Learning is achieved through a wide range of learning activities. Algorithm visualizations demonstrate the operational functionality of algorithms according to the principles of active…

  5. Assessing the Efficacy of Incorporating Game Dynamics in a Learning Management System

    Science.gov (United States)

    Frost, Raymond D.; Matta, Vic; MacIvor, Erin

    2015-01-01

    The goal of the study was to see if gamification of a Learning Management System (LMS) would increase a number of desirable outcomes: student interest, motivation, satisfaction, student learning and perception of pedagogical affect. These constructs were measured in a survey, except for learning, which was measured by grades. Gamification of the…

  6. Validity in assessment of prior learning

    DEFF Research Database (Denmark)

    Wahlgren, Bjarne; Aarkrog, Vibe

    2015-01-01

    , the article discusses the need for specific criteria for assessment. The reliability and validity of the assessment procedures depend on whether the competences are well-defined, and whether the teachers are adequately trained for the assessment procedures. Keywords: assessment, prior learning, adult...... education, vocational training, lifelong learning, validity...

  7. Fully Automated Deep Learning System for Bone Age Assessment.

    Science.gov (United States)

    Lee, Hyunkwang; Tajmir, Shahein; Lee, Jenny; Zissen, Maurice; Yeshiwas, Bethel Ayele; Alkasab, Tarik K; Choy, Garry; Do, Synho

    2017-08-01

    Skeletal maturity progresses through discrete phases, a fact that is used routinely in pediatrics where bone age assessments (BAAs) are compared to chronological age in the evaluation of endocrine and metabolic disorders. While central to many disease evaluations, little has changed to improve the tedious process since its introduction in 1950. In this study, we propose a fully automated deep learning pipeline to segment a region of interest, standardize and preprocess input radiographs, and perform BAA. Our models use an ImageNet pretrained, fine-tuned convolutional neural network (CNN) to achieve 57.32 and 61.40% accuracies for the female and male cohorts on our held-out test images. Female test radiographs were assigned a BAA within 1 year 90.39% and within 2 years 98.11% of the time. Male test radiographs were assigned 94.18% within 1 year and 99.00% within 2 years. Using the input occlusion method, attention maps were created which reveal what features the trained model uses to perform BAA. These correspond to what human experts look at when manually performing BAA. Finally, the fully automated BAA system was deployed in the clinical environment as a decision supporting system for more accurate and efficient BAAs at much faster interpretation time (<2 s) than the conventional method.

  8. A Design Research Study of a Curriculum and Diagnostic Assessment System for a Learning Trajectory on Equipartitioning

    Science.gov (United States)

    Confrey, Jere; Maloney, Alan

    2015-01-01

    Design research studies provide significant opportunities to study new innovations and approaches and how they affect the forms of learning in complex classroom ecologies. This paper reports on a two-week long design research study with twelve 2nd through 4th graders using curricular materials and a tablet-based diagnostic assessment system, both…

  9. Assessment of Prior Learning in Adult Vocational Education and Training

    Directory of Open Access Journals (Sweden)

    Vibe Aarkrog

    2015-04-01

    Full Text Available The article deals about the results of a study of school-based Assessment of Prior Learning of adults who have enrolled as students in a VET college in order to qualify for occupations as skilled workers. Based on examples of VET teachers’ methods for assessing the students’ prior learning in the programs for gastronomes, respectively child care assistants the article discusses two issues in relation to Assessment of Prior Learing: the encounter of practical experience and school-based knowledge and the validity and reliability of the assessment procedures. Through focusing on the students’ knowing that and knowing why the assessment is based on a scholastic perception of the students’ needs for training, reflecting one of the most important challenges in Assessment of Prior Learning: how can practical experience be transformed into credits for the knowledge parts of the programs? The study shows that by combining several Assessment of Prior Learning methods and comparing the teachers’ assessments the teachers respond to the issues of validity and reliability. However, validity and reliability might be even further strengthened, if the competencies are well defined, if the education system is aware of securing a reasonable balance between knowing how, knowing that, and knowing why, and if the teachers are adequately trained for the assessment procedures.

  10. Characterizing College Science Assessments: The Three-Dimensional Learning Assessment Protocol

    Science.gov (United States)

    Underwood, Sonia M.; Matz, Rebecca L.; Posey, Lynmarie A.; Carmel, Justin H.; Caballero, Marcos D.; Fata-Hartley, Cori L.; Ebert-May, Diane; Jardeleza, Sarah E.; Cooper, Melanie M.

    2016-01-01

    Many calls to improve science education in college and university settings have focused on improving instructor pedagogy. Meanwhile, science education at the K-12 level is undergoing significant changes as a result of the emphasis on scientific and engineering practices, crosscutting concepts, and disciplinary core ideas. This framework of “three-dimensional learning” is based on the literature about how people learn science and how we can help students put their knowledge to use. Recently, similar changes are underway in higher education by incorporating three-dimensional learning into college science courses. As these transformations move forward, it will become important to assess three-dimensional learning both to align assessments with the learning environment, and to assess the extent of the transformations. In this paper we introduce the Three-Dimensional Learning Assessment Protocol (3D-LAP), which is designed to characterize and support the development of assessment tasks in biology, chemistry, and physics that align with transformation efforts. We describe the development process used by our interdisciplinary team, discuss the validity and reliability of the protocol, and provide evidence that the protocol can distinguish between assessments that have the potential to elicit evidence of three-dimensional learning and those that do not. PMID:27606671

  11. An application of programmatic assessment for learning (PAL) system for general practice training.

    Science.gov (United States)

    Schuwirth, Lambert; Valentine, Nyoli; Dilena, Paul

    2017-01-01

    Aim: Programmatic assessment for learning (PAL) is becoming more and more popular as a concept but its implementation is not without problems. In this paper we describe the design principles behind a PAL program in a general practice training context. Design principles: The PAL program was designed to optimise the meaningfulness of assessment information for the registrar and to make him/her use that information to self regulate their learning. The main principles in the program were cognitivist and transformative. The main cognitive principles we used were fostering the understanding of deep structures and stimulating transfer by making registrars constantly connect practice experiences with background knowledge. Ericsson's deliberate practice approach was built in with regard to the provision of feedback combined with Pintrich's model of self regulation. Mezirow's transformative learning and insights from social network theory on collaborative learning were used to support the registrars in their development to become GP professionals. Finally the principal of test enhanced learning was optimised. Epilogue: We have provided this example explain the design decisions behind our program, but not want to present our program as the solution to any given situation.

  12. Precision Learning Assessment: An Alternative to Traditional Assessment Techniques.

    Science.gov (United States)

    Caltagirone, Paul J.; Glover, Christopher E.

    1985-01-01

    A continuous and curriculum-based assessment method, Precision Learning Assessment (PLA), which integrates precision teaching and norm-referenced techniques, was applied to a math computation curriculum for 214 third graders. The resulting districtwide learning curves defining average annual progress through the computation curriculum provided…

  13. Deep learning-based Diabetic Retinopathy assessment on embedded system.

    Science.gov (United States)

    Ardiyanto, Igi; Nugroho, Hanung Adi; Buana, Ratna Lestari Budiani

    2017-07-01

    Diabetic Retinopathy (DR) is a disease which affect the vision ability. The observation by an ophthalmologist usually conducted by analyzing the retinal images of the patient which are marked by some DR features. However some misdiagnosis are usually found due to human error. Here, a deep learning-based low-cost embedded system is established to assist the doctor for grading the severity of the DR from the retinal images. A compact deep learning algorithm named Deep-DR-Net which fits on a small embedded board is afterwards proposed for such purposes. In the heart of Deep-DR-Net, a cascaded encoder-classifier network is arranged using residual style for ensuring the small model size. The usage of different types of convolutional layers subsequently guarantees the features richness of the network for differentiating the grade of the DR. Experimental results show the capability of the proposed system for detecting the existence as well as grading the severity of the DR symptomps.

  14. Assessing Complex Learning Objectives through Analytics

    Science.gov (United States)

    Horodyskyj, L.; Mead, C.; Buxner, S.; Semken, S. C.; Anbar, A. D.

    2016-12-01

    A significant obstacle to improving the quality of education is the lack of easy-to-use assessments of higher-order thinking. Most existing assessments focus on recall and understanding questions, which demonstrate lower-order thinking. Traditionally, higher-order thinking is assessed with practical tests and written responses, which are time-consuming to analyze and are not easily scalable. Computer-based learning environments offer the possibility of assessing such learning outcomes based on analysis of students' actions within an adaptive learning environment. Our fully online introductory science course, Habitable Worlds, uses an intelligent tutoring system that collects and responds to a range of behavioral data, including actions within the keystone project. This central project is a summative, game-like experience in which students synthesize and apply what they have learned throughout the course to identify and characterize a habitable planet from among hundreds of stars. Student performance is graded based on completion and accuracy, but two additional properties can be utilized to gauge higher-order thinking: (1) how efficient a student is with the virtual currency within the project and (2) how many of the optional milestones a student reached. In the project, students can use the currency to check their work and "unlock" convenience features. High-achieving students spend close to the minimum amount required to reach these goals, indicating a high-level of concept mastery and efficient methodology. Average students spend more, indicating effort, but lower mastery. Low-achieving students were more likely to spend very little, which indicates low effort. Differences on these metrics were statistically significant between all three of these populations. We interpret this as evidence that high-achieving students develop and apply efficient problem-solving skills as compared to lower-achieving student who use more brute-force approaches.

  15. Technology enhanced peer learning and peer assessment

    DEFF Research Database (Denmark)

    Henriksen, Christian Bugge; Bregnhøj, Henrik; Rosthøj, Susanne

    2016-01-01

    This paper explores the application of learning designs featuring formalised and structured technology enhanced peer learning. These include student produced learning elements, peer review discussions and peer assessment in the BSc/MSc level summer course Restoration of European Ecosystems...... and Freshwaters (REEF), the Master thesis preparation seminars for the Master of Public Health (MPH) and the MOOC course Global Environmental Management (GEM). The application of student produced learning elements and peer review discussions is investigated by analyzing quotes from course evaluations...... and performing focus group interviews. The application of peer assessment is investigated by analyzing the agreement of peer assessment between students assessing the same assignment. Our analyses confirm previous research on the value of peer learning and peer assessment and we argue that there could also...

  16. Development and Evaluation of a Computer-Based Learning Environment for Teachers: Assessment of Learning Strategies in Learning Journals

    Directory of Open Access Journals (Sweden)

    Inga Glogger

    2013-01-01

    Full Text Available Training teachers to assess important components of self-regulated learning such as learning strategies is an important, yet somewhat neglected, aspect of the integration of self-regulated learning at school. Learning journals can be used to assess learning strategies in line with cyclical process models of self-regulated learning, allowing for rich formative feedback. Against this background, we developed a computer-based learning environment (CBLE that trains teachers to assess learning strategies with learning journals. The contents of the CBLE and its instructional design were derived from theory. The CBLE was further shaped by research in a design-based manner. Finally, in two evaluation studies, student teachers (N1=44; N2=89 worked with the CBLE. We analyzed satisfaction, interest, usability, and assessment skills. Additionally, in evaluation study 2, effects of an experimental variation on motivation and assessment skills were tested. We found high satisfaction, interest, and good usability, as well as satisfying assessment skills, after working with the CBLE. Results show that teachers can be trained to assess learning strategies in learning journals. The developed CBLE offers new perspectives on how to support teachers in fostering learning strategies as central component of effective self-regulated learning at school.

  17. Interorganizational learning systems

    DEFF Research Database (Denmark)

    Hjalager, Anne-Mette

    1999-01-01

    The occurrence of organizational and interorganizational learning processes is not only the result of management endeavors. Industry structures and market related issues have substantial spill-over effects. The article reviews literature, and it establishes a learning model in which elements from...... organizational environments are included into a systematic conceptual framework. The model allows four types of learning to be identified: P-learning (professional/craft systems learning), T-learning (technology embedded learning), D-learning (dualistic learning systems, where part of the labor force is exclude...... from learning), and S-learning (learning in social networks or clans). The situation related to service industries illustrates the typology....

  18. Stimulating Learning with Integrated Assessments in Construction Education

    Directory of Open Access Journals (Sweden)

    Imriyas Kamardeen

    2014-09-01

    Full Text Available Quality of learning students experience is heavily dependent on the effectiveness of course design. Assessments are a key component in course design and students determine their level of involvement in a learning activity based on whether it is assessed or not. Assessments are therefore a powerful tool that lecturers can utilise to drive learning. However, designing effective assessments to stimulate learning is challenging in the presence of disciplinary, contextual dimensions. A case study approach is adopted to demonstrate how effective integrated assessment schemes may be developed and implemented for construction education. The scheme in the case study amalgamated case-based learning, online quizzes and adaptive eTests to provide a variety of assessments, aligned with lecture topics and contemporary real-word scenarios. It was found that the presence of both formative and summative tasks in the assessment scheme complemented each other, kept students constantly motivated and engaged in learning, and resulted in a good learning experience for them. The study provide evidence, and valuable insights and tips for lecturers in similar degree programs as to how they could modify pedagogical styles in their courses for better learning experiences for students and improved teaching ratings for themselves. Keywords: Pedagogy, Integrated assessment, Case-based learning, Online quiz, Adaptive eLearning

  19. Stimulating Learning with Integrated Assessments in Construction Education

    Directory of Open Access Journals (Sweden)

    Imriyas Kamardeen

    2014-09-01

    Full Text Available Quality of learning students experience is heavily dependent on the effectiveness of course design. Assessments are a key component in course design and students determine their level of involvement in a learning activity based on whether it is assessed or not. Assessments are therefore a powerful tool that lecturers can utilise to drive learning. However, designing effective assessments to stimulate learning is challenging in the presence of disciplinary, contextual dimensions. A case study approach is adopted to demonstrate how effective integrated assessment schemes may be developed and implemented for construction education. The scheme in the case study amalgamated case-based learning, online quizzes and adaptive eTests to provide a variety of assessments, aligned with lecture topics and contemporary real-word scenarios. It was found that the presence of both formative and summative tasks in the assessment scheme complemented each other, kept students constantly motivated and engaged in learning, and resulted in a good learning experience for them. The study provide evidence, and valuable insights and tips for lecturers in similar degree programs as to how they could modify pedagogical styles in their courses for better learning experiences for students and improved teaching ratings for themselves.   Keywords: Pedagogy, Integrated assessment, Case-based learning, Online quiz, Adaptive eLearning

  20. SYSTEM APPROACH TO THE BLENDED LEARNING

    Directory of Open Access Journals (Sweden)

    Vladimir Kukharenko

    2015-10-01

    Full Text Available Currently, much attention is paid to the development of learning sour cream – a combination of traditional and distance (30-70% of training. Such training is sometimes called hybrid and referred to disruptive technologies. Purpose – to show that the use of systemic campaign in blended learning provides a high quality of education, and the technology can be devastating. The subject of the study – blended learning, object of study – Mixed learning process. The analysis results show that the combined training increases the motivation of students, qualification of teachers, personalized learning process. At the same time there are no reliable methods of assessing the quality of education and training standards. It is important that blended learning strategy to support the institutional goals and had an effective organizational model for support.

  1. Work in Progress - Developing Joint Degrees through E-Learning Systems

    OpenAIRE

    Aguirre Herrera, Sandra; Quemada Vives, Juan; Salvachúa Rodríguez, Joaquín

    2008-01-01

    The development of Joint Degrees is an important mechanism for opening higher education systems nationwide, adapting them to the international standard, and promoting quality assessment to a broader environment. Since e-Learning systems covers a wide range of academic programs, and as joint degrees such as e-Learning are rapidly growing trends, finding a suitable solution that enables universities to design joint degrees through their own e-Learning systems becomes necessary. This paper intro...

  2. Learning Safety Assessment from Accidents in a University Environment

    OpenAIRE

    Jensen, Niels; Jørgensen, Sten Bay

    2013-01-01

    This contribution describes how a chemical engineering department started learning from accidents during experimental work and ended up implementing an industrially inspired system for risk assessment of new and existing experimental setups as well as a system for assessing potential risk from the chemicals used in the experimental work. These experiences have led to recent developments which focus increasingly on the a theoretical basis for modeling and reasoning on safety as well as operati...

  3. Assessment of Learning Strategies: Self-Report Questionnaire or Learning Task

    Science.gov (United States)

    Kikas, Eve; Jõgi, Anna-Liisa

    2016-01-01

    Two types of assessment instruments were developed to assess middle school students' learning strategies, and their effectiveness in predicting various learning outcomes was examined. The participants were 565 middle school students. Three subscales (rehearsal, organization, elaboration) from the "Motivated Strategies for Learning…

  4. Interactive Videos Enhance Learning about Socio-Ecological Systems

    Science.gov (United States)

    Smithwick, Erica; Baxter, Emily; Kim, Kyung; Edel-Malizia, Stephanie; Rocco, Stevie; Blackstock, Dean

    2018-01-01

    Two forms of interactive video were assessed in an online course focused on conservation. The hypothesis was that interactive video enhances student perceptions about learning and improves mental models of social-ecological systems. Results showed that students reported greater learning and attitudes toward the subject following interactive video.…

  5. Lexmeter: validation of an automated system for the assessment of lexical competence of medical students as a base for an adaptive e-learning system

    Directory of Open Access Journals (Sweden)

    Fabrizio eConsorti

    2015-02-01

    Full Text Available Distance learning is used in medical education, even if some recent meta-analyses indicated that it is no more effective than traditional methods. To exploit the technological capabilities, adaptive distance learning systems aim to bridge the gap between the educational offer and the learner’s need. A decrease of lexical competence has been noted in many western countries, so lexical competence could be a possible target for adaptation. The Adaptive message learning project (Am-learning is aimed at designing and implementing an adaptive e-learning system, driven by lexical competence. The goal of the project is to modulate texts according to the estimated skill of learners, to allow a better comprehension. Lexmeter is the first of the four modules of the Am-learning system. It outlines an initial profile of the learner’s lexical competence and can also produce cloze tests, a test based on a completion task.A validation test of Lexmeter was run on 443 medical students of the 1st, 3rd and 6th year at the University Sapienza of Rome. Six cloze tests were automatically produced, with ten gaps each. The tests were different for each year and with varying levels of difficulty. A last cloze test was manually created as a control. The difference of the mean score between the easy tests and the tests with a medium level of difficulty was statistically significant for the 3rd year students but not for 1st and 6th year. The score of the automatically generated tests showed a slight but significant correlation with the control test. The reliability (Cronbach alpha of the different tests fluctuated under and above .60, as an acceptable level. In fact, classical item analysis revealed that the tests were on the average too simple.Lexical competence is a relevant outcome and its assessment allows an early detection of students at risk. Cloze tests can also be used to assess specific knowledge of technical jargon and to train reasoning skill.

  6. Bootcamp EMMA MOOC Assessment for learning in practice

    NARCIS (Netherlands)

    Firssova, Olga; Brouns, Francis

    2016-01-01

    Formative assessment or assessment for learning is a relevant theme for teachers and educationalists. Formative assessment is a valuable tool for supporting the learning process. It is applied during learning and offers you more and better opportunities to guide your students. Formative assessment

  7. Computer-aided auscultation learning system for nursing technique instruction.

    Science.gov (United States)

    Hou, Chun-Ju; Chen, Yen-Ting; Hu, Ling-Chen; Chuang, Chih-Chieh; Chiu, Yu-Hsien; Tsai, Ming-Shih

    2008-01-01

    Pulmonary auscultation is a physical assessment skill learned by nursing students for examining the respiratory system. Generally, a sound simulator equipped mannequin is used to group teach auscultation techniques via classroom demonstration. However, nursing students cannot readily duplicate this learning environment for self-study. The advancement of electronic and digital signal processing technologies facilitates simulating this learning environment. This study aims to develop a computer-aided auscultation learning system for assisting teachers and nursing students in auscultation teaching and learning. This system provides teachers with signal recording and processing of lung sounds and immediate playback of lung sounds for students. A graphical user interface allows teachers to control the measuring device, draw lung sound waveforms, highlight lung sound segments of interest, and include descriptive text. Effects on learning lung sound auscultation were evaluated for verifying the feasibility of the system. Fifteen nursing students voluntarily participated in the repeated experiment. The results of a paired t test showed that auscultative abilities of the students were significantly improved by using the computer-aided auscultation learning system.

  8. Increasing Student Metacognition and Learning through Classroom-Based Learning Communities and Self-Assessment

    Directory of Open Access Journals (Sweden)

    Amy Siegesmund

    2016-05-01

    Full Text Available Student overconfidence challenges success in introductory biology. This study examined the impact of classroom learning communities and self-assessment on student metacognition and subsequent impact on student epistemological beliefs, behaviors, and learning. Students wrote weekly self-assessments reflecting on the process of learning and received individual feedback. Students completed a learning strategies inventory focused on metacognition and study behaviors at the beginning and end of the semester and a Student Assessment of their Learning Gains (SALG at the end of the semester. Results indicated significant changes in both metacognition and study behaviors over the course of the semester, with a positive impact on learning as determined by broad and singular measures. Self-assessments and SALG data demonstrated a change in student beliefs and behaviors. Taken together, these findings argue that classroom learning communities and self-assessment can increase student metacognition and change student epistemological beliefs and behaviors.

  9. Assessment of first-year medical students' perceptions of teaching and learning through team-based learning sessions.

    Science.gov (United States)

    Obad, Adam S; Peeran, Ahmed A; Shareef, Mohammad Abrar; Alsheikh, Wissal J; Kalagi, Dana A; AlAmodi, Abdulhadi A; Khan, Tehreem A; Shaikh, Abdul Ahad; Ganguly, Paul; Yaqinuddin, Ahmed

    2016-12-01

    Team-based learning (TBL) is an emerging teaching and learning strategy being employed in medical schools. The College of Medicine at Alfaisal University has adopted a TBL approach as an instructional method for first-year medical students. The aim of the present study was to describe the TBL method employed at Alfaisal University College of Medicine and to assess first-year medical students' perceptions of this learning modality for the anatomy- and physiology-based blocks/courses in organ systems form of curriculum. A five-point Likert scale questionnaire was structured based on Kirkpatrick's theory and assessed three major domains: reaction, learning, and behavior. Confirmatory factor analysis (CFA) and Cronbach's α-coefficient tests were used to assess the validity and reliability of the construct, respectively. CFA showed an adequate validity of the survey and Cronbach's α revealed an acceptable internal uniformity (0.69). A total of 185 respondents rated reaction, learning, and behavior toward introduction of TBL as 3.53 ± 1.01, 3.59 ± 1.12, and 3.57 ± 1.12, respectively. Excellent students rated TBL highly in all major domains compared with borderline students (reaction, behavior, and learning domains with P values of teaching and learning strategy for functional anatomy, and prior involvement in teamwork and academic performance correlates with higher ratings of TBL. Copyright © 2016 the American Physiological Society.

  10. [Remote intelligent Brunnstrom assessment system for upper limb rehabilitation for post-stroke based on extreme learning machine].

    Science.gov (United States)

    Wang, Yue; Yu, Lei; Fu, Jianming; Fang, Qiang

    2014-04-01

    In order to realize an individualized and specialized rehabilitation assessment of remoteness and intelligence, we set up a remote intelligent assessment system of upper limb movement function of post-stroke patients during rehabilitation. By using the remote rehabilitation training sensors and client data sampling software, we collected and uploaded the gesture data from a patient's forearm and upper arm during rehabilitation training to database of the server. Then a remote intelligent assessment system, which had been developed based on the extreme learning machine (ELM) algorithm and Brunnstrom stage assessment standard, was used to evaluate the gesture data. To evaluate the reliability of the proposed method, a group of 23 stroke patients, whose upper limb movement functions were in different recovery stages, and 4 healthy people, whose upper limb movement functions were normal, were recruited to finish the same training task. The results showed that, compared to that of the experienced rehabilitation expert who used the Brunnstrom stage standard table, the accuracy of the proposed remote Brunnstrom intelligent assessment system can reach a higher level, as 92.1%. The practical effects of surgery have proved that the proposed system could realize the intelligent assessment of upper limb movement function of post-stroke patients remotely, and it could also make the rehabilitation of the post-stroke patients at home or in a community care center possible.

  11. Approaching Assessment from a Learning Perspective: Elevating Assessment beyond Technique

    Science.gov (United States)

    Simms, Michele; George, Beena

    2014-01-01

    Assessment is a key process in assuring quality education but how is it linked to the scholarship of teaching and learning (SoTL)? How can we join teaching and learning to the assessment process rather than view it as a stand-alone component in course and/or program development? This paper explores the relationship between assessment and the SoTL…

  12. Assessing Learned Helplessness in Poor Readers.

    Science.gov (United States)

    Winograd, Peter; Niquette, Garland

    1988-01-01

    Feelings of helplessness can impact on learning to read. This research review illustrates problems in assessing learned helplessness, including instrumentation inadequacies, lack of comprehensive causal schemes, context specificity, etc. Observations of and discussions with the child are recommended in the assessment process. Guidelines for…

  13. Pedagogic Effects of Cooperative Learning Assessment in the Chemistry I Classroom

    Science.gov (United States)

    Champion, Jennifer

    Over the last 30 years, there has been ongoing research and debate concerning the implementation and effectiveness of cooperative learning in the classroom. The problem is determining the fair assignment of individual grades while using cooperative work. Teachers have limited time to compile, equate, and convert group grades for each student. The purpose of this quasi-experimental study was to examine the impact of cooperative learning assessment on student achievement. This study aimed to determine the relationship between teacher-assigned/group-elected laboratory positions (independent variable) and academic achievement (dependent variable) while using the cards on the table approach of cooperative learning assessment. Participants consisted of 2 classes of Chemistry I students enrolled in a small rural school system. Alternative assessment practices such as the cards on the table approach of cooperative learning assessment were examined and discussed. Results of ANCOVA analyses indicated no significance difference in the adjusted scores between teacher-assigned versus group-elected laboratory positions within structured laboratory groups on the academic achievement of Chemistry I students as measured by a standardized pretest/posttest while using the cooperative learning assessment. Conducting paired samples t tests revealed the group-assigned students improved significantly from pretest to posttest while the teacher-assigned students had no significant improvements. The study may affect positive social change by helping teachers develop guidelines for fair assessment of individual grades from cooperative learning activities and to enrich the academic repertoire of students, increasing their awareness of accountability and collaboration.

  14. Assessment for learning in innovation and entrepreneurship education

    DEFF Research Database (Denmark)

    Rasmussen, Radmila M.

    2017-01-01

    Purpose This chapter exemplifies how assessment is performed in innovation and entrepreneurship (I&E) at the university education and how educators apply and view formative assessment as an important tool in enhancing students’ learning outcomes. Methodology/approach A case study methodology...... to conduct assessment that stimulates students learning in I&E-education. Originality/value Considering that the research on how assessment in I&E-education impacts students learning is limited, this study provides important contribution by identifying links between formative assessment types and enhancement...... responsible educators focusing on alignment between learning goals, assessment forms and criteria, and feedback. Findings The analysis shows that educators emphasize the importance of formative and learner-centered assessment forms alongside summative, credit-giving assessment. Educators experience...

  15. Triangulating Assessment of Online Collaborative Learning

    Science.gov (United States)

    Lock, Jennifer; Johnson, Carol

    2015-01-01

    Collaboration plays an integral role in the construction of knowledge in online learning environments. A supportive foundation for learning can be created through the intentional design of formative and summative assessments that embrace self-, peer-, and instructor assessment practices. The purpose of this article is to: (1) examine current…

  16. Social software: E-learning beyond learning management systems

    DEFF Research Database (Denmark)

    Dalsgaard, Christian

    2006-01-01

    The article argues that it is necessary to move e-learning beyond learning management systems and engage students in an active use of the web as a resource for their self-governed, problem-based and collaborative activities. The purpose of the article is to discuss the potential of social software...... to move e-learning beyond learning management systems. An approach to use of social software in support of a social constructivist approach to e-learning is presented, and it is argued that learning management systems do not support a social constructivist approach which emphasizes self-governed learning...... activities of students. The article suggests a limitation of the use of learning management systems to cover only administrative issues. Further, it is argued that students' self-governed learning processes are supported by providing students with personal tools and engaging them in different kinds of social...

  17. Student and Staff Perceptions of a Learning Management System for Blended Learning in Teacher Education

    Science.gov (United States)

    Holmes, Kathryn A.; Prieto-Rodriguez, Elena

    2018-01-01

    Higher education institutions routinely use Learning Management Systems (LMS) for multiple purposes; to organise coursework and assessment, to facilitate staff and student interactions, and to act as repositories of learning objects. The analysis reported here involves staff (n = 46) and student (n = 470) responses to surveys as well as data…

  18. Content Classification and Context-Based Retrieval System for E-Learning

    Science.gov (United States)

    Mittal, Ankush; Krishnan, Pagalthivarthi V.; Altman, Edward

    2006-01-01

    A recent focus in web based learning systems has been the development of reusable learning materials that can be delivered as personalized courses depending of a number of factors such as the user's background, his/her learning preferences, current knowledge based on previous assessments, or previous browsing patterns. The student is often…

  19. Public policies: right to learn and formative assessment

    Directory of Open Access Journals (Sweden)

    Antonio Chizzotti

    2016-09-01

    Full Text Available This paper deals with the right to learn in school type education and considers the assessment as assurance of teaching and learning quality. It deals with the current evaluation processes and discriminatory misconceptions of merely summative assessments, which tend to qualify students. This text evaluates the punitive bias of meritocratic grading of learning and argues that only formative assessment can ensure the right to learn

  20. Human Spaceflight Conjunction Assessment: Lessons Learned

    Science.gov (United States)

    Smith, Jason T.

    2011-01-01

    This viewgraph presentation reviews the process of a human space flight conjunction assessment and lessons learned from the more than twelve years of International Space Station (ISS) operations. Also, the application of these lessons learned to a recent ISS conjunction assessment with object 84180 on July 16, 2009 is also presented.

  1. New designing of E-Learning systems with using network learning

    OpenAIRE

    Malayeri, Amin Daneshmand; Abdollahi, Jalal

    2010-01-01

    One of the most applied learning in virtual spaces is using E-Learning systems. Some E-Learning methodologies has been introduced, but the main subject is the most positive feedback from E-Learning systems. In this paper, we introduce a new methodology of E-Learning systems entitle "Network Learning" with review of another aspects of E-Learning systems. Also, we present benefits and advantages of using these systems in educating and fast learning programs. Network Learning can be programmable...

  2. e-Learning in Advanced Life Support-What factors influence assessment outcome?

    Science.gov (United States)

    Thorne, C J; Lockey, A S; Kimani, P K; Bullock, I; Hampshire, S; Begum-Ali, S; Perkins, G D

    2017-05-01

    To establish variables which are associated with favourable Advanced Life Support (ALS) course assessment outcomes, maximising learning effect. Between 1 January 2013 and 30 June 2014, 8218 individuals participated in a Resuscitation Council (UK) e-learning Advanced Life Support (e-ALS) course. Participants completed 5-8h of online e-learning prior to attending a one day face-to-face course. e-Learning access data were collected through the Learning Management System (LMS). All participants were assessed by a multiple choice questionnaire (MCQ) before and after the face-to-face aspect alongside a practical cardiac arrest simulation (CAS-Test). Participant demographics and assessment outcomes were analysed. The mean post e-learning MCQ score was 83.7 (SD 7.3) and the mean post-course MCQ score was 87.7 (SD 7.9). The first attempt CAS-Test pass rate was 84.6% and overall pass rate 96.6%. Participants with previous ALS experience, ILS experience, or who were a core member of the resuscitation team performed better in the post-course MCQ, CAS-Test and overall assessment. Median time spent on the e-learning was 5.2h (IQR 3.7-7.1). There was a large range in the degree of access to e-learning content. Increased time spent accessing e-learning had no effect on the overall result (OR 0.98, P=0.367) on simulated learning outcome. Clinical experience through membership of cardiac arrest teams and previous ILS or ALS training were independent predictors of performance on the ALS course whilst time spent accessing e-learning materials did not affect course outcomes. This supports the blended approach to e-ALS which allows participants to tailor their e-learning experience to their specific needs. Copyright © 2017 Elsevier B.V. All rights reserved.

  3. ASSESSMENT OF E-LEARNING NEEDS AMONG STUDENTS OF COLLEGES OF EDUCATION

    Directory of Open Access Journals (Sweden)

    Hamid Mohammad AZIMI

    2013-10-01

    Full Text Available This study is a descriptive and survey type work. Main objective of this research is to explore e-learning system components needs among students of colleges of education (one year Bachelor of Education or B.Ed. degree programme affiliated by University of Mysore, India. Needs assessment is one of the main investigative tools used by institutions to the identification of actual needs, gaps, and hidden parts in the system and other activities. Through a comprehensive needs assessment process, an institution can establish its e-learning goals. Based on this view, a researcher made questionnaire was designed and validated by experts in teacher education, ICT and e-learning field. For reliability of the tool a pilot test was carried and the Alpha Cronbach value found .8980 and classified as having acceptable. Researcher tried to find out the most high and the lowest ranks in needs of students. Also gender, type of institutions on dependency to government financial aids, types of learning subjects as background variables were studied.

  4. In it together: Organizational learning through participation in environmental assessment

    Science.gov (United States)

    Fitzpatrick, Patricia

    2005-07-01

    Can organizations learn through participation in environmental assessment (EA)? This was the central research question of a study that explored the linkages among sustainable development, EA, public participation, and learning. To address this question, the research design involved a comparative case study of two concurrent but geographically separate projects, the Wuskwatim generation station and transmission lines projects (Wuskwatim projects), and the Snap Lake Diamonds Project (Snap Lake project). The Wuskwatim projects involve the construction of a low head dam and three 230 kV transmission line segments in Northern Manitoba, Canada. The Snap Lake Project involves the construction and operation of a diamond mine 220 km northwest of Yellowknife, Northwest Territories, Canada, at the headwaters of the Lockhart River drainage system. The EAs of these proposed developments provided multiple opportunities for public (and organizational) involvement in the review, including comments on the scope of the assessment, information requests, and public hearings. Data collection included participant observation, semi-structured interviews with EA participants, and documentation generated through the course of the reviews. Data were organized using QSR Nvivo, a database software system. In this dissertation, three key contributions are made. The theoretical framework that draws together a number of separate but related fields of study---communicative action, discursive democracy, transformative learning, organizational learning---is the first contribution. The second is verification that organizations learn through participation in EA. Third, empirical support is presented far the assertion that transformative learning can address change beyond that experienced by the individual, to account for both policy-oriented and organizational learning. Related to the second contribution, results indicate that participants of EA engage in Teaming on multiple scales. Furthermore

  5. Online Reflective Writing Mechanisms and Its Effects on Self-Regulated Learning: A Case of Web-Based Portfolio Assessment System

    Science.gov (United States)

    Liang, Chaoyun; Chang, Chi-Cheng; Shu, Kuen-Ming; Tseng, Ju-Shih; Lin, Chun-Yu

    2016-01-01

    The purpose of the present study was to design reflective writing mechanisms in a web-based portfolio assessment system and evaluate its effects on self-regulated learning. Participants were two classes of juniors majoring in data processing and taking a course called "Website design" at a vocational high school in Taiwan. One class was…

  6. Embracing the Learning Paradigm to Foster Systems Thinking

    Science.gov (United States)

    Habron, Geoffrey; Goralnik, Lissy; Thorp, Laurie

    2012-01-01

    Purpose: Michigan State University developed an undergraduate, academic specialization in sustainability based on the learning paradigm. The purpose of this paper is to share initial findings on assessment of systems thinking competency. Design/methodology/approach: The 15-week course served 14 mostly third and fourth-year students. Assessment of…

  7. Technology enhanced peer learning and peer assessment

    DEFF Research Database (Denmark)

    Henriksen, Christian Bugge; Bregnhøj, Henrik; Rosthøj, Susanne

    2016-01-01

    This paper explores the application of learning designs featuring formalised and structured technology enhanced peer learning. These include student produced learning elements, peer review discussions and peer assessment in the BSc/MSc level summer course Restoration of European Ecosystems and Fr...... be a huge benefit from developing learning design patterns that facilitate informal peer learning and reinforce knowledge sharing practices.......This paper explores the application of learning designs featuring formalised and structured technology enhanced peer learning. These include student produced learning elements, peer review discussions and peer assessment in the BSc/MSc level summer course Restoration of European Ecosystems...... and Freshwaters (REEF), the Master thesis preparation seminars for the Master of Public Health (MPH) and the MOOC course Global Environmental Management (GEM). The application of student produced learning elements and peer review discussions is investigated by analyzing quotes from course evaluations...

  8. Tracing Assessment for learning Capability in Teachers (TACT)

    DEFF Research Database (Denmark)

    Otrel-Cass, Kathrin; Agerbo, Jette Nørgaard; Skipper-Jørgensen, Anette

    2018-01-01

    education program. This chapter presents preliminary survey and focus group interviews data after tracing 21 pre-service teachers over two years. Our findings reflected a picture of Danish student teachers who value in particular formative assessment practices, while summative assessment is acknowledged......The focus on assessment literate teachers who know how to construct, administer assessments and communicate learning outcomes on student learning raises questions on how student teachers can develop the necessary skills to assess their students' learning. This is so important since...... there is evidence that beginning teachers continue to feel under prepared to assess student learning. This chapter presents findings of a study conducted in Denmark with the aim of investigating how student teacher candidates develop the capacities to become ‘assessment literate' over the course of their teacher...

  9. A PEDAGOGICAL CRITICAL REVIEW OF ONLINE LEARNING SYSTEM

    Directory of Open Access Journals (Sweden)

    Dwi SULISWORO

    2016-08-01

    Full Text Available E-learning which have various shapes such as blog, classroom learning which is facilitated the World Wide Web; a mix of online instruction and meeting the class known as additional models or hybrid; or the full online experience, where all assessment and instruction is done electronically. Object relationship of learning and constructivist educational philosophy and confirmed that online learning has the orientation which is basically a constructivist ideology, where the combination of some of the knowledge is an inquiry-oriented activities and authentic and also promote the progress of the construction of new knowledge. Description of the online learning system in theory and practice can be illustrated in a few examples that have been found in the research that has been done and found new discoveries obtained in the study, but not everything can be done because of several factors. Please note that the components in the online learning system can serve as a learning system which is very strong influence on learning in the class. The objective of this research is to a pedagogical critical review of online learning system in theory and practice that can be applied by teachers in the teaching process in the classroom. The results obtained in this study were teachers and students need extra effort to make online classes and virtual. Further research is needed on appropriate strategies in order to determine the next result is more useful. There some advices for any studies that discuss online learning system are done in certain areas, namely the use of electricity and other disciplines such as social and humanities.

  10. Learning Safety Assessment from Accidents in a University Environment

    DEFF Research Database (Denmark)

    Jensen, Niels; Jørgensen, Sten Bay

    2013-01-01

    This contribution describes how a chemical engineering department started learning from accidents during experimental work and ended up implementing an industrially inspired system for risk assessment of new and existing experimental setups as well as a system for assessing potential risk from...... the chemicals used in the experimental work. These experiences have led to recent developments which focus increasingly on the a theoretical basis for modeling and reasoning on safety as well as operational aspects within a common framework. Presently this framework is being extended with barrier concepts both...

  11. Kinespell: Kinesthetic Learning Activity and Assessment in a Digital Game-Based Learning Environment

    Science.gov (United States)

    Cariaga, Ada Angeli; Salvador, Jay Andrae; Solamo, Ma. Rowena; Feria, Rommel

    Various approaches in learning are commonly classified into visual, auditory and kinesthetic (VAK) learning styles. One way of addressing the VAK learning styles is through game-based learning which motivates learners pursue knowledge holistically. The paper presents Kinespell, an unconventional method of learning through digital game-based learning. Kinespell is geared towards enhancing not only the learner’s spelling abilities but also the motor skills through utilizing wireless controllers. It monitors player’s performance through integrated assessment scheme. Results show that Kinespell may accommodate the VAK learning styles and is a promising alternative to established methods in learning and assessing students’ performance in Spelling.

  12. Assessing for Learning: Some Dimensions Underlying New Approaches to Educational Assessment.

    Science.gov (United States)

    Biggs, John

    1995-01-01

    Different models of performance assessment arise from interactions of three dimensions of assessment: the measurement versus the standards model of testing, quantitative and qualitative assumptions concerning the nature of learning, and whether learning and testing are situated or decontextualized. Addresses difficulties in implementing…

  13. The Role of Self-Assessment in Foundation of Mathematics Learning

    Science.gov (United States)

    Masriyah

    2018-01-01

    This research is motivated by the low performance of students who took Foundations of Mathematics course. This study was aimed to describe (1) the learning outcomes of students who learned Mathematics Foundation after learning axiomatic applying self-assessment; (2) the difficulty of students and the alternative solutions; and (3) the response of students toward Foundation of Mathematics learning taught by applying self-assessment. This research was a descriptive research. The subjects were 25 mathematics students who studied Foundation of Mathematics in odd semester of the 2015/2016 academic year. Data collection was done using questionnaires, and testing methods. Based on the results of data analysis, it can be concluded that the learning outcomes of students were categorized as “good.” Student responses were positive; the difficulties lied in the sub material: Classification of Axiom Systems and the requirements, Theorem and how the formation, and finite geometry. The alternatives deal with these difficulties are to give emphasis and explanation as needed on these materials, as well as provide some more exercises to reinforce their understanding.

  14. Students’ Perception about Learning Assessment in Higher Education

    Directory of Open Access Journals (Sweden)

    Holmes Rodríguez-Espinosa

    2016-09-01

    Full Text Available This research aimed to know university students’ perception about learning assessment carried out by their teachers, their level of objectivity and skill, among other aspects. The study was conducted in Medellin, Colombia, between January and July 2015. A final sample size of 400 university students from public and private institutions, randomly selected, was used. The data analysis was carried out by using multivariate analysis of variance (MANOVA with orthogonal-type canonical contrast, factor analysis, and one-dimensional type frequency analysis. It was found that university students have a good perception about the assessment practices of their teachers. Likewise, highly significant differences between men and women in their perception of learning assessment were identified. Students consider that learning assessment practices have contributed to improve their learning and are in accordance with the learning objectives. Nevertheless, most students have felt that their teachers are not objective in evaluation and they often use questions that confuse students, and very theoretical questions without application to practice. A lack of non-traditional assessment practices, such as peer assessment, self-assessment as well as virtual platforms use for assessments, was found. These findings imply the need to improve teacher training on assessment skills to allow them to plan evaluation as a strategy to improve learning, involving students in an active way.

  15. Teaching and Assessing Systems-based Competency in Ophthalmology Residency Training Programs

    NARCIS (Netherlands)

    Lee, Andrew G.; Beaver, Hilary A.; Greenlee, Emily; Oetting, Thomas A.; Boldt, H. Culver; Olson, Richard; Abramoff, Michael; Carter, Keith

    2007-01-01

    The Accreditation Council for Graduate Medical Education (ACGME) has mandated that residency programs, including ophthalmology, teach and assess specific competencies, including systems-based learning. We review the pertinent literature on systems-based learning for ophthalmology and recommend

  16. Assessment of (Computer-Supported) Collaborative Learning

    Science.gov (United States)

    Strijbos, J. -W.

    2011-01-01

    Within the (Computer-Supported) Collaborative Learning (CS)CL research community, there has been an extensive dialogue on theories and perspectives on learning from collaboration, approaches to scaffold (script) the collaborative process, and most recently research methodology. In contrast, the issue of assessment of collaborative learning has…

  17. Peer/Self Assessment and Student Learning

    Science.gov (United States)

    Ndoye, Abdou

    2017-01-01

    Effective and durable learning achievements can result from students' engagement in their own learning. This study explored students' perceptions of the mechanisms and processes through which peer and self-assessment can contribute to their learning. More specifically, the study investigated students' perceived ways in which peer and…

  18. Supervised Learning for Dynamical System Learning.

    Science.gov (United States)

    Hefny, Ahmed; Downey, Carlton; Gordon, Geoffrey J

    2015-01-01

    Recently there has been substantial interest in spectral methods for learning dynamical systems. These methods are popular since they often offer a good tradeoff between computational and statistical efficiency. Unfortunately, they can be difficult to use and extend in practice: e.g., they can make it difficult to incorporate prior information such as sparsity or structure. To address this problem, we present a new view of dynamical system learning: we show how to learn dynamical systems by solving a sequence of ordinary supervised learning problems, thereby allowing users to incorporate prior knowledge via standard techniques such as L 1 regularization. Many existing spectral methods are special cases of this new framework, using linear regression as the supervised learner. We demonstrate the effectiveness of our framework by showing examples where nonlinear regression or lasso let us learn better state representations than plain linear regression does; the correctness of these instances follows directly from our general analysis.

  19. Using Machine Learning to Advance Personality Assessment and Theory.

    Science.gov (United States)

    Bleidorn, Wiebke; Hopwood, Christopher James

    2018-05-01

    Machine learning has led to important advances in society. One of the most exciting applications of machine learning in psychological science has been the development of assessment tools that can powerfully predict human behavior and personality traits. Thus far, machine learning approaches to personality assessment have focused on the associations between social media and other digital records with established personality measures. The goal of this article is to expand the potential of machine learning approaches to personality assessment by embedding it in a more comprehensive construct validation framework. We review recent applications of machine learning to personality assessment, place machine learning research in the broader context of fundamental principles of construct validation, and provide recommendations for how to use machine learning to advance our understanding of personality.

  20. Learning Content Management Systems

    Directory of Open Access Journals (Sweden)

    Tache JURUBESCU

    2008-01-01

    Full Text Available The paper explains the evolution of e-Learning and related concepts and tools and its connection with other concepts such as Knowledge Management, Human Resources Management, Enterprise Resource Planning, and Information Technology. The paper also distinguished Learning Content Management Systems from Learning Management Systems and Content Management Systems used for general web-based content. The newest Learning Content Management System, very expensive and yet very little implemented is one of the best tools that helps us to cope with the realities of the 21st Century in what learning concerns. The debates over how beneficial one or another system is for an organization, can be driven by costs involved, efficiency envisaged, and availability of the product on the market.

  1. Promoting system-level learning from project-level lessons

    Energy Technology Data Exchange (ETDEWEB)

    Jong, Amos A. de, E-mail: amosdejong@gmail.com [Innovation Management, Utrecht (Netherlands); Runhaar, Hens A.C., E-mail: h.a.c.runhaar@uu.nl [Section of Environmental Governance, Utrecht University, Utrecht (Netherlands); Runhaar, Piety R., E-mail: piety.runhaar@wur.nl [Organisational Psychology and Human Resource Development, University of Twente, Enschede (Netherlands); Kolhoff, Arend J., E-mail: Akolhoff@eia.nl [The Netherlands Commission for Environmental Assessment, Utrecht (Netherlands); Driessen, Peter P.J., E-mail: p.driessen@geo.uu.nl [Department of Innovation and Environment Sciences, Utrecht University, Utrecht (Netherlands)

    2012-02-15

    A growing number of low and middle income nations (LMCs) have adopted some sort of system for environmental impact assessment (EIA). However, generally many of these EIA systems are characterised by a low performance in terms of timely information dissemination, monitoring and enforcement after licencing. Donor actors (such as the World Bank) have attempted to contribute to a higher performance of EIA systems in LMCs by intervening at two levels: the project level (e.g. by providing scoping advice or EIS quality review) and the system level (e.g. by advising on EIA legislation or by capacity building). The aims of these interventions are environmental protection in concrete cases and enforcing the institutionalisation of environmental protection, respectively. Learning by actors involved is an important condition for realising these aims. A relatively underexplored form of learning concerns learning at EIA system-level via project level donor interventions. This 'indirect' learning potentially results in system changes that better fit the specific context(s) and hence contribute to higher performances. Our exploratory research in Ghana and the Maldives shows that thus far, 'indirect' learning only occurs incidentally and that donors play a modest role in promoting it. Barriers to indirect learning are related to the institutional context rather than to individual characteristics. Moreover, 'indirect' learning seems to flourish best in large projects where donors achieved a position of influence that they can use to evoke reflection upon system malfunctions. In order to enhance learning at all levels donors should thereby present the outcomes of the intervention elaborately (i.e. discuss the outcomes with a large audience), include practical suggestions about post-EIS activities such as monitoring procedures and enforcement options and stimulate the use of their advisory reports to generate organisational memory and ensure a better

  2. Promoting system-level learning from project-level lessons

    International Nuclear Information System (INIS)

    Jong, Amos A. de; Runhaar, Hens A.C.; Runhaar, Piety R.; Kolhoff, Arend J.; Driessen, Peter P.J.

    2012-01-01

    A growing number of low and middle income nations (LMCs) have adopted some sort of system for environmental impact assessment (EIA). However, generally many of these EIA systems are characterised by a low performance in terms of timely information dissemination, monitoring and enforcement after licencing. Donor actors (such as the World Bank) have attempted to contribute to a higher performance of EIA systems in LMCs by intervening at two levels: the project level (e.g. by providing scoping advice or EIS quality review) and the system level (e.g. by advising on EIA legislation or by capacity building). The aims of these interventions are environmental protection in concrete cases and enforcing the institutionalisation of environmental protection, respectively. Learning by actors involved is an important condition for realising these aims. A relatively underexplored form of learning concerns learning at EIA system-level via project level donor interventions. This ‘indirect’ learning potentially results in system changes that better fit the specific context(s) and hence contribute to higher performances. Our exploratory research in Ghana and the Maldives shows that thus far, ‘indirect’ learning only occurs incidentally and that donors play a modest role in promoting it. Barriers to indirect learning are related to the institutional context rather than to individual characteristics. Moreover, ‘indirect’ learning seems to flourish best in large projects where donors achieved a position of influence that they can use to evoke reflection upon system malfunctions. In order to enhance learning at all levels donors should thereby present the outcomes of the intervention elaborately (i.e. discuss the outcomes with a large audience), include practical suggestions about post-EIS activities such as monitoring procedures and enforcement options and stimulate the use of their advisory reports to generate organisational memory and ensure a better information

  3. Can teachers use assessment to improve learning?

    Directory of Open Access Journals (Sweden)

    Paul Black

    2009-12-01

    Full Text Available This article discusses two different purposes of assessment: formative assessment is designed to support pupils’ learning, whilst summative assessment is designed to review what has been learnt, perhaps to record it in certificates or diplomas. Formative assessment is concerned with the frequent interactions between teacher and pupils which are essential if the teacher’s plans can be matched to the learning needs of the pupils. Teachers who are accustomed to simply telling pupils, rather than engaging them in dialogue, find it hard to change. Pupils also have to change from passive reception to active engagement in the learning. Formative work can be undermined if pupils or teachers are worry too much about summative tests; such worry can lead them to focus entirely on practising for the tests and not on the good habits of learning which would in fact be the best preparation for doing well in them.

  4. Assessment of unskilled adults’ prior learning – fair to whom?

    DEFF Research Database (Denmark)

    Aarkrog, Vibe

    2014-01-01

    As in many other countries, Danish adult education policy focuses on how to encourage adults for education; the most important and challenging group of adults being those with few or no formal qualifications. Assessment of prior learning (APL) is perceived as an important tool for motivating adults...... the school system and curricular standards. Applying a theoretical frame that includes concepts of communities of practice (Wenger), the development from novice to expert (Dreyfus & Dreyfus), and Bernstein’s distinction between horizontal and vertical learning, the paper gives an account of the students......’ development in relation to assessment of their prior learning. The study includes a number of VET-programs. The paper focuses on one of them: Social and health care and clerical assistant. It addresses questions of what is a fair APL, perceived in relation to both the adults’ knowing in practice...

  5. Online Faculty Development and Assessment System (OFDAS)

    Science.gov (United States)

    Villar, Luis M.; Alegre, Olga M.

    2006-01-01

    The rapid growth of online learning has led to the development of faculty inservice evaluation models focused on quality improvement of degree programs. Based on current "best practices" of student online assessment, the Online Faculty Development and Assessment System (OFDAS), created at the Canary Islands, was designed to serve the…

  6. Assessing Learning in a Sociology Department: What Do Students Say That They Learn?

    Science.gov (United States)

    Bandini, Julia; Shostak, Sara; Cunningham, David; Cadge, Wendy

    2016-01-01

    Assessment plays a central role in evaluating and strengthening student learning in higher education, and sociology departments, in particular, have increasingly become interested in engaging in assessment activities to better understand students' learning. This qualitative study builds on previous research on assessment by asking what students in…

  7. Modelling the pre-assessment learning effects of assessment: evidence in the validity chain.

    Science.gov (United States)

    Cilliers, Francois J; Schuwirth, Lambert W T; van der Vleuten, Cees P M

    2012-11-01

    We previously developed a model of the pre-assessment learning effects of consequential assessment and started to validate it. The model comprises assessment factors, mechanism factors and learning effects. The purpose of this study was to continue the validation process. For stringency, we focused on a subset of assessment factor-learning effect associations that featured least commonly in a baseline qualitative study. Our aims were to determine whether these uncommon associations were operational in a broader but similar population to that in which the model was initially derived. A cross-sectional survey of 361 senior medical students at one medical school was undertaken using a purpose-made questionnaire based on a grounded theory and comprising pairs of written situational tests. In each pair, the manifestation of an assessment factor was varied. The frequencies at which learning effects were selected were compared for each item pair, using an adjusted alpha to assign significance. The frequencies at which mechanism factors were selected were calculated. There were significant differences in the learning effect selected between the two scenarios of an item pair for 13 of this subset of 21 uncommon associations, even when a p-value of value. For a subset of uncommon associations in the model, the role of most assessment factor-learning effect associations and the mechanism factors involved were supported in a broader but similar population to that in which the model was derived. Although model validation is an ongoing process, these results move the model one step closer to the stage of usefully informing interventions. Results illustrate how factors not typically included in studies of the learning effects of assessment could confound the results of interventions aimed at using assessment to influence learning. © Blackwell Publishing Ltd 2012.

  8. Integration of a framework with a learning management system for detection, assessment and assistance of university students with reading difficulties

    Directory of Open Access Journals (Sweden)

    Carolina Mejía Corredor

    2015-12-01

    Full Text Available Rev.esc.adm.neg Dyslexia is a common learning disability in Spanish-speaking university students, and requires special attention from higher educational institutions in order to support affected individuals during their learning process. In previous studies, a framework to detect, assess and assist university students with reading difficulties related to dyslexia was developed. In this paper, the integration of this framework with a Learning Management System (LMS is presented. Two case studies were performed to test the functionality and the usability of this integration. The first case study was carried out with 20 students, while the second one with four teachers. The results show that both students and teachers were satisfied with the integration performed in Moodle.ce, among others.

  9. Assessment for Learning as Support for Student Self-Regulation

    Science.gov (United States)

    Heritage, Margaret

    2018-01-01

    Assessment for learning (AfL) is integral to teaching and learning, and has as its central foci (i) pedagogical intervention in the immediacy of student learning, and (ii) the students' agency in the learning and assessment process. The role that students adopt in AfL is consistent with the idea of self-regulated learning, which involves students…

  10. Assessment of learning components of management training course ...

    African Journals Online (AJOL)

    Assessment of learning components of any training course provides a benchmark through which training institutions or organizers could assess the effectiveness of the training. The study assessed learning components of agricultural research management training course organized for senior research managers in Nigeria.

  11. Problem-Based Learning in Communication Systems: Student Perceptions and Achievement

    Science.gov (United States)

    Mitchell, John E.; Canavan, Brian; Smith, Jan

    2010-01-01

    The paper presents a curriculum design for, and subsequent evaluation of, a communications systems course using problem-based learning (PBL) as the instructional methodology. It details the rationale for implementing PBL as well as reporting intended learning outcomes and assessing the students' achievements. (Contains 2 figures and 4 tables.)

  12. Analysing Information Systems Security In Higher Learning Institutions Of Uganda

    OpenAIRE

    Mugyenyi Raymond

    2017-01-01

    Information communication technology has increased globalisation in higher learning institution all over the world. This has been achieved through introduction of systems that ease operations related to information handling in the institutions. The paper assessed and analysed the information systems security performance status in higher learning institutions of Uganda. The existing policies that govern the information security have also been analysed together with the current status of inform...

  13. Using Assessment for Learning Mathematics with Mobile Tablet Based Solutions

    Directory of Open Access Journals (Sweden)

    Ghislain Maurice Norbert Isabwe

    2014-03-01

    Full Text Available This article discusses assessment for learning in mathematics subjects. Teachers of large classes face the challenge of regularly assessing studentsཿ ongoing mathematical learning achievements. Taking the complexity of assessment and feedback for learning as a background, we have developed a new approach to the assessment for learning mathematics at university level. We devised mobile tablet technology supported assessment processes, and we carried out user studies in both Rwanda and Norway. Results of our study indicated that students found it fruitful to be involved in assessing other studentsཿ mathematics work, i.e. assessing fellow studentsཿ answers to mathematical tasks. By being involved in the assessment process, the students expected mathematical learning gains. Their providing and obtaining of feedback to/from their fellow students using technology supported tools were highly appreciated as regards their own mathematical learning process.

  14. Rethinking and Restructuring an Assessment System via Effective Deployment of Technology

    Science.gov (United States)

    Okonkwo, Charity

    2010-01-01

    Every instructional process involves a strategic assessment system for a complete teaching-learning circle. Assessment system which is seriously challenged calls for a change in the approach. The National Open University of Nigeria (NOUN) assessment system at present is challenged. The large number of students and numerous courses offered by NOUN…

  15. Assessment of Deafblind Access to Manual Language Systems (ADAMLS)

    Science.gov (United States)

    Blaha, Robbie; Carlson, Brad

    2007-01-01

    This document presents the Assessment of Deafblind Access to Manual Language Systems (ADAMLS), a resource for educational teams who are responsible for developing appropriate adaptations and strategies for children who are deafblind who are candidates for learning manual language systems. The assessment tool should be used for all children with a…

  16. Concurrent validity of persian version of wechsler intelligence scale for children - fourth edition and cognitive assessment system in patients with learning disorder.

    Science.gov (United States)

    Rostami, Reza; Sadeghi, Vahid; Zarei, Jamileh; Haddadi, Parvaneh; Mohazzab-Torabi, Saman; Salamati, Payman

    2013-04-01

    The aim of this study was to compare the Persian version of the wechsler intelligence scale for children - fourth edition (WISC-IV) and cognitive assessment system (CAS) tests, to determine the correlation between their scales and to evaluate the probable concurrent validity of these tests in patients with learning disorders. One-hundered-sixty-two children with learning disorder who were presented at Atieh Comprehensive Psychiatry Center were selected in a consecutive non-randomized order. All of the patients were assessed based on WISC-IV and CAS scores questionnaires. Pearson correlation coefficient was used to analyze the correlation between the data and to assess the concurrent validity of the two tests. Linear regression was used for statistical modeling. The type one error was considered 5% in maximum. There was a strong correlation between total score of WISC-IV test and total score of CAS test in the patients (r=0.75, Ptest in children with learning disorders. A concurrent validity is established between the two tests and their scales.

  17. Mate, You Should Know This! Re-Negotiating Practice after a Critical Incident in the Assessment of On-Job Learning

    Science.gov (United States)

    Vaughan, Karen; Kear, Andrew; MacKenzie, Heath

    2014-01-01

    This article examines a critical incident during research investigating a new assessment system for on-job learning in carpentry. The system was designed to establish clear relationships between supportive learning environments and purposeful, professional assessment of learners' progress through "naturally occurring evidence" on…

  18. Toward A Dual-Learning Systems Model of Speech Category Learning

    Directory of Open Access Journals (Sweden)

    Bharath eChandrasekaran

    2014-07-01

    Full Text Available More than two decades of work in vision posits the existence of dual-learning systems of category learning. The reflective system uses working memory to develop and test rules for classifying in an explicit fashion, while the reflexive system operates by implicitly associating perception with actions that lead to reinforcement. Dual-learning systems models hypothesize that in learning natural categories, learners initially use the reflective system and, with practice, transfer control to the reflexive system. The role of reflective and reflexive systems in auditory category learning and more specifically in speech category learning has not been systematically examined. In this article we describe a neurobiologically-constrained dual-learning systems theoretical framework that is currently being developed in speech category learning and review recent applications of this framework. Using behavioral and computational modeling approaches, we provide evidence that speech category learning is predominantly mediated by the reflexive learning system. In one application, we explore the effects of normal aging on non-speech and speech category learning. We find an age related deficit in reflective-optimal but not reflexive-optimal auditory category learning. Prominently, we find a large age-related deficit in speech learning. The computational modeling suggests that older adults are less likely to transition from simple, reflective, uni-dimensional rules to more complex, reflexive, multi-dimensional rules. In a second application we summarize a recent study examining auditory category learning in individuals with elevated depressive symptoms. We find a deficit in reflective-optimal and an enhancement in reflexive-optimal auditory category learning. Interestingly, individuals with elevated depressive symptoms also show an advantage in learning speech categories. We end with a brief summary and description of a number of future directions.

  19. Assessment for Learning in Inquiry Based Science Education

    DEFF Research Database (Denmark)

    Fornaguera, Cristina Carulla

    The study looks at assessment for learning and Inquiry Based Science Education —IBSE— as concepts established in a diversity of geographical areas, where the traditional summative assessment shapes what most individuals share as being experienced as assessment. Based on Leontiev and Radford...... the analytical process. The main contribution was the analysis and the results of researcher movement from a view of assessment considering learning as a psychological process in the mind, independent of the everyday life of individuals, towards one considering the inseparability of collective and individual...... as identifying and differentiating forms of researching assessment, changing the researcher’s perspective on research, and imagining a new theoretical approach to assessment for learning....

  20. Real-time Color Codes for Assessing Learning Process

    OpenAIRE

    Dzelzkalēja, L; Kapenieks, J

    2016-01-01

    Effective assessment is an important way for improving the learning process. There are existing guidelines for assessing the learning process, but they lack holistic digital knowledge society considerations. In this paper the authors propose a method for real-time evaluation of students’ learning process and, consequently, for quality evaluation of teaching materials both in the classroom and in the distance learning environment. The main idea of the proposed Color code method (CCM) is to use...

  1. Resident Self-Assessment and Learning Goal Development: Evaluation of Resident-Reported Competence and Future Goals.

    Science.gov (United States)

    Li, Su-Ting T; Paterniti, Debora A; Tancredi, Daniel J; Burke, Ann E; Trimm, R Franklin; Guillot, Ann; Guralnick, Susan; Mahan, John D

    2015-01-01

    To determine incidence of learning goals by competency area and to assess which goals fall into competency areas with lower self-assessment scores. Cross-sectional analysis of existing deidentified American Academy of Pediatrics' PediaLink individualized learning plan data for the academic year 2009-2010. Residents self-assessed competencies in the 6 Accreditation Council for Graduate Medical Education (ACGME) competency areas and wrote learning goals. Textual responses for goals were mapped to 6 ACGME competency areas, future practice, or personal attributes. Adjusted mean differences and associations were estimated using multiple linear and logistic regression. A total of 2254 residents reported 6078 goals. Residents self-assessed their systems-based practice (51.8) and medical knowledge (53.0) competencies lowest and professionalism (68.9) and interpersonal and communication skills (62.2) highest. Residents were most likely to identify goals involving medical knowledge (70.5%) and patient care (50.5%) and least likely to write goals on systems-based practice (11.0%) and professionalism (6.9%). In logistic regression analysis adjusting for postgraduate year (PGY), gender, and degree type (MD/DO), resident-reported goal area showed no association with the learner's relative self-assessment score for that competency area. In the conditional logistic regression analysis, with each learner serving as his or her own control, senior residents (PGY2/3+s) who rated themselves relatively lower in a competency area were more likely to write a learning goal in that area than were PGY1s. Senior residents appear to develop better skills and/or motivation to explicitly turn self-assessed learning gaps into learning goals, suggesting that individualized learning plans may help improve self-regulated learning during residency. Copyright © 2015 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

  2. Assessment of serotonergic system in formation of memory and learning

    Directory of Open Access Journals (Sweden)

    J. C. da Silva

    2017-11-01

    Full Text Available Abstract We evaluated the involvement of the serotonergic system on memory formation and learning processes in healthy adults Wistar rats. Fifty-seven rats of 5 groups had one serotonergic nuclei damaged by an electric current. Electrolytic lesion was carried out using a continuous current of 2mA during two seconds by stereotactic surgery. Animals were submitted to learning and memory tests. Rats presented different responses in the memory tests depending on the serotonergic nucleus involved. Both explicit and implicit memory may be affected after lesion although some groups showed significant difference and others did not. A damage in the serotonergic nucleus was able to cause impairment in the memory of Wistar. The formation of implicit and explicit memory is impaired after injury in some serotonergic nuclei.

  3. Investigating the Effect of Learning Styles in a Blended E-Learning System: An Extension of the Technology Acceptance Model (TAM)

    Science.gov (United States)

    Al-Azawei, Ahmed; Parslow, Patrick; Lundqvist, Karsten

    2017-01-01

    This study assesses learner perceptions of a blended e-learning system (BELS) and the feasibility of accommodating educational hypermedia systems (EHSs) according to learning styles using a modified version of the technology acceptance model (TAM). Recently, Moodle has been adopted by an Iraqi university alongside face-to-face (F2F) classrooms to…

  4. THE USE OF e-ASSESSMENTS IN THE NIGERIAN HIGHER EDUCATION SYSTEM

    Directory of Open Access Journals (Sweden)

    SIR, U. S. A. OSUJI,

    2012-08-01

    Full Text Available The rapid development of the information and communication technologies has brought about the modernization of teaching and learning across the globe. Today, teaching and learning are made easy through the use of computer technologies and/or the electronic and other multi-media elements. It is widely accepted that electronic learning naturally leads to electronic assessments or examinations. e-ssessments and e-examinations are widely used all over the world in the Open and Distance Learning institutions and some conventional face to face institutions. We are thus, moving from the pen and paper assessments to a paperless e-platform and e-assessments, which are necessary constants in the Open and Distance Learning (ODL system. e-assessments tend to eliminate the limitations and give answers to many questions emanating from the traditional assessments/examinations. Higher institutions in Nigeria are therefore advised to embrace it. The rest of the paper looks at e-assessment as a global change in assessment, benefits of e-assessment, challenges, requirements and responsibilities.

  5. SUPPORTING TEACHERS IN IMPLEMENTING FORMATIVE ASSESSMENT PRACTICES IN EARTH SYSTEMS SCIENCE

    Science.gov (United States)

    Harris, C. J.; Penuel, W. R.; Haydel Debarger, A.; Blank, J. G.

    2009-12-01

    An important purpose of formative assessment is to elicit student thinking to use in instruction to help all students learn and inform next steps in teaching. However, formative assessment practices are difficult to implement and thus present a formidable challenge for many science teachers. A critical need in geoscience education is a framework for providing teachers with real-time assessment tools as well as professional development to learn how to use formative assessment to improve instruction. Here, we describe a comprehensive support system, developed for our NSF-funded Contingent Pedagogies project, for addressing the challenge of helping teachers to use formative assessment to enhance student learning in middle school Earth Systems science. Our support system is designed to improve student understanding about the geosphere by integrating classroom network technology, interactive formative assessments, and contingent curricular activities to guide teachers from formative assessment to instructional decision-making and improved student learning. To accomplish this, we are using a new classroom network technology, Group Scribbles, in the context of an innovative middle-grades Earth Science curriculum called Investigating Earth Systems (IES). Group Scribbles, developed at SRI International, is a collaborative software tool that allows individual students to compose “scribbles” (i.e., drawings and notes), on “post-it” notes in a private workspace (a notebook computer) in response to a public task. They can post these notes anonymously to a shared, public workspace (a teacher-controlled large screen monitor) that becomes the centerpiece of group and class discussion. To help teachers implement formative assessment practices, we have introduced a key resource, called a teaching routine, to help teachers take advantage of Group Scribbles for more interactive assessments. Routine refers to a sequence of repeatable interactions that, over time, become

  6. Learning by Doing: Twenty Successful Active Learning Exercises for Information Systems Courses

    Directory of Open Access Journals (Sweden)

    Alanah Mitchell

    2017-01-01

    Full Text Available Aim/Purpose: This paper provides a review of previously published work related to active learning in information systems (IS courses. Background: There are a rising number of strategies in higher education that offer promise in regards to getting students’ attention and helping them learn, such as flipped classrooms and offering courses online. These learning strategies are part of the pedagogical technique known as active learning. Active learning is a strategy that became popular in the early 1990s and has proven itself as a valid tool for helping students to be engaged with learning. Methodology: This work follows a systematic method for identifying and coding previous research based on an aspect of interest. The authors identified and assessed research through a search of ABI/Inform scholarly journal abstracts and keywords, as well as additional research databases, using the search terms “active learning” and “information systems” from 2000 through June 2016. Contribution: This synthesis of active learning exercises provides guidance for information technology faculty looking to implement active learning strategies in their classroom by demonstrating how IS faculty might begin to introduce more active learning techniques in their teaching as well as by presenting a sample teaching agenda for a class that uses a mix of active and passive learning techniques to engage student learning. Findings: Twenty successful types of active learning exercises in IS courses are presented. Recommendations for Practitioners\t: This paper offers a “how to” resource of successful active learning strategies for IS faculty interested in implementing active learning in the classroom. Recommendation for Researchers: This work provides an example of a systematic literature review as a means to assess successful implementations of active learning in IS. Impact on Society: An updated definition of active learning is presented as well as a meaningful

  7. FORMATIVE ASSESSMENT MODEL OF LEARNING SUCCESS ACHIEVEMENTS

    Directory of Open Access Journals (Sweden)

    Mikhailova Elena Konstantinovna

    2013-05-01

    Full Text Available The paper is devoted to the problem of assessment of the school students’ learning success achievements. The problem is investigated from the viewpoint of assessing the students’ learning outcomes that is aimed to ensure the teachers and students with the means and conditions to improve the educational process and results.

  8. Learning Assessment in physical education: the relationship between assessment practices of teachers and learning approaches

    Directory of Open Access Journals (Sweden)

    Marco Vinicio Gutiérrez

    2015-02-01

    Full Text Available This article shows the result of an investigation that studied teachers’ assessment practices in Physical Education in public schools from Suba in Bogota and the relationship between these practices with both superfluous and superficial learning approaches. It is organized into two sections; the first presents a classification of the evaluation practices, and the second establishes the relationship between these practices with the superficial and profound learning approaches. This article nourishes itself from a mixed-method research approach wherein the sample consisted of 68 teachers from whom data was collected using a survey. This data was then analyzed using the statistical software R. The results show the object, the purpose, procedures and ways in which teachers develop their assessment practice in physical education, and as well show a trend towards promoting meaningful and profound learning.

  9. A Web-Based Learning Support System for Inquiry-Based Learning

    Science.gov (United States)

    Kim, Dong Won; Yao, Jingtao

    The emergence of the Internet and Web technology makes it possible to implement the ideals of inquiry-based learning, in which students seek truth, information, or knowledge by questioning. Web-based learning support systems can provide a good framework for inquiry-based learning. This article presents a study on a Web-based learning support system called Online Treasure Hunt. The Web-based learning support system mainly consists of a teaching support subsystem, a learning support subsystem, and a treasure hunt game. The teaching support subsystem allows instructors to design their own inquiry-based learning environments. The learning support subsystem supports students' inquiry activities. The treasure hunt game enables students to investigate new knowledge, develop ideas, and review their findings. Online Treasure Hunt complies with a treasure hunt model. The treasure hunt model formalizes a general treasure hunt game to contain the learning strategies of inquiry-based learning. This Web-based learning support system empowered with the online-learning game and founded on the sound learning strategies furnishes students with the interactive and collaborative student-centered learning environment.

  10. Intelligent Web-Based Learning System with Personalized Learning Path Guidance

    Science.gov (United States)

    Chen, C. M.

    2008-01-01

    Personalized curriculum sequencing is an important research issue for web-based learning systems because no fixed learning paths will be appropriate for all learners. Therefore, many researchers focused on developing e-learning systems with personalized learning mechanisms to assist on-line web-based learning and adaptively provide learning paths…

  11. Machine learning systems

    Energy Technology Data Exchange (ETDEWEB)

    Forsyth, R

    1984-05-01

    With the dramatic rise of expert systems has come a renewed interest in the fuel that drives them-knowledge. For it is specialist knowledge which gives expert systems their power. But extracting knowledge from human experts in symbolic form has proved arduous and labour-intensive. So the idea of machine learning is enjoying a renaissance. Machine learning is any automatic improvement in the performance of a computer system over time, as a result of experience. Thus a learning algorithm seeks to do one or more of the following: cover a wider range of problems, deliver more accurate solutions, obtain answers more cheaply, and simplify codified knowledge. 6 references.

  12. A comparison of the efficacy of test-driven learning versus self-assessment learning

    Science.gov (United States)

    He, Xiaohua; Canty, Anne

    2013-01-01

    Objective We compared self-assessment and test-driven learning in two groups of students who studied the same subject. Methods This was a randomized comparative experimental study. The subjects were 259 first-quarter students who were divided into a test group and a self-assessment group based on the methods they used for their learning assessments. We measured the scores and difficulty levels of 3 formal written exams. Students' attitudes toward self-assessment or test-driven learning were surveyed. Results The mean scores of exam 1, exam 2, and a summative exam were 34 (±6), 32 (±8), and 44 (±6) for the self-assessment group, respectively, with corresponding scores of 33 (±6), 33 (±7), 43 (±6) for the test group. There were no significant differences in the mean scores on all 3 tests between the two groups (p > .05). Of the students in the self-assessment group, 64% scored at least 90%, whereas 47% of students in the test group answered at least 90% of the questions correctly (p self-assessment and tests could have a significant impact on students' learning, but each offers different strengths and weaknesses. PMID:23957317

  13. Multi-viewpoint Smartphone AR-based Learning System for Solar Movement Observations

    Directory of Open Access Journals (Sweden)

    Ke Tian

    2014-06-01

    Full Text Available Understanding solar movement (e.g., solar diurnal motion is difficult for those are beginning to learn about astronomy. Previous research has revealed that observation-based learning can help make astronomical phenomena clearer to understand for such learners. In this research, Smartphone Augmented Reality (AR technology and 3D content were used to develop a multi-viewpoint Smartphone AR-based learning system (M-VSARLS for solar movement observations that can be used in the real-world environment. The goal of this research is to assess the usefulness of the system, usability of the AR function and 3D content, and the overall effect of the system on the learner’s motivation through task-based experiments with follow-up questionnaires. The results show that the M-VSARL system is effective in improving the observational skills and learning ability of learners, and in enhancing their motivation to learn about solar movement.

  14. Balancing the Assessment "of" Learning and "for" Learning in Support of Student Literacy Achievement

    Science.gov (United States)

    Edwards, Patricia A.; Turner, Jennifer D.; Mokhtari, Kouider

    2008-01-01

    There is a delicate balance between the assessment of learning and assessment for learning. The recommendations included in this Assessment department may be useful for teachers working to achieve this balance and find a more accurate and complete understandings of students' literacy strengths and needs.

  15. Recommender Systems for Learning

    CERN Document Server

    Manouselis, Nikos; Verbert, Katrien; Duval, Erik

    2013-01-01

    Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains.

  16. Application of learning from examples methods for on-line dynamic security assessment of electric power systems - state of the art

    Energy Technology Data Exchange (ETDEWEB)

    Pecas Lopes, J.A. [Universidade do Porto, Porto (Portugal). Faculdade de Engenharia] Hatziargyriou, Nikos D. [National Technical University of Athens, Athens (Greece)

    1994-12-31

    This paper provides an overview of the application of `learning from examples` techniques like pattern recognition, artificial neural networks and decision trees, when used for fast dynamic security assessment. Problems concerning the system security evaluation relatively to transient stability and voltage stability are addressed with more details and references to research works in this field are briefly described. (author) 44 refs., 3 tabs.

  17. Implementing Computer Algebra Enabled Questions for the Assessment and Learning of Mathematics

    Science.gov (United States)

    Sangwin, Christopher J.; Naismith, Laura

    2008-01-01

    We present principles for the design of an online system to support computer algebra enabled questions for use within the teaching and learning of mathematics in higher education. The introduction of a computer algebra system (CAS) into a computer aided assessment (CAA) system affords sophisticated response processing of student provided answers.…

  18. Improving Open Access through Prior Learning Assessment

    Science.gov (United States)

    Yin, Shuangxu; Kawachi, Paul

    2013-01-01

    This paper explores and presents new data on how to improve open access in distance education through using prior learning assessments. Broadly there are three types of prior learning assessment (PLAR): Type-1 for prospective students to be allowed to register for a course; Type-2 for current students to avoid duplicating work-load to gain…

  19. Assessing orientations to learning to teach.

    Science.gov (United States)

    Oosterheert, Ida E; Vermunt, Jan D; Denessen, E

    2002-03-01

    An important purpose of teacher education is that student teachers develop and change their existing knowledge on learning and teaching. Research on how student teachers variously engage in this process is scarce. In a previous study of 30 student teachers, we identified five different orientations to learning to teach. Our aim was to extend the results of the previous study by developing an instrument to assess orientations to learning to teach at a larger scale. The development and psychometric properties of the instrument are discussed. The results with respect to how student teachers learn are compared to the results of the qualitative study. Participants in this study were 169 secondary student teachers from three institutes which had all adopted an initial in-service model of learning to teach. On the basis of extensive qualitative study, a questionnaire was developed to assess individual differences in learning to teach. Factor-, reliability-, and nonparametric scalability analyses were performed to identify reliable scales. Cluster analysis was used to identify groups of students with similar orientations to learning to teach. Eight scales covering cognitive, regulative and affective aspects of student teachers' learning were identified. Cluster analysis indicates that the instrument discriminates well between student teachers. Four of the five previously found patterns were found again. The four orientations found in relatively uniform learning environments indicate that student teachers need differential support in their learning. Although the instrument measures individual differences in a reliable way, it is somewhat one-sided in the sense that items representing constructive ways of learning dominate. New items forming a broader range of scales should be created.

  20. A computer-aided continuous assessment system

    Directory of Open Access Journals (Sweden)

    B. C.H. Turton

    1996-12-01

    Full Text Available Universities within the United Kingdom have had to cope with a massive expansion in undergraduate student numbers over the last five years (Committee of Scottish University Principals, 1993; CVCP Briefing Note, 1994. In addition, there has been a move towards modularization and a closer monitoring of a student's progress throughout the year. Since the price/performance ratio of computer systems has continued to improve, Computer- Assisted Learning (CAL has become an attractive option. (Fry, 1990; Benford et al, 1994; Laurillard et al, 1994. To this end, the Universities Funding Council (UFQ has funded the Teaching and Learning Technology Programme (TLTP. However universities also have a duty to assess as well as to teach. This paper describes a Computer-Aided Assessment (CAA system capable of assisting in grading students and providing feedback. In this particular case, a continuously assessed course (Low-Level Languages of over 100 students is considered. Typically, three man-days are required to mark one assessed piece of coursework from the students in this class. Any feedback on how the questions were dealt with by the student are of necessity brief. Most of the feedback is provided in a tutorial session that covers the pitfalls encountered by the majority of the students.

  1. Feedback authoring possibilities in web-based learning systems

    NARCIS (Netherlands)

    Vasilyeva, E.; De Bra, P.M.E.; Pechenizkiy, M.; Bonk, C.J.; et al., xx

    2008-01-01

    This paper surveys and analyses the feedback authoring possibilities in online assessment modules of the most popular Learning Management Systems (LMS) including Moodle, Sakai, and Blackboard. We consider the problem of authoring and support of tailored and personalized feedback and demonstrate how

  2. Assessing Student Learning About Climate Change With Earth System Place-Based Geospatial Data

    Science.gov (United States)

    Zalles, D. R.; Krumhansl, R. A.; Acker, J. G.; Manitakos, J.; Elston, A.

    2012-12-01

    Powerful web-based data sets about geospatially situated Earth system phenomena are now available for analysis by the general public, including for any teacher or set of students who have the requisite skills to partake in the analyses. Unfortunately there exist impediments to successful use of these data. Teachers and students may lack (1) readiness to use the software interfaces for querying and representing the data, (2) needed scientific practice skills such as interpreting geographic information system-based maps and time series plots, and (3) needed understandings of the fundamental scientific concepts to make sense of the data. Hence, to evaluate any program designed to engage students and teachers with these data resources, there need to be assessment strategies to check for understanding. Assessment becomes the key to identifying learning needs and intervening appropriately with additional task scaffolding or other forms of instructional support. The paper will describe contrasting assessment strategies being carried out in two climate change education projects funded by NASA and NSF. The NASA project, Data Enhanced Investigations for Climate Change Education (DICCE), brings data from NASA satellite missions to the classroom. A bank of DICCE assessment items is being developed to measure students' abilities to transfer their skills in analyzing data about their local region to other regions of the world. Teachers choose pre-post assessment items for variables of Earth system phenomena that they target in their instruction. The data vary depending on what courses the teachers are teaching. For example, Earth science teachers are likely to choose data about atmospheric phenomena and biology teachers are more likely to choose land cover data. The NSF project, Studying Topography, Orographic Rainfall, and Ecosystems with Geospatial Information Technology (STORE), provides to teachers recent climatological and vegetation data about "study areas" in Central

  3. Greek Young Adults with Specific Learning Disabilities Seeking Learning Assessments

    Science.gov (United States)

    Bonti, Eleni; Bampalou, Christina E.; Kouimtzi, Eleni M.; Kyritsis, Zacharias

    2018-01-01

    The purpose of this study is to investigate the reasons why Greek young adults with Specific Learning Disabilities (SLD) seek learning assessments. The study sample consisted of 106 adults meeting Diagnostic and Statistical Manual of Mental Disorders criteria for SLD. Data were collected through self-report records (clinical interview) of adults…

  4. Assessment for Learning Tasks and the Peer Assessment Process

    Science.gov (United States)

    Lauf, Lorraine; Dole, Shelley

    2010-01-01

    A program of Assessment for Learning (AfL) was implemented with 107 Year 12 students as part of their preparation for a major external test. Students completed extended mathematics tasks and selected student responses were used for peer assessment purposes. This paper reports on two of the AfL elements, namely task selection and peer assessment as…

  5. Constructing a Grounded Theory of E-Learning Assessment

    Science.gov (United States)

    Alonso-Díaz, Laura; Yuste-Tosina, Rocío

    2015-01-01

    This study traces the development of a grounded theory of assessment in e-learning environments, a field in need of research to establish the parameters of an assessment that is both reliable and worthy of higher learning accreditation. Using grounded theory as a research method, we studied an e-assessment model that does not require physical…

  6. Assessing Approaches to Learning in School Readiness

    Directory of Open Access Journals (Sweden)

    Otilia C. Barbu

    2015-07-01

    Full Text Available This study examines the psychometric properties of two assessments of children’s approaches to learning: the Devereux Early Childhood Assessment (DECA and a 13-item approaches to learning rating scale (AtL derived from the Arizona Early Learning Standards (AELS. First, we administered questionnaires to 1,145 randomly selected parents/guardians of first-time kindergarteners. Second, we employed confirmatory factor analysis (CFA with parceling for DECA to reduce errors due to item specificity and prevent convergence difficulties when simultaneously estimating DECA and AtL models. Results indicated an overlap of 55% to 72% variance between the domains of the two instruments and suggested that the new AtL instrument is an easily administered alternative to the DECA for measuring children’s approaches to learning. This is one of the first studies that investigated DECA’s approaches to learning dimension and explored the measurement properties of an instrument purposely derived from a state’s early learning guidelines.

  7. Expert Systems as a Mindtool To Facilitate Mental Model Learning.

    Science.gov (United States)

    Mason-Mason, Susan Dale; Tessmer, Martin A.

    2000-01-01

    This exploratory study investigated whether the process of constructing an expert system model promotes the formation of expert-like mental models. Discusses expert systems as mindtools, expert systems as learning tools, the assessment of mental models, results of pretests and posttests, and future research. (Contains 56 references.) (Author/LRW)

  8. Assessing Assessment Quality: Criteria for Quality Assurance in Design of (Peer) Assessment for Learning--A Review of Research Studies

    Science.gov (United States)

    Tillema, Harm; Leenknecht, Martijn; Segers, Mien

    2011-01-01

    The interest in "assessment for learning" (AfL) has resulted in a search for new modes of assessment that are better aligned to students' learning how to learn. However, with the introduction of new assessment tools, also questions arose with respect to the quality of its measurement. On the one hand, the appropriateness of traditional,…

  9. Formative assessment : Enriching teaching and learning with formative assesment

    NARCIS (Netherlands)

    van Diggelen, M.R.; Morgan, C.M.; Funk, M.; Bruns, M.

    2016-01-01

    Formative assessment is a valuable aspect in teaching and learning, and is proven to be an e ective learning method. There is evidence that adding formative assessment to your teaching increases students’ learning results (Black and William, 1998), but in practice many of the possibilities are left

  10. The Effect of Learning Based on Technology Model and Assessment Technique toward Thermodynamic Learning Achievement

    Science.gov (United States)

    Makahinda, T.

    2018-02-01

    The purpose of this research is to find out the effect of learning model based on technology and assessment technique toward thermodynamic achievement by controlling students intelligence. This research is an experimental research. The sample is taken through cluster random sampling with the total respondent of 80 students. The result of the research shows that the result of learning of thermodynamics of students who taught the learning model of environmental utilization is higher than the learning result of student thermodynamics taught by simulation animation, after controlling student intelligence. There is influence of student interaction, and the subject between models of technology-based learning with assessment technique to student learning result of Thermodynamics, after controlling student intelligence. Based on the finding in the lecture then should be used a thermodynamic model of the learning environment with the use of project assessment technique.

  11. Teachers' Use of Learning Progression-Based Formative Assessment in Water Instruction

    Science.gov (United States)

    Covitt, Beth A.; Gunckel, Kristin L.; Caplan, Bess; Syswerda, Sara

    2018-01-01

    While learning progressions (LPs) hold promise as instructional tools, researchers are still in the early stages of understanding how teachers use LPs in formative assessment practices. We report on a study that assessed teachers' proficiency in using a LP for student ideas about hydrologic systems. Research questions were: (a) what were teachers'…

  12. Using Learning Analytics to Assess Student Learning in Online Courses

    Science.gov (United States)

    Martin, Florence; Ndoye, Abdou

    2016-01-01

    Learning analytics can be used to enhance student engagement and performance in online courses. Using learning analytics, instructors can collect and analyze data about students and improve the design and delivery of instruction to make it more meaningful for them. In this paper, the authors review different categories of online assessments and…

  13. Limitless Learning: Assessing Social Media Use for Global Workplace Learning

    Science.gov (United States)

    Breunig, Karl Joachim

    2016-01-01

    Purpose: This empirical paper aims to assess how social media can foster workplace learning within a globally dispersed project environment. In general, there are few studies on the use of social media in organizations, and many of these emphasize on issues related to knowledge transfer. Although learning traditionally has been as acquisition of…

  14. Modeling learning technology systems as business systems

    NARCIS (Netherlands)

    Avgeriou, Paris; Retalis, Symeon; Papaspyrou, Nikolaos

    2003-01-01

    The design of Learning Technology Systems, and the Software Systems that support them, is largely conducted on an intuitive, ad hoc basis, thus resulting in inefficient systems that defectively support the learning process. There is now justifiable, increasing effort in formalizing the engineering

  15. Semantic modeling of portfolio assessment in e-learning environment

    Directory of Open Access Journals (Sweden)

    Lucila Romero

    2017-01-01

    Full Text Available In learning environment, portfolio is used as a tool to keep track of learner’s progress. Particularly, when it comes to e-learning, continuous assessment allows greater customization and efficiency in learning process and prevents students lost interest in their study. Also, each student has his own characteristics and learning skills that must be taken into account in order to keep learner`s interest. So, personalized monitoring is the key to guarantee the success of technology-based education. In this context, portfolio assessment emerge as the solution because is an easy way to allow teacher organize and personalize assessment according to students characteristic and need. A portfolio assessment can contain various types of assessment like formative assessment, summative assessment, hetero or self-assessment and use different instruments like multiple choice questions, conceptual maps, and essay among others. So, a portfolio assessment represents a compilation of all assessments must be solved by a student in a course, it documents progress and set targets. In previous work, it has been proposed a conceptual framework that consist of an ontology network named AOnet which is a semantic tool conceptualizing different types of assessments. Continuing that work, this paper presents a proposal to implement portfolios assessment in e-learning environments. The proposal consists of a semantic model that describes key components and relations of this domain to set the bases to develop a tool to generate, manage and perform portfolios assessment.

  16. Designing Assessment for Autonomous Learning

    Science.gov (United States)

    Hay, Marie; Mathers, Lucy

    2012-01-01

    This paper aims to disseminate and evaluate an autonomous learning framework developed through collaborative research with first- and second-year undergraduate students at De Montfort University. Central to the framework is the involvement of students in the assessment of their peers and themselves using dialogue about the assessment and feedback…

  17. Surveying Assessment in Experiential Learning: A Single Campus Study

    Directory of Open Access Journals (Sweden)

    Thomas Yates

    2015-12-01

    Full Text Available The purpose of this study was to determine the methods of experiential assessment in use at a Canadian university and the extent to which they are used. Exploring experiential assessment will allow identification of commonly used methods and facilitate the development of best practices of assessment in the context of experiential learning (EL at an institutional level. The origins of EL are found in the work of Dewey (1938, later modified by Kolb and Fry (1975. Experiential methods include: experiential education, service learning problem-based learning and others such as action learning, enquiry-based learning, and case studies. Faculty currently involved in EL at the participating university were invited to complete an online survey about their teaching and assessment methods. This paper will share the results and analysis of the EL inventory survey.

  18. Denmark's Master of Public Governance Program: Assessment and Lessons Learned

    Science.gov (United States)

    Greve, Carsten; Pedersen, Anne Reff

    2017-01-01

    This paper focuses on Denmark's Master of Public Governance and its assessments and lessons learned. Denmark is seen to have an efficient economy and public sector, a digitalized public service delivery system, and an advanced work-life balance. The Danish government invested substantial resources into developing a Master of Public Governance…

  19. Self-Assessment in the REAP Tutor: Knowledge, Interest, Motivation, & Learning

    Science.gov (United States)

    Dela Rosa, Kevin; Eskenazi, Maxine

    2013-01-01

    Self-assessment questionnaires have long been used in tutoring systems to help researchers measure and evaluate various aspects of a student's performance during learning activities. In this paper, we chronicle the efforts made in the REAP project, a language tutor developed to teach vocabulary to ESL students through reading activities, to…

  20. Assessment of prior learning in vocational education and training

    DEFF Research Database (Denmark)

    Wahlgren, Bjarne; Aarkrog, Vibe

    ’ knowledge, skills and competences during the students’ performances and the methods that the teachers apply in order to assess the students’ prior learning in relation to the regulations of the current VET-program. In particular the study focuses on how to assess not only the students’ explicated knowledge......The article deals about the results of a study of the assessment of prior learning among adult workers who want to obtain formal qualifications as skilled workers. The study contributes to developing methods for assessing prior learning including both the teachers’ ways of eliciting the students...... and skills but also their competences, i.e. the way the students use their skills and knowledge to perform in practice. Based on a description of the assessment procedures the article discusses central issues in relation to the assessment of prior learning. The empirical data have been obtained in the VET...

  1. Rethinking Rwandan higher education assessment system and ...

    African Journals Online (AJOL)

    Annestar

    their assessment practices serve, and to understand the intended and unintended effects assessments can have on students' learning. This paper .... Assessment for. Learning. Information for students' future learning and teachers' instructional decisions. External standards or expectations. Teacher, student. Assessment as.

  2. Personalised Learning Object System Based on Self-Regulated Learning Theories

    Directory of Open Access Journals (Sweden)

    Ali Alharbi

    2014-06-01

    Full Text Available Self-regulated learning has become an important construct in education research in the last few years. Selfregulated learning in its simple form is the learner’s ability to monitor and control the learning process. There is increasing research in the literature on how to support students become more self-regulated learners. However, the advancement in the information technology has led to paradigm changes in the design and development of educational content. The concept of learning object instructional technology has emerged as a result of this shift in educational technology paradigms. This paper presents the results of a study that investigated the potential educational effectiveness of a pedagogical framework based on the self-regulated learning theories to support the design of learning object systems to help computer science students. A prototype learning object system was developed based on the contemporary research on self-regulated learning. The system was educationally evaluated in a quasi-experimental study over two semesters in a core programming languages concepts course. The evaluation revealed that a learning object system that takes into consideration contemporary research on self-regulated learning can be an effective learning environment to support computer science education.

  3. Assessment of learning powered mobility use--applying grounded theory to occupational performance.

    Science.gov (United States)

    Nilsson, Lisbeth; Durkin, Josephine

    2014-01-01

    Collaboration by two grounded theory researchers, who each had developed a learning continuum instrument, led to the emergence of a new tool for assessment of learning powered mobility use. We undertook a rigorous process of comparative reanalysis that included merging, modifying, and expanding our previous research findings. A new instrument together with its facilitating strategies emerged in the course of revisits to our existing rich account of data taken from real environment powered mobility practice over an extensive time period. Instrument descriptors, categories, phases, and stages allow a facilitator to assess actual phase and plot actual occupational performance and provide a learner with the just right challenge through the learning process. Facilitating strategies are described for each of the phases and provide directions for involvement during learner performance. The learning approach is led by a belief system that the intervention is user-led, working in partnership and empowering the learner. The new assessment tool is inclusive of every potential powered mobility user because it focuses on the whole continuum of the learning process of powered mobility use from novice to expert. The new tool was appraised by clinicians and has been used successfully in clinical practice in the United Kingdom and Sweden.

  4. Threat driven modeling framework using petri nets for e-learning system.

    Science.gov (United States)

    Khamparia, Aditya; Pandey, Babita

    2016-01-01

    Vulnerabilities at various levels are main cause of security risks in e-learning system. This paper presents a modified threat driven modeling framework, to identify the threats after risk assessment which requires mitigation and how to mitigate those threats. To model those threat mitigations aspects oriented stochastic petri nets are used. This paper included security metrics based on vulnerabilities present in e-learning system. The Common Vulnerability Scoring System designed to provide a normalized method for rating vulnerabilities which will be used as basis in metric definitions and calculations. A case study has been also proposed which shows the need and feasibility of using aspect oriented stochastic petri net models for threat modeling which improves reliability, consistency and robustness of the e-learning system.

  5. Advanced Level Biology Teachers' Attitudes towards Assessment and Their Engagement in Assessment for Learning

    Science.gov (United States)

    Bramwell-Lalor, Sharon; Rainford, Marcia

    2015-01-01

    This paper reports on a Mixed Methods study involving an investigation into the attitudes of advanced level biology teachers towards assessment and describes the teachers' experiences while being engaged in Assessment for Learning (AfL) practices such as sharing of learning objectives and peer- and self-assessment. Quantitative data were collected…

  6. What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated.

    Science.gov (United States)

    Kumaran, Dharshan; Hassabis, Demis; McClelland, James L

    2016-07-01

    We update complementary learning systems (CLS) theory, which holds that intelligent agents must possess two learning systems, instantiated in mammalians in neocortex and hippocampus. The first gradually acquires structured knowledge representations while the second quickly learns the specifics of individual experiences. We broaden the role of replay of hippocampal memories in the theory, noting that replay allows goal-dependent weighting of experience statistics. We also address recent challenges to the theory and extend it by showing that recurrent activation of hippocampal traces can support some forms of generalization and that neocortical learning can be rapid for information that is consistent with known structure. Finally, we note the relevance of the theory to the design of artificial intelligent agents, highlighting connections between neuroscience and machine learning. Copyright © 2016 Elsevier Ltd. All rights reserved.

  7. The effects of neurologic assessment E-learning in nurses.

    Science.gov (United States)

    Shin, Ji Yeon; Issenberg, S Barry; Roh, Young Sook

    2017-10-01

    A firm understanding of the preliminary assessment of a patient with neurological disorders is needed for ensuring optimal patient outcomes. The purpose of this study is to evaluate the effects of using e-learning on neurologic assessment knowledge, ability, and self-confidence among nurses. This study used a non-equivalent control group pretest-posttest design. Nurses working in the neurology and neurosurgery wards, Republic of Korea PARTICIPANTS: A convenience sample of 50 nurses was assigned to either the experimental group (n=24) or the control group (n=26). The experimental group participated in the self-directed e-learning program related to neurologic assessment, and control group underwent self-directed learning with handout. Knowledge, ability, and self-confidence were measured at pretest and posttest. There were no significant differences in knowledge (U=270, p=0.399) and self-confidence (U=241.5, p=0.171) between the two groups. Nurses in the experimental group showed higher neurologic assessment ability compared with those in the control group (U=199, p=0.028). Self-directed neurologic assessment e-learning induced improvement in the neurologic assessment ability among nurses. Self-directed e-learning can be applied for improving competencies in neurologic assessment. Copyright © 2017 Elsevier Ltd. All rights reserved.

  8. Statistical assessment of the learning curves of health technologies.

    Science.gov (United States)

    Ramsay, C R; Grant, A M; Wallace, S A; Garthwaite, P H; Monk, A F; Russell, I T

    2001-01-01

    (1) To describe systematically studies that directly assessed the learning curve effect of health technologies. (2) Systematically to identify 'novel' statistical techniques applied to learning curve data in other fields, such as psychology and manufacturing. (3) To test these statistical techniques in data sets from studies of varying designs to assess health technologies in which learning curve effects are known to exist. METHODS - STUDY SELECTION (HEALTH TECHNOLOGY ASSESSMENT LITERATURE REVIEW): For a study to be included, it had to include a formal analysis of the learning curve of a health technology using a graphical, tabular or statistical technique. METHODS - STUDY SELECTION (NON-HEALTH TECHNOLOGY ASSESSMENT LITERATURE SEARCH): For a study to be included, it had to include a formal assessment of a learning curve using a statistical technique that had not been identified in the previous search. METHODS - DATA SOURCES: Six clinical and 16 non-clinical biomedical databases were searched. A limited amount of handsearching and scanning of reference lists was also undertaken. METHODS - DATA EXTRACTION (HEALTH TECHNOLOGY ASSESSMENT LITERATURE REVIEW): A number of study characteristics were abstracted from the papers such as study design, study size, number of operators and the statistical method used. METHODS - DATA EXTRACTION (NON-HEALTH TECHNOLOGY ASSESSMENT LITERATURE SEARCH): The new statistical techniques identified were categorised into four subgroups of increasing complexity: exploratory data analysis; simple series data analysis; complex data structure analysis, generic techniques. METHODS - TESTING OF STATISTICAL METHODS: Some of the statistical methods identified in the systematic searches for single (simple) operator series data and for multiple (complex) operator series data were illustrated and explored using three data sets. The first was a case series of 190 consecutive laparoscopic fundoplication procedures performed by a single surgeon; the second

  9. [Advantages and Application Prospects of Deep Learning in Image Recognition and Bone Age Assessment].

    Science.gov (United States)

    Hu, T H; Wan, L; Liu, T A; Wang, M W; Chen, T; Wang, Y H

    2017-12-01

    Deep learning and neural network models have been new research directions and hot issues in the fields of machine learning and artificial intelligence in recent years. Deep learning has made a breakthrough in the applications of image and speech recognitions, and also has been extensively used in the fields of face recognition and information retrieval because of its special superiority. Bone X-ray images express different variations in black-white-gray gradations, which have image features of black and white contrasts and level differences. Based on these advantages of deep learning in image recognition, we combine it with the research of bone age assessment to provide basic datum for constructing a forensic automatic system of bone age assessment. This paper reviews the basic concept and network architectures of deep learning, and describes its recent research progress on image recognition in different research fields at home and abroad, and explores its advantages and application prospects in bone age assessment. Copyright© by the Editorial Department of Journal of Forensic Medicine.

  10. Computerized Hammer Sounding Interpretation for Concrete Assessment with Online Machine Learning.

    Science.gov (United States)

    Ye, Jiaxing; Kobayashi, Takumi; Iwata, Masaya; Tsuda, Hiroshi; Murakawa, Masahiro

    2018-03-09

    Developing efficient Artificial Intelligence (AI)-enabled systems to substitute the human role in non-destructive testing is an emerging topic of considerable interest. In this study, we propose a novel hammering response analysis system using online machine learning, which aims at achieving near-human performance in assessment of concrete structures. Current computerized hammer sounding systems commonly employ lab-scale data to validate the models. In practice, however, the response signal patterns can be far more complicated due to varying geometric shapes and materials of structures. To deal with a large variety of unseen data, we propose a sequential treatment for response characterization. More specifically, the proposed system can adaptively update itself to approach human performance in hammering sounding data interpretation. To this end, a two-stage framework has been introduced, including feature extraction and the model updating scheme. Various state-of-the-art online learning algorithms have been reviewed and evaluated for the task. To conduct experimental validation, we collected 10,940 response instances from multiple inspection sites; each sample was annotated by human experts with healthy/defective condition labels. The results demonstrated that the proposed scheme achieved favorable assessment accuracy with high efficiency and low computation load.

  11. Critical Points in Distance Learning System

    Directory of Open Access Journals (Sweden)

    Airina Savickaitė

    2013-08-01

    Full Text Available Purpose – This article presents the results of distance learning system analysis, i.e. the critical elements of the distance learning system. The critical points of distance learning are a part of distance education online environment interactivity/community process model. The most important is the fact that the critical point is associated with distance learning participants. Design/methodology/approach – Comparative review of articles and analysis of distance learning module. Findings – A modern man is a lifelong learner and distance learning is a way to be a modern person. The focus on a learner and feedback is the most important thing of learning distance system. Also, attention should be paid to the lecture-appropriate knowledge and ability to convey information. Distance system adaptation is the way to improve the learner’s learning outcomes. Research limitations/implications – Different learning disciplines and learning methods may have different critical points. Practical implications – The information of analysis could be important for both lecturers and students, who studies distance education systems. There are familiar critical points which may deteriorate the quality of learning. Originality/value – The study sought to develop remote systems for applications in order to improve the quality of knowledge. Keywords: distance learning, process model, critical points. Research type: review of literature and general overview.

  12. Using concept similarity in cross ontology for adaptive e-Learning systems

    Directory of Open Access Journals (Sweden)

    B. Saleena

    2015-01-01

    Full Text Available e-Learning is one of the most preferred media of learning by the learners. The learners search the web to gather knowledge about a particular topic from the information in the repositories. Retrieval of relevant materials from a domain can be easily implemented if the information is organized and related in some way. Ontologies are a key concept that helps us to relate information for providing the more relevant lessons to the learner. This paper proposes an adaptive e-Learning system, which generates a user specific e-Learning content by comparing the concepts with more than one system using similarity measures. A cross ontology measure is defined, which consists of fuzzy domain ontology as the primary ontology and the domain expert’s ontology as the secondary ontology, for the comparison process. A personalized document is provided to the user with a user profile, which includes the data obtained from the processing of the proposed method under a User score, which is obtained through the user evaluation. The results of the proposed e-Learning system under the designed cross ontology similarity measure show a significant increase in performance and accuracy under different conditions. The assessment of the comparative analysis, showed the difference in performance of our proposed method over other methods. Based on the assessment results it is proved that the proposed approach is effective over other methods.

  13. Technical Evaluation Report 30: Vendor-Assisted Evaluation of a Learning Management System

    Directory of Open Access Journals (Sweden)

    Adrienne De Schutter

    2004-04-01

    Full Text Available A product evaluation was conducted of Desire2Learn, an online learning management system gaining popularity in educational institutions. Since an online trial version of the software was not available for evaluation, an inspection meeting with the vendor was arranged. This provided the evaluation team with an opportunity to examine the precautions necessary for ensuring the objectivity of a product evaluation based on vendor-supplied information. The report outlines the team’s use of evaluator-driven enquiry and a triangulated approach to information checking. The Desire2Learn product is assessed as a flexible and useful addition to the range of learning management system options.

  14. Moving interprofessional learning forward through formal assessment.

    Science.gov (United States)

    Stone, Judy

    2010-04-01

    There is increasing agreement that graduates who finish tertiary education with the full complement of skills and knowledge required for their designated profession are not 'work-ready' unless they also acquire interpersonal, collaborative practice and team-working capabilities. Health workers are unable to contribute to organisational culture in a positive way unless they too attain these capabilities. These capabilities have been shown to improve health care in terms of patient safety, worker satisfaction and health service efficiency. Given the importance of interprofessional learning (IPL) which seeks to address these capabilities, why is IPL not consistently embedded into the education of undergraduates, postgraduates and vocationally qualified personnel through formal assessment? This paper offers an argument for the formal assessment of IPL. It illustrates how the interests of the many stakeholders in IPL can benefit from, and contribute to, the integration of IPL into mainstream professional development and tertiary education. It offers practical examples of assessment in IPL which could drive learning and offer authentic, contextual teaching and learning experiences to undergraduates and health workers alike. Assessment drives learning and without formal assessment IPL will continue to be viewed as an optional topic of little relative importance for learners. In order to make the next step forward, IPL needs to be recognised and endorsed through formal assessment, both at the tertiary education level and within the workplace environment. This is supported by workforce initiatives and tertiary education policy which can be used to specify the capabilities or generic skills necessary for effective teamwork and collaborative practice.

  15. On the Use of Extended TAM to Assess Students' Acceptance and Intent to Use Third-Generation Learning Management Systems

    Science.gov (United States)

    Ros, Salvador; Hernández, Roberto; Caminero, Agustín; Robles, Antonio; Barbero, Isabel; Maciá, Araceli; Holgado, Francisco Pablo

    2015-01-01

    Service-oriented e-learning platforms can be considered as a third generation of learning management systems (LMSs). As opposed to the previous generations, consisting of ad hoc solutions and traditional LMS, this new technology contemplates e-learning systems as services that can be integrated into different learning scenarios. This paper shows…

  16. Analysis of Student Service-Learning Reflections for the Assessment of Transferable-Skills Development

    Science.gov (United States)

    Rizzo, D. M.; Dewoolkar, M.; Hayden, N.; Oka, L.; Pearce, A. R.

    2010-12-01

    The civil and environmental engineering (CEE) programs at the University of Vermont (UVM) incorporate systems thinking and a systems approach to sustainable engineering problem solving. A systems approach considers long-term social, environmental and economic factors within the context of the engineering problem solution and encompasses sustainable engineering solutions. Our goal is to prepare students to become leaders in their chosen field who can anticipate co-products associated with forecasted solutions. As a way of practicing the systems approach, we include service-learning projects in many of our undergraduate engineering courses, culminating with the senior capstone design course. We use a variety of formative and summative assessment methods to gage student understanding and attitudes including student surveys, focus groups, assessment of student projects, and student reflections. Student reflections from two courses -Modeling Environmental and Transportation Systems (31 juniors) and Senior Design Project (30 seniors) are compared. Of these, 25 students were common to both courses. The focus of the systems modeling service-learning project involved mentoring home-schooled children (11-14 yrs old) to solve problems of mobility, using the fun and inspiration of biomimicry. Students were required to invent innovative methods to move people or goods that improve associated constraints (i.e., minimize congestion, reduce pollution, increase safety), or reduce the need for transportation altogether. The capstone design project required a comprehensive engineering design involving two or more CEE sub-disciplines. Both service-learning projects were intended to enhance students’ academic learning experience, attain civic engagement and reinforce transferable skills (written and oral communication, teamwork, leadership and mentoring skills). The student course reflections were not guided; yet they provided valuable data to assess commonalities and differences in

  17. Enhancing students' learning in problem based learning: validation of a self-assessment scale for active learning and critical thinking.

    Science.gov (United States)

    Khoiriyah, Umatul; Roberts, Chris; Jorm, Christine; Van der Vleuten, C P M

    2015-08-26

    Problem based learning (PBL) is a powerful learning activity but fidelity to intended models may slip and student engagement wane, negatively impacting learning processes, and outcomes. One potential solution to solve this degradation is by encouraging self-assessment in the PBL tutorial. Self-assessment is a central component of the self-regulation of student learning behaviours. There are few measures to investigate self-assessment relevant to PBL processes. We developed a Self-assessment Scale on Active Learning and Critical Thinking (SSACT) to address this gap. We wished to demonstrated evidence of its validity in the context of PBL by exploring its internal structure. We used a mixed methods approach to scale development. We developed scale items from a qualitative investigation, literature review, and consideration of previous existing tools used for study of the PBL process. Expert review panels evaluated its content; a process of validation subsequently reduced the pool of items. We used structural equation modelling to undertake a confirmatory factor analysis (CFA) of the SSACT and coefficient alpha. The 14 item SSACT consisted of two domains "active learning" and "critical thinking." The factorial validity of SSACT was evidenced by all items loading significantly on their expected factors, a good model fit for the data, and good stability across two independent samples. Each subscale had good internal reliability (>0.8) and strongly correlated with each other. The SSACT has sufficient evidence of its validity to support its use in the PBL process to encourage students to self-assess. The implementation of the SSACT may assist students to improve the quality of their learning in achieving PBL goals such as critical thinking and self-directed learning.

  18. Assessing College-Level Learning Difficulties and "At Riskness" for Learning Disabilities and ADHD: Development and Validation of the Learning Difficulties Assessment

    Science.gov (United States)

    Kane, Steven T.; Walker, John H.; Schmidt, George R.

    2011-01-01

    This article describes the development and validation of the "Learning Difficulties Assessment" (LDA), a normed and web-based survey that assesses perceived difficulties with reading, writing, spelling, mathematics, listening, concentration, memory, organizational skills, sense of control, and anxiety in college students. The LDA is designed to…

  19. Haptic Paddle Enhancements and a Formal Assessment of Student Learning in System Dynamics

    Science.gov (United States)

    Gorlewicz, Jenna L.; Kratchman, Louis B.; Webster, Robert J., III

    2014-01-01

    The haptic paddle is a force-feedback joystick used at several universities in teaching System Dynamics, a core mechanical engineering undergraduate course where students learn to model dynamic systems in several domains. A second goal of the haptic paddle is to increase the accessibility of robotics and haptics by providing a low-cost device for…

  20. Architecture and Design Process of the Individualized Assessment System Integrable to Distance Education Softwares

    Science.gov (United States)

    Ozyurt, Hacer; Ozyurt, Ozcan; Baki, Adnan

    2012-01-01

    Assessment is one of the methods used for evaluation of the learning outputs. Nowadays, use of adaptive assessment systems estimating ability level and abilities of the students is becoming widespread instead of traditional assessment systems. Adaptive assessment system evaluates students not only according to their marks that they take in test…

  1. Using Knowledge-Based Systems to Support Learning of Organizational Knowledge: A Case Study

    Science.gov (United States)

    Cooper, Lynne P.; Nash, Rebecca L.; Phan, Tu-Anh T.; Bailey, Teresa R.

    2003-01-01

    This paper describes the deployment of a knowledge system to support learning of organizational knowledge at the Jet Propulsion Laboratory (JPL), a US national research laboratory whose mission is planetary exploration and to 'do what no one has done before.' Data collected over 19 weeks of operation were used to assess system performance with respect to design considerations, participation, effectiveness of communication mechanisms, and individual-based learning. These results are discussed in the context of organizational learning research and implications for practice.

  2. E-learning enables parents to assess an infantile hemangioma.

    Science.gov (United States)

    de Graaf, Marlies; Knol, Mirjam J; Totté, Joan E E; van Os-Medendorp, Harmieke; Breugem, Corstiaan C; Pasmans, Suzanne G M A

    2014-05-01

    Infantile hemangiomas (IH) at risk for complications need to be recognized early. We sought to determine if parents are able to assess, after e-learning, whether their child has an IH, is at risk for complications, and needs to be seen (urgently) by a specialist. This was a prospective study of 158 parents participating in an IH e-learning module. Parents were asked to assess their child's skin abnormality. A dermatologist answered the same questions (by e-consult). The 2 assessments were compared. Parents showed a 96% concordance with the dermatologist for correct diagnosis after e-learning. Concordances were 79%, 75%, and 84% (P e-learning module. E-learning by parents could result in earlier presentation and treatment of high-risk IH. Copyright © 2014 American Academy of Dermatology, Inc. Published by Mosby, Inc. All rights reserved.

  3. FORMATIVE ASSESSMENT IN DISTANCE EDUCATION: ENHANCING LEARNING THROUGH DIARIES

    Directory of Open Access Journals (Sweden)

    Christiane Heemann

    2015-12-01

    Full Text Available Assessment integrates the teaching and learning process and always has room for discussion in educational processes, requiring technical preparation and observation capacity from those involved. According to Perrenoud (2014, assessment for learning is a mediator in the process of curriculum construction and is closely related to the management of learning by the students. Assessment methods occupy a very important space in the pedagogical practices since assessment cannot be an act that expresses only a quantitative and formal concept. In Distance Education (DE, formative assessment also needs to be prioritized and avoid traditional evaluation which is performed through multiple-choice tests with self-correction. The use of diaries in Distance Education maintains the focus on the evaluation process and not only on the product, configuring itself as a permanent orientation of learning, both for the teacher and for the student, who jointly assume reciprocal commitments. This article presents an experiment conducted with diaries on an undergraduate course offered by Universidade Aberta do Brasil (UAB as a means of formative assessment in Distance Education.

  4. Formative assessment in an online learning environment to support flexible on-the-job learning in complex professional domains

    NARCIS (Netherlands)

    Tamara van Gog; Desirée Joosten-ten Brinke; F. J. Prins; Dominique Sluijsmans

    2010-01-01

    This article describes a blueprint for an online learning environment that is based on prominent instructional design and assessment theories for supporting learning in complex domains. The core of this environment consists of formative assessment tasks (i.e., assessment for learning) that center on

  5. Web-Based Learning Support System

    Science.gov (United States)

    Fan, Lisa

    Web-based learning support system offers many benefits over traditional learning environments and has become very popular. The Web is a powerful environment for distributing information and delivering knowledge to an increasingly wide and diverse audience. Typical Web-based learning environments, such as Web-CT, Blackboard, include course content delivery tools, quiz modules, grade reporting systems, assignment submission components, etc. They are powerful integrated learning management systems (LMS) that support a number of activities performed by teachers and students during the learning process [1]. However, students who study a course on the Internet tend to be more heterogeneously distributed than those found in a traditional classroom situation. In order to achieve optimal efficiency in a learning process, an individual learner needs his or her own personalized assistance. For a web-based open and dynamic learning environment, personalized support for learners becomes more important. This chapter demonstrates how to realize personalized learning support in dynamic and heterogeneous learning environments by utilizing Adaptive Web technologies. It focuses on course personalization in terms of contents and teaching materials that is according to each student's needs and capabilities. An example of using Rough Set to analyze student personal information to assist students with effective learning and predict student performance is presented.

  6. Learning assessment for students with mental and behavioral disorders

    DEFF Research Database (Denmark)

    Dræby, Anders

    The session aims at presenting a learning-based model for how to conduct a comprehensive psychological evaluation of the learning resources and challenges amongst students with mental and behavioral disorders. In the learning assessment model the learning resources and challenges of the students...

  7. An Argument for Formative Assessment with Science Learning Progressions

    Science.gov (United States)

    Alonzo, Alicia C.

    2018-01-01

    Learning progressions--particularly as defined and operationalized in science education--have significant potential to inform teachers' formative assessment practices. In this overview article, I lay out an argument for this potential, starting from definitions for "formative assessment practices" and "learning progressions"…

  8. Perceptual-motor skill learning in Gilles de la Tourette syndrome. Evidence for multiple procedural learning and memory systems.

    Science.gov (United States)

    Marsh, Rachel; Alexander, Gerianne M; Packard, Mark G; Zhu, Hongtu; Peterson, Bradley S

    2005-01-01

    Procedural learning and memory systems likely comprise several skills that are differentially affected by various illnesses of the central nervous system, suggesting their relative functional independence and reliance on differing neural circuits. Gilles de la Tourette syndrome (GTS) is a movement disorder that involves disturbances in the structure and function of the striatum and related circuitry. Recent studies suggest that patients with GTS are impaired in performance of a probabilistic classification task that putatively involves the acquisition of stimulus-response (S-R)-based habits. Assessing the learning of perceptual-motor skills and probabilistic classification in the same samples of GTS and healthy control subjects may help to determine whether these various forms of procedural (habit) learning rely on the same or differing neuroanatomical substrates and whether those substrates are differentially affected in persons with GTS. Therefore, we assessed perceptual-motor skill learning using the pursuit-rotor and mirror tracing tasks in 50 patients with GTS and 55 control subjects who had previously been compared at learning a task of probabilistic classifications. The GTS subjects did not differ from the control subjects in performance of either the pursuit rotor or mirror-tracing tasks, although they were significantly impaired in the acquisition of a probabilistic classification task. In addition, learning on the perceptual-motor tasks was not correlated with habit learning on the classification task in either the GTS or healthy control subjects. These findings suggest that the differing forms of procedural learning are dissociable both functionally and neuroanatomically. The specific deficits in the probabilistic classification form of habit learning in persons with GTS are likely to be a consequence of disturbances in specific corticostriatal circuits, but not the same circuits that subserve the perceptual-motor form of habit learning.

  9. A Two-Stage Multi-Agent Based Assessment Approach to Enhance Students' Learning Motivation through Negotiated Skills Assessment

    Science.gov (United States)

    Chadli, Abdelhafid; Bendella, Fatima; Tranvouez, Erwan

    2015-01-01

    In this paper we present an Agent-based evaluation approach in a context of Multi-agent simulation learning systems. Our evaluation model is based on a two stage assessment approach: (1) a Distributed skill evaluation combining agents and fuzzy sets theory; and (2) a Negotiation based evaluation of students' performance during a training…

  10. Do emergency medicine residents and faculty have similar learning styles when assessed with the Kolb learning style assessment tool?

    Science.gov (United States)

    Fredette, Jenna; O'Brien, Corinne; Poole, Christy; Nomura, Jason

    2015-04-01

    Experiential learning theory and the Kolb Learning Style Inventory (Kolb LSI) have influenced educators worldwide for decades. Knowledge of learning styles can create efficient learning environments, increase information retention, and improve learner satisfaction. Learning styles have been examined in medicine previously, but not specifically with Emergency Medicine (EM) residents and attendings. Using the Kolb LSI, the learning styles of Emergency Medicine residents and attendings were assessed. The findings showed that the majority of EM residents and attendings shared the accommodating learning style. This result was different than prior studies that found the majority of medical professionals had a converging learning style and other studies that found attendings often have different learning styles than residents. The issue of learning styles among emergency medical residents and attendings is important because learning style knowledge may have an impact on how a residency program structures curriculum and how EM residents are successfully, efficiently, and creatively educated.

  11. Sustainable assessment of learning experiences based on projects

    Directory of Open Access Journals (Sweden)

    Ignacio TRAVERSO RIBÓN

    2016-05-01

    Full Text Available In a project-based learning experience, the detailed monitoring of the activities in which team members participate can be useful to evaluate their work. Using learning-oriented assessment procedures, supervisors can assess the teamwork abilities with a formative purpose. Evaluation strategies such as self-assessment, peer assessment and co-assessment are often used to make evaluation formative and sustainable. Conducting an assessment strategy is not easy for team members, since they need before to have a reasonable understanding of the evaluation process and criteria. This paper describes a learning-oriented evaluation methodology and an open data framework that can be applied to collaborative project settings. An evaluation rubric and a series of indicators that provide evidences about the developed skills have been elaborated and applied in a small-scale project-based course. Projects were managed and developed with the help of an open source software forge that contains a ticketing tool for planning and tracking of tasks, a version control repository to save the software outcomes, and using a wiki to host text deliverables. The experience provides evidences in favor of using the assessment method and open data framework to make teamwork evaluation more sustainable.

  12. Assessing Learning Quality: Reconciling Institutional, Staff and Educational Demands.

    Science.gov (United States)

    Biggs, John

    1996-01-01

    Two frameworks for educational assessment distinguished, which is quantitative, adequate for construing some kinds of learning, and qualitative, which is more appropriate for most objectives in higher education. The paper argues that institutions implicitly encourage quantitative assessment, thus encouraging a surface approach to learning although…

  13. Tools for the Assessment of Learning

    Science.gov (United States)

    Pappas, Marjorie L.

    2007-01-01

    Assessment tools enable both learning and assessing. They also give library media specialists snapshots of evidence that demonstrates student understanding of the Information Literacy Standards. Over time the evidence provide a more complete picture of learners' ability to gather, evaluate, and use information to solve problems, make decisions,…

  14. Assessment of Emotion States During e-Learning

    NARCIS (Netherlands)

    Rothkrantz, L.J.M.; Datcu, D.

    2010-01-01

    In recent years many systems for distance learning have been developed. Even though students have access to learning material any time and any place, current tools for e-learning still have their limitations. The main shortcoming, compared to real life learning is the limited opportunity for human

  15. Using video games to combine learning and assessment in mathematics education

    OpenAIRE

    Kristian Juha Mikael Kiili; Keith Devlin; Arttu Perttula; Pauliina Tuomi; Antero Lindstedt

    2015-01-01

    One problem with most education systems is that learning and (summative) assessment are generally treated as quite separate things in schools. We argue that video games can provide an opportunity to combine these processes in an engaging and effective way. The present study focuses on investigating the effectiveness and the assessment power of two different mathematics video games, Semideus and Wuzzit Trouble. In the current study, we validated the Semideus game as a rational number test inst...

  16. Embedding of Authentic Assessment in Work-Integrated Learning Curriculum

    Science.gov (United States)

    Bosco, Anna Maria; Ferns, Sonia

    2014-01-01

    Contemporary perspectives of higher education endorse a work integrated learning (WIL) approach to curriculum content, delivery and assessment. It is agreed that authenticity in learning relates to real-world experience, however, differentiating and strategically linking WIL provision and facilitation to assessment tasks and collation of authentic…

  17. The Construction of an Online Competitive Game-Based Learning System for Junior High School Students

    Science.gov (United States)

    Cheng, Yuh-Ming; Kuo, Sheng-Huang; Lou, Shi-Jer; Shih, Ru-Chu

    2012-01-01

    The purpose of this study aimed to construct an online competitive game-based learning system by using freeware for junior high school students and to assess its effectiveness. From the learning standpoints, game mechanisms including learning points, competition mechanism, training room mechanism, questioning & answering mechanism, tips, and…

  18. Assessment of Programming Language Learning Based on Peer Code Review Model: Implementation and Experience Report

    Science.gov (United States)

    Wang, Yanqing; Li, Hang; Feng, Yuqiang; Jiang, Yu; Liu, Ying

    2012-01-01

    The traditional assessment approach, in which one single written examination counts toward a student's total score, no longer meets new demands of programming language education. Based on a peer code review process model, we developed an online assessment system called "EduPCR" and used a novel approach to assess the learning of computer…

  19. USE OF FACEBOOK FOR LEARNING AND ASSESSMENT IN GEOGRAPHY

    Directory of Open Access Journals (Sweden)

    MARIA ELIZA DULAMĂ

    2016-01-01

    Full Text Available In this research was analysed 120 twelfth grade students’ behaviour, of “Iulian Pop” Economic High School in Cluj-Napoca, Romania, regarding the use of the Facebook social network for learning and assessment in Geography. Students were organised in five discussion groups on the social network Facebook. To achieve the research objectives, we analysed students' answers at a questionnaire and the contents of the dialogue between teacher and students and also between students. Students perceived positively the learning and assessment activities and they perceived their teacher as their equal. At the cognitive level, the activity was focused on clarifying certain aspects, revision, knowledge learning and assessment. The disadvantages of the learning activity in the Facebook discussion group were that the posted materials cannot be classified and can be found with difficulty.

  20. Assessing students' readiness towards e-learning

    Science.gov (United States)

    Rahim, Nasrudin Md; Yusoff, Siti Hawa Mohd; Latif, Shahida Abd

    2014-07-01

    The usage of e-Learning methodology has become a new attraction for potential students as shown by some higher learning institutions in Malaysia. As such, Universiti Selangor (Unisel) should be ready to embark on e-Learning teaching and learning in the near future. The purpose of the study is to gauge the readiness of Unisel's students in e-Learning environment. A sample of 110 students was chosen to participate in this study which was conducted in January 2013. This sample consisted of students from various levels of study that are foundation, diploma and degree program. Using a structured questionnaire, respondents were assessed on their basic Internet skills, access to technology required for e-Learning and their attitude towards characteristics of successful e-Learning student based on study habits, abilities, motivation and time management behaviour. The result showed that respondents did have access to technology that are required for e-Learning environment, and respondents were knowledgeable regarding the basic Internet skills. The finding also showed that respondents' attitude did meet all characteristics of successful e-Learning student. Further analysis showed that there is no significant relationshipeither among gender, level of study or faculty with those characteristics. As a conclusion, the study shows that current Unisel's students are ready to participate in e-Learning environment if the institution decided to embark on e-Learning methodology.

  1. Making Intercultural Language Learning Visible and Assessable

    Science.gov (United States)

    Moloney, Robyn; Harbon, Lesley

    2010-01-01

    While languages education (Liddicoat, 2002) is being transformed by intercultural language learning theory, there is little illustration of either how students are achieving intercultural learning or how to assess it. This article reports on a study of high school language students in Sydney, Australia. Its findings make visible student…

  2. Innovative Assessment Paradigm to Enhance Student Learning in Engineering Education

    Science.gov (United States)

    El-Maaddawy, Tamer

    2017-01-01

    Incorporation of student self-assessment (SSA) in engineering education offers opportunities to support and encourage learner-led-learning. This paper presents an innovative assessment paradigm that integrates formative, summative, and SSA to enhance student learning. The assessment innovation was implemented in a senior-level civil engineering…

  3. E-learning and nursing assessment skills and knowledge - An integrative review.

    Science.gov (United States)

    McDonald, Ewan W; Boulton, Jessica L; Davis, Jacqueline L

    2018-07-01

    This review examines the current evidence on the effectiveness of digital technologies or e-based learning for enhancing the skills and knowledge of nursing students in nursing assessment. This integrative review identifies themes emerging from e-learning and 'nursing assessment' literature. Literature reviews have been undertaken in relation to digital learning and nursing education, including clinical skills, clinical case studies and the nurse-educator role. Whilst perceptions of digital learning are well covered, a gap in knowledge persists for understanding the effectiveness of e-learning on nursing assessment skills and knowledge. This is important as comprehensive assessment skills and knowledge are a key competency for newly qualified nurses. The MEDLINE, CINAHL, Cochrane Library and ProQuest Nursing and Allied Health Source electronic databases were searched for the period 2006 to 2016. Hand searching in bibliographies was also undertaken. Selection criteria for this review included: FINDINGS: Twenty articles met the selection criteria for this review, and five major themes for e-based learning were identified (a) students become self-evaluators; (b) blend and scaffold learning; (c) measurement of clinical reasoning; (d) mobile technology and Facebook are effective; and (e) training and preparation is vital. Although e-based learning programs provide a flexible teaching method, evidence suggests e-based learning alone does not exceed face-to-face patient simulation. This is particularly the case where nursing assessment learning is not scaffolded. This review demonstrates that e-based learning and traditional teaching methods used in conjunction with each other create a superior learning style. Copyright © 2018 Elsevier Ltd. All rights reserved.

  4. An Architecture for Interactive Target-Oriented e/m-Learning Systems

    Directory of Open Access Journals (Sweden)

    Cristina De Castro

    2009-12-01

    Full Text Available In this paper, an architecture is proposed for the development of an e/m-Learning system with the following features: (1 learning paths can be tailored to the user’s aims and, during the learning process, dynamically modified in order to meet his needs; (2 in context of m-Learning facilities, contents can be scaled and adapted to the user’s device and connection technology. As far as learning paths are concerned, each learner is allowed to specify his initial target and, if he decides to deepen some issues, is authorised to redefine such target over time. This process is guided by a “Path Decision Module” based on Petri Nets, which checks the user’s learning level and consequently decides whether further issues can be faced or not. As for access to the system, the following scenarios are considered: UMTS (e.g.: for PDAs, DSL (e.g.: at home, WiFi (e.g.: within study lounges and libraries, wired/fiber (e.g.: within laboratories. In order to satisfy such heterogeneous requirements, contents are dynamically adapted to available technologies by means of on the fly data format conversions. The whole system relies on a hybrid LDAP-SQL database, which benefits from the joint use of directory services and relational databases. LDAP is used for the storage of learning and assessment material, whereas dynamical paths are stored in the SQL system. Analytical calculations are also presented which show the access time in each scenario and, consequently, if a certain activity can be carried out or not efficiently.

  5. ENGINEERING OF UNIVERSITY INTELLIGENT LEARNING SYSTEMS

    Directory of Open Access Journals (Sweden)

    Vasiliy M. Trembach

    2016-01-01

    Full Text Available In the article issues of engineering intelligent tutoring systems of University with adaptation are considered. The article also dwells on some modern approaches to engineering of information systems. It shows the role of engineering e-learning devices (systems in system engineering. The article describes the basic principles of system engineering and these principles are expanded regarding to intelligent information systems. The structure of intelligent learning systems with adaptation of the individual learning environments based on services is represented in the article.

  6. Establishment of a Learning Management System

    International Nuclear Information System (INIS)

    Han, K. W.; Kim, Y. T.; Lee, E. J.; Min, B. J.

    2006-01-01

    A web-based learning management system (LMS) has been established to address the need of customized education and training of Nuclear Training Center (NTC) of KAERI. The LMS is designed to deal with various learning types (e.g. on-line, off-line and blended) and a practically comprehensive learning activity cycle (e.g. course preparation, registration, learning, and postlearning) as well as to be user-friendly. A test with an example course scenario on the established system has shown its satisfactory performance. This paper discusses details of the established webbased learning management system in terms of development approach and functions of the LMS

  7. Developing a Competency-Based Assessment Approach for Student Learning

    Science.gov (United States)

    Dunning, Pamela T.

    2014-01-01

    Higher education accrediting bodies are increasing the emphasis on assessing student learning outcomes as opposed to teaching methodology. The purpose of this article is to describe the process used by Troy University's Master of Public Administration program to change their assessment approach from a course learning objective perspective to a…

  8. Transformative Learning: Patterns of Psychophysiologic Response and Technology-Enabled Learning and Intervention Systems

    Science.gov (United States)

    2008-09-01

    Psychophysiologic Response and Technology -Enabled Learning and Intervention Systems PRINCIPAL INVESTIGATOR: Leigh W. Jerome, Ph.D...NUMBER Transformative Learning : Patterns of Psychophysiologic Response and Technology - Enabled Learning and Intervention Systems 5b. GRANT NUMBER...project entitled “Transformative Learning : Patterns of Psychophysiologic Response in Technology Enabled Learning and Intervention Systems.” The

  9. Enhancing students' learning in problem based learning: validation of a self-assessment scale for active learning and critical thinking

    NARCIS (Netherlands)

    Khoiriyah, U.; Roberts, C.; Jorm, C.; Vleuten, C.P. van der

    2015-01-01

    BACKGROUND: Problem based learning (PBL) is a powerful learning activity but fidelity to intended models may slip and student engagement wane, negatively impacting learning processes, and outcomes. One potential solution to solve this degradation is by encouraging self-assessment in the PBL

  10. Motor imagery learning modulates functional connectivity of multiple brain systems in resting state.

    Science.gov (United States)

    Zhang, Hang; Long, Zhiying; Ge, Ruiyang; Xu, Lele; Jin, Zhen; Yao, Li; Liu, Yijun

    2014-01-01

    Learning motor skills involves subsequent modulation of resting-state functional connectivity in the sensory-motor system. This idea was mostly derived from the investigations on motor execution learning which mainly recruits the processing of sensory-motor information. Behavioral evidences demonstrated that motor skills in our daily lives could be learned through imagery procedures. However, it remains unclear whether the modulation of resting-state functional connectivity also exists in the sensory-motor system after motor imagery learning. We performed a fMRI investigation on motor imagery learning from resting state. Based on previous studies, we identified eight sensory and cognitive resting-state networks (RSNs) corresponding to the brain systems and further explored the functional connectivity of these RSNs through the assessments, connectivity and network strengths before and after the two-week consecutive learning. Two intriguing results were revealed: (1) The sensory RSNs, specifically sensory-motor and lateral visual networks exhibited greater connectivity strengths in precuneus and fusiform gyrus after learning; (2) Decreased network strength induced by learning was proved in the default mode network, a cognitive RSN. These results indicated that resting-state functional connectivity could be modulated by motor imagery learning in multiple brain systems, and such modulation displayed in the sensory-motor, visual and default brain systems may be associated with the establishment of motor schema and the regulation of introspective thought. These findings further revealed the neural substrates underlying motor skill learning and potentially provided new insights into the therapeutic benefits of motor imagery learning.

  11. Authoring Systems Delivering Reusable Learning Objects

    Directory of Open Access Journals (Sweden)

    George Nicola Sammour

    2009-10-01

    Full Text Available A three layer e-learning course development model has been defined based on a conceptual model of learning content object. It starts by decomposing the learning content into small chunks which are initially placed in a hierarchic structure of units and blocks. The raw content components, being the atomic learning objects (ALO, were linked to the blocks and are structured in the database. We set forward a dynamic generation of LO's using re-usable e-learning raw materials or ALO’s In that view we need a LO authoring/ assembling system fitting the requirements of interoperability and reusability and starting from selecting the raw learning content from the learning materials content database. In practice authoring systems are used to develop e-learning courses. The company EDUWEST has developed an authoring system that is database based and will be SCORM compliant in the near future.

  12. CLASSIFICATION OF LEARNING MANAGEMENT SYSTEMS

    Directory of Open Access Journals (Sweden)

    Yu. B. Popova

    2016-01-01

    Full Text Available Using of information technologies and, in particular, learning management systems, increases opportunities of teachers and students in reaching their goals in education. Such systems provide learning content, help organize and monitor training, collect progress statistics and take into account the individual characteristics of each user. Currently, there is a huge inventory of both paid and free systems are physically located both on college servers and in the cloud, offering different features sets of different licensing scheme and the cost. This creates the problem of choosing the best system. This problem is partly due to the lack of comprehensive classification of such systems. Analysis of more than 30 of the most common now automated learning management systems has shown that a classification of such systems should be carried out according to certain criteria, under which the same type of system can be considered. As classification features offered by the author are: cost, functionality, modularity, keeping the customer’s requirements, the integration of content, the physical location of a system, adaptability training. Considering the learning management system within these classifications and taking into account the current trends of their development, it is possible to identify the main requirements to them: functionality, reliability, ease of use, low cost, support for SCORM standard or Tin Can API, modularity and adaptability. According to the requirements at the Software Department of FITR BNTU under the guidance of the author since 2009 take place the development, the use and continuous improvement of their own learning management system.

  13. Assessing the impact of windfarms - the learning curve in Cornwall

    International Nuclear Information System (INIS)

    Hull, A.

    1998-01-01

    This paper uses windfarm application decisions in Cornwall between 1989 and 1995 to illustrate the learning curve of planners in assessing appropriate windfarm locations, and in particular how the process of knowledge construction is constantly reviewed and modified in the light of experience and circumstance. One of the accepted purposes of Environmental Impact Assessment is to predict the possible effects, both beneficial and adverse, of the development on the environment. In practice what is beneficial and what is adverse can be a matter of dispute. The paper draws out the role of the planning system in assessing what is problematic or benign, and the practical strategies and procedures used to assess and control the environmental impacts of wind energy schemes. (Author)

  14. Recommendation System Based On Association Rules For Distributed E-Learning Management Systems

    Science.gov (United States)

    Mihai, Gabroveanu

    2015-09-01

    Traditional Learning Management Systems are installed on a single server where learning materials and user data are kept. To increase its performance, the Learning Management System can be installed on multiple servers; learning materials and user data could be distributed across these servers obtaining a Distributed Learning Management System. In this paper is proposed the prototype of a recommendation system based on association rules for Distributed Learning Management System. Information from LMS databases is analyzed using distributed data mining algorithms in order to extract the association rules. Then the extracted rules are used as inference rules to provide personalized recommendations. The quality of provided recommendations is improved because the rules used to make the inferences are more accurate, since these rules aggregate knowledge from all e-Learning systems included in Distributed Learning Management System.

  15. A Perspective on Student Learning Outcome Assessment at Qatar University

    Science.gov (United States)

    Al-Thani, Shaikha Jabor; Abdelmoneim, Ali; Daoud, Khaled; Cherif, Adel; Moukarzel, Dalal

    2014-01-01

    This paper provides a unique perspective on the student learning outcome assessment process as adopted and implemented at Qatar University from 2006 to 2012. The progress of the student learning outcome assessment and continuous improvement efforts at the university and the initiatives taken to establish a culture of assessment and evidence-based…

  16. Learning from internships in gerontology and geriatrics: assessment and program evaluation.

    Science.gov (United States)

    Karasik, Rona J

    2009-01-01

    Internships are an essential component of gerontological education. Harvesting the learning from internships, however, requires careful attention to assessing an intern's work. In addition to providing feedback to students, internship assessment can also yield data useful for academic program evaluation. Drawing on internship assessment data collected from undergraduate and graduate gerontology interns and their community preceptors over a period of seven semesters, this article explores (1) concerns regarding how to assess what interns are learning, (2) ways to provide students with additional opportunities for learning from their internships, and (3) how information from these student-learning outcomes may be used to evaluate the effectiveness of the overall academic program.

  17. Applying Machine Learning and High Performance Computing to Water Quality Assessment and Prediction

    Directory of Open Access Journals (Sweden)

    Ruijian Zhang

    2017-12-01

    Full Text Available Water quality assessment and prediction is a more and more important issue. Traditional ways either take lots of time or they can only do assessments. In this research, by applying machine learning algorithm to a long period time of water attributes’ data; we can generate a decision tree so that it can predict the future day’s water quality in an easy and efficient way. The idea is to combine the traditional ways and the computer algorithms together. Using machine learning algorithms, the assessment of water quality will be far more efficient, and by generating the decision tree, the prediction will be quite accurate. The drawback of the machine learning modeling is that the execution takes quite long time, especially when we employ a better accuracy but more time-consuming algorithm in clustering. Therefore, we applied the high performance computing (HPC System to deal with this problem. Up to now, the pilot experiments have achieved very promising preliminary results. The visualized water quality assessment and prediction obtained from this project would be published in an interactive website so that the public and the environmental managers could use the information for their decision making.

  18. A New Approach to Personalization: Integrating E-Learning and M-Learning

    Science.gov (United States)

    Nedungadi, Prema; Raman, Raghu

    2012-01-01

    Most personalized learning systems are designed for either personal computers (e-learning) or mobile devices (m-learning). Our research has resulted in a cloud-based adaptive learning system that incorporates mobile devices into a classroom setting. This system is fully integrated into the formative assessment process and, most importantly,…

  19. Forum: Learning Outcomes in Communication. Assessment and NCA's Student Learning Outcomes

    Science.gov (United States)

    Mello, Brad; Brammer, Leila R.; White, Cindy; Hernandez, Trisha; Bach, Betsy

    2016-01-01

    Among faculty, assessment is frequently discussed as an added burden that does little to improve student learning, existing to appease administrators and accreditors. In fact, at one of the author's institutions, a faculty listserv post argued that assessment was a corporate and political move to standardize all education and destroy faculty…

  20. Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment.

    Science.gov (United States)

    Eskofier, Bjoern M; Lee, Sunghoon I; Daneault, Jean-Francois; Golabchi, Fatemeh N; Ferreira-Carvalho, Gabriela; Vergara-Diaz, Gloria; Sapienza, Stefano; Costante, Gianluca; Klucken, Jochen; Kautz, Thomas; Bonato, Paolo

    2016-08-01

    The development of wearable sensors has opened the door for long-term assessment of movement disorders. However, there is still a need for developing methods suitable to monitor motor symptoms in and outside the clinic. The purpose of this paper was to investigate deep learning as a method for this monitoring. Deep learning recently broke records in speech and image classification, but it has not been fully investigated as a potential approach to analyze wearable sensor data. We collected data from ten patients with idiopathic Parkinson's disease using inertial measurement units. Several motor tasks were expert-labeled and used for classification. We specifically focused on the detection of bradykinesia. For this, we compared standard machine learning pipelines with deep learning based on convolutional neural networks. Our results showed that deep learning outperformed other state-of-the-art machine learning algorithms by at least 4.6 % in terms of classification rate. We contribute a discussion of the advantages and disadvantages of deep learning for sensor-based movement assessment and conclude that deep learning is a promising method for this field.

  1. Assessment of Learning in Digital Interactive Social Networks: A Learning Analytics Approach

    Science.gov (United States)

    Wilson, Mark; Gochyyev, Perman; Scalise, Kathleen

    2016-01-01

    This paper summarizes initial field-test results from data analytics used in the work of the Assessment and Teaching of 21st Century Skills (ATC21S) project, on the "ICT Literacy--Learning in digital networks" learning progression. This project, sponsored by Cisco, Intel and Microsoft, aims to help educators around the world enable…

  2. Embracing Big Data in Complex Educational Systems: The Learning Analytics Imperative and the Policy Challenge

    Science.gov (United States)

    Macfadyen, Leah P.; Dawson, Shane; Pardo, Abelardo; Gaševic, Dragan

    2014-01-01

    In the new era of big educational data, learning analytics (LA) offer the possibility of implementing real-time assessment and feedback systems and processes at scale that are focused on improvement of learning, development of self-regulated learning skills, and student success. However, to realize this promise, the necessary shifts in the…

  3. How employees perceive organizational learning: construct validation of the 25-item short form of the strategic learning assessment map (SF-SLAM)

    NARCIS (Netherlands)

    Mainert, Jakob; Niepel, Christoph; Lans, T.; Greiff, Samuel

    2018-01-01

    Purpose: The Strategic Learning Assessment Map (SLAM) originally assessed organizational learning (OL) at the level of the firm by addressing managers, who rated OL in the SLAM on five dimensions of individual learning, group learning, organizational learning, feed-forward learning, and feedback

  4. Conformity Assessment as a Tool for Organizational Learning in Large Engineering and Construction Projects

    Directory of Open Access Journals (Sweden)

    Luciano Assalim

    2013-05-01

    Full Text Available For the successful realization of large engineering and construction projects (LECPs, a systemic organizational learning framework for institutional cooperation is critical. Due to the long project life-cycle of LECPs, this is particularly important for this kind of project. The objective of this paper is to analyze to what extent the conformity assessment of LECPs, carried out under Engineering, Procurement and Construction management (EPCm services, can be used as a tool for organizational learning and cooperation between typical stakeholders (project owners, engineering contractors, EPC contractors; subcontractors and certification bodies. The research, from which this paper emanates, was based on a case study concerning LECPs in an oil and gas company in Brazil. Based on its results, we suggest that the proposed organizational learning framework, supported by the conformity assessment rationale, constitutes an important management tool that can be disseminated in other organizational contexts where conformity assessments of LECPs take place.

  5. Student Modelling in Adaptive E-Learning Systems

    Directory of Open Access Journals (Sweden)

    Clemens Bechter

    2011-09-01

    Full Text Available Most e-Learning systems provide web-based learning so that students can access the same online courses via the Internet without adaptation, based on each student's profile and behavior. In an e-Learning system, one size does not fit all. Therefore, it is a challenge to make e-Learning systems that are suitably “adaptive”. The aim of adaptive e-Learning is to provide the students the appropriate content at the right time, means that the system is able to determine the knowledge level, keep track of usage, and arrange content automatically for each student for the best learning result. This study presents a proposed system which includes major adaptive features based on a student model. The proposed system is able to initialize the student model for determining the knowledge level of a student when the student registers for the course. After a student starts learning the lessons and doing many activities, the system can track information of the student until he/she takes a test. The student’s knowledge level, based on the test scores, is updated into the system for use in the adaptation process, which combines the student model with the domain model in order to deliver suitable course contents to the students. In this study, the proposed adaptive e-Learning system is implemented on an “Introduction to Java Programming Language” course, using LearnSquare software. After the system was tested, the results showed positive feedback towards the proposed system, especially in its adaptive capability.

  6. What Starts to Happen to Assessment When Teachers Learn about Their Children's Informal Learning?

    Science.gov (United States)

    Bourke, Roseanna; O'Neill, John; Loveridge, Judith

    2018-01-01

    Classroom assessment practices are greatly influenced by national and local policies on assessment. Typically, these include accountability requirements for schools to evidence and report their students' learning in the form of specific learning outcomes, calibrated against national benchmark standards of achievement and progression. An…

  7. Negotiating the use of formative assessment for learning in an era of accountability testing

    Science.gov (United States)

    Yin, Xinying

    The purpose of this collaborative action research was to understand how science educators can negotiate the tension between integrating formative assessment (FA) for students' learning and meeting the need for standardized summative assessment (testing) from a critical perspective. Using formative assessment in the era of accountability testing was a process in which the science educators identified the ways that the standardized testing system constrained the teacher's use of FA to improve students' learning, sought solutions to overcome the obstacles and came to understand how FA can be utilized to neutralize the power relationship between the institutional requirement and classroom teaching and learning. The challenge of doing FA under the pressure of standardized testing mainly lie in two dimensions: one was the demand of teaching all the desired standard-based content to all students in a limited amount of time and the sufficient time and flexibility required by doing FA to improve students' understanding, the other was the different levels of knowledge and forms of knowledge representation on FA and tests. The negotiation of doing FA for teaching standards and preparing students for tests entailed six aspects for the collaborative team, including clarifying teaching objectives, reconstructing instructional activities, negotiating with time constraints, designing effective FA activities, attending to students' needs in doing FA, and modifying end-of-unit tests to better assess the learning goals. As the teacher's instructional goals evolved to be more focused on conceptual understanding of standards and more thorough understanding for less activities, she perceived doing FA for learning and preparing students for standardized tests as more congruent. By integrating both divergent and convergent FA into instruction as well as modifying tests to be more aligned with standards, students' learning were enhanced and they were also being prepared for tests. This

  8. Adaptive Semantic and Social Web-based learning and assessment environment for the STEM

    Science.gov (United States)

    Babaie, Hassan; Atchison, Chris; Sunderraman, Rajshekhar

    2014-05-01

    We are building a cloud- and Semantic Web-based personalized, adaptive learning environment for the STEM fields that integrates and leverages Social Web technologies to allow instructors and authors of learning material to collaborate in semi-automatic development and update of their common domain and task ontologies and building their learning resources. The semi-automatic ontology learning and development minimize issues related to the design and maintenance of domain ontologies by knowledge engineers who do not have any knowledge of the domain. The social web component of the personal adaptive system will allow individual and group learners to interact with each other and discuss their own learning experience and understanding of course material, and resolve issues related to their class assignments. The adaptive system will be capable of representing key knowledge concepts in different ways and difficulty levels based on learners' differences, and lead to different understanding of the same STEM content by different learners. It will adapt specific pedagogical strategies to individual learners based on their characteristics, cognition, and preferences, allow authors to assemble remotely accessed learning material into courses, and provide facilities for instructors to assess (in real time) the perception of students of course material, monitor their progress in the learning process, and generate timely feedback based on their understanding or misconceptions. The system applies a set of ontologies that structure the learning process, with multiple user friendly Web interfaces. These include the learning ontology (models learning objects, educational resources, and learning goal); context ontology (supports adaptive strategy by detecting student situation), domain ontology (structures concepts and context), learner ontology (models student profile, preferences, and behavior), task ontologies, technological ontology (defines devices and places that surround the

  9. Assessing Interprofessional Education Collaborative Competencies in Service-Learning Course.

    Science.gov (United States)

    Sevin, Alexa M; Hale, Kenneth M; Brown, Nicole V; McAuley, James W

    2016-03-25

    Objective. To investigate the effect of an interprofessional service-learning course on health professions students' self-assessment of Interprofessional Education Collaborative (IPEC) competencies. Design. The semester-long elective course consisted of two components: a service component where students provided patient care in an interprofessional student-run free clinic and bi-weekly workshops in which students reflected on their experiences and discussed roles, team dynamics, communication skills, and challenges with underserved patient populations. Assessment. All fifteen students enrolled in the course completed a validated 42-question survey in a retrospective post-then-pre design. The survey instrument assessed IPEC competencies in four domains: Values and Ethics, Roles and Responsibilities, Interprofessional Communication, and Teams and Teamwork. Students' self-assessment of IPEC competencies significantly improved in all four domains after completion of the course. Conclusion. Completing an interprofessional service-learning course had a positive effect on students' self-assessment of interprofessional competencies, suggesting service-learning is an effective pedagogical platform for interprofessional education.

  10. Towards a Quality Assessment Method for Learning Preference Profiles in Negotiation

    Science.gov (United States)

    Hindriks, Koen V.; Tykhonov, Dmytro

    In automated negotiation, information gained about an opponent's preference profile by means of learning techniques may significantly improve an agent's negotiation performance. It therefore is useful to gain a better understanding of how various negotiation factors influence the quality of learning. The quality of learning techniques in negotiation are typically assessed indirectly by means of comparing the utility levels of agreed outcomes and other more global negotiation parameters. An evaluation of learning based on such general criteria, however, does not provide any insight into the influence of various aspects of negotiation on the quality of the learned model itself. The quality may depend on such aspects as the domain of negotiation, the structure of the preference profiles, the negotiation strategies used by the parties, and others. To gain a better understanding of the performance of proposed learning techniques in the context of negotiation and to be able to assess the potential to improve the performance of such techniques a more systematic assessment method is needed. In this paper we propose such a systematic method to analyse the quality of the information gained about opponent preferences by learning in single-instance negotiations. The method includes measures to assess the quality of a learned preference profile and proposes an experimental setup to analyse the influence of various negotiation aspects on the quality of learning. We apply the method to a Bayesian learning approach for learning an opponent's preference profile and discuss our findings.

  11. Micro Learning: A Modernized Education System

    Directory of Open Access Journals (Sweden)

    Omer Jomah

    2016-03-01

    Full Text Available Learning is an understanding of how the human brain is wired to learning rather than to an approach or a system. It is one of the best and most frequent approaches for the 21st century learners. Micro learning is more interesting due to its way of teaching and learning the content in a small, very specific burst. Here the learners decide what and when to learn. Content, time, curriculum, form, process, mediality, and learning type are the dimensions of micro learning. Our paper will discuss about micro learning and about the micro-content management system. The study will reflect the views of different users, and will analyze the collected data. Finally, it will be concluded with its pros and cons. 

  12. ORIGINAL ARTICLE Schools as Learning Organisations: Assessing ...

    African Journals Online (AJOL)

    Key words: Organisational learning, leadership, professional development, culture, system. Thinking. ... failed”. In the context of this challenge and ... continually learn how to learn together ... are now required to lead and contribute to .... to work in teams and sharing knowledge is ..... promise to foster new collaborative links.

  13. Motor Imagery Learning Modulates Functional Connectivity of Multiple Brain Systems in Resting State

    Science.gov (United States)

    Zhang, Hang; Long, Zhiying; Ge, Ruiyang; Xu, Lele; Jin, Zhen; Yao, Li; Liu, Yijun

    2014-01-01

    Background Learning motor skills involves subsequent modulation of resting-state functional connectivity in the sensory-motor system. This idea was mostly derived from the investigations on motor execution learning which mainly recruits the processing of sensory-motor information. Behavioral evidences demonstrated that motor skills in our daily lives could be learned through imagery procedures. However, it remains unclear whether the modulation of resting-state functional connectivity also exists in the sensory-motor system after motor imagery learning. Methodology/Principal Findings We performed a fMRI investigation on motor imagery learning from resting state. Based on previous studies, we identified eight sensory and cognitive resting-state networks (RSNs) corresponding to the brain systems and further explored the functional connectivity of these RSNs through the assessments, connectivity and network strengths before and after the two-week consecutive learning. Two intriguing results were revealed: (1) The sensory RSNs, specifically sensory-motor and lateral visual networks exhibited greater connectivity strengths in precuneus and fusiform gyrus after learning; (2) Decreased network strength induced by learning was proved in the default mode network, a cognitive RSN. Conclusions/Significance These results indicated that resting-state functional connectivity could be modulated by motor imagery learning in multiple brain systems, and such modulation displayed in the sensory-motor, visual and default brain systems may be associated with the establishment of motor schema and the regulation of introspective thought. These findings further revealed the neural substrates underlying motor skill learning and potentially provided new insights into the therapeutic benefits of motor imagery learning. PMID:24465577

  14. Social Learning through Participatory Integrated Catchment Risk Assessment in the Solomon Islands

    Directory of Open Access Journals (Sweden)

    Suzanne Hoverman

    2011-06-01

    Full Text Available In developed countries a social learning approach has been shown to support Integrated Water Resources Management (IWRM by fostering stakeholders' understanding of system complexity, recognition of mutual dependence, appreciation of others' perspectives, and development of the capacity to work together and to create mutual trust. Much less is known about social learning's potential in less developed small island states, particularly postconflict island states, where integration must navigate prescriptive management, limited resources, widely differing world views, a history of adversarial relationships, and unsuccessful attempts at government-community collaboration. This paper analyzes the transformative aspects of a social learning experience that occurred during research facilitating participatory integrated catchment management in the Pacific. The study elicited community and expert knowledge to create systems understanding to generate and analyze complex scenarios for integrated catchment risk assessment in the Kongulai catchment, Solomon Islands. Separate sequenced and then combined discussions led to facilitated exploration of others' subjective assessment of catchment risks and management options. Issues of transparency, trust, accountability, and mutual responsibility were explored in carefully created discursive spaces, assisted by the immediacy of personal contact and the absence of complex bureaucratic structures. Despite historical difficulties, through the use of bridging individuals, participants were generally able to transcend the constraints of their individual knowledge cultures, expand awareness and appreciation of the complexity of human-environment systems for IWRM, and envisage new opportunities for productively working together in integrated catchment management.

  15. Marketing Prior Learning Assessment Programs.

    Science.gov (United States)

    Heeger, Gerald A.

    1983-01-01

    Experiential learning programs must be marketed effectively if they are to succeed. The formulation of market strategy is discussed including: strategic planning; identification of a market target; and development of a market mix. A commitment to marketing academic programs is seen as a commitment to self-assessment. (MW)

  16. Learning Management Systems and Comparison of Open Source Learning Management Systems and Proprietary Learning Management Systems

    Directory of Open Access Journals (Sweden)

    Yücel Yılmaz

    2016-04-01

    Full Text Available The concept of learning has been increasingly gaining importance for individuals, businesses and communities in the age of information. On the other hand, developments in information and communication technologies take effect in the field of learning activities. With these technologies, barriers of time and space against the learning activities largely disappear and these technologies make it easier to carry out these activities more effectively. There remain a lot of questions regarding selection of learning management system (LMS to be used for the management of e-learning processes by all organizations conducing educational practices including universities, companies, non-profit organizations, etc. The main questions are as follows: Shall we choose open source LMS or commercial LMS? Can the selected LMS meet existing needs and future potential needs for the organization? What are the possibilities of technical support in the management of LMS? What kind of problems may be experienced in the use of LMS and how can these problems be solved? How much effective can officials in the organization be in the management of LMS? In this study, primarily e-learning and the concept of LMS will be discussed, and in the next section, as for answers to these questions, open source LMSs and centrally developed LMSs will be examined and their advantages and disadvantages relative to each other will be discussed.

  17. Transportation life cycle assessment (LCA) synthesis : life cycle assessment learning module series.

    Science.gov (United States)

    2015-03-12

    The Life Cycle Assessment Learning Module Series is a set of narrated, self-advancing slideshows on : various topics related to environmental life cycle assessment (LCA). This research project produced the first 27 of such modules, which : are freely...

  18. Imbalanced Learning for Functional State Assessment

    Science.gov (United States)

    Li, Feng; McKenzie, Frederick; Li, Jiang; Zhang, Guangfan; Xu, Roger; Richey, Carl; Schnell, Tom

    2011-01-01

    This paper presents results of several imbalanced learning techniques applied to operator functional state assessment where the data is highly imbalanced, i.e., some function states (majority classes) have much more training samples than other states (minority classes). Conventional machine learning techniques usually tend to classify all data samples into majority classes and perform poorly for minority classes. In this study, we implemented five imbalanced learning techniques, including random undersampling, random over-sampling, synthetic minority over-sampling technique (SMOTE), borderline-SMOTE and adaptive synthetic sampling (ADASYN) to solve this problem. Experimental results on a benchmark driving lest dataset show thai accuracies for minority classes could be improved dramatically with a cost of slight performance degradations for majority classes,

  19. Resolving the Problem of Intelligent Learning Content in Learning Management Systems

    Science.gov (United States)

    Rey-Lopez, Marta; Brusilovsky, Peter; Meccawy, Maram; Diaz-Redondo, Rebeca; Fernandez-Vilas, Ana; Ashman, Helen

    2008-01-01

    Current e-learning standardization initiatives have put much effort into easing interoperability between systems and the reusability of contents. For this to be possible, one of the most relevant areas is the definition of a run-time environment, which allows Learning Management Systems to launch, track and communicate with learning objects.…

  20. Evaluating Usability of E-Learning Systems in Universities

    OpenAIRE

    Nicholas Kipkurui Kiget; Professor G. Wanyembi; Anselemo Ikoha Peters

    2014-01-01

    The use of e-learning systems has increased significantly in the recent times. E-learning systems are supplementing teaching and learning in universities globally. Kenyan universities have adopted e-learning technologies as means for delivering course content. However despite adoption of these systems, there are considerable challenges facing the usability of the systems. Lecturers and students have different perceptions in regard to the usability of e-learning systems. The aim of this study ...

  1. Assessment of Learning Gains in a Flipped Biochemistry Classroom

    Science.gov (United States)

    Ojennus, Deanna Dahlke

    2016-01-01

    The flipped classroom has become an increasingly popular pedagogical approach to teaching and learning. In this study, learning gains were assessed in a flipped biochemistry course and compared to gains in a traditional lecture. Although measured learning gains were not significantly different between the two courses, student perception of…

  2. Integrating knowledge exchange and the assessment of dryland management alternatives - A learning-centered participatory approach.

    Science.gov (United States)

    Bautista, Susana; Llovet, Joan; Ocampo-Melgar, Anahí; Vilagrosa, Alberto; Mayor, Ángeles G; Murias, Cristina; Vallejo, V Ramón; Orr, Barron J

    2017-06-15

    The adoption of sustainable land management strategies and practices that respond to current climate and human pressures requires both assessment tools that can lead to better informed decision-making and effective knowledge-exchange mechanisms that facilitate new learning and behavior change. We propose a learning-centered participatory approach that links land management assessment and knowledge exchange and integrates science-based data and stakeholder perspectives on both biophysical and socio-economic attributes. We outline a structured procedure for a transparent assessment of land management alternatives, tailored to dryland management, that is based on (1) principles of constructivism and social learning, (2) the participation of stakeholders throughout the whole assessment process, from design to implementation, and (3) the combination of site-specific indicators, identified by local stakeholders as relevant to their particular objectives and context conditions, and science-based indicators that represent ecosystem services of drylands worldwide. The proposed procedure follows a pattern of eliciting, challenging, and self-reviewing stakeholder perspectives that aims to facilitate learning. The difference between the initial baseline perspectives and the final self-reviewed stakeholder perspectives is used as a proxy of learning. We illustrate the potential of this methodology by its application to the assessment of land uses in a Mediterranean fire-prone area in East Spain. The approach may be applied to a variety of socio-ecological systems and decision-making and governance scales. Copyright © 2016 Elsevier Ltd. All rights reserved.

  3. Internal and External Factors Affecting Teachers' Adoption of Formative Assessment to Support Learning

    Science.gov (United States)

    Izci, Kemal

    2016-01-01

    Assessment forms an important part of instruction. Assessment that aims to support learning is known as formative assessment and it contributes student's learning gain and motivation. However, teachers rarely use assessment formatively to aid their students' learning. Thus reviewing the factors that limit or support teachers' practices of…

  4. Feedback Design Patterns for Math Online Learning Systems

    Science.gov (United States)

    Inventado, Paul Salvador; Scupelli, Peter; Heffernan, Cristina; Heffernan, Neil

    2017-01-01

    Increasingly, computer-based learning systems are used by educators to facilitate learning. Evaluations of several math learning systems show that they result in significant student learning improvements. Feedback provision is one of the key features in math learning systems that contribute to its success. We have recently been uncovering feedback…

  5. Assessing propensity to learn from safety-related events

    NARCIS (Netherlands)

    Drupsteen, L.; Wybo, J.L.

    2015-01-01

    Most organisations aim to use experience from the past to improve safety, for instance through learning from safety-related incidents and accidents. Whether an organisation is able to learn successfully can however only be determined afterwards. So far, there are no proactive measures to assess

  6. Pengembangan problem based learning dengan assessment for learning berbantuan smartphone dalam pembelajaran matematika

    Directory of Open Access Journals (Sweden)

    Muhammad Ridlo Yuwono

    2017-11-01

    Full Text Available [Bahasa]: Penelitian ini bertujuan untuk menghasilkan model Problem Based Learning (PBL menggunakan penilaian Assessment for Learning (AfL berbantuan smartphone, disingkat PBL-AfL-S yang valid, praktis dan efektif untuk mendukung implementasi kurikulum 2013 di SMA. Tahap-tahap pengembangan model PBL-AfL-S terdiri dari penelitian pendahuluan, pengembangan/prototiping, dan evaluasi. Kualitas model PBL-AfL-S mengacu pada kriteria kualitas menurut Nieveen (1999 yaitu valid, praktis, dan efektif. Model PBL-AfL-S diujicobakan di SMA Negeri 3 Klaten dalam dua tahap uji coba. Uji coba tahap I dilaksanakan di kelas XI-IPA 6 dan uji coba tahap II dilaksanakan di kelas XI-IPA 7. Instrumen penelitian terdiri dari: 1 Instrumen penilaian kevalidan komponen model dan perangkat pendukung pembelajaran, 2 Instrumen kepraktisan aktivitas guru dan siswa, dan 3 Instrumen keefektifan yang meliputi angket penilaian diri, lembar penilaian proyek, tes prestasi belajar, dan lembar respon siswa. Hasil penelitian menunjukkan bahwa model PBL-AfL-S dan perangkat pembelajarannya telah memenuhi kriteria valid, praktis dan efektif. Kata kunci: Pembelajaran; Masalah; Asesmen; Smartphone [English]: This study aims to develop a Problem Based Learning (PBL model using Assessment for Learning (AFL with smartphone, abbreviated as PBL-AfL-S as valid, practical and effective to support the implementation of the 2013 curriculum in High School. The stages of developing the PBL-AfL-S model consist of preliminary research, development or prototyping, and evaluation. The quality criteria of PBL-AfL-S refer to Nieveen (1999, i.e. valid, practical, and effective. The PBL-AfL-S model was piloted in SMA Negeri 3 Klaten in two phases. Tryout 1 was conducted in class XI-IPA 6 and tryout 2 was in class XI-IPA 7. The research instruments consist of: 1 The validity instrument of the model and its learning support tools, 2 the practicality of the teacher’s and students’ activity, and 3 The

  7. DIDACTIC ENGINEERING: DESIGNING NEW GENERATION LEARNING SYSTEMS

    Directory of Open Access Journals (Sweden)

    Nail K. Nuriyev

    2016-09-01

    Full Text Available Introduction: the article deals with the organisation of training activities in the man-made environment. Didactic engineering is seen as a methodology within which problems of didactics are solved with application of pedagogical, psychological, engineering methods. It is obvious that in order to implement the training of future engineers in a competence-based format (according to educational standard a new type of teaching system is needed, with new capacities (properties. These systems should set each student towards the development of professionally significant (key abilities, taking into account his/her psychological characteristics; ensure training on the verge of permissible difficulties (developing training, and thereby achieve rapid development of key skills, through his/her zone of “immediate development”; to diagnose the quality of possession of a competence in the academic sense. For the objectivity and reliability of assessment of the level and depth of learned knowledge it is necessary to generate this evaluation in a metric format. As a result, we created a didactic system, which combines all the listed properties and the properties of classical systems. This allowed us to construct a new generation of didactic systems. Materials and Methods: the research is based on a systematic analysis of the activity of an engineer; on models of “zones of immediate development” by L. S. Vygotsky; on “developmental education” by L. N. Zankova; on the use of pedagogical and psychological patterns as well as taxonomic methods, didactic engineering, theory of probability and mathematical statistics. Results: constructed is a model for training engineers in the metric format of competence, which envisages a rapid development of students project and constructive abilit ies based on their knowledge learned. Discussion and Conclusions: the parameters defining the probability of engineer’s success have been described; the taxonomic scale

  8. Analysis and Assessment of Computer-Supported Collaborative Learning Conversations

    NARCIS (Netherlands)

    Trausan-Matu, Stefan

    2008-01-01

    Trausan-Matu, S. (2008). Analysis and Assessment of Computer-Supported Collaborative Learning Conversations. Workshop presentation at the symposium Learning networks for professional. November, 14, 2008, Heerlen, Nederland: Open Universiteit Nederland.

  9. Student Engagement and Blended Learning: Making the Assessment Connection

    Science.gov (United States)

    Vaughan, Norman

    2014-01-01

    There is an increased focus on student engagement and blended approaches to learning in higher education. This article demonstrates how collaborative learning applications and a blended approach to learning can be used to design and support assessment activities that increase levels of student engagement with course concepts, their peers, faculty…

  10. Assessing Performance and Learning in Interprofessional Health Care Teams.

    Science.gov (United States)

    Ekmekci, Ozgur; Sheingold, Brenda; Plack, Margaret; LeLacheur, Susan; Halvaksz, Jennifer; Lewis, Karen; Schlumpf, Karen; Greenberg, Larrie

    2015-01-01

    Teamwork has become an integral part of health care delivery. Such emphasis on teamwork has generated the need to systematically measure and improve the learning and performance of health care teams. The purpose of this study was to develop a comprehensive assessment instrument, the Interprofessional Education and Practice Inventory (IPEPI), to evaluate learning and performance in interprofessional health care teams. The 12-month study commenced in three 4-month phases: (1) a panel of 25 national and international experts participated in the Delphi process to identify factors influencing team learning and team performance; (2) the research team analyzed the findings from the two Delphi rounds to develop the IPEPI; and (3) a cohort of 27 students at the university engaged in clinical simulations to test and refine the IPEPI. Findings suggest key factors that significantly influence team learning and performance include whether the group is able to foster a climate of mutual respect, adopt effective communication strategies, develop a sense of trust, and invite contributions from others. Additionally, in assessing organizational factors, participants indicated those factors that significantly influence team learning and performance include whether the organization is patient-centered, creates a culture of safety (not blame), and supports individual and team learning. These findings highlight the critical role assessment plays in enhancing not just interprofessional education or interprofessional practice, but in essence advancing interprofessional education and practice--which requires an integrated examination of how health care professionals learn and perform in teams.

  11. Conceptualizing impact assessment as a learning process

    International Nuclear Information System (INIS)

    Sánchez, Luis E.; Mitchell, Ross

    2017-01-01

    This paper explores how project developers and their consultants, government regulators and stakeholders can learn from the impact assessment (IA) process, thus potentially improving its effectiveness and enhancing project sustainability. Despite the benefits that learning can bring to an organization, failure to learn appears commonplace both within the IA process and, once approved, subsequent industrial development. To nurture organizational learning through IA, enabling structures that foster information sharing and interpretation and enhance organizational memory are needed. In this paper learning outcomes are grouped into three categories: acquisition of knowledge and skills, developing new behaviors and developing sustainability-oriented norms and values. Means to achieve such outcomes include education and training, experiential learning, learning through public participation (social learning) and a ‘learning organization approach’. Societal expectations increasingly demand not only projects that ‘pass’ the review criteria of regulators, financiers and the community, but IA processes capable of delivering sustainable outcomes that include learning and sharing of knowledge. It is proposed that learning be treated as a purposeful – not as an accidental – outcome of IA, and facilitated by adopting a ‘learning organization approach’ coupled with best practice such as early stakeholder engagement. - Highlights: • Proponents are challenged to develop projects that deliver sustainable outcomes. • Passing the test of government approval may be insufficient to obtain a social license. • Learning by all stakeholders is vital to meet these challenges. • Learning outcomes have to go beyond instrumental learning to reach new behaviors, norms and values. • A “learning organization approach” can promote mutual learning and improve project design.

  12. Conceptualizing impact assessment as a learning process

    Energy Technology Data Exchange (ETDEWEB)

    Sánchez, Luis E., E-mail: lsanchez@usp.br [Escola Politécnica, University of São Paulo, Av. Prof. Mello Moraes, 2373, 05508-900 São Paulo (Brazil); Mitchell, Ross, E-mail: ross.mitchell@ualberta.net [Shell International Exploration & Production BV (Netherlands)

    2017-01-15

    This paper explores how project developers and their consultants, government regulators and stakeholders can learn from the impact assessment (IA) process, thus potentially improving its effectiveness and enhancing project sustainability. Despite the benefits that learning can bring to an organization, failure to learn appears commonplace both within the IA process and, once approved, subsequent industrial development. To nurture organizational learning through IA, enabling structures that foster information sharing and interpretation and enhance organizational memory are needed. In this paper learning outcomes are grouped into three categories: acquisition of knowledge and skills, developing new behaviors and developing sustainability-oriented norms and values. Means to achieve such outcomes include education and training, experiential learning, learning through public participation (social learning) and a ‘learning organization approach’. Societal expectations increasingly demand not only projects that ‘pass’ the review criteria of regulators, financiers and the community, but IA processes capable of delivering sustainable outcomes that include learning and sharing of knowledge. It is proposed that learning be treated as a purposeful – not as an accidental – outcome of IA, and facilitated by adopting a ‘learning organization approach’ coupled with best practice such as early stakeholder engagement. - Highlights: • Proponents are challenged to develop projects that deliver sustainable outcomes. • Passing the test of government approval may be insufficient to obtain a social license. • Learning by all stakeholders is vital to meet these challenges. • Learning outcomes have to go beyond instrumental learning to reach new behaviors, norms and values. • A “learning organization approach” can promote mutual learning and improve project design.

  13. Bootcamp EMMA MOOC Assessment for learning in practice

    NARCIS (Netherlands)

    Firssova, Olga; Brouns, Francis

    2016-01-01

    At the EDEN Conference an introduction to the EMMA platform will be combined with learning activities relevant to the topic of Formative Assessment. EDEN conference participants will have an opportunity to join the MOOC prior to the conference or at the conference. A range of learning activities

  14. Patient safety in external beam radiotherapy, results of the ACCIRAD project: Current status of proactive risk assessment, reactive analysis of events, and reporting and learning systems in Europe.

    Science.gov (United States)

    Malicki, Julian; Bly, Ritva; Bulot, Mireille; Godet, Jean-Luc; Jahnen, Andreas; Krengli, Marco; Maingon, Philippe; Prieto Martin, Carlos; Przybylska, Kamila; Skrobała, Agnieszka; Valero, Marc; Jarvinen, Hannu

    2017-04-01

    To describe the current status of implementation of European directives for risk management in radiotherapy and to assess variability in risk management in the following areas: 1) in-country regulatory framework; 2) proactive risk assessment; (3) reactive analysis of events; and (4) reporting and learning systems. The original data were collected as part of the ACCIRAD project through two online surveys. Risk assessment criteria are closely associated with quality assurance programs. Only 9/32 responding countries (28%) with national regulations reported clear "requirements" for proactive risk assessment and/or reactive risk analysis, with wide variability in assessment methods. Reporting of adverse error events is mandatory in most (70%) but not all surveyed countries. Most European countries have taken steps to implement European directives designed to reduce the probability and magnitude of accidents in radiotherapy. Variability between countries is substantial in terms of legal frameworks, tools used to conduct proactive risk assessment and reactive analysis of events, and in the reporting and learning systems utilized. These findings underscore the need for greater harmonisation in common terminology, classification and reporting practices across Europe to improve patient safety and to enable more reliable inter-country comparisons. Copyright © 2017 Elsevier B.V. All rights reserved.

  15. Impact of self-assessment by students on their learning.

    Science.gov (United States)

    Sharma, Rajeev; Jain, Amit; Gupta, Naveenta; Garg, Sonia; Batta, Meenal; Dhir, Shashi Kant

    2016-01-01

    Tutor assessment is sometimes also considered as an exercise of power by the assessor over assesses. Student self-assessment is the process by which the students gather information about and reflect on their own learning and is considered to be a very important component of learning. The primary objective of this study was to analyze the impact of self-assessment by undergraduate medical students on their subsequent academic performance. The secondary objective was to obtain the perception of students and faculty about self-assessment as a tool for enhanced learning. The study was based on the evaluation of two theory tests consisting of both essay type and short answer questions, administered to students of the 1(st) year MBBS (n = 89). They self-assessed their performance after 3 days of the first test followed by marking of faculty and feedback. Then, a nonidentical theory test on the same topic with the same difficulty level was conducted after 7 days and assessed by the teachers. The feedback about the perception of students and faculty about this intervention was obtained. Significant improvement in the academic performance after the process of self-assessment was observed (P academic performance, helping them in development of critical skills for analysis of their own work.

  16. Indirect learning control for nonlinear dynamical systems

    Science.gov (United States)

    Ryu, Yeong Soon; Longman, Richard W.

    1993-01-01

    In a previous paper, learning control algorithms were developed based on adaptive control ideas for linear time variant systems. The learning control methods were shown to have certain advantages over their adaptive control counterparts, such as the ability to produce zero tracking error in time varying systems, and the ability to eliminate repetitive disturbances. In recent years, certain adaptive control algorithms have been developed for multi-body dynamic systems such as robots, with global guaranteed convergence to zero tracking error for the nonlinear system euations. In this paper we study the relationship between such adaptive control methods designed for this specific class of nonlinear systems, and the learning control problem for such systems, seeking to converge to zero tracking error in following a specific command repeatedly, starting from the same initial conditions each time. The extension of these methods from the adaptive control problem to the learning control problem is seen to be trivial. The advantages and disadvantages of using learning control based on such adaptive control concepts for nonlinear systems, and the use of other currently available learning control algorithms are discussed.

  17. Learning Spaces

    CERN Document Server

    Falmagne, Jean-Claude

    2011-01-01

    Learning spaces offer a rigorous mathematical foundation for practical systems of educational technology. Learning spaces generalize partially ordered sets and are special cases of knowledge spaces. The various structures are investigated from the standpoints of combinatorial properties and stochastic processes. Leaning spaces have become the essential structures to be used in assessing students' competence of various topics. A practical example is offered by ALEKS, a Web-based, artificially intelligent assessment and learning system in mathematics and other scholarly fields. At the heart of A

  18. The Development and Evaluation of an Online Formative Assessment upon Single-Player Game in E-Learning Environment

    Science.gov (United States)

    Tsai, Fu-Hsing

    2013-01-01

    This study developed a game-based formative assessment, called tic-tac-toe quiz for single-player version (TRIS-Q-SP), in an energy education e-learning system. This assessment game combined tic-tac-toe with online assessment, and revised the rule of tic-tac-toe for stimulating students to use online formative assessment actively. Additionally, to…

  19. An Intelligent System for Determining Learning Style

    Science.gov (United States)

    Ozdemir, Ali; Alaybeyoglu, Aysegul; Mulayim, Naciye; Uysal, Muhammed

    2018-01-01

    In this study, an intelligent system which determines learning style of the students is developed to increase success in effective and easy learning. The importance of the proposed software system is to determine convenience degree of the student's learning style. Personal information form and Dunn Learning Style Preference Survey are used to…

  20. Contribution of continuous assessment to student learning in ...

    African Journals Online (AJOL)

    The study seeks to find out whether continuous assessment contributes to students' performance mathematics. The objectives of this study were to find out whether; Students see continuous assessment as a motivating factor in their learning, there is any workload involved in filling of continuous assessment termly, ...

  1. Integrated reactive self-assessment for programmatic learning

    International Nuclear Information System (INIS)

    Corcoran, W.R.

    1996-01-01

    This paper presents a generalized method for using reactive self-assessment. The application is to programmatic learning involving the integration of reactive self-assessment results over a period of time. This paper also presents some of the results of one application of the process. Self-assessment, in general, is the assessment conducted or sponsored by an individual or organization of its own activities for the purpose of detecting improvement opportunities, either of the corrective or the enhancement types. Reactive self-assessment is a self-assessment activity conducted in reaction to a shortfall event. An integrative reactive self-assessment is a self-assessment that integrates a set of reactive self-assessment results. Programmatic learning is increasing the knowledge base in a program area. Self-assessment, in general, and reactive self-assessment, in particular, are required by federal quality requirements. One such program area is nuclear power plant testing, which is also required by federal quality requirements. Any program area could have been selected, but this one was selected because it was involved in the Chernobyl accident, the most consequential nuclear power accident up until the time of this writing. Other consequential accidents involving nuclear power plant testing were the Browns Ferry fire and the Salem overspeed event. (The author, of course, does not conduct nuclear power plant testing but is doing a self-assessment as if he were acting for an organization that did testing.)

  2. Does learning style influence academic performance in different forms of assessment?

    Science.gov (United States)

    Wilkinson, Tracey; Boohan, Mairead; Stevenson, Michael

    2014-03-01

    Educational research on learning styles has been conducted for some time, initially within the field of psychology. Recent research has widened to include more diverse disciplines, with greater emphasis on application. Although there are numerous instruments available to measure several different dimensions of learning style, it is generally accepted that styles differ, although the qualities of more than one style may be inherent in any one learner. But do these learning styles have a direct effect on student performance in examinations, specifically in different forms of assessment? For this study, hypotheses were formulated suggesting that academic performance is influenced by learning style. Using the Honey and Mumford Learning Style Questionnaire, learning styles of a cohort of first year medical and dental students at Queen's University Belfast were assessed. Pearson correlation was performed between the score for each of the four learning styles and the student examination results in a variety of subject areas (including anatomy) and in different types of assessments - single best answer, short answer questions and Objective Structured Clinical Examinations. In most of the analyses, there was no correlation between learning style and result and in the few cases where the correlations were statistically significant, they generally appeared to be weak. It seems therefore from this study that although the learning styles of students vary, they have little effect on academic performance, including in specific forms of assessment. © 2013 Anatomical Society.

  3. Self-Assessment: Challenging Students to Take Charge of Learning

    Science.gov (United States)

    Harada, Violet H.

    2010-01-01

    Students are frequently unaware that they hold the power of learning in their own hands. Their ability to figure out what they are doing and where they are heading are crucial keys to consciously applying learning strategies, developing effective work habits, and assessing their own performance. The ability to regulate one's own learning means…

  4. Bladder cancer treatment response assessment using deep learning in CT with transfer learning

    Science.gov (United States)

    Cha, Kenny H.; Hadjiiski, Lubomir M.; Chan, Heang-Ping; Samala, Ravi K.; Cohan, Richard H.; Caoili, Elaine M.; Paramagul, Chintana; Alva, Ajjai; Weizer, Alon Z.

    2017-03-01

    We are developing a CAD system for bladder cancer treatment response assessment in CT. We compared the performance of the deep-learning convolution neural network (DL-CNN) using different network sizes, and with and without transfer learning using natural scene images or regions of interest (ROIs) inside and outside the bladder. The DL-CNN was trained to identify responders (T0 disease) and non-responders to chemotherapy. ROIs were extracted from segmented lesions in pre- and post-treatment scans of a patient and paired to generate hybrid pre-post-treatment paired ROIs. The 87 lesions from 82 patients generated 104 temporal lesion pairs and 6,700 pre-post-treatment paired ROIs. Two-fold cross-validation and receiver operating characteristic analysis were performed and the area under the curve (AUC) was calculated for the DL-CNN estimates. The AUCs for prediction of T0 disease after treatment were 0.77+/-0.08 and 0.75+/-0.08, respectively, for the two partitions using DL-CNN without transfer learning and a small network, and were 0.74+/-0.07 and 0.74+/-0.08 with a large network. The AUCs were 0.73+/-0.08 and 0.62+/-0.08 with transfer learning using a small network pre-trained with bladder ROIs. The AUC values were 0.77+/-0.08 and 0.73+/-0.07 using the large network pre-trained with the same bladder ROIs. With transfer learning using the large network pretrained with the Canadian Institute for Advanced Research (CIFAR-10) data set, the AUCs were 0.72+/-0.06 and 0.64+/-0.09, respectively, for the two partitions. None of the differences in the methods reached statistical significance. Our study demonstrated the feasibility of using DL-CNN for the estimation of treatment response in CT. Transfer learning did not improve the treatment response estimation. The DL-CNN performed better when transfer learning with bladder images was used instead of natural scene images.

  5. Learning Markov models for stationary system behaviors

    DEFF Research Database (Denmark)

    Chen, Yingke; Mao, Hua; Jaeger, Manfred

    2012-01-01

    to a single long observation sequence, and in these situations existing automatic learning methods cannot be applied. In this paper, we adapt algorithms for learning variable order Markov chains from a single observation sequence of a target system, so that stationary system properties can be verified using......Establishing an accurate model for formal verification of an existing hardware or software system is often a manual process that is both time consuming and resource demanding. In order to ease the model construction phase, methods have recently been proposed for automatically learning accurate...... the learned model. Experiments demonstrate that system properties (formulated as stationary probabilities of LTL formulas) can be reliably identified using the learned model....

  6. Developing an Assessment of Learning Process: The Importance of Pre-Testing

    Science.gov (United States)

    Sheran, Michelle; Sarbaum, Jeffrey

    2012-01-01

    Colleges and universities are increasingly being held accountable for assessing and reporting student learning. Recently there has been increased focus on using assessment to improve learning over time. In this paper we present a simple, step-by-step assessment process that will deliver meaningful results to achieve these ends. We emphasize the…

  7. Simulation videos presented in a blended learning platform to improve Australian nursing students' knowledge of family assessment.

    Science.gov (United States)

    Coyne, Elisabeth; Frommolt, Valda; Rands, Hazel; Kain, Victoria; Mitchell, Marion

    2018-07-01

    The provision of simulation to enhance learning is becoming common practice as clinical placement becomes harder to secure within Bachelor of Nursing programs. The use of simulation videos within a blended learning platform enables students to view best practice and provides relevant links between theory and practice. Four simulation videos depicting family assessment viewed by a cohort of Australian undergraduate nursing students were evaluated. These videos were professionally developed using actors and experienced family nurses. Surveys were used to explore the students' self-assessed knowledge, confidence and learning preferences before and after exposure to blended learning resources. Students' engagement with the simulated videos was captured via the Learning Management System. Time 1 survey was completed by 163 students and Time 2 by 91 students. There was a significant increase in students' perceived knowledge of family theory Item 1 from a mean 4.13 (SD = 1.04) at Time 1 to 4.74 (SD = 0.89) (Z = -4.54 p blended learning resource increases the students' understanding of family assessment and is worth incorporating into future development of courses. Copyright © 2018 Elsevier Ltd. All rights reserved.

  8. Criteria for assessing learning material for distance education ...

    African Journals Online (AJOL)

    This article proposes eight broad criteria for assessing learning material for distance education institutions such as the University of South Africa (Unisa) where learning material in print format is the main teaching method. To this end, the article analyses and evaluates the major trends in the international and national fields ...

  9. Assessment of learning gains in a flipped biochemistry classroom.

    Science.gov (United States)

    Ojennus, Deanna Dahlke

    2016-01-01

    The flipped classroom has become an increasingly popular pedagogical approach to teaching and learning. In this study, learning gains were assessed in a flipped biochemistry course and compared to gains in a traditional lecture. Although measured learning gains were not significantly different between the two courses, student perception of learning gains did differ and indicates a higher level of satisfaction with the flipped lecture format. © 2015 The International Union of Biochemistry and Molecular Biology.

  10. VIRTUAL LABORATORY IN DISTANCE LEARNING SYSTEM

    Directory of Open Access Journals (Sweden)

    Е. Kozlovsky

    2011-11-01

    Full Text Available Questions of designing and a choice of technologies of creation of virtual laboratory for the distance learning system are considered. Distance learning system «Kherson Virtual University» is used as illustration.

  11. Assessing Creative Thinking in Design-Based Learning

    Science.gov (United States)

    Doppelt, Yaron

    2009-01-01

    Infusing creative thinking competence through the design process of authentic projects requires not only changing the teaching methods and learning environment, but also adopting new assessment methods, such as portfolio assessment. The participants in this study were 128 high school pupils who have studied MECHATRONICS from 10th to 12th grades…

  12. Mathematics authentic assessment on statistics learning: the case for student mini projects

    Science.gov (United States)

    Fauziah, D.; Mardiyana; Saputro, D. R. S.

    2018-03-01

    Mathematics authentic assessment is a form of meaningful measurement of student learning outcomes for the sphere of attitude, skill and knowledge in mathematics. The construction of attitude, skill and knowledge achieved through the fulfilment of tasks which involve active and creative role of the students. One type of authentic assessment is student mini projects, started from planning, data collecting, organizing, processing, analysing and presenting the data. The purpose of this research is to learn the process of using authentic assessments on statistics learning which is conducted by teachers and to discuss specifically the use of mini projects to improving students’ learning in the school of Surakarta. This research is an action research, where the data collected through the results of the assessments rubric of student mini projects. The result of data analysis shows that the average score of rubric of student mini projects result is 82 with 96% classical completeness. This study shows that the application of authentic assessment can improve students’ mathematics learning outcomes. Findings showed that teachers and students participate actively during teaching and learning process, both inside and outside of the school. Student mini projects also provide opportunities to interact with other people in the real context while collecting information and giving presentation to the community. Additionally, students are able to exceed more on the process of statistics learning using authentic assessment.

  13. Teach Them How They Learn: Learning Styles and Information Systems Education

    Science.gov (United States)

    Cegielski, Casey G.; Hazen, Benjamin T.; Rainer, R. Kelly

    2011-01-01

    The rich, interdisciplinary tradition of learning styles is markedly absent in information systems-related research. The current study applies the framework of learning styles to a common educational component of many of today's information systems curricula--object-oriented systems development--in an effort to answer the question as to whether…

  14. Workplace-based assessment and students' approaches to learning: a qualitative inquiry.

    Science.gov (United States)

    Al-Kadri, Hanan M; Al-Kadi, Mohammed T; Van Der Vleuten, Cees P M

    2013-01-01

    We have performed this research to assess the effect of work-place based assessment (WBA) practice on medical students' learning approaches. The research was conducted at the King Saud bin Abdulaziz University for Health Sciences, College of Medicine from 1 March to 31 July 2012. We conducted a qualitative, phenomenological research utilizing semi-structured individual interviews with medical students exposed to WBA. The audio-taped interviews were transcribed verbatim, analyzed, and themes were identified. We preformed investigators' triangulation, member checking with clinical supervisors and we triangulated the data with a similar research performed prior to the implementation of WBA. WBA results in variable learning approaches. Based on several affecting factors; clinical supervisors, faculty-given feedback, and assessment function, students may swing between surface, deep and effort and achievement learning approaches. Students' and supervisors' orientations on the process of WBA, utilization of peer feedback and formative rather than summative assessment facilitate successful implementation of WBA and lead to students' deeper approaches to learning. Interestingly, students and their supervisors have contradicting perceptions to WBA. A change in culture to unify students' and supervisors' perceptions of WBA, more accommodation of formative assessment, and feedback may result in students' deeper approach to learning.

  15. A Mobile Gamification Learning System for Improving the Learning Motivation and Achievements

    Science.gov (United States)

    Su, C-H.; Cheng, C-H.

    2015-01-01

    This paper aims to investigate how a gamified learning approach influences science learning, achievement and motivation, through a context-aware mobile learning environment, and explains the effects on motivation and student learning. A series of gamified learning activities, based on MGLS (Mobile Gamification Learning System), was developed and…

  16. Assessment, Student Learning and Classroom Practice: A Review

    Science.gov (United States)

    Amua-Sekyi, Ekua Tekyiwa

    2016-01-01

    Assessment in its various forms has always been a central part of educational practice. Evidence gleaned from the empirical literature suggests that assessment, especially high stakes external assessment has effect on how teachers teach and consequently, how students learn. Through focus group discussions, this paper draws upon the experiences of…

  17. E-assessment for learning? Exploring the potential of computer-marked assessment and computer-generated feedback, from short-answer questions to assessment analytics.

    OpenAIRE

    Jordan, Sally

    2014-01-01

    This submission draws on research from twelve publications, all addressing some aspect of the broad research question: “Can interactive computer-marked assessment improve the effectiveness of assessment for learning?” \\ud \\ud The work starts from a consideration of the conditions under which assessment of any sort is predicted to best support learning, and reviews the broader literature of assessment and feedback before considering the potential of computer-based assessment, focusing on relat...

  18. An analysis of mathematical connection ability based on student learning style on visualization auditory kinesthetic (VAK) learning model with self-assessment

    Science.gov (United States)

    Apipah, S.; Kartono; Isnarto

    2018-03-01

    This research aims to analyze the quality of VAK learning with self-assessment toward the ability of mathematical connection performed by students and to analyze students’ mathematical connection ability based on learning styles in VAK learning model with self-assessment. This research applies mixed method type with concurrent embedded design. The subject of this research consists of VIII grade students from State Junior High School 9 Semarang who apply visual learning style, auditory learning style, and kinesthetic learning style. The data of learning style is collected by using questionnaires, the data of mathematical connection ability is collected by performing tests, and the data of self-assessment is collected by using assessment sheets. The quality of learning is qualitatively valued from planning stage, realization stage, and valuation stage. The result of mathematical connection ability test is analyzed quantitatively by mean test, conducting completeness test, mean differentiation test, and mean proportional differentiation test. The result of the research shows that VAK learning model results in well-qualified learning regarded from qualitative and quantitative sides. Students with visual learning style perform the highest mathematical connection ability, students with kinesthetic learning style perform average mathematical connection ability, and students with auditory learning style perform the lowest mathematical connection ability.

  19. Assessing reflective thinking and approaches to learning.

    Science.gov (United States)

    Dunn, Louise; Musolino, Gina M

    2011-01-01

    Facilitation of reflective practice is critical for the ongoing demands of health care practitioners. Reflective thinking concepts, grounded in the work of Dewey and Schön, emphasize critical reflection to promote transformation in beliefs and learning necessary for reflective practice. The Reflective Thinking Questionnaire (QRT) and Revised Study Process Questionnaire (RSPQ-2F) assess skill aspects of professional reasoning, with promise for measuring changes over time. The purpose of this study was to examine the reliability and responsiveness and the model validity of reflective thinking and approaches to learning measures for U.S. health professions students enrolled in entry-level occupational (MOT) and physical therapy (DPT) programs. This measurement study addressed reliability and responsiveness of two measures, the QRT and RSPQ-2F, for graduate health professionals. A convenience sample of 125 MOT and DPT students participated in the two-measure, test-retest investigation, with electronic data collection. Outcomes support the stability of the four-scale QRT (ICC 0.63 to 0.82) and the two-scale RSPQ-2F (ICC 0.91 and 0.87). Descriptive data supporting responsiveness are presented. With noted limitations, the results support the use of the QRT and RSPQ-2F measures to assess changes in reflective thinking and approaches to learning. Measurement of these learning outcomes furthers our understanding and knowledge about instructional strategies, development of professional reasoning, and fostering of self-directed learning within MOT and DPT programs.

  20. Assessing the Impact of IT Competency on Organizational Learning Capability of Indonesian Manufacturing Firms

    Directory of Open Access Journals (Sweden)

    Alizar Hasan

    2010-01-01

    Full Text Available This paper attempt to assessing the impact of IT competency on organizational learning capability by using the measurement scale that have been developed by Tippins et al. and Gomes et al. These studies cover a sample of 192 manufacturing firms. IT competencies are classified into three dimensions: IT knowledge, IT operations, and IT objects, and organizational learning capability are classified into four dimensions: Managerial commitment, System perspec-tive, Openness and experimentation, and Knowledge transfer and integration. The result of factor analysis on IT competency and Organizational learning capability show that all items have high loading only on a single factor with ranging from .60 to .84. The findings revealed that IT competency positively and significantly influences the organizational learning capability of Indonesian manufacturing firms.

  1. Teaching strategic and systems design to facilitate collaboration and learning

    Directory of Open Access Journals (Sweden)

    Andre Liem

    2012-08-01

    Full Text Available As strategic and systems approaches are becoming more relevant in design education when it concerns collaborative projects with the industry, an explicit systems design methodology is needed to structure collaboration and learning among students, educators, and the Norwegian industry. This article describes three alternative studio projects for teaching strategic and systems design with the involvement of Norwegian companies. Besides this, the approaches and fundamental theories of design thinking and reasoning, which are characteristic of these projects, were reflected against each other. In the undergraduate (year 2 systems thinking design studio, the challenge was to train students to understand how system elements are rationally interconnected with their suprasystems and subsystems based on usability and man-machine interactions. In addition to the challenges pertaining to systems thinking, collabora­tive learning and designing based on a mentorship learning concept were introduced in the Vertical Design Studio, which involved second- and third-year students. Concerning the postgraduate fourth-year strategic design projects with the industry, the challenge was to involve Norwegian companies in product planning and goal finding as well as in innovation and design activities and to assess how supportive and receptive these companies were towards radical innovation/diversification. The analysis of completed projects shows that the Norwegian industry is supportive of strategic design but is rather conservative and risk averse when it concerns accepting and implementing radical innovation initiatives. Referring to user-centred and context-based innovation, this article also supports the implementation of a systems approach to facilitate social and hierarchical learning across the second-year systems design studio, second- and third-year vertical studios, and fourth-year strategic design studio.

  2. Deep assessment: an exploratory study of game-based, multimodal learning in Epidemic

    Directory of Open Access Journals (Sweden)

    Jennifer Jenson

    2016-03-01

    Full Text Available n this study, we examine what and how intermediate age students learned from playing in a health-focused game-based digital learning environment, Epidemic. Epidemic is a playful interactive environment designed to deliver factual knowledge, invite critical understanding, and encourage effective self-care practices in dealing with viral contagious diseases, using a social networking interface to integrate both serious games and game-like multimodal design projects. Epidemic invites a playful approach to its deadly serious core concern – communicable disease – in order to see what happens when students are encouraged to critically approach information from multiple or contradictory perspectives. To identify what participants learned while interacting within Epidemic, we deployed two instructional and assessment models, noting the differences each instructional approach could potentially make, and what approach to assessment might help us evaluate game-based learning. We found that each approach provided importantly different perspectives on what and how students learned, and on the very meaning of student success. Recognizing that traditional assessment tools based in print-cultural literacy may prove increasingly ill-suited for assessing emergent multimodal literacies in game-based learning environments, this study seeks to contribute to a growing body of work on the development of novel assessments for learning.

  3. E-learning systems intelligent techniques for personalization

    CERN Document Server

    Klašnja-Milićević, Aleksandra; Ivanović, Mirjana; Budimac, Zoran; Jain, Lakhmi C

    2017-01-01

    This monograph provides a comprehensive research review of intelligent techniques for personalisation of e-learning systems. Special emphasis is given to intelligent tutoring systems as a particular class of e-learning systems, which support and improve the learning and teaching of domain-specific knowledge. A new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system is presented. This approach incorporates a recommender system based on collaborative tagging techniques that adapts to the interests and level of students' knowledge. These innovations are important contributions of this monograph. Theoretical models and techniques are illustrated on a real personalised tutoring system for teaching Java programming language. The monograph is directed to, students and researchers interested in the e-learning and personalization techniques. .

  4. Outcomes-Based Assessment and Learning: Trialling Change in a Postgraduate Civil Engineering Course

    Science.gov (United States)

    El-Maaddawy, Tamer; Deneen, Christopher

    2017-01-01

    This paper aims to demonstrate how assessment tasks can function within an outcomes-based learning framework to evaluate student attainment of learning outcomes. An outcomes-based learning framework designed to integrate teaching, learning, and assessment activities was developed and implemented in a civil engineering master-level course. The…

  5. Performance assessment in algebra learning process

    Science.gov (United States)

    Lestariani, Ida; Sujadi, Imam; Pramudya, Ikrar

    2017-12-01

    The purpose of research to describe the implementation of performance assessment on algebra learning process. The subject in this research is math educator of SMAN 1 Ngawi class X. This research includes descriptive qualitative research type. Techniques of data collecting are done by observation method, interview, and documentation. Data analysis technique is done by data reduction, data presentation, and conclusion. The results showed any indication that the steps taken by the educator in applying the performance assessment are 1) preparing individual worksheets and group worksheets, 2) preparing rubric assessments for independent worksheets and groups and 3) making performance assessments rubric to learners’ performance results with individual or groups task.

  6. Assisted Learning Systems in e-Education

    Directory of Open Access Journals (Sweden)

    Gabriel ZAMFIR

    2014-01-01

    Full Text Available Human society, analyzed as a learning environment, presumes different languages in order to know, to understand or to develop it. This statement results as a default application of the cog-nitive domain in the educational scientific research, and it highlights a key feature: each essen-tial discovery was available for the entire language compatible society. E-Society is constructed as an application of E-Science in social services, and it is going to reveal a learning system for each application of the information technology developed for a compatible society. This article is proposed as a conceptual one focused on scientific research and the interrelationship be-tween the building blocks of research, defined as an engine for any designed learning system applied in the cognitive domain. In this approach, educational research become a learning sys-tem in e-Education. The purpose of this analysis is to configure the teacher assisted learning system and to expose its main principles which could be integrated in standard assisted instruc-tion applications, available in e-Classroom, supporting the design of specific didactic activities.

  7. Idea Sharing: Assessment in a Cooperative Learning Class

    Science.gov (United States)

    Tamah, Siti Mina

    2014-01-01

    With the trend to incorporate cooperative learning in the classroom practices, another mode of assessing students is required. In other words, how can a teacher enforce Individual Accountability and Positive Interdependence in assessing his or her students? This paper is intended to provide a model of assessing students who are accustomed to…

  8. Assessing Student Behaviors and Motivation for Actively Learning Biology

    Science.gov (United States)

    Moore, Michael Edward

    Vision and Change states that one of the major changes in the way we design biology courses should be a switch in approach from teacher-centered learning to student-centered learning and identifies active learning as a recommended methods. Studies show performance benefits for students taking courses that use active learning. What is unknown is why active learning is such an effective instructional tool and the limits of this instructional method’s ability to influence performance. This dissertation builds a case in three steps for why active learning is an effective instructional tool. In step one, I assessed the influence of different types of active learning (clickers, group activities, and whole class discussions) on student engagement behavior in one semester of two different introductory biology courses and found that active learning positively influenced student engagement behavior significantly more than lecture. For step two, I examined over four semesters whether student engagement behavior was a predictor of performance and found participation (engagement behavior) in the online (video watching) and in-class course activities (clicker participation) that I measure were significant predictors of performance. In the third, I assessed whether certain active learning satisfied the psychological needs that lead to students’ intrinsic motivation to participate in those activities when compared over two semesters and across two different institutions of higher learning. Findings from this last step show us that student’s perceptions of autonomy, competency, and relatedness in doing various types of active learning are significantly higher than lecture and consistent across two institutions of higher learning. Lastly, I tie everything together, discuss implications of the research, and address future directions for research on biology student motivation and behavior.

  9. The Impact of a Flexible Assessment System on Students' Motivation, Performance and Attitude

    Science.gov (United States)

    Pacharn, Parunchana; Bay, Darlene; Felton, Sandra

    2013-01-01

    We examine a flexible assessment system that allows students to determine the weights allocated to each course component and to re-allocate the weights in response to achieved scores. The flexibility is intended to encourage students' participation in the learning process, thereby promoting self-regulated learning skills. We compare this…

  10. Personalized E- learning System Based on Intelligent Agent

    Science.gov (United States)

    Duo, Sun; Ying, Zhou Cai

    Lack of personalized learning is the key shortcoming of traditional e-Learning system. This paper analyzes the personal characters in e-Learning activity. In order to meet the personalized e-learning, a personalized e-learning system based on intelligent agent was proposed and realized in the paper. The structure of system, work process, the design of intelligent agent and the realization of intelligent agent were introduced in the paper. After the test use of the system by certain network school, we found that the system could improve the learner's initiative participation, which can provide learners with personalized knowledge service. Thus, we thought it might be a practical solution to realize self- learning and self-promotion in the lifelong education age.

  11. A Simple and Effective Remedial Learning System with a Fuzzy Expert System

    Science.gov (United States)

    Lin, C.-C.; Guo, K.-H.; Lin, Y.-C.

    2016-01-01

    This study aims at implementing a simple and effective remedial learning system. Based on fuzzy inference, a remedial learning material selection system is proposed for a digital logic course. Two learning concepts of the course have been used in the proposed system: number systems and combinational logic. We conducted an experiment to validate…

  12. Motivational Factors Affecting the Integration of a Learning Management System by Faculty

    Directory of Open Access Journals (Sweden)

    Cynthia Gautreau

    2011-01-01

    Full Text Available Online courses taught using a learning management system are common in higher education. Teaching online requires a new set of skills, knowledge, and professional growth. Faculty development programs often overlook factors that promote or inhibit the use of technologies among professors. This study identified the motivation factors that faculty consider relevant to their personal decision to adopt a learning management system. A needs assessment evaluation methodology was applied to investigate two research questions. The first question analyzed the demographics of the participants in this study including gender, age, tenure status, department, and years of experience using a technology and using an LMS. The second research question investigated the intrinsic and extrinsic factors that motivate faculty to adopt a learning management system in their instruction. Participants (N = 42 were tenured and tenure track faculty instructing at a four-year public university in California.

  13. Strategies for service-learning assessment in dental hygiene education.

    Science.gov (United States)

    Burch, Sharlee

    2013-10-01

    A large body of literature exists on the instructional pedagogy known as service-learning. Service-learning is a teaching and learning approach characterized by the dental hygiene student's practical application of academic studies and occurs within a community setting, to the benefit of both the student and community. Dental hygiene educators use service-learning to enhance student knowledge and application of oral health curriculum. This manuscript reports on the importance of service-learning assessment to the National Dental Hygiene Research Agenda as well as the future of the profession of dental hygiene and the successful strategies in service-learning evaluation available for utilization by dental hygiene educators.

  14. Exploring nursing e-learning systems success based on information system success model.

    Science.gov (United States)

    Chang, Hui-Chuan; Liu, Chung-Feng; Hwang, Hsin-Ginn

    2011-12-01

    E-learning is thought of as an innovative approach to enhance nurses' care service knowledge. Extensive research has provided rich information toward system development, courses design, and nurses' satisfaction with an e-learning system. However, a comprehensive view in understanding nursing e-learning system success is an important but less focused-on topic. The purpose of this research was to explore net benefits of nursing e-learning systems based on the updated DeLone and McLean's Information System Success Model. The study used a self-administered questionnaire to collected 208 valid nurses' responses from 21 of Taiwan's medium- and large-scale hospitals that have implemented nursing e-learning systems. The result confirms that the model is sufficient to explore the nurses' use of e-learning systems in terms of intention to use, user satisfaction, and net benefits. However, while the three exogenous quality factors (system quality, information quality, and service quality) were all found to be critical factors affecting user satisfaction, only information quality showed a direct effect on the intention to use. This study provides useful insights for evaluating nursing e-learning system qualities as well as an understanding of nurses' intentions and satisfaction related to performance benefits.

  15. Using Self-Assessment to Support Individualized Learning

    Science.gov (United States)

    MacDonald, Betty

    2012-01-01

    Self-assessment is frequently used to enable students to "reflect" on a learning experience. Often only the person involved in the "reflection" knows the criteria used to underpin the process. Here the author explains how, when the self-assessment is given some structure some tangible benefits can be observed. While the approach might not be a…

  16. Contract Learning as an Approach to Individualizing EFL Education in the Context of Assessment for Learning

    Science.gov (United States)

    Zandi, Hamed; Kaivanpanah, Shiva; Alavi, Sayyed Mohammad

    2015-01-01

    Contract learning as an approach to individualizing education in the context of assessment for learning is relatively underexplored in English as a Foreign Language instruction. The present study used a mixed-methods design to investigate its efficacy to provide feedback to students and improve self-directed learning. Furthermore, it studied…

  17. The Development of the Assessment for Learning Model of Mathematics for Rajamangala University of Technology Rattanakosin

    Directory of Open Access Journals (Sweden)

    Wannaree Pansiri

    2016-12-01

    Full Text Available The objectives of this research were 1 to develop the assessment for learning model of Mathematics for Rajamangala University 2 to study the effectivness of assessment for learning model of Mathematics for Rajamagala University of Technology Rattanakosin. The research target group consisted of 72 students from 3 classes and 3 General Mathematics teachers. The data was gathered from observation, worksheets, achievement test and skill of assessment for learning, questionnaire of the assessment for learning model of Mathematics. The statistics that used in this research were Frequency, Percentage, Mean, Standard Deviation, and Growth Score. The results of this research were 1. The assessment of learning model of Mathematics for Rajamangala University of Technology Rattanakosin consisted of 3 components ; 1. Pre-assessment which consisted of 4 activities ; a Preparation b Teacher development c Design and creation the assessment plan and instrument for assessment and d Creation of the learning experience plan 2. The component for assessment process consisted of 4 steps which were a Identifying the learning objectives and criteria b Identifying the learning experience plan and assessment follow the plan c Learning reflection and giving feedback and d Learner development based on information and improve instruction and 3. Giving feedback component. 2. The effective of assessment for learning model found that most students had good score in concentration, honest, responsibilities, group work, task presentation, worksheets, and doing exercises. The development knowledge of learning and knowledge and skill of assessment for learning of lecturers were fairly good. The opinion to the assessment for learning of learners and assessment for learning model of Mathematics of teachers found that was in a good level.

  18. Developing an Intelligent Diagnosis and Assessment E-Learning Tool for Introductory Programming

    Science.gov (United States)

    Huang, Chenn-Jung; Chen, Chun-Hua; Luo, Yun-Cheng; Chen, Hong-Xin; Chuang, Yi-Ta

    2008-01-01

    Recently, a lot of open source e-learning platforms have been offered for free in the Internet. We thus incorporate the intelligent diagnosis and assessment tool into an open software e-learning platform developed for programming language courses, wherein the proposed learning diagnosis assessment tools based on text mining and machine learning…

  19. STUDENT SATISFACTION PROCESS IN VIRTUAL LEARNING SYSTEM:Considerations Based In Information And Service Quality from Brazil’s Experience

    Directory of Open Access Journals (Sweden)

    Fábio Nazareno MACHADO-DA-SILVA

    2014-07-01

    Full Text Available Distance learning has undergone great changes, especially since the advent of the Internet and communication and information technology. Questions have been asked following the growth of this mode of instructional activity. Researchers have investigated methods to assess the benefits of e-learning from a number of perspectives. This survey assesses the associations among the system quality, information quality, and service quality on student satisfaction and use of systems in virtual learning environments using the e-learning success model adapted by Holsapple and Lee-Post from the Delone and McLean (1992, 2003 model as a theoretical basis. The survey was carried out by means of an online program offered to 291 students from public and private institutions from several regions of Brazil. Confirmatory Factor Analysis and Structural Equation Modeling were used for data analysis in order to understand the student satisfaction process in virtual learning system. Findings show that variations in system quality, information quality, and service quality influence the use of the system, and the User Satisfaction construct had 89% of variance explained by Information Quality and Service Quality. Many of the benefits of distance learning programs are related to students’ satisfaction and the intensity with which they make use of the learning system. With awareness of the indicators that are antecedents of these variables, education executives can plan investments that meet the most significant demands and use the information to deal with one of the major problems in distance learning: the dropout rate. Future researches should study this subject longitudinally.

  20. The MORPG-Based Learning System for Multiple Courses: A Case Study on Computer Science Curriculum

    Science.gov (United States)

    Liu, Kuo-Yu

    2015-01-01

    This study aimed at developing a Multiplayer Online Role Playing Game-based (MORPG) Learning system which enabled instructors to construct a game scenario and manage sharable and reusable learning content for multiple courses. It used the curriculum of "Introduction to Computer Science" as a study case to assess students' learning…

  1. Using an improved association rules mining optimization algorithm in web-based mobile-learning system

    Science.gov (United States)

    Huang, Yin; Chen, Jianhua; Xiong, Shaojun

    2009-07-01

    Mobile-Learning (M-learning) makes many learners get the advantages of both traditional learning and E-learning. Currently, Web-based Mobile-Learning Systems have created many new ways and defined new relationships between educators and learners. Association rule mining is one of the most important fields in data mining and knowledge discovery in databases. Rules explosion is a serious problem which causes great concerns, as conventional mining algorithms often produce too many rules for decision makers to digest. Since Web-based Mobile-Learning System collects vast amounts of student profile data, data mining and knowledge discovery techniques can be applied to find interesting relationships between attributes of learners, assessments, the solution strategies adopted by learners and so on. Therefore ,this paper focus on a new data-mining algorithm, combined with the advantages of genetic algorithm and simulated annealing algorithm , called ARGSA(Association rules based on an improved Genetic Simulated Annealing Algorithm), to mine the association rules. This paper first takes advantage of the Parallel Genetic Algorithm and Simulated Algorithm designed specifically for discovering association rules. Moreover, the analysis and experiment are also made to show the proposed method is superior to the Apriori algorithm in this Mobile-Learning system.

  2. Recommender Systems in Technology Enhanced Learning

    NARCIS (Netherlands)

    Manouselis, Nikos; Drachsler, Hendrik; Verbert, Katrien; Santos, Olga

    2010-01-01

    Manouselis, N., Drachsler, H., Verbert, K., & Santos, C. S. (Eds.) (2010). Recommender System in Technology Enhanced Learning. Elsevier Procedia Computer Science: Volume 1, Issue 2. Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL). September, 29-30,

  3. Reconceptualizing Learning as a Dynamical System.

    Science.gov (United States)

    Ennis, Catherine D.

    1992-01-01

    Dynamical systems theory can increase our understanding of the constantly evolving learning process. Current research using experimental and interpretive paradigms focuses on describing the attractors and constraints stabilizing the educational process. Dynamical systems theory focuses attention on critical junctures in the learning process as…

  4. Framework for Designing Context-Aware Learning Systems

    Science.gov (United States)

    Tortorella, Richard A. W.; Kinshuk; Chen, Nian-Shing

    2018-01-01

    Today people learn in many diverse locations and contexts, beyond the confines of classical brick and mortar classrooms. This trend is ever increasing, progressing hand-in-hand with the progress of technology. Context-aware learning systems are systems which adapt to the learner's context, providing tailored learning for a particular learning…

  5. A Machine Learning Recommender System to Tailor Preference Assessments to Enhance Person-Centered Care Among Nursing Home Residents.

    Science.gov (United States)

    Gannod, Gerald C; Abbott, Katherine M; Van Haitsma, Kimberly; Martindale, Nathan; Heppner, Alexandra

    2018-05-21

    Nursing homes (NHs) using the Preferences for Everyday Living Inventory (PELI-NH) to assess important preferences and provide person-centered care find the number of items (72) to be a barrier to using the assessment. Using a sample of n = 255 NH resident responses to the PELI-NH, we used the 16 preference items from the MDS 3.0 Section F to develop a machine learning recommender system to identify additional PELI-NH items that may be important to specific residents. Much like the Netflix recommender system, our system is based on the concept of collaborative filtering whereby insights and predictions (e.g., filters) are created using the interests and preferences of many users. The algorithm identifies multiple sets of "you might also like" patterns called association rules, based upon responses to the 16 MDS preferences that recommends an additional set of preferences with a high likelihood of being important to a specific resident. In the evaluation of the combined apriori and logistic regression approach, we obtained a high recall performance (i.e., the ratio of correctly predicted preferences compared with all predicted preferences and nonpreferences) and high precision (i.e., the ratio of correctly predicted rules with respect to the rules predicted to be true) of 80.2% and 79.2%, respectively. The recommender system successfully provides guidance on how to best tailor the preference items asked of residents and can support preference capture in busy clinical environments, contributing to the feasibility of delivering person-centered care.

  6. Digital case-based learning system in school.

    Science.gov (United States)

    Gu, Peipei; Guo, Jiayang

    2017-01-01

    With the continuing growth of multi-media learning resources, it is important to offer methods helping learners to explore and acquire relevant learning information effectively. As services that organize multi-media learning materials together to support programming learning, the digital case-based learning system is needed. In order to create a case-oriented e-learning system, this paper concentrates on the digital case study of multi-media resources and learning processes with an integrated framework. An integration of multi-media resources, testing and learning strategies recommendation as the learning unit is proposed in the digital case-based learning framework. The learning mechanism of learning guidance, multi-media materials learning and testing feedback is supported in our project. An improved personalized genetic algorithm which incorporates preference information and usage degree into the crossover and mutation process is proposed to assemble the personalized test sheet for each learner. A learning strategies recommendation solution is proposed to recommend learning strategies for learners to help them to learn. The experiments are conducted to prove that the proposed approaches are capable of constructing personalized sheets and the effectiveness of the framework.

  7. Digital case-based learning system in school.

    Directory of Open Access Journals (Sweden)

    Peipei Gu

    Full Text Available With the continuing growth of multi-media learning resources, it is important to offer methods helping learners to explore and acquire relevant learning information effectively. As services that organize multi-media learning materials together to support programming learning, the digital case-based learning system is needed. In order to create a case-oriented e-learning system, this paper concentrates on the digital case study of multi-media resources and learning processes with an integrated framework. An integration of multi-media resources, testing and learning strategies recommendation as the learning unit is proposed in the digital case-based learning framework. The learning mechanism of learning guidance, multi-media materials learning and testing feedback is supported in our project. An improved personalized genetic algorithm which incorporates preference information and usage degree into the crossover and mutation process is proposed to assemble the personalized test sheet for each learner. A learning strategies recommendation solution is proposed to recommend learning strategies for learners to help them to learn. The experiments are conducted to prove that the proposed approaches are capable of constructing personalized sheets and the effectiveness of the framework.

  8. Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture.

    Science.gov (United States)

    Chen, C L Philip; Liu, Zhulin

    2018-01-01

    Broad Learning System (BLS) that aims to offer an alternative way of learning in deep structure is proposed in this paper. Deep structure and learning suffer from a time-consuming training process because of a large number of connecting parameters in filters and layers. Moreover, it encounters a complete retraining process if the structure is not sufficient to model the system. The BLS is established in the form of a flat network, where the original inputs are transferred and placed as "mapped features" in feature nodes and the structure is expanded in wide sense in the "enhancement nodes." The incremental learning algorithms are developed for fast remodeling in broad expansion without a retraining process if the network deems to be expanded. Two incremental learning algorithms are given for both the increment of the feature nodes (or filters in deep structure) and the increment of the enhancement nodes. The designed model and algorithms are very versatile for selecting a model rapidly. In addition, another incremental learning is developed for a system that has been modeled encounters a new incoming input. Specifically, the system can be remodeled in an incremental way without the entire retraining from the beginning. Satisfactory result for model reduction using singular value decomposition is conducted to simplify the final structure. Compared with existing deep neural networks, experimental results on the Modified National Institute of Standards and Technology database and NYU NORB object recognition dataset benchmark data demonstrate the effectiveness of the proposed BLS.

  9. Adaptive e-learning system using ontology

    OpenAIRE

    Yarandi, Maryam; Tawil, Abdel-Rahman; Jahankhani, Hossein

    2011-01-01

    This paper proposes an innovative ontological approach to design a personalised e-learning system which creates a tailored workflow for individual learner. Moreover, the learning content and sequencing logic is separated into content model and pedagogical model to increase the reusability and flexibility of the system.

  10. Framework for Building an Effective Student Assessment System: READ/SABER Working Paper

    Science.gov (United States)

    Clarke, Marguerite

    2011-01-01

    The purpose of this paper is to help countries understand some of the "key principles and characteristics of an effective student assessment system". The focus is on assessment of student learning and achievement at the K-12 level. The paper extracts principles and guidelines from countries' experiences, professional testing standards,…

  11. Contradictory Explorative Assessment. Multimodal Teacher/Student Interaction in Scandinavian Digital Learning Environments

    Science.gov (United States)

    Kjällander, Susanne

    2018-01-01

    Assessment in the much-discussed digital divide in Scandinavian technologically advanced schools, is the study object of this article. Interaction is studied to understand assessment; and to see how assessment can be didactically designed to recognise students' learning. With a multimodal, design theoretical perspective on learning teachers' and…

  12. Component-Based Approach in Learning Management System Development

    Science.gov (United States)

    Zaitseva, Larisa; Bule, Jekaterina; Makarov, Sergey

    2013-01-01

    The paper describes component-based approach (CBA) for learning management system development. Learning object as components of e-learning courses and their metadata is considered. The architecture of learning management system based on CBA being developed in Riga Technical University, namely its architecture, elements and possibilities are…

  13. Evaluation Criterion for Quality Assessment of E-Learning Content

    Science.gov (United States)

    Al-Alwani, Abdulkareem

    2014-01-01

    Research trends related to e-learning systems are oriented towards increasing the efficiency and capacity of the systems, thus they reflect a large variance in performance when considering content conformity and quality standards. The Framework related to standardisation of digital content for e-learning systems is likely to play a significant…

  14. The Office Software Learning and Examination System Design Based on Fragmented Learning Idea

    Directory of Open Access Journals (Sweden)

    Xu Ling

    2016-01-01

    Full Text Available Fragmented learning is that through the segmentation of learning content or learning time, make learners can use the fragmented time for learning fragmentated content, have the characteristics of time flexibility, learning targeted and high learning efficiency. Based on the fragmented learning ideas, combined with the teaching idea of micro class and interactive teaching, comprehensive utilization of flash animation design software, .NET development platform, VSTO technology, multimedia development technology and so on, design and develop a system integrated with learning, practice and examination of the Office software, which is not only conducive to the effective and personalized learning of students, but also conducive to the understanding the students’ situation of teachers, and liberate teachers from the heavy labor of mechanical, focus on promoting the formation of students’ knowledge system.

  15. E-Learning Systems, Environments and Approaches

    OpenAIRE

    Isaias, P.; Spector, J.M.; Ifenthaler, D.; Sampson, D.G.

    2015-01-01

    The volume consists of twenty-five chapters selected from among peer-reviewed papers presented at the CELDA (Cognition and Exploratory Learning in the Digital Age) 2013 Conference held in Fort Worth, Texas, USA, in October 2013 and also from world class scholars in e-learning systems, environments and approaches. The following sub-topics are included: Exploratory Learning Technologies (Part I), e-Learning social web design (Part II), Learner communities through e-Learning implementations (Par...

  16. Application of active learning modalities to achieve medical genetics competencies and their learning outcome assessments

    Directory of Open Access Journals (Sweden)

    Hagiwara N

    2017-12-01

    Full Text Available Nobuko Hagiwara Division of Cardiovascular Medicine, Department of Internal Medicine, School of Medicine, University of California, Davis, CA, USA Abstract: The steadily falling costs of genome sequencing, coupled with the growing number of genetic tests with proven clinical validity, have made the use of genetic testing more common in clinical practice. This development has necessitated nongeneticist physicians, especially primary care physicians, to become more responsible for assessing genetic risks for their patients. Providing undergraduate medical students a solid foundation in genomic medicine, therefore, has become all the more important to ensure the readiness of future physicians in applying genomic medicine to their patient care. In order to further enhance the effectiveness of instructing practical skills in medical genetics, the emphasis of active learning modules in genetics curriculum at medical schools has increased in recent years. This is because of the general acceptance of a better efficacy of active learner-centered pedagogy over passive lecturer-centered pedagogy. However, an objective standard to evaluate students’ skill levels in genomic medicine achieved by active learning is currently missing. Recently, entrustable professional activities (EPAs in genomic medicine have been proposed as a framework for developing physician competencies in genomic medicine. EPAs in genomic medicine provide a convenient guideline for not only developing genomic medicine curriculum but also assessing students’ competency levels in practicing genomic medicine. In this review, the efficacy of different types of active learning modules reported for medical genetics curricula is discussed using EPAs in genomic medicine as a common evaluation standard for modules’ learning outcomes. The utility of the EPAs in genomic medicine for designing active learning modules in undergraduate medical genetics curricula is also discussed. Keywords

  17. Intelligent fractions learning system: implementation

    CSIR Research Space (South Africa)

    Smith, Andrew C

    2011-05-01

    Full Text Available Conference Proceedings Paul Cunningham and Miriam Cunningham (Eds) IIMC International Information Management Corporation, 2011 ISBN: 978-1-905824-24-3 An Intelligent Fractions Learning System: Implementation Andrew Cyrus SMITH1, Teemu H. LAINE2 1CSIR... to fractions. Our aim with the current research project is to extend the existing UFractions learning system to incorporate automatic data capturing. ?Intelligent UFractions? allows a teacher to remotely monitor the children?s progress during...

  18. Learning from a Special Care Dentistry Needs Assessment.

    Science.gov (United States)

    Johnson, Ilona

    2015-05-01

    The General Dental Council recognised special care dentistry (SCD) as a speciality in 2008 and local service reviews have been carried out in order to develop SCD services. A needs assessment was completed to inform the implementation of recommendations from a 2010 review of SCD in Wales. The aim of this paper is to outline the process, findings and learning from the needs assessment and the implications for SCD. A focused needs assessment approach was used. Stakeholder consultations were used to develop a working definition for the needs assessment. Data were collected from existing health and social care sources and analysed using descriptives and geographic information system (GIS) mapping. Data sources for needs assessment were limited. Analysis showed that health conditions were common in the population and increased with age. The majority of people who reported seeing a dentist were seen in general dental practice. Older people with health conditions were less likely to report seeing a dentist. Patients often needed to travel for specialist care services. General dental practice teams have a significant role in caring for SCD patients. Careful planning of specialist care, joint working and enhancing skills across the general practice team will reduce the burden of care and enhance patient safety. Improvements in data for assessment of SCD needs are required to help this process.

  19. Does Formative Assessment Improve Student Learning and Performance in Soil Science?

    Science.gov (United States)

    Kopittke, Peter M.; Wehr, J. Bernhard; Menzies, Neal W.

    2012-01-01

    Soil science students are required to apply knowledge from a range of disciplines to unfamiliar scenarios to solve complex problems. To encourage deep learning (with student performance an indicator of learning), a formative assessment exercise was introduced to a second-year soil science subject. For the formative assessment exercise, students…

  20. Integrating Concept Mapping into Information Systems Education for Meaningful Learning and Assessment

    Science.gov (United States)

    Wei, Wei; Yue, Kwok-Bun

    2017-01-01

    Concept map (CM) is a theoretically sound yet easy to learn tool and can be effectively used to represent knowledge. Even though many disciplines have adopted CM as a teaching and learning tool to improve learning effectiveness, its application in IS curriculum is sparse. Meaningful learning happens when one iteratively integrates new concepts and…

  1. Design and Assessment of a General Science STEM Course with a Blended Learning Approach

    Science.gov (United States)

    Courtier, A. M.; Liu, J. C.; St John, K. K.

    2015-12-01

    Blended learning, a combination of classroom- and computer-mediated teaching and learning, is becoming prominent in higher education, and structured assessment is necessary to determine pedagogical costs and benefits. Assessment of a blended general education science class at James Madison University used a mixed-method causal-comparative design: in Spring 2014, two classes with identical content and similar groups of non-science majors were taught by the same instructor in either blended or full face-to-face formats. The learning experience of 160 students in the two classes was compared based on course and exam grades, classroom observation, and student survey results. Student acquisition of content in both classes was measured with pre-post tests using published concept inventories, and surveys, quizzes, and grade reports in the Blackboard learning management system were additionally used for data collection. Exams were identical between the two sections, and exam questions were validated in advance by a faculty member who teaches other sections of the same course. A course experience questionnaire was administered to measure students' personal experiences in both classes, addressing dimensions of good teaching, clear goals and standards, generic skills, appropriate assessment and workload, and emphasis on independence. Using a STEM classroom observation checklist, two researchers conducted in-class observations for four 75-minute face-to-face meetings with similar content focus in both classes, which allowed assessment of student engagement and participation. We will present details of the course design and research plan, as well as assessment results from both quantitative and qualitative analysis. The preliminary findings include slightly higher average grade distribution and more ready responses to in-class activities in the blended class.

  2. An E-learning System based on Affective Computing

    Science.gov (United States)

    Duo, Sun; Song, Lu Xue

    In recent years, e-learning as a learning system is very popular. But the current e-learning systems cannot instruct students effectively since they do not consider the emotional state in the context of instruction. The emergence of the theory about "Affective computing" can solve this question. It can make the computer's intelligence no longer be a pure cognitive one. In this paper, we construct an emotional intelligent e-learning system based on "Affective computing". A dimensional model is put forward to recognize and analyze the student's emotion state and a virtual teacher's avatar is offered to regulate student's learning psychology with consideration of teaching style based on his personality trait. A "man-to-man" learning environment is built to simulate the traditional classroom's pedagogy in the system.

  3. Teamwork Skills Assessment for Cooperative Learning

    Science.gov (United States)

    Strom, Paris S.; Strom, Robert D.

    2011-01-01

    Teamwork skills are required at work, but teacher efforts in many countries to track achievement within this context have been hindered by lack of assessment tools and input from students. The Teamwork Skills Inventory relies on peer and self-evaluation to establish accountability, identify competencies, and detect learning needs. Twenty-five…

  4. Evaluation of an intelligent open learning system for engineering education

    Directory of Open Access Journals (Sweden)

    Maria Samarakou

    2016-09-01

    Full Text Available In computer-assisted education, the continuous monitoring and assessment of the learner is crucial for the delivery of personalized education to be effective. In this paper, we present a pilot application of the Student Diagnosis, Assistance, Evaluation System based on Artificial Intelligence (StuDiAsE, an open learning system for unattended student diagnosis, assistance and evaluation based on artificial intelligence. The system demonstrated in this paper has been designed with engineering students in mind and is capable of monitoring their comprehension, assessing their prior knowledge, building individual learner profiles, providing personalized assistance and, finally, evaluating a learner's performance both quantitatively and qualitatively by means of artificial intelligence techniques. The architecture and user interface of the system are being exhibited, the results and feedback received from a pilot application of the system within a theoretical engineering course are being demonstrated and the outcomes are being discussed.

  5. Moving towards Virtual Learning Clouds from Traditional Learning: Higher Educational Systems in India

    Directory of Open Access Journals (Sweden)

    Vasanthi Muniasamy

    2014-10-01

    Full Text Available E-Learning has become an increasingly popular learning approach in higher Education institutions due to the rapid growth of Communication and Information Technology (CIT. In recent years, it has been integrated in many university programs and it is one of the new learning trends. But in many Indian Universities did not implement this novel technology in their Educational Systems. E-Learning is not intended to replace the traditional classroom setting, but to provide new opportunities and new virtual environment for interaction and communication between the students and teacher. E-Learning through Cloud is now becoming an interesting and very useful revolutionary technology in the field of education. E-Learning system usually requires huge amount of hardware and software resources. Due to the cost, many universities in India do not want to implement the E-Learning technology in their Educational system and they cannot afford such investments. Cloud Virtual Learning is the only solution for this problem. This paper presents the benefits of using cloud technology in E-Learning system, working mode, Services, Models. And also we discuss the cloud computing educational environment and how higher education may take advantage of clouds not only in terms of cost but also in terms of Security, flexibility, portability, efficiency and reliability. And also we present some educational clouds introduced by popular cloud providers.

  6. Linear System Control Using Stochastic Learning Automata

    Science.gov (United States)

    Ziyad, Nigel; Cox, E. Lucien; Chouikha, Mohamed F.

    1998-01-01

    This paper explains the use of a Stochastic Learning Automata (SLA) to control switching between three systems to produce the desired output response. The SLA learns the optimal choice of the damping ratio for each system to achieve a desired result. We show that the SLA can learn these states for the control of an unknown system with the proper choice of the error criteria. The results of using a single automaton are compared to using multiple automata.

  7. How assessment and reflection relate to more effective learning in adaptive management

    Directory of Open Access Journals (Sweden)

    Harry Biggs

    2011-05-01

    Two other studies in the Kruger National Park, which have examined learning specifically, are also discussed. One of them suggests that in a complex environment, learning necessarily has a dual nature, with each component of seven contrasting pairs of the aspects of learning in partial tension with the other. We use these dualities to further probe assessment, reflection, inter-relatedness and learning in the cases presented. Each contrasting aspect of a ‘learning duality’ turns out to emphasise either assessment or reflection, which reinforces the idea that both are needed to facilitate sufficient learning for successful adaptive management. We hope this analysis can act as a springboard for further study, practice and reflection on these important and often underrated components of adaptive management. Conservation implications: The better understanding of assessment and reflection as being largely separate but complementary actions will assist adaptive management practitioners to give explicit attention to both, and to relate them better to each other.

  8. Modeling student's learning styles in web 2.0 learning systems

    Directory of Open Access Journals (Sweden)

    Ramon Cabada Zatarain Cabada, M. L. Barron Estrada, L. Zepeda Sanchez, Guillermo Sandoval, J.M. Osorio Velazquez, J.E. Urias Barrientos

    2009-12-01

    Full Text Available The identification of the best learning style in an Intelligent Tutoring System must be considered essential as part of thesuccess in the teaching process. In many implementations of automatic classifiers finding the right student learning styler e p r e s e n t s t h e h a r d e s t a s s i g n m e n t . T h e r e a s o n i s t h a t m o s t o f t h e t e c h n i q u e s w o r k u s i n g e x p e r t g r o u p s o r a s e t o fquestionnaires which define how the learning styles are assigned to students. This paper presents a novel approach forautomatic learning styles classification using a Kohonen network. The approach is used by an author tool for buildingIntelligent Tutoring Systems running under a Web 2.0 collaborative learning platform. The tutoring systems together withthe neural network can also be exported to mobile devices. We present different results to the approach working under theauthor tool.

  9. Bayesian network learning for natural hazard assessments

    Science.gov (United States)

    Vogel, Kristin

    2016-04-01

    Even though quite different in occurrence and consequences, from a modelling perspective many natural hazards share similar properties and challenges. Their complex nature as well as lacking knowledge about their driving forces and potential effects make their analysis demanding. On top of the uncertainty about the modelling framework, inaccurate or incomplete event observations and the intrinsic randomness of the natural phenomenon add up to different interacting layers of uncertainty, which require a careful handling. Thus, for reliable natural hazard assessments it is crucial not only to capture and quantify involved uncertainties, but also to express and communicate uncertainties in an intuitive way. Decision-makers, who often find it difficult to deal with uncertainties, might otherwise return to familiar (mostly deterministic) proceedings. In the scope of the DFG research training group „NatRiskChange" we apply the probabilistic framework of Bayesian networks for diverse natural hazard and vulnerability studies. The great potential of Bayesian networks was already shown in previous natural hazard assessments. Treating each model component as random variable, Bayesian networks aim at capturing the joint distribution of all considered variables. Hence, each conditional distribution of interest (e.g. the effect of precautionary measures on damage reduction) can be inferred. The (in-)dependencies between the considered variables can be learned purely data driven or be given by experts. Even a combination of both is possible. By translating the (in-)dependences into a graph structure, Bayesian networks provide direct insights into the workings of the system and allow to learn about the underlying processes. Besides numerous studies on the topic, learning Bayesian networks from real-world data remains challenging. In previous studies, e.g. on earthquake induced ground motion and flood damage assessments, we tackled the problems arising with continuous variables

  10. A service based adaptive U-learning system using UX.

    Science.gov (United States)

    Jeong, Hwa-Young; Yi, Gangman

    2014-01-01

    In recent years, traditional development techniques for e-learning systems have been changing to become more convenient and efficient. One new technology in the development of application systems includes both cloud and ubiquitous computing. Cloud computing can support learning system processes by using services while ubiquitous computing can provide system operation and management via a high performance technical process and network. In the cloud computing environment, a learning service application can provide a business module or process to the user via the internet. This research focuses on providing the learning material and processes of courses by learning units using the services in a ubiquitous computing environment. And we also investigate functions that support users' tailored materials according to their learning style. That is, we analyzed the user's data and their characteristics in accordance with their user experience. We subsequently applied the learning process to fit on their learning performance and preferences. Finally, we demonstrate how the proposed system outperforms learning effects to learners better than existing techniques.

  11. Assessing team effectiveness and affective learning in a datathon.

    Science.gov (United States)

    Piza, Felipe Maia de Toledo; Celi, Leo Anthony; Deliberato, Rodrigo Octavio; Bulgarelli, Lucas; de Carvalho, Fabricio Rodrigues Torres; Filho, Roberto Rabello; de La Hoz, Miguel Angel Armengol; Kesselheim, Jennifer Cohn

    2018-04-01

    Datathons are increasingly organized in the healthcare field. The goal is to assemble people with different backgrounds to work together as a team and engage in clinically relevant research or develop algorithms using health-related datasets. Criteria to assess the return of investment on such events have traditionally included publications produced, patents for prediction, classification, image recognition and other types of software, and start-up companies around the application of machine learning in healthcare. Previous studies have not evaluated whether a datathon can promote affective learning and effective teamwork. Fifty participants of a health datathon event in São Paulo, Brazil at Hospital Israelita Albert Einstein (HIAE) were divided into 8 groups. A survey with 25 questions, using the Affective Learning Scale and Team-Review Questionnaire, was administered to assess team effectiveness and affective learning during the event. Multivariate regression models and Pearson's correlation tests were performed to evaluate the effect of affective learning on teamwork. Majority of the participants were male 76% (37/49); 32% (16/49) were physicians. The mean score for learning (scale from 1 to 10) was 8.38, while that for relevance of the perceived teamwork was 1.20 (scale from 1 to 5; "1" means most relevant). Pearson's correlation between the learning score and perception of teamwork showed moderate association (r = 0.36, p = 0.009). Five learning and 10 teamwork variables were on average positively graded in the event. The final regression model includes all learning and teamwork variables. Effective leadership was strongly correlated with affective learning (β = -0.27, p Effective leadership, team accomplishment, criticism, individual development and creativity were the variables significantly associated with higher levels of affective learning. It is feasible to enhance affective knowledge and the skill to work in a team during a datathon. We

  12. A Novel Approach for Enhancing Lifelong Learning Systems by Using Hybrid Recommender System

    Science.gov (United States)

    Kardan, Ahmad A.; Speily, Omid R. B.; Modaberi, Somayyeh

    2011-01-01

    The majority of current web-based learning systems are closed learning environments where courses and learning materials are fixed, and the only dynamic aspect is the organization of the material that can be adapted to allow a relatively individualized learning environment. In this paper, we propose an evolving web-based learning system which can…

  13. Learning in tele-autonomous systems using Soar

    Science.gov (United States)

    Laird, John E.; Yager, Eric S.; Tuck, Christopher M.; Hucka, Michael

    1989-01-01

    Robo-Soar is a high-level robot arm control system implemented in Soar. Robo-Soar learns to perform simple block manipulation tasks using advice from a human. Following learning, the system is able to perform similar tasks without external guidance. It can also learn to correct its knowledge, using its own problem solving in addition to outside guidance. Robo-Soar corrects its knowledge by accepting advice about relevance of features in its domain, using a unique integration of analytic and empirical learning techniques.

  14. Informed Systems: Enabling Collaborative Evidence Based Organizational Learning

    Directory of Open Access Journals (Sweden)

    Mary M. Somerville

    2015-12-01

    Full Text Available Objective – In response to unrelenting disruptions in academic publishing and higher education ecosystems, the Informed Systems approach supports evidence based professional activities to make decisions and take actions. This conceptual paper presents two core models, Informed Systems Leadership Model and Collaborative Evidence-Based Information Process Model, whereby co-workers learn to make informed decisions by identifying the decisions to be made and the information required for those decisions. This is accomplished through collaborative design and iterative evaluation of workplace systems, relationships, and practices. Over time, increasingly effective and efficient structures and processes for using information to learn further organizational renewal and advance nimble responsiveness amidst dynamically changing circumstances. Methods – The integrated Informed Systems approach to fostering persistent workplace inquiry has its genesis in three theories that together activate and enable robust information usage and organizational learning. The information- and learning-intensive theories of Peter Checkland in England, which advance systems design, stimulate participants’ appreciation during the design process of the potential for using information to learn. Within a co-designed environment, intentional social practices continue workplace learning, described by Christine Bruce in Australia as informed learning enacted through information experiences. In addition, in Japan, Ikujiro Nonaka’s theories foster information exchange processes and knowledge creation activities within and across organizational units. In combination, these theories promote the kind of learning made possible through evolving and transferable capacity to use information to learn through design and usage of collaborative communication systems with associated professional practices. Informed Systems therein draws from three antecedent theories to create an original

  15. Got Game? A Choice-Based Learning Assessment of Data Literacy and Visualization Skills

    Science.gov (United States)

    Chin, Doris B.; Blair, Kristen P.; Schwartz, Daniel L.

    2016-01-01

    In partnership with both formal and informal learning institutions, researchers have been building a suite of online games, called choicelets, to serve as interactive assessments of learning skills, e.g. critical thinking or seeking feedback. Unlike more traditional assessments, which take a retrospective, knowledge-based view of learning,…

  16. Introduction and Assessment of a Blended-Learning Model to Teach Patient Assessment in a Doctor of Pharmacy Program.

    Science.gov (United States)

    Prescott, William Allan; Woodruff, Ashley; Prescott, Gina M; Albanese, Nicole; Bernhardi, Christian; Doloresco, Fred

    2016-12-25

    Objective. To integrate a blended-learning model into a two-course patient assessment sequence in a doctor of pharmacy (PharmD) program and to assess the academic performance and perceptions of enrolled students. Design. A blended-learning model consisting of a flipped classroom format was integrated into a patient assessment (PA) course sequence. Course grades of students in the blended-learning (intervention) and traditional-classroom (control) groups were compared. A survey was administered to assess student perceptions. Assessment. The mean numeric grades of students in the intervention group were higher than those of students in the traditional group (PA1 course: 92.2±3.1 vs 90.0±4.3; and PA2 course: 90.3±4.9 vs 85.8±4.2). Eighty-six percent of the students in the intervention group agreed that the instructional methodologies used in this course facilitated understanding of the material. Conclusion. The blended-learning model was associated with improved academic performance and was well-received by students.

  17. Assessing Preschool Teachers' Practices to Promote Self-Regulated Learning

    Science.gov (United States)

    Adagideli, Fahretdin Hasan; Saraç, Seda; Ader, Engin

    2015-01-01

    Recent research reveals that in preschool years, through pedagogical interventions, preschool teachers can and should promote self-regulated learning. The main aim of this study is to develop a self-report instrument to assess preschool teachers' practices to promote self-regulated learning. A pool of 50 items was recruited through literature…

  18. International Trends in the Implementation of Assessment for Learning: Implications for Policy and Practice

    Science.gov (United States)

    Birenbaum, Menucha; DeLuca, Christopher; Earl, Lorna; Heritage, Margaret; Klenowski, Val; Looney, Anne; Smith, Kari; Timperley, Helen; Volante, Louis; Wyatt-Smith, Claire

    2015-01-01

    This paper discusses the emergence of assessment for learning (AfL) across the globe with particular attention given to Western educational jurisdictions. Authors from Australia, Canada, Ireland, Israel, New Zealand, Norway, and the USA explain the genesis of AfL, its evolution and impact on school systems, and discuss current trends in policy…

  19. Beyond Learning Management Systems: Designing for Interprofessional Knowledge Building in the Health Sciences

    Directory of Open Access Journals (Sweden)

    Leila Lax

    2010-12-01

    Full Text Available This paper examines theoretical, pedagogical, and technological differences between two technologies that have been used in undergraduate interprofessional health sciences at the University of Toronto. One, a learning management system, WebCT 2.0, supports online coursework. The other, a Knowledge Building environment, Knowledge Forum 2.0, supports the collaborative work of knowledge-creating communities. Seventy students from six health science programs (Dentistry, Medicine, Nursing, Occupational Therapy, Pharmacy and Physical Therapy participated online in a 5-day initiative to advance understanding of core principles and professional roles in pain assessment and management. Knowledge Forum functioned well as a learning management system but to preserve comparability between the two technologies its full resources were not brought into play. In this paper we examine three distinctive affordances of Knowledge Forum that have implications for health sciences education: (1 supports for Knowledge Building discourse as distinct from standard threaded discourse; (2 integration of sociocognitive functions as distinct from an assortment of separate tools; and (3 resources for multidimensional social and cognitive assessment that go beyond common participation indicators and instructor-designed quizzes and analyses. We argue that these design characteristics have the potential to open educational pathways that traditional learning management systems leave closed.

  20. Machine learning methods for credibility assessment of interviewees based on posturographic data.

    Science.gov (United States)

    Saripalle, Sashi K; Vemulapalli, Spandana; King, Gregory W; Burgoon, Judee K; Derakhshani, Reza

    2015-01-01

    This paper discusses the advantages of using posturographic signals from force plates for non-invasive credibility assessment. The contributions of our work are two fold: first, the proposed method is highly efficient and non invasive. Second, feasibility for creating an autonomous credibility assessment system using machine-learning algorithms is studied. This study employs an interview paradigm that includes subjects responding with truthful and deceptive intent while their center of pressure (COP) signal is being recorded. Classification models utilizing sets of COP features for deceptive responses are derived and best accuracy of 93.5% for test interval is reported.

  1. A Clustering Methodology of Web Log Data for Learning Management Systems

    Science.gov (United States)

    Valsamidis, Stavros; Kontogiannis, Sotirios; Kazanidis, Ioannis; Theodosiou, Theodosios; Karakos, Alexandros

    2012-01-01

    Learning Management Systems (LMS) collect large amounts of data. Data mining techniques can be applied to analyse their web data log files. The instructors may use this data for assessing and measuring their courses. In this respect, we have proposed a methodology for analysing LMS courses and students' activity. This methodology uses a Markov…

  2. A Studi on High Plant Systems Course with Active Learning in Higher Education Through Outdoor Learning to Increase Student Learning Activities

    OpenAIRE

    Nur Rokhimah Hanik, Anwari Adi Nugroho

    2015-01-01

    Biology learning especially high plant system courses needs to be applied to active learning centered on the student (Active Learning In Higher Education) to enhance the students' learning activities so that the quality of learning for the better. Outdoor Learning is one of the active learning invites students to learn outside of the classroom by exploring the surrounding environment. This research aims to improve the students' learning activities in the course of high plant systems through t...

  3. E-learning teaches attendings "how to" objectively assess pediatric urology trainees' surgery skills for orchiopexy.

    Science.gov (United States)

    Fernandez, Nicolas; Maizels, Max; Farhat, Walid; Smith, Edwin; Liu, Dennis; Chua, Michael; Bhanji, Yasin

    2018-04-01

    Established methods to train pediatric urology surgery by residency training programs require updating in response to administrative changes such as new, reduced trainee duty hours. Therefore, new objective methods must be developed to teach trainees. We approached this need by creating e-learning to teach attendings objective assessment of trainee skills using the Zwisch scale, an established assessment tool. The aim of this study was to identify whether or not e-learning is an appropriate platform for effective teaching of this assessment tool, by assessing inter-rater correlation of assessments made by the attendings after participation in the e-learning. Pediatric orchiopexy was used as the index case. An e-learning tool was created to teach attending surgeons objective assessment of trainees' surgical skills. First, e-learning content was created which showed the assessment method videotape of resident surgery done in the operating room. Next, attendings were enrolled to e-learn this method. Finally, the ability of enrollees to assess resident surgery skill performance was tested. Namely, test video was made showing a trainee performing inguinal orchiopexy. All enrollees viewed the same online videos. Assessments of surgical skills (Zwisch scale) were entered into an online survey. Data were analyzed by intercorrelation coefficient kappa analysis (strong correlation was ICC ≥ 0.7). A total of 11 attendings were enrolled. All accessed the online learning and then made assessments of surgical skills trainees showed on videotapes. The e-learning comprised three modules: 1. "Core concepts," in which users learned the assessment tool methods; 2. "Learn to assess," in which users learned how to assess by watching video clips, explaining the assessment method; and 3. "Test," in which users tested their skill at making assessments by watching video clips and then actively inputting their ratings of surgical and global skills as viewed in the video clips (Figure

  4. A Systems-Level Approach to Building Sustainable Assessment Cultures: Moderation, Quality Task Design and Dependability of Judgement

    Science.gov (United States)

    Colbert, Peta; Wyatt-Smith, Claire; Klenowski, Val

    2012-01-01

    This article considers the conditions that are necessary at system and local levels for teacher assessment to be valid, reliable and rigorous. With sustainable assessment cultures as a goal, the article examines how education systems can support local-level efforts for quality learning and dependable teacher assessment. This is achieved through…

  5. Assessing Students' Learning of Internal Controls: Closing the Loop

    Science.gov (United States)

    Amer, T. S.; Mohrweis, Lawrence C.

    2009-01-01

    This study describes the multifaceted components of an assessment process. The paper explains a novel approach in which an advisory council participated in a "fun," hands-on activity to rank-order learning outcomes. The top ranked learning competency, as identified by the advisory council, was the need for students to gain a better…

  6. Student journals: a means of assessing transformative learning in aging related courses.

    Science.gov (United States)

    Cohen, Adrienne L; Pitman Brown, Pamela; Morales, Justin P

    2015-01-01

    In courses where topics are sensitive or even considered taboo for discussion, it can be difficult to assess students' deeper learning. In addition, incorporating a wide variety of students' values and beliefs, designing instructional strategies and including varied assessments adds to the difficulty. Journal entries or response notebooks can highlight reflection upon others' viewpoints, class readings, and additional materials. These are useful across all educational levels in deep learning and comprehension strategies assessments. Journaling meshes with transformative learning constructs, allowing for critical self-reflection essential to transformation. Qualitative analysis of journals in a death and dying class reveals three transformative themes: awareness of others, questioning, and comfort. Students' journal entries demonstrate transformative learning via communication with others through increased knowledge/exposure to others' experiences and comparing/contrasting others' personal beliefs with their own. Using transformative learning within gerontology and geriatrics education, as well as other disciplined aging-related courses is discussed.

  7. Strategies for Assessing Learning Outcomes in an Online Oceanography Course

    Science.gov (United States)

    Reed, D. L.

    2003-12-01

    All general education courses at the San Jose State University, including those in the sciences, must present a detailed assessment plan of student learning, prior to certification for offering. The assessment plan must state a clear methodology for acquiring data on student achievement of the learning outcomes for the specific course category, as well as demonstrate how students fulfill a strong writing requirement. For example, an online course in oceanography falls into the Area R category, the Earth and Environment, through which a student should be able to demonstrate an understanding of the methods and limits of scientific investigation; distinguish science from pseudo-science; and apply a scientific approach to answer questions about the Earth and environment. The desired learning outcomes are shared with students at the beginning of the course and subsequent assessments on achieving each outcome are embedded in the graded assignments, which include a critical thinking essay, mid-term exam, poster presentation in a symposium-style format, portfolio of web-based work, weekly discussions on an electronic bulletin board, and a take-home final exam, consisting of an original research grant proposal. The diverse nature of the graded assignments assures a comprehensive assessment of student learning from a variety of perspectives, such as quantitative, qualitative, and analytical. Formative assessment is also leveraged into learning opportunities, which students use to identify the acquisition of knowledge. For example, pre-tests are used to highlight preconceptions at the beginning of specific field studies and post-testing encourages students to present the results of small research projects. On a broader scale, the assessment results contradict common misperceptions of online and hybrid courses. Student demand for online courses is very high due to the self-paced nature of learning. Rates of enrollment attrition match those of classroom sections, if students

  8. A Service Based Adaptive U-Learning System Using UX

    Directory of Open Access Journals (Sweden)

    Hwa-Young Jeong

    2014-01-01

    Full Text Available In recent years, traditional development techniques for e-learning systems have been changing to become more convenient and efficient. One new technology in the development of application systems includes both cloud and ubiquitous computing. Cloud computing can support learning system processes by using services while ubiquitous computing can provide system operation and management via a high performance technical process and network. In the cloud computing environment, a learning service application can provide a business module or process to the user via the internet. This research focuses on providing the learning material and processes of courses by learning units using the services in a ubiquitous computing environment. And we also investigate functions that support users’ tailored materials according to their learning style. That is, we analyzed the user’s data and their characteristics in accordance with their user experience. We subsequently applied the learning process to fit on their learning performance and preferences. Finally, we demonstrate how the proposed system outperforms learning effects to learners better than existing techniques.

  9. Approaches to assessment of the level and quality of students' motivation for learning

    Directory of Open Access Journals (Sweden)

    Antonijević Radovan M.

    2017-01-01

    Full Text Available One of the more significant aims of researchers in education is to establish the most effective methods of assessment of students' motivation for learning. As the number of studies on motivation is extremely large, there is also a wide variety of methods and techniques for assessing it. Selfreporting methods are most commonly used, they differ in their theoretical underpinnings, and are used to measure different components of motivation (goals set, intrinsic/extrinsic motivation, attributions, aspirations, etc.. Observation is the method most frequently employed within the behaviorist approach to the assessment of motivation for learning. Proponents of the neuropsychological approach maintain that behavior is determined by complex interactions between biological, cognitive and psychological systems, and their research seeks to establish differences in neural activity linked to motivational processes. Within the phenomenological approach a flexible, holistic methodology for studying motivation is being developed, with an emphasis on the subjective experiences of individuals, on meanings and on the perception of their motivational states. The paper analyzes the characteristics, advantages and limitations of the above-mentioned approaches.

  10. Focusing on first year assessment: Surface or deep approaches to learning?

    Directory of Open Access Journals (Sweden)

    Sharn Donnison

    2012-08-01

    Full Text Available This paper investigates the assessment and learning approaches that some first year students employ to assist them in their transition into their first year of study and extends our previous work on first year student engagement and timely academic support (Penn-Edwards & Donnison, 2011. It is situated within the First Year transition and student engagement literature and specifically speaks to concepts of learning within that body of literature. In this paper we argue that while students are in the transitional period of their studies, the use of assessment as a motivator for learning (surface approach is valid first year pedagogy and forms an initial learning stage in the student’s progress towards being lifelong learners. 

  11. The Design and Analysis of Learning Effects for a Game-based Learning System

    OpenAIRE

    Wernhuar Tarng; Weichian Tsai

    2010-01-01

    The major purpose of this study is to use network and multimedia technologies to build a game-based learning system for junior high school students to apply in learning “World Geography" through the “role-playing" game approaches. This study first investigated the motivation and habits of junior high school students to use the Internet and online games, and then designed a game-based learning system according to situated and game-based learning theories. A teaching experiment was conducted to...

  12. Meeting the requirements of both classroom-based and systemic assessment of mathematics proficiency: The potential of Rasch measurement theory

    Directory of Open Access Journals (Sweden)

    Tim Dunne

    2012-11-01

    Full Text Available The challenges inherent in assessing mathematical proficiency depend on a number of factors, amongst which are an explicit view of what constitutes mathematical proficiency, an understanding of how children learn and the purpose and function of teaching. All of these factors impact on the choice of approach to assessment. In this article we distinguish between two broad types of assessment, classroom-based and systemic assessment. We argue that the process of assessment informed by Rasch measurement theory (RMT can potentially support the demands of both classroom-based and systemic assessment, particularly if a developmental approach to learning is adopted, and an underlying model of developing mathematical proficiency is explicit in the assessment instruments and their supporting material. An example of a mathematics instrument and its analysis which illustrates this approach, is presented. We note that the role of assessment in the 21st century is potentially powerful. This influential role can only be justified if the assessments are of high quality and can be selected to match suitable moments in learning progress and the teaching process. Users of assessment data must have sufficient knowledge and insight to interpret the resulting numbers validly, and have sufficient discernment to make considered educational inferences from the data for teaching and learning responses.

  13. Design Guide for Earth System Science Education: Common Student Learning Objectives and Special Pedagogical Approaches

    Science.gov (United States)

    Baker, D.

    2006-12-01

    As part of the NASA-supported undergraduate Earth System Science Education (ESSE) program, fifty-seven institutions have developed and implemented a wide range of Earth system science (ESS) courses, pedagogies, and evaluation tools. The Teaching, Learning, and Evaluation section of USRA's online ESSE Design Guide showcases these ESS learning environments. This Design Guide section also provides resources for faculty who wish to develop ESS courses. It addresses important course design issues including prior student knowledge and interests, student learning objectives, learning resources, pedagogical approaches, and assessments tied to student learning objectives. The ESSE Design Guide provides links to over 130 ESS course syllabi at introductory, senior, and graduate levels. ESS courses over the past 15 years exhibit common student learning objectives and unique pedagogical approaches. From analysis of ESS course syllabi, seven common student learning objectives emerged: 1) demonstrate systems thinking, 2) develop an ESS knowledge base, 3) apply ESS to the human dimension, 4) expand and apply analytical skills, 5) improve critical thinking skills, 6) build professional/career skills, and 7) acquire an enjoyment and appreciation for science. To meet these objectives, ESSE often requires different ways of teaching than in traditional scientific disciplines. This presentation will highlight some especially successful pedagogical approaches for creating positive and engaging ESS learning environments.

  14. Developing and Assessing Teachers' Knowledge of Game-Based Learning

    Science.gov (United States)

    Shah, Mamta; Foster, Aroutis

    2015-01-01

    Research focusing on the development and assessment of teacher knowledge in game-based learning is in its infancy. A mixed-methods study was undertaken to educate pre-service teachers in game-based learning using the Game Network Analysis (GaNA) framework. Fourteen pre-service teachers completed a methods course, which prepared them in game…

  15. Assessing STEM content learning: using the Arctic's changing climate to develop 21st century learner

    Science.gov (United States)

    Henderson, G. R.; Durkin, S.; Moran, A.

    2016-12-01

    In recent years the U.S. federal government has called for an increased focus on science, technology, engineering, and mathematics (STEM) in the educational system to ensure that there will be sufficient technical expertise to meet the needs of business and industry. As a direct result of this STEM emphasis, the number of outreach activities aimed at actively engaging these students in STEM learning has surged. Such activities, frequently in the form of summer camps led by university faculty, have targeted primary and secondary school students with the goal of growing student interest in STEM majors and STEM careers. This study assesses short-term content learning using a climate module that highlights rapidly changing Arctic climate conditions to illustrate concepts of radiative energy balance and climate feedback. Hands-on measurement of short and longwave radiation using simple instrumentation is used to demonstrate concepts that are then related back to the "big picture" Arctic issue. Pre and post module questionnaires were used to assess content learning, as this learning type has been identified as the basis for STEM literacy and the vehicle by which 21st century learning skills are usually developed. In this instance, students applied subject knowledge they gained by taking radiation measurements to better understand the real-world problem of climate change.

  16. Using developmental evaluation as a system of organizational learning: An example from San Francisco.

    Science.gov (United States)

    Shea, Jennifer; Taylor, Tory

    2017-12-01

    In the last 20 years, developmental evaluation has emerged as a promising approach to support organizational learning in emergent social programs. Through a continuous system of inquiry, reflection, and application of knowledge, developmental evaluation serves as a system of tools, methods, and guiding principles intended to support constructive organizational learning. However, missing from the developmental evaluation literature is a nuanced framework to guide evaluators in how to elevate the organizational practices and concepts most relevant for emergent programs. In this article, we describe and reflect on work we did to develop, pilot, and refine an integrated pilot framework. Drawing on established developmental evaluation inquiry frameworks and incorporating lessons learned from applying the pilot framework, we put forward the Evaluation-led Learning framework to help fill that gap and encourage others to implement and refine it. We posit that without explicitly incorporating the assessments at the foundation of the Evaluation-led Learning framework, developmental evaluation's ability to affect organizational learning in productive ways will likely be haphazard and limited. Copyright © 2017 Elsevier Ltd. All rights reserved.

  17. Two Decades of SIMCE: An Overview of the National Assessment System in Chile

    Science.gov (United States)

    Meckes, Lorena; Carrasco, Rafael

    2010-01-01

    The Chilean national learning outcome assessment system (Sistema de Medicion de Calidad de la Educacion, SIMCE) has carried out census-based assessments since 1988 and publishes the results at both the national and school levels. During its 20 years of existence, SIMCE has experienced changes in its institutional framework, objectives,…

  18. CONCEPT AND STRUCTURE OF AUTOMATED SYSTEM FOR MONITORING STUDENT LEARNING QUALITY

    Directory of Open Access Journals (Sweden)

    M. Yu. Kataev

    2017-01-01

    Full Text Available Introduction. Implementing new educational standards and a multistage system of training of specialists at the higher school meant, inter alia, reconsideration of approaches to assessment of students’ learning quality. Nevertheless, development of organizational-methodical tools and content of control procedures in most higher education institutions is still focused on a traditional formative (spot, local knowledge assessment. It is obvious that changed economic, social and educational conditions of professionalization (mastering a certain profession and self-realization in it require a search for more adequate new means and measurement methods of education results got by students. According to the authors of the present article, development of a digital information system of control is necessary. Such a digital information system of control has to take intoaccount the features of educational process of concrete higher education institution; then, continuous accumulation and analysis of all types and forms of personal certification and assessment of educational activity of each student.The aim of the publication is the development of an automated software system for quality education assessments, taking into account the use of Avatar technology.Methodology and research methods. The methods involve: analytical review of scientific-methodological literature and documentation on the organization of assessment of quality education assessments in higher education institutions; analysis and synthesis of experience of application of the techniques developed on the basis of the balanced system estimated indicators (BSC, ISO standards, the EFQM Excellence Model, CIPP evaluation model, international quality standards ESG ENQA, TQM, CATS, etc. System and activity approaches were adopted as methodological base when creating automated program system.Results and scientific novelty. A block diagram of the learning process is presented; it demonstrates

  19. Curriculum learning designs: teaching health assessment skills for advanced nursing practitioners through sustainable flexible learning.

    Science.gov (United States)

    Fitzgerald, Les; Wong, Pauline; Hannon, John; Solberg Tokerud, Marte; Lyons, Judith

    2013-10-01

    Innovative curriculum designs are vital for effective learning in contemporary nursing education where traditional modes of delivery are not adequate to meet the learning needs of postgraduate students. This instance of postgraduate teaching in a distributed learning environment offered the opportunity to design a flexible learning model for teaching advanced clinical skills. To present a sustainable model for flexible learning that enables specialist nurses to gain postgraduate qualifications without on-campus class attendance by teaching and assessing clinical health care skills in an authentic workplace setting. An action research methodology was used to gather evidence and report on the process of curriculum development of a core unit, Comprehensive Health Assessment (CHA), within 13 different postgraduate speciality courses. Qualitative data was collected from 27 teaching academics, 21 clinical specialist staff, and 7 hospital managers via interviews, focus groups and journal reflections. Evaluations from the initial iteration of CHA from 36 students were obtained. Data was analyzed to develop and evaluate the curriculum design of CHA. The key factors indicated by participants in the curriculum design process were coordination and structuring of teaching and assessment; integration of content development; working with technologies, balancing specialities and core knowledge; and managing induction and expectations. A set of recommendations emerged as a result of the action research process. These included: a constructive alignment approach to curriculum design; the production of a facilitator's guide that specifies expectations and unit information for academic and clinical education staff; an agreed template for content authors; and the inclusion of synchronous communication for real-time online tutoring. The highlight of the project was that it built curriculum design capabilities of clinicians and students which can sustain this alternative model of online

  20. Academic performance and perception of learning following a peer coaching teaching and assessment strategy.

    Science.gov (United States)

    Moore, Catherine; Westwater-Wood, Sarah; Kerry, Roger

    2016-03-01

    Peer coaching has been associated with positive effects on learning. Specifically, these associations have been explored in complex healthcare professions. A social theory of learning has been proposed as a key component of the utility of peer coaching. Further, within the peer coaching model, assessment has been considered as an important driver. Empirical support for these dimensions of the model is lacking. To quantify assessment achievements and explore emergent attitudes and beliefs about learning related to a specific peer coaching model with integrated assessment. A longitudinal study based in a UK Higher Education Institute recorded assessment achievements and surveyed attitudes and beliefs in consecutive Year 1 undergraduate (physiotherapy) students (n = 560) between 2002 and 2012. A 6% improvement in academic achievement was demonstrated following the introduction of a peer coaching learning model. This was increased by a further 5% following the implementation of an integrated assessment. The improvement related to an overall averaged increase of one marking band. Students valued the strategy, and themes relating to the importance of social learning emerged from survey data. Peer coaching is an evidence-based teaching and learning strategy which can facilitate learning in complex subject areas. The strategy is underpinned by social learning theory which is supported by emergent student-reported attitudes.

  1. The immune system, adaptation, and machine learning

    Science.gov (United States)

    Farmer, J. Doyne; Packard, Norman H.; Perelson, Alan S.

    1986-10-01

    The immune system is capable of learning, memory, and pattern recognition. By employing genetic operators on a time scale fast enough to observe experimentally, the immune system is able to recognize novel shapes without preprogramming. Here we describe a dynamical model for the immune system that is based on the network hypothesis of Jerne, and is simple enough to simulate on a computer. This model has a strong similarity to an approach to learning and artificial intelligence introduced by Holland, called the classifier system. We demonstrate that simple versions of the classifier system can be cast as a nonlinear dynamical system, and explore the analogy between the immune and classifier systems in detail. Through this comparison we hope to gain insight into the way they perform specific tasks, and to suggest new approaches that might be of value in learning systems.

  2. Supporting visual quality assessment with machine learning

    NARCIS (Netherlands)

    Gastaldo, P.; Zunino, R.; Redi, J.

    2013-01-01

    Objective metrics for visual quality assessment often base their reliability on the explicit modeling of the highly non-linear behavior of human perception; as a result, they may be complex and computationally expensive. Conversely, machine learning (ML) paradigms allow to tackle the quality

  3. Formative assessment promotes learning in undergraduate clinical ...

    African Journals Online (AJOL)

    Introduction. Clinical clerkships, typically situated in environments lacking educational structure, form the backbone of undergraduate medical training. The imperative to develop strategies that enhance learning in this context is apparent. This study explored the impact of longitudinal bedside formative assessment on ...

  4. Learning to Control Advanced Life Support Systems

    Science.gov (United States)

    Subramanian, Devika

    2004-01-01

    Advanced life support systems have many interacting processes and limited resources. Controlling and optimizing advanced life support systems presents unique challenges. In particular, advanced life support systems are nonlinear coupled dynamical systems and it is difficult for humans to take all interactions into account to design an effective control strategy. In this project. we developed several reinforcement learning controllers that actively explore the space of possible control strategies, guided by rewards from a user specified long term objective function. We evaluated these controllers using a discrete event simulation of an advanced life support system. This simulation, called BioSim, designed by Nasa scientists David Kortenkamp and Scott Bell has multiple, interacting life support modules including crew, food production, air revitalization, water recovery, solid waste incineration and power. They are implemented in a consumer/producer relationship in which certain modules produce resources that are consumed by other modules. Stores hold resources between modules. Control of this simulation is via adjusting flows of resources between modules and into/out of stores. We developed adaptive algorithms that control the flow of resources in BioSim. Our learning algorithms discovered several ingenious strategies for maximizing mission length by controlling the air and water recycling systems as well as crop planting schedules. By exploiting non-linearities in the overall system dynamics, the learned controllers easily out- performed controllers written by human experts. In sum, we accomplished three goals. We (1) developed foundations for learning models of coupled dynamical systems by active exploration of the state space, (2) developed and tested algorithms that learn to efficiently control air and water recycling processes as well as crop scheduling in Biosim, and (3) developed an understanding of the role machine learning in designing control systems for

  5. Taking Stock: Existing Resources for Assessing a New Vision of Science Learning

    Science.gov (United States)

    Alonzo, Alicia C.; Ke, Li

    2016-01-01

    A new vision of science learning described in the "Next Generation Science Standards"--particularly the science and engineering practices and their integration with content--pose significant challenges for large-scale assessment. This article explores what might be learned from advances in large-scale science assessment and…

  6. Learning outcomes afforded by self-assessed, segmented video–print combinations

    OpenAIRE

    Jack Koumi

    2015-01-01

    Learning affordances of video and print are examined in order to assess the learning outcomes afforded by hybrid video–print learning packages. The affordances discussed for print are: navigability, surveyability and legibility. Those discussed for video are: design for constructive reflection, provision of realistic experiences, presentational attributes, motivational influences and teacher personalisation. The video affordances are examined through a framework of pedagogic design principles...

  7. Impact of Portfolio Assessment on Physics Students' Outcomes: Examination of Learning and Attitude

    Science.gov (United States)

    Gunay, Abdulkadir; Ogan-Bekiroglu, Feral

    2014-01-01

    In spite of the commendations for the use of portfolio assessment, there is still little evidence indicating that such assessment actually supports and encourages student learning. Hence, this research study aimed to empirically identify the effects of implementation of portfolio assessment on student learning and attitudes. True-experimental…

  8. Training self-assessment and task-selection skills : A cognitive approach to improving self-regulated learning

    NARCIS (Netherlands)

    Kostons, Danny; van Gog, Tamara; Paas, Fred

    For self-regulated learning to be effective, students need to be able to accurately assess their own performance on a learning task and use this assessment for the selection of a new learning task. Evidence suggests, however, that students have difficulties with accurate self-assessment and task

  9. Integrating Machine Learning into a Crowdsourced Model for Earthquake-Induced Damage Assessment

    Science.gov (United States)

    Rebbapragada, Umaa; Oommen, Thomas

    2011-01-01

    On January 12th, 2010, a catastrophic 7.0M earthquake devastated the country of Haiti. In the aftermath of an earthquake, it is important to rapidly assess damaged areas in order to mobilize the appropriate resources. The Haiti damage assessment effort introduced a promising model that uses crowdsourcing to map damaged areas in freely available remotely-sensed data. This paper proposes the application of machine learning methods to improve this model. Specifically, we apply work on learning from multiple, imperfect experts to the assessment of volunteer reliability, and propose the use of image segmentation to automate the detection of damaged areas. We wrap both tasks in an active learning framework in order to shift volunteer effort from mapping a full catalog of images to the generation of high-quality training data. We hypothesize that the integration of machine learning into this model improves its reliability, maintains the speed of damage assessment, and allows the model to scale to higher data volumes.

  10. Active Learning of Markov Decision Processes for System Verification

    DEFF Research Database (Denmark)

    Chen, Yingke; Nielsen, Thomas Dyhre

    2012-01-01

    deterministic Markov decision processes from data by actively guiding the selection of input actions. The algorithm is empirically analyzed by learning system models of slot machines, and it is demonstrated that the proposed active learning procedure can significantly reduce the amount of data required...... demanding process, and this shortcoming has motivated the development of algorithms for automatically learning system models from observed system behaviors. Recently, algorithms have been proposed for learning Markov decision process representations of reactive systems based on alternating sequences...... of input/output observations. While alleviating the problem of manually constructing a system model, the collection/generation of observed system behaviors can also prove demanding. Consequently we seek to minimize the amount of data required. In this paper we propose an algorithm for learning...

  11. Design of an eLearning System for Accreditation of Non-formal Learning

    OpenAIRE

    Kovatcheva , Eugenia; Nikolov , Roumen

    2008-01-01

    This paper deals with issues related to the non-formal learning in vocational education, and the role of ICT for providing appropriate accreditation model in such education. The presented conclusions are based on the Leonardo da Vinci project LeoSPAN. The paper emphasises on the development of a model and a prototype of an adaptive eLearning system that ensures the pre-defined learner outcomes. One of the advantages of the eLearning system is the flexibility for people who upgrade and improve...

  12. Assessment of the efficacy of blended learning in an introductory pharmacy class

    Science.gov (United States)

    Munson, Christina Elizabeth

    Blended learning is the convergence between traditional face-to-face learning typically seen in a university setting and a computer-mediated learning environment, and is increasingly being seen as a viable alternative for learning instruction. Pharmaceutical calculations (PC) is a course taken by students in the first year in the school of pharmacy at the University of Kansas (KU SOP). One of the objectives of the PC class is that students are able to perform calculations with minimal error consistently. This requires repetitive drill which is a poor use of class time. By moving presentation of material online and using class time for small learning group problem solving as well as practice exams, the transformation of the course to a blended or hybrid course is assessed for efficacy and found to have student outcomes which are comparable to previous face-to-face (F2F) classes. As KU SOP expands it class sizes from 105 to ˜150 students and its campuses (building a satellite campus in Wichita, Kansas), being able to provide quality instruction at a reasonable cost is desirable. By redesigning PC to be a hybrid course, the need to hire additional instructors and/or increase available resources is minimized. Instructors remain for the large part on the main campus in Lawrence while students are learning at remote locations, a cost-effective measure for all parties involved. Using small learning groups (consisting of not more than 3 or 4 students) to work problems in PC was demonstrated to be an effective use of F2F class time in the fall semester, 2008 at KU. The class was taught by the same instructor in the fall of 2009 using blended learning as the class format. The current computer Learning Management System (LMS) in use at KU is Blackboard((c)2010). By using Blackboard to deliver lectures and have students work through tutorials to learn the material, class time was devoted to highly-focused problem solving. Due to unequal data distribution, the non

  13. The Effects of Students' Learning Anxiety and Motivation on the Learning Achievement in the Activity Theory Based Gamified Learning Environment

    Science.gov (United States)

    Su, Chung-Ho

    2017-01-01

    The advancement of mobile game-based learning has encouraged many related studies, which has enabled students to learn more and faster. To enhance the clinical path of cardiac catheterization learning, this paper has developed a mobile 3D-CCGBLS (3D Cardiac Catheterization Game-Based Learning System) with a learning assessment for cardiac…

  14. "Straitjacket" or "Springboard for Sustainable Learning"? The Implications of Formative Assessment Practices in Vocational Learning Cultures

    Science.gov (United States)

    Davies, Jenifer; Ecclestone, Kathryn

    2008-01-01

    In contrast to theoretical and empirical insights from research into formative assessment in compulsory schooling, understanding the relationship between formative assessment, motivation and learning in vocational education has been a topic neglected by researchers. The Improving Formative Assessment project (IFA) addresses this gap, using a…

  15. Learning management system and e-learning tools: an experience of medical students' usage and expectations.

    Science.gov (United States)

    Back, David A; Behringer, Florian; Haberstroh, Nicole; Ehlers, Jan P; Sostmann, Kai; Peters, Harm

    2016-08-20

    To investigate medical students´ utilization of and problems with a learning management system and its e-learning tools as well as their expectations on future developments. A single-center online survey has been carried out to investigate medical students´ (n = 505) usage and perception concerning the learning management system Blackboard, and provided e-learning tools. Data were collected with a standardized questionnaire consisting of 70 items and analyzed by quantitative and qualitative methods. The participants valued lecture notes (73.7%) and Wikipedia (74%) as their most important online sources for knowledge acquisition. Missing integration of e-learning into teaching was seen as the major pitfall (58.7%). The learning management system was mostly used for study information (68.3%), preparation of exams (63.3%) and lessons (54.5%). Clarity (98.3%), teaching-related contexts (92.5%) and easy use of e-learning offers (92.5%) were rated highest. Interactivity was most important in free-text comments (n = 123). It is desired that contents of a learning management system support an efficient learning. Interactivity of tools and their conceptual integration into face-to-face teaching are important for students. The learning management system was especially important for organizational purposes and the provision of learning materials. Teachers should be aware that free online sources such as Wikipedia enjoy a high approval as source of knowledge acquisition. This study provides an empirical basis for medical schools and teachers to improve their offerings in the field of digital learning for their students.

  16. System Quality Characteristics for Selecting Mobile Learning Applications

    Directory of Open Access Journals (Sweden)

    Mohamed SARRAB

    2015-10-01

    Full Text Available The majority of M-learning (Mobile learning applications available today are developed for the formal learning and education environment. These applications are characterized by the improvement in the interaction between learners and instructors to provide high interaction and flexibility to the learning process. M-learning is gaining increased recognition and adoption by different organizations. With the high number of M-learning applications available today, making the right decision about which, application to choose can be quite challenging. To date there is no complete and well defined set of system characteristics for such M-learning applications. This paper presents system quality characteristics for selecting M-learning applications based on the result of a systematic review conducted in this domain.

  17. Canonical Correlational Models of Students’ Perceptions of Assessment Tasks, Motivational Orientations, and Learning Strategies

    Directory of Open Access Journals (Sweden)

    Hussain Alkharusi

    2013-01-01

    Full Text Available The present study aims at deriving correlational models of students' perceptions of assessment tasks, motivational orientations, and learning strategies using canonical analyses. Data were collected from 198 Omani tenth grade students. Results showed that high degrees of authenticity and transparency in assessment were associated with positive students' self-efficacy and task value. Also, high degrees of authenticity, transparency, and diversity in assessment were associated with a strong reliance on deep learning strategies; whereas a high degree of congruence with planned learning and a low degree of authenticity were associated with more reliance on surface learning strategies. Implications for classroom assessment practice and research were discussed.

  18. Panorama of Recommender Systems to Support Learning

    NARCIS (Netherlands)

    Drachsler, Hendrik; Verbert, Katrien; Santos, Olga C.; Manouselis, Nikos

    2015-01-01

    This chapter presents an analysis of recommender systems in TechnologyEnhanced Learning along their 15 years existence (2000-2014). All recommender systems considered for the review aim to support educational stakeholders by personalising the learning process. In this meta-review 82 recommender

  19. USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS

    Directory of Open Access Journals (Sweden)

    Uğur Ayvaz

    2017-09-01

    Full Text Available Since the personal computer usage and internet bandwidth are increasing, e-learning systems are also widely spreading. Although e-learning has some advantages in terms of information accessibility, time and place flexibility compared to the formal learning, it does not provide enough face-to-face interactivity between an educator and learners. In this study, we are proposing a hybrid information system, which is combining computer vision and machine learning technologies for visual and interactive e-learning systems. The proposed information system detects emotional states of the learners and gives feedback to an educator about their instant and weighted emotional states based on facial expressions. In this way, the educator will be aware of the general emotional state of the virtual classroom and the system will create a formal learning-like interactive environment. Herein, several classification algorithms were applied to learn instant emotional state and the best accuracy rates were obtained using kNN and SVM algorithms.

  20. The development of a learning management system for dental radiology education: A technical report

    International Nuclear Information System (INIS)

    Chang, Hee Jin; Huh, Kyung Hoe; Yi, Won Jin; Heo, Min Suk; Lee, Sam Sun; Choi, Soon Chul; Symkhampha, Khanthaly

    2017-01-01

    This study was conducted to suggest the development of a learning management system for dental radiology education using the Modular Object-Oriented Dynamic Learning Environment (Moodle). Moodle is a well-known and verified open-source software-learning management system (OSS-LMS). The Moodle software was installed on a server computer and customized for dental radiology education. The system was implemented for teaching undergraduate students to diagnose dental caries in panoramic images. Questions were chosen that could assess students' diagnosis ability. Students were given several questions corresponding to each of 100 panoramic images. The installation and customization of Moodle was feasible, cost-effective, and time-saving. By having students answer questions repeatedly, it was possible to train them to examine panoramic images sequentially and thoroughly. Based on its educational efficiency and efficacy, the adaptation of an OSS-LMS in dental school may be highly recommended. The system could be extended to continuing education for dentists. Further studies on the objective evaluation of knowledge acquisition and retention are needed

  1. Facilitating peer based learning through summative assessment - An adaptation of the Objective Structured Clinical Assessment tool for the blended learning environment.

    Science.gov (United States)

    Wikander, Lolita; Bouchoucha, Stéphane L

    2018-01-01

    Adapting a course from face to face to blended delivery necessitates that assessments are modified accordingly. In Australia the Objective Structured Clinical Assessment tool, as a derivative from the Objective Structured Clinical Examination, has been used in the face-to-face delivery mode as a formative or summative assessment tool in medicine and nursing since 1990. The Objective Structured Clinical Assessment has been used at Charles Darwin University to assess nursing students' simulated clinical skills prior to the commencement of their clinical placements since 2008. Although the majority of the course is delivered online, students attend a one-week intensive clinical simulation block yearly, prior to attending clinical placements. Initially, the Objective Structured Clinical Assessment was introduced as a lecturer assessed summative assessment, over time it was adapted to better suit the blended learning environment. The modification of the tool from an academic to peer assessed assessment tool, was based on the empirical literature, student feedback and a cross-sectional, qualitative study exploring academics' perceptions of the Objective Structured Clinical Assessment (Bouchoucha et al., 2013a, b). This paper presents an overview of the process leading to the successful adaptation of the Objective Structured Clinical Assessment to suit the requirements of a preregistration nursing course delivered through blended learning. This is significant as many universities are moving their curriculum to fully online or blended delivery, yet little attention has been paid to adapting the assessment of simulated clinical skills. The aim is to identify the benefits and drawbacks of using the peer assessed Objective Structured Clinical Assessment and share recommendations for successful implementation. Copyright © 2017 Elsevier Ltd. All rights reserved.

  2. Framework for e-learning assessment in dental education: a global model for the future.

    Science.gov (United States)

    Arevalo, Carolina R; Bayne, Stephen C; Beeley, Josie A; Brayshaw, Christine J; Cox, Margaret J; Donaldson, Nora H; Elson, Bruce S; Grayden, Sharon K; Hatzipanagos, Stylianos; Johnson, Lynn A; Reynolds, Patricia A; Schönwetter, Dieter J

    2013-05-01

    The framework presented in this article demonstrates strategies for a global approach to e-curricula in dental education by considering a collection of outcome assessment tools. By combining the outcomes for overall assessment, a global model for a pilot project that applies e-assessment tools to virtual learning environments (VLE), including haptics, is presented. Assessment strategies from two projects, HapTEL (Haptics in Technology Enhanced Learning) and UDENTE (Universal Dental E-learning), act as case-user studies that have helped develop the proposed global framework. They incorporate additional assessment tools and include evaluations from questionnaires and stakeholders' focus groups. These measure each of the factors affecting the classical teaching/learning theory framework as defined by Entwistle in a standardized manner. A mathematical combinatorial approach is proposed to join these results together as a global assessment. With the use of haptic-based simulation learning, exercises for tooth preparation assessing enamel and dentine were compared to plastic teeth in manikins. Equivalence for student performance for haptic versus traditional preparation methods was established, thus establishing the validity of the haptic solution for performing these exercises. Further data collected from HapTEL are still being analyzed, and pilots are being conducted to validate the proposed test measures. Initial results have been encouraging, but clearly the need persists to develop additional e-assessment methods for new learning domains.

  3. Is Blended e-Learning as Measured by an Achievement Test and Self-Assessment Better than Traditional Classroom Learning for Vocational High School Students?

    Directory of Open Access Journals (Sweden)

    Chi-Cheng Chang

    2014-04-01

    Full Text Available The purpose of this study is to examine the effects of blended e-learning on electrical machinery performance (achievement test and self-assessment. Participants were two classes of 11th graders majoring in electrical engineering and taking the electrical machinery class at a vocational high school in Taiwan. The participants were randomly selected and assigned to either the experimental group (n = 33 which studied through blended e-learning or the control group (n = 32 which studied through traditional classroom learning. The experiment lasted for five weeks. The results showed that (a there were no significant differences in achievement test scores between blended e-learning and traditional learning; (b students in the experimental group obtained significantly higher scores on self-assessment than students in the control group; (c students’ scores on self-assessment were significantly higher after studying through blended e-learning than before. Overall, blended e-learning did not significantly affect students’ achievement test scores, but significantly affected their self-assessment scores.

  4. The organization of an autonomous learning system

    Science.gov (United States)

    Kanerva, Pentti

    1988-01-01

    The organization of systems that learn from experience is examined, human beings and animals being prime examples of such systems. How is their information processing organized. They build an internal model of the world and base their actions on the model. The model is dynamic and predictive, and it includes the systems' own actions and their effects. In modeling such systems, a large pattern of features represents a moment of the system's experience. Some of the features are provided by the system's senses, some control the system's motors, and the rest have no immediate external significance. A sequence of such patterns then represents the system's experience over time. By storing such sequences appropriately in memory, the system builds a world model based on experience. In addition to the essential function of memory, fundamental roles are played by a sensory system that makes raw information about the world suitable for memory storage and by a motor system that affects the world. The relation of sensory and motor systems to the memory is discussed, together with how favorable actions can be learned and unfavorable actions can be avoided. Results in classical learning theory are explained in terms of the model, more advanced forms of learning are discussed, and the relevance of the model to the frame problem of robotics is examined.

  5. Implementation of learning outcome attainment measurement system in aviation engineering higher education

    Science.gov (United States)

    Salleh, I. Mohd; Mat Rani, M.

    2017-12-01

    This paper aims to discuss the effectiveness of the Learning Outcome Attainment Measurement System in assisting Outcome Based Education (OBE) for Aviation Engineering Higher Education in Malaysia. Direct assessments are discussed to show the implementation processes that become a key role in the successful outcome measurement system. A case study presented in this paper involves investigation on the implementation of the system in Aircraft Structure course for Bachelor in Aircraft Engineering Technology program in UniKL-MIAT. The data has been collected for five semesters, starting from July 2014 until July 2016. The study instruments used include the report generated in Learning Outcomes Measurements System (LOAMS) that contains information on the course learning outcomes (CLO) individual and course average performance reports. The report derived from LOAMS is analyzed and the data analysis has revealed that there is a positive significant correlation between the individual performance and the average performance reports. The results for analysis of variance has further revealed that there is a significant difference in OBE grade score among the report. Independent samples F-test results, on the other hand, indicate that the variances of the two populations are unequal.

  6. An Interview with Marcia Tate: Formative Assessment and Brain Based Learning

    OpenAIRE

    Shaughnessy, Michael

    2016-01-01

    In this interview, Dr. Marcia Tate discusses her work and focuses on critical issues in brain based learning, and the need for both formative and summative assessment. Tangential issues such as grade retention, and response to intervention are also discussed. It is hope that this interview will assist teachers in the instructional and learning process and aid in both formative and summative assessment.  

  7. Online reinforcement learning control for aerospace systems

    NARCIS (Netherlands)

    Zhou, Y.

    2018-01-01

    Reinforcement Learning (RL) methods are relatively new in the field of aerospace guidance, navigation, and control. This dissertation aims to exploit RL methods to improve the autonomy and online learning of aerospace systems with respect to the a priori unknown system and environment, dynamical

  8. LBS Mobile Learning System Based on Android Platform

    Directory of Open Access Journals (Sweden)

    Zhang Ya-Li

    2017-01-01

    Full Text Available In the era of mobile internet, PC-end internet services can no long satisfy people’s demands, needs for App and services on mobile phones are more urgent than ever. With increasing social competition, the concept of lifelong learning becomes more and more popular and accepted, making full use of spare time to learn at any time and any place meets updating knowledge desires of modern people, Location Based System (LBS mobile learning system based on Android platform was created under such background. In this Paper, characteristics of mobile location technology and intelligent terminal were introduced and analyzed, mobile learning system which will fulfill personalized needs of mobile learners was designed and developed on basis of location information, mobile learning can be greatly promoted and new research ideas can be expanded for mobile learning.

  9. Conceptualizing learning for sustainability through environmental assessment: critical reflections on 15 years of research

    International Nuclear Information System (INIS)

    Sinclair, A. John; Diduck, Alan; Fitzpatrick, Patricia

    2008-01-01

    Numerous scholars are now directing their attention to the education and learning implications of participatory resource and environmental governance because of the potential implications of these for generating the social mobilization necessary to achieve sustainability trajectories. Our work, and that of other researchers, establishes that public participation in environmental assessment (EA) provides fertile ground for considering the intricacies of governance as they relate to participation, and for examining the education and learning implications of participation. Since EA law requires in many cases that public voices be part of the decision process, it has resulted in the creation of fascinating, state-sanctioned, deliberative spaces for civic interactions. Our purpose here is to share, and build upon, a framework that conceptualizes the relationships among participation, education, learning and sustainability in an EA context. We do so by considering findings from studies we have undertaken on participation in EA in Canada since the early 90's. Our approach was interactive and collaborative. We each considered in detail the key results of our earlier work as they relate to education, learning and EA process design. The findings illuminate aspects of the conceptual framework for which there is considerable empirical evidence, such as the link between meaningful participation and critical education and the diversity of individual learning outcomes associated with public participation in EA. The findings also highlight those parts of the framework for which the empirical evidence is relatively sparse, such as the range of possible social learning outcomes, their congruence with sustainability criteria, and the roles of monitoring and cumulative and strategic assessments in shaping EA into an adaptive, learning system

  10. Panorama of recommender systems to support learning

    OpenAIRE

    Drachsler, Hendrik; Verbert, Katrien; Santos, Olga; Manouselis, Nikos

    2015-01-01

    This chapter presents an analysis of recommender systems in Technology-Enhanced Learning along their 15 years existence (2000-2014). All recommender systems considered for the review aim to support educational stakeholders by personalising the learning process. In this meta-review 82 recommender systems from 35 different countries have been investigated and categorised according to a given classification framework. The reviewed systems have been classified into 7 clusters according to their c...

  11. Boosting Vocabulary Learning through Self-Assessment in an English Language Teaching Context

    Science.gov (United States)

    Duque Micán, Adriana; Cuesta Medina, Liliana

    2017-01-01

    This study explores the influence of self-assessment of vocabulary competence on a group of students' oral fluency. Twenty-four young adult learners participated in a learning process that promoted their oral skills and vocabulary development. Self-assessment was mainly examined through the analysis of students' learning logs, field notes and…

  12. Reinforcement and Systemic Machine Learning for Decision Making

    CERN Document Server

    Kulkarni, Parag

    2012-01-01

    Reinforcement and Systemic Machine Learning for Decision Making There are always difficulties in making machines that learn from experience. Complete information is not always available-or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a need to understand the impact of decisions and actions on a system over that period of time. This book takes a holistic approach to addressing that need and presents a new paradigm-creating new learning applications and, ultimately, more intelligent machines. The first book of its kind in this new an

  13. The Learning Healthcare System: Where are we now? A systematic review.

    Science.gov (United States)

    Budrionis, Andrius; Bellika, Johan Gustav

    2016-12-01

    The Learning Healthcare System paradigm has attracted the attention of researchers worldwide. The great potential originating from high-scale health data reuse and the inclusion of patient perspectives into care models promises personalized care, lower costs of health services and minimized consumption of resources. The aim of this review is to summarize the attempts to adopt the novel paradigm, putting emphasis on implementations and evaluating the impact on current medical practices. PRISMA methodology was followed for structuring the review process. Three major research databases (PubMed, IEEE Xplore and ACM DL) were queried with the predefined search terms "learning healthcare" and "learning health". Publications containing specific theoretical or empirical results were considered. Three hundred and fifty-eight publications were identified; however, only 32 met the inclusion criteria. Nineteen papers were characterized as theoretical contributions, while the rest presented empirical achievements. Only one paper described the initial estimates of impact and economy. Individualistic communication of studies ignoring popular frameworks for assessing and reporting research achievements prevents the systematic generation of knowledge. Evaluating the impact of the Learning Healthcare System instances where it is implemented could work as a catalyst in reaching higher acceptance and adoption of the proposed ideas by healthcare worldwide; however, it mostly remains described in theory. The review demonstrated the interest of researchers in exploring the Learning Healthcare System ideas. However, it also revealed minimal focus on evaluating the impact of the novel paradigm on both healthcare service delivery and patient outcome. Copyright © 2016 Elsevier Inc. All rights reserved.

  14. Cultural impacts on e-learning systems' success

    OpenAIRE

    Aparicio, M.; Bação, F.; Oliveira, T.

    2016-01-01

    WOS:000383295100007 (Nº de Acesso Web of Science) E-learning systems are enablers in the learning process, strengthening their importance as part of the educational strategy. Understanding the determinants of e-learning success is crucial for defining instructional strategies. Several authors have studied e-learning implementation and adoption, and various studies have addressed e-learning success from different perspectives. However, none of these studies have verified whether students' c...

  15. Assessing Grasp Stability Based on Learning and Haptic Data

    DEFF Research Database (Denmark)

    Bekiroglu, Yasemin; Laaksonen, Janne; Jørgensen, Jimmy Alison

    2011-01-01

    a probabilistic learning framework to assess grasp stability and demonstrate that knowledge about grasp stability can be inferred using information from tactile sensors. Experiments on both simulated and real data are shown. The results indicate that the idea to exploit the learning approach is applicable...... data and machine-learning methods, including AdaBoost, support vector machines (SVMs), and hidden Markov models (HMMs). In particular, we study the effect of different sensory streams to grasp stability. This includes object information such as shape; grasp information such as approach vector; tactile...

  16. Harnessing the Power of Learning Management Systems: An E-Learning Approach for Professional Development.

    Science.gov (United States)

    White, Meagan; Shellenbarger, Teresa

    E-learning provides an alternative approach to traditional professional development activities. A learning management system may help nursing professional development practitioners deliver content more efficiently and effectively; however, careful consideration is needed during planning and implementation. This article provides essential information in the selection and use of a learning management system for professional development.

  17. Student Satisfaction with Learning Management Systems: A Lens of Critical Success Factors

    Science.gov (United States)

    Naveh, Gali; Tubin, Dorit; Pliskin, Nava

    2012-01-01

    Institutions of higher education have invested heavily in learning management systems (LMS) for creating course websites. Yet, how to assess LMS effectiveness is not fully agreed upon. Based on institutional theory, this article considers student satisfaction as indicative of LMS success and proposes a lens of critical success factors (CSF) as a…

  18. The Possibilities and Limitations of Assessment for Learning: Exploring the Theory of Formative Assessment and the Notion of "Closing the Learning Gap"

    Science.gov (United States)

    Ninomiya, Shuichi

    2016-01-01

    Black and Wiliam (1998a, 1998b) demonstrate that formative assessment is one of the most effective strategies for promoting student learning. Since the publication of their reviews, formative assessment has gained increasing international prominence in both policy and practice. However, despite this early innovation, the theory and practice of…

  19. MOODLE – COMPUTERIZED DISTANT LEARNING SUPPORT SYSTEM

    Directory of Open Access Journals (Sweden)

    V. A. Tunda

    2014-01-01

    Full Text Available Moodle (Modular Object-Oriented Dynamic Learning Environment is the system developed by the English-speaking community around the world for more than 10 years, supports both, offline and online training. In most cases, Moodle is used to support and connect learning face-to-face with online training, as well as with other types of learning. Moodle allows you to ask all sorts of questions and assess responses in a variety of ways. The central concept of Moodle is a course in which one or more teachers offer students resources (such as files, folders, Web pages and participate in interactive activities (such as forums, wikis, blogging, lessons, seminars, assignments, examinations. Students and teachers can change roles, mutually assess each other, share knowledge on the topics of study in the glossary and database system.In the English-speaking world, there are public sites with detailed documentation on Moodle, which is constantly verified and modified in accordance with emerging new versions of the system; Russian versions do not have public sites with detailed translation of the English-language documentation. On what and to whom you want to perform actions in the daily practice of the modern versions, only the barest of outlines on paid seminars and presentations to those who started the implementation of Moodle in your organization are given. And this despite the fact that the system has a great variety of Moodle (over 500 settings with different levels of functionality to be performed, to maintain and develop specially organized by the team of specialists. The question is not only about creating a training course in Moodle. It's about maintaining the health of the system within the institution, such as a University. Under the "health maintenance" means: availability and preservation of up-to-date documentation on system and manuals on Moodle separately for administrators, managers, teachers and students at their level, training consultants

  20. Learning in Artificial Neural Systems

    Science.gov (United States)

    Matheus, Christopher J.; Hohensee, William E.

    1987-01-01

    This paper presents an overview and analysis of learning in Artificial Neural Systems (ANS's). It begins with a general introduction to neural networks and connectionist approaches to information processing. The basis for learning in ANS's is then described, and compared with classical Machine learning. While similar in some ways, ANS learning deviates from tradition in its dependence on the modification of individual weights to bring about changes in a knowledge representation distributed across connections in a network. This unique form of learning is analyzed from two aspects: the selection of an appropriate network architecture for representing the problem, and the choice of a suitable learning rule capable of reproducing the desired function within the given network. The various network architectures are classified, and then identified with explicit restrictions on the types of functions they are capable of representing. The learning rules, i.e., algorithms that specify how the network weights are modified, are similarly taxonomized, and where possible, the limitations inherent to specific classes of rules are outlined.

  1. Pedagogical Voyeurism: Dialogic Critique of Documentation and Assessment of Learning

    Science.gov (United States)

    Matusov, Eugene; Marjanovic-Shane, Ana; Meacham, Sohyun

    2016-01-01

    We challenge a common emphasis on documentation and assessment of learning for providing good education: from the mainstream of neoliberal accountability movement to the progressive Reggio Emilia schools. We develop these arguments through discussing: 1) immeasurableness of education and learning, 2) students' ownership/authorship of education and…

  2. Assessing Student Learning in Academic Advising Using Social Cognitive Theory

    Science.gov (United States)

    Erlich, Richard J.; Russ-Eft, Darlene F.

    2013-01-01

    We investigated whether the social cognitive theory constructs of self-efficacy and self-regulated learning apply to academic advising for measuring student learning outcomes. Community college students (N = 120) participated in an individual academic-advising session. We assessed students' post-intervention self-efficacy in academic planning and…

  3. Assessing Metacognition as a Learning Outcome in a Postsecondary Strategic Learning Course

    Science.gov (United States)

    Mytkowicz, Patricia; Goss, Diane; Steinberg, Bruce

    2014-01-01

    While metacognition is an important component of the learning process for college students, development of metacognitive knowledge and regulation is particularly important for students with LD and/or ADHD. The researchers used Schraw and Dennison's (1994) "Metacognitive Awareness Inventory" (MAI) to assess first year college students'…

  4. Research and Teaching: Assessing the Effect of Problem-Based Learning on Undergraduate Student Learning in Biomechanics

    Science.gov (United States)

    Mandeville, David; Stoner, Mark

    2015-01-01

    The aim of this study was to assess the effect of using the problem-based learning (PBL) teaching strategy on student academic achievement and secondary learning outcomes when compared with the traditional lecture (TL) for an undergraduate Biomechanics course. Successive undergraduate Biomechanics courses--a TL cohort and a PBL cohort--were…

  5. Towards professionalism in music: self-assessed learning strategies of conservatory music students

    OpenAIRE

    Virkkula, Esa; Nissilä, Säde-Pirkko

    2017-01-01

    One of the current spearhead projects in Finnish education is learning to learn. Learning strategies have been examined from a variety of perspectives. They are policies that either promote or hinder learning. They are any behaviours or thoughts that facilitate encoding in such a way that knowledge integration and retrieval are enhanced. Strategies can be practiced and learnt. Direct and indirect learning strategies formed the model of defining music students’ self-assessed learning habits in...

  6. Assessing the Performance of Natural Resource Systems

    Directory of Open Access Journals (Sweden)

    Bruce Campbell

    2002-01-01

    Full Text Available Assessing the performance of management is central to natural resource management, in terms of improving the efficiency of interventions in an adaptive-learning cycle. This is not simple, given that such systems generally have multiple scales of interaction and response; high frequency of nonlinearity, uncertainty, and time lags; multiple stakeholders with contrasting objectives; and a high degree of context specificity. The importance of bounding the problem and preparing a conceptual model of the system is highlighted. We suggest that the capital assets approach to livelihoods may be an appropriate organizing principle for the selection of indicators of system performance. In this approach, five capital assets are recognized: physical, financial, social, natural, and human. A number of principles can be derived for each capital asset; indicators for assessing system performance should cover all of the principles. To cater for multiple stakeholders, participatory selection of indicators is appropriate, although when cross-site comparability is required, some generic indicators are suitable. Because of the high degree of context specificity of natural resource management systems, a typology of landscapes or resource management domains may be useful to allow extrapolation to broader systems. The problems of nonlinearities, uncertainty, and time lags in natural resource management systems suggest that systems modeling is crucial for performance assessment, in terms of deriving "what would have happened anyway" scenarios for comparison to the measured trajectory of systems. Given that a number of indicators are necessary for assessing performance, the question becomes whether these can be combined to give an integrative assessment. We explore five possible approaches: (1 simple additive index, as used for the Human Development Index; (2 derived variables (e.g., principal components as the indices of performance; (3 two-dimensional plots of

  7. Autonomous Soil Assessment System: A Data-Driven Approach to Planetary Mobility Hazard Detection

    Science.gov (United States)

    Raimalwala, K.; Faragalli, M.; Reid, E.

    2018-04-01

    The Autonomous Soil Assessment System predicts mobility hazards for rovers. Its development and performance are presented, with focus on its data-driven models, machine learning algorithms, and real-time sensor data fusion for predictive analytics.

  8. Applying Social Cognitive Theory to Academic Advising to Assess Student Learning Outcomes

    Science.gov (United States)

    Erlich, Richard J.; Russ-Eft, Darlene

    2011-01-01

    Review of social cognitive theory constructs of self-efficacy and self-regulated learning is applied to academic advising for the purposes of assessing student learning. A brief overview of the history of student learning outcomes in higher education is followed by an explanation of self-efficacy and self-regulated learning constructs and how they…

  9. Learning on the Trail: A Content Analysis of a University Arboretum's Exemplary Interpretive Science Signage System

    Science.gov (United States)

    Wandersee, James H.; Clary, Renee M.

    2007-01-01

    This is an in-depth content analysis of an exemplary outdoor science signage system. The authors offer useful criteria for assessing the quality of the "opportunity to learn" within science signage systems in informal educational sites. This research may be helpful in the design or improvement of trailside interpretive signage systems.

  10. The relationship between students’ perceptions of portfolio assessment practice and their approaches to learning

    NARCIS (Netherlands)

    Segers, M.S.R.; Gijbels, D.; Thurlings, M.C.G.

    2008-01-01

    This study focuses on students’ learning approaches in the context of a competency-based program on Applied Sciences, with portfolio assessment as its core mode of assessment. The study examines students’ perceptions of these assessment practices and the relationships to their learning approaches.

  11. Towards a lessons learned system for critical software

    International Nuclear Information System (INIS)

    Andrade, J.; Ares, J.; Garcia, R.; Pazos, J.; Rodriguez, S.; Rodriguez-Paton, A.; Silva, A.

    2007-01-01

    Failure can be a major driver for the advance of any engineering discipline and Software Engineering is no exception. But failures are useful only if lessons are learned from them. In this article we aim to make a strong defence of, and set the requirements for, lessons learned systems for safety-critical software. We also present a prototype lessons learned system that includes many of the features discussed here. We emphasize that, apart from individual organizations, lessons learned systems should target industrial sectors and even the Software Engineering community. We would like to encourage the Software Engineering community to use this kind of systems as another tool in the toolbox, which complements or enhances other approaches like, for example, standards and checklists

  12. Towards a lessons learned system for critical software

    Energy Technology Data Exchange (ETDEWEB)

    Andrade, J. [University of A Coruna. Campus de Elvina, s/n. 15071, A Coruna (Spain)]. E-mail: jag@udc.es; Ares, J. [University of A Coruna. Campus de Elvina, s/n. 15071, A Coruna (Spain)]. E-mail: juanar@udc.es; Garcia, R. [University of A Coruna. Campus de Elvina, s/n. 15071, A Coruna (Spain)]. E-mail: rafael@udc.es; Pazos, J. [Technical University of Madrid. Campus de Montegancedo, s/n. 28660, Boadilla del Monte, Madrid (Spain)]. E-mail: jpazos@fi.upm.es; Rodriguez, S. [University of A Coruna. Campus de Elvina, s/n. 15071, A Coruna (Spain)]. E-mail: santi@udc.es; Rodriguez-Paton, A. [Technical University of Madrid. Campus de Montegancedo, s/n. 28660, Boadilla del Monte, Madrid (Spain)]. E-mail: arpaton@fi.upm.es; Silva, A. [Technical University of Madrid. Campus de Montegancedo, s/n. 28660, Boadilla del Monte, Madrid (Spain)]. E-mail: asilva@fi.upm.es

    2007-07-15

    Failure can be a major driver for the advance of any engineering discipline and Software Engineering is no exception. But failures are useful only if lessons are learned from them. In this article we aim to make a strong defence of, and set the requirements for, lessons learned systems for safety-critical software. We also present a prototype lessons learned system that includes many of the features discussed here. We emphasize that, apart from individual organizations, lessons learned systems should target industrial sectors and even the Software Engineering community. We would like to encourage the Software Engineering community to use this kind of systems as another tool in the toolbox, which complements or enhances other approaches like, for example, standards and checklists.

  13. Challenges in relation to assessment of prior learning

    DEFF Research Database (Denmark)

    Wahlgren, Bjarne; Aarkrog, Vibe

    2013-01-01

    The paper deals about preliminary results from an on-going project: “From unskilled worker to skilled worker in record time”. The aim of the project is to qualify unskilled workers for skilled positions in record time by drafting up a plan for the training based on assessment of the students’ (the....... Observations and or with the students about the students’ workplace based experiences and learning and 2. Drafting up an individual study plan based on the individual student’s prior learning....

  14. Development and assessment of learning objects about intramuscular medication administration

    Directory of Open Access Journals (Sweden)

    Lilian Mayumi Chinen Tamashiro

    2014-10-01

    Full Text Available OBJECTIVES: to develop and assess a learning object about intramuscular medication administration for nursing undergraduates and nurses.METHOD: a random, intentional and non-probabilistic sample was selected of nurses from a Brazilian social network of nursing and students from the Undergraduate Program at the University of São Paulo School of Nursing to serve as research subjects and assess the object.RESULTS: the participants, 8 nurses and 8 students, studied the object and answered an assessment instrument that included the following criteria: educational aspects (relevance of the theme, objectives and texts/hypertexts, interface of the environment (navigation, accessibility and screen design and didactic resources (interactivity and presentation of resources. In total, 128 significant answers were obtained, 124 (97% of which were positive, assessed as excellent and satisfactory, considered as a flexible, dynamic, objective resources that is appropriate to the nursing learning process.CONCLUSION: the educational technology shows a clear and easily understandable language and the teaching method could be applied in other themes, contributing to the education and training of nursing professionals, positively affecting nursing teaching, stimulating the knowledge, autonomous and independent learning, aligned with the new professional education requirements.

  15. Aligned assessment in support of high-level learning: A critical ...

    African Journals Online (AJOL)

    The article describes a specific formative assessment task in an ODL learning context and touches on issues of self-regulated learning and appropriation of student writing. Biggs' theory of constructive alignment, which underpins the assignment, requires an evaluation of the degree to which students construct meaning from ...

  16. Using Service-Learning in Urban Areas in Semarang Regency to Address Local Knowledge System

    Directory of Open Access Journals (Sweden)

    Rully Adi Nugroho

    2017-08-01

    Full Text Available Service-learning has gained substantial recognition as an effective type of pedagogy and has enhanced civic education across the disciplines, however remains a lack of understanding of this type of learning in Indonesia. The goals of the study were (1 to explore the forms of local knowledge systems practiced in Semarang Regency and how they are used in resources conservation using service-learning method, (2 to foster student engagement with the community, and (3 to promote student awareness of community resources that are directly relevant to local knowledge system issues. The success of the service-learning projects in meeting these goals was assessed via qualitative analysis of student reflective papers and classroom presentations. The results indicated there were local knowledges that were still successfully in use, but often only very locally. Furthermore, the results also indicated that the service-learning projects promoted students’ valuable academic skills, including communication, team-building, and critical thinking, built their self-esteem, their awareness of community needs and resources, and demonstrated the relevance of course content to real life.

  17. Assessment is for learning: Supporting feedback

    OpenAIRE

    McLaren, Susan

    2012-01-01

    This paper describes an action research, school situated project conducted withpartnership funding from Learning and Teaching Scotland, Scottish QualificationsAuthority and Becta, the UK government’s agency for communications technology in education. Based on e-scape (e-solutions for creative assessment in portfolio environments), developed by Goldsmiths, University of London, the Scottish project focussed on integrating innovative methods of capturing evidence of creative performance with pr...

  18. Learning to Support Learning Together: An Experience with the Soft Systems Methodology

    Science.gov (United States)

    Sanchez, Adolfo; Mejia, Andres

    2008-01-01

    An action research approach called soft systems methodology (SSM) was used to foster organisational learning in a school regarding the role of the learning support department within the school and its relation with the normal teaching-learning activities. From an initial situation of lack of coordination as well as mutual misunderstanding and…

  19. Leadership Perspectives on Operationalizing the Learning Health Care System in an Integrated Delivery System.

    Science.gov (United States)

    Psek, Wayne; Davis, F Daniel; Gerrity, Gloria; Stametz, Rebecca; Bailey-Davis, Lisa; Henninger, Debra; Sellers, Dorothy; Darer, Jonathan

    2016-01-01

    Healthcare leaders need operational strategies that support organizational learning for continued improvement and value generation. The learning health system (LHS) model may provide leaders with such strategies; however, little is known about leaders' perspectives on the value and application of system-wide operationalization of the LHS model. The objective of this project was to solicit and analyze senior health system leaders' perspectives on the LHS and learning activities in an integrated delivery system. A series of interviews were conducted with 41 system leaders from a broad range of clinical and administrative areas across an integrated delivery system. Leaders' responses were categorized into themes. Ten major themes emerged from our conversations with leaders. While leaders generally expressed support for the concept of the LHS and enhanced system-wide learning, their concerns and suggestions for operationalization where strongly aligned with their functional area and strategic goals. Our findings suggests that leaders tend to adopt a very pragmatic approach to learning. Leaders expressed a dichotomy between the operational imperative to execute operational objectives efficiently and the need for rigorous evaluation. Alignment of learning activities with system-wide strategic and operational priorities is important to gain leadership support and resources. Practical approaches to addressing opportunities and challenges identified in the themes are discussed. Continuous learning is an ongoing, multi-disciplinary function of a health care delivery system. Findings from this and other research may be used to inform and prioritize system-wide learning objectives and strategies which support reliable, high value care delivery.

  20. Status Checking System of Home Appliances using machine learning

    Directory of Open Access Journals (Sweden)

    Yoon Chi-Yurl

    2017-01-01

    Full Text Available This paper describes status checking system of home appliances based on machine learning, which can be applied to existing household appliances without networking function. Designed status checking system consists of sensor modules, a wireless communication module, cloud server, android application and a machine learning algorithm. The developed system applied to washing machine analyses and judges the four-kinds of appliance’s status such as staying, washing, rinsing and spin-drying. The measurements of sensor and transmission of sensing data are operated on an Arduino board and the data are transmitted to cloud server in real time. The collected data are parsed by an Android application and injected into the machine learning algorithm for learning the status of the appliances. The machine learning algorithm compares the stored learning data with collected real-time data from the appliances. Our results are expected to contribute as a base technology to design an automatic control system based on machine learning technology for household appliances in real-time.

  1. PERSO: Towards an Adaptive e-Learning System

    Science.gov (United States)

    Chorfi, Henda; Jemni, Mohamed

    2004-01-01

    In today's information technology society, members are increasingly required to be up to date on new technologies, particularly for computers, regardless of their background social situation. In this context, our aim is to design and develop an adaptive hypermedia e-learning system, called PERSO (PERSOnalizing e-learning system), where learners…

  2. Divulging Personal Information within Learning Analytics Systems

    Science.gov (United States)

    Ifenthaler, Dirk; Schumacher, Clara

    2015-01-01

    The purpose of this study was to investigate if students are prepared to release any personal data in order to inform learning analytics systems. Besides the well-documented benefits of learning analytics, serious concerns and challenges are associated with the application of these data driven systems. Most notably, empirical evidence regarding…

  3. Review of Recommender Systems Algorithms Utilized in Social Networks based e-Learning Systems & Neutrosophic System

    Directory of Open Access Journals (Sweden)

    A. A. Salama

    2015-03-01

    Full Text Available In this paper, we present a review of different recommender system algorithms that are utilized in social networks based e-Learning systems. Future research will include our proposed our e-Learning system that utilizes Recommender System and Social Network. Since the world is full of indeterminacy, the neutrosophics found their place into contemporary research. The fundamental concepts of neutrosophic set, introduced by Smarandache in [21, 22, 23] and Salama et al. in [24-66].The purpose of this paper is to utilize a neutrosophic set to analyze social networks data conducted through learning activities.

  4. The Role of Corticostriatal Systems in Speech Category Learning.

    Science.gov (United States)

    Yi, Han-Gyol; Maddox, W Todd; Mumford, Jeanette A; Chandrasekaran, Bharath

    2016-04-01

    One of the most difficult category learning problems for humans is learning nonnative speech categories. While feedback-based category training can enhance speech learning, the mechanisms underlying these benefits are unclear. In this functional magnetic resonance imaging study, we investigated neural and computational mechanisms underlying feedback-dependent speech category learning in adults. Positive feedback activated a large corticostriatal network including the dorsolateral prefrontal cortex, inferior parietal lobule, middle temporal gyrus, caudate, putamen, and the ventral striatum. Successful learning was contingent upon the activity of domain-general category learning systems: the fast-learning reflective system, involving the dorsolateral prefrontal cortex that develops and tests explicit rules based on the feedback content, and the slow-learning reflexive system, involving the putamen in which the stimuli are implicitly associated with category responses based on the reward value in feedback. Computational modeling of response strategies revealed significant use of reflective strategies early in training and greater use of reflexive strategies later in training. Reflexive strategy use was associated with increased activation in the putamen. Our results demonstrate a critical role for the reflexive corticostriatal learning system as a function of response strategy and proficiency during speech category learning. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  5. LESSONS LEARNED FROM CYBER SECURITY ASSESSMENTS OF SCADA AND ENERGY MANAGEMENT SYSTEMS

    Energy Technology Data Exchange (ETDEWEB)

    Ray Fink

    2006-10-01

    The results from ten cyber security vulnerability assessments of process control, SCADA and energy management systems, or components of those systems were reviewed to identify common problem areas. The common vulnerabilities ranged from conventional IT security issues to specific weaknesses in control system protocols. In each vulnerability category, relative measures were assigned to the severity of the vulnerability and ease with which an attacker could exploit the vulnerability. Suggested mitigations are identified in each category. Recommended mitigations having the highest impact on reducing vulnerability are listed for asset owners and system vendors.

  6. Evaluating a learning management system for blended learning in Greek higher education.

    Science.gov (United States)

    Kabassi, Katerina; Dragonas, Ioannis; Ntouzevits, Alexandra; Pomonis, Tzanetos; Papastathopoulos, Giorgos; Vozaitis, Yiannis

    2016-01-01

    This paper focuses on the usage of a learning management system in an educational institution for higher education in Greece. More specifically, the paper examines the literature on the use of different learning management systems for blended learning in higher education in Greek Universities and Technological Educational Institutions and reviews the advantages and disadvantages. Moreover, the paper describes the usage of the Open eClass platform in a Technological Educational Institution, TEI of Ionian Islands, and the effort to improve the educational material by organizing it and adding video-lectures. The platform has been evaluated by the students of the TEI of Ionian Islands based on six dimensions: namely student, teacher, course, technology, system design, and environmental dimension. The results of this evaluation revealed that Open eClass has been successfully used for blended learning in the TEI of Ionian Islands. Despite the instructors' initial worries about students' lack of participation in their courses if their educational material was made available online and especially in video lectures; blended learning did not reduce physical presence of the students in the classroom. Instead it was only used as a supplementary tool that helps students to study further, watch missed lectures, etc.

  7. Income Tax Preparation Assistance Service Learning Program: A Multidimensional Assessment

    Science.gov (United States)

    Aldridge, Richard; Callahan, Richard A.; Chen, Yining; Wade, Stacy R.

    2015-01-01

    The authors present a multidimensional assessment of the outcomes and benefits of an income tax preparation assistance (ITPA) service learning program. They measure the perceived proximate benefits at the delivery of the service program, the actual learning outcome benefits prior to graduation, and the perceived long-term benefits from a…

  8. Linking Past and Present: John Dewey and Assessment for Learning

    Science.gov (United States)

    Kucey, Sharen; Parsons, Jim

    2017-01-01

    This collection of extracts is drawn from an article originally published in the "Journal of Teaching and Learning" (2012). It provides an important reminder to understand Assessment for Learning in depth, by relating some of its key features to aspects of John Dewey's educational and political philosophy of democratic participation.

  9. The Challenge of Assessing Professional Competence in Work Integrated Learning

    Science.gov (United States)

    McNamara, Judith

    2013-01-01

    A fundamental aspect of work integrated learning (WIL) is the development of professional competence, the ability of students to perform in the workplace. Alignment theory therefore suggests that the assessment of WIL should include an assessment of students' demonstration of professional competence in the workplace. The assessment of professional…

  10. Learning Management Systems and E-Learning within Cyprus Universities

    Directory of Open Access Journals (Sweden)

    Amirkhanpour, Monaliz

    2011-01-01

    Full Text Available This paper presents an extensive research study and results on the use of existing open-source Learning Management Systems, or LMS within the public and private universities of Cyprus. The most significant objective of this research is the identification of the different types of E-Learning, i.e. Computer-Based Training (CBT, Technology-Based Learning (TBL, and Web-Based Training (WBT within Cyprus universities. The paper identifies the benefits and limitations of the main learning approaches used in higher educational institutions, i.e. synchronous and asynchronous learning, investigates the open-source LMS used in the Cypriot universities and compares their features with regards to students’ preferences for a collaborative E-Learning environment. The required data for this research study were collected from undergraduate and graduate students, alumni, faculty members, and IT professionals who currently work and/or study at the public and private universities of Cyprus. The most noteworthy recommendation of this study is the clear indication that most of the undergraduate students that extensively use the specific E-Learning platform of their university do not have a clear picture of the differences between an LMS and a VLE. This gap has to be gradually diminished in order to make optimum use of the different features offered by the specific E-Learning platform.

  11. Assessment and Recognition of Non-Formal and Informal Learning: A Lithuanian Case of Novice Consultants' Experience

    Science.gov (United States)

    Burkšaitiene, Nijole

    2015-01-01

    This article reports the results of the investigation into institutional support provided to adults by 12 novice consultants on assessment and recognition of their non-formal and informal learning in four institutions of higher education (HEIs) in Lithuania. Using the general systems perspective and perception theory, novice consultants'…

  12. Fun cube based brain gym cognitive function assessment system.

    Science.gov (United States)

    Zhang, Tao; Lin, Chung-Chih; Yu, Tsang-Chu; Sun, Jing; Hsu, Wen-Chuin; Wong, Alice May-Kuen

    2017-05-01

    The aim of this study is to design and develop a fun cube (FC) based brain gym (BG) cognitive function assessment system using the wireless sensor network and multimedia technologies. The system comprised (1) interaction devices, FCs and a workstation used as interactive tools for collecting and transferring data to the server, (2) a BG information management system responsible for managing the cognitive games and storing test results, and (3) a feedback system used for conducting the analysis of cognitive functions to assist caregivers in screening high risk groups with mild cognitive impairment. Three kinds of experiments were performed to evaluate the developed FC-based BG cognitive function assessment system. The experimental results showed that the Pearson correlation coefficient between the system's evaluation outcomes and the traditional Montreal Cognitive Assessment scores was 0.83. The average Technology Acceptance Model 2 score was close to six for 31 elderly subjects. Most subjects considered that the brain games are interesting and the FC human-machine interface is easy to learn and operate. The control group and the cognitive impairment group had statistically significant difference with respect to the accuracy of and the time taken for the brain cognitive function assessment games, including Animal Naming, Color Search, Trail Making Test, Change Blindness, and Forward / Backward Digit Span. Copyright © 2017 Elsevier Ltd. All rights reserved.

  13. Multidimensional Learner Model In Intelligent Learning System

    Science.gov (United States)

    Deliyska, B.; Rozeva, A.

    2009-11-01

    The learner model in an intelligent learning system (ILS) has to ensure the personalization (individualization) and the adaptability of e-learning in an online learner-centered environment. ILS is a distributed e-learning system whose modules can be independent and located in different nodes (servers) on the Web. This kind of e-learning is achieved through the resources of the Semantic Web and is designed and developed around a course, group of courses or specialty. An essential part of ILS is learner model database which contains structured data about learner profile and temporal status in the learning process of one or more courses. In the paper a learner model position in ILS is considered and a relational database is designed from learner's domain ontology. Multidimensional modeling agent for the source database is designed and resultant learner data cube is presented. Agent's modules are proposed with corresponding algorithms and procedures. Multidimensional (OLAP) analysis guidelines on the resultant learner module for designing dynamic learning strategy have been highlighted.

  14. Adaptive Landmark-Based Navigation System Using Learning Techniques

    DEFF Research Database (Denmark)

    Zeidan, Bassel; Dasgupta, Sakyasingha; Wörgötter, Florentin

    2014-01-01

    The goal-directed navigational ability of animals is an essential prerequisite for them to survive. They can learn to navigate to a distal goal in a complex environment. During this long-distance navigation, they exploit environmental features, like landmarks, to guide them towards their goal. In...... hexapod robots. As a result, it allows the robots to successfully learn to navigate to distal goals in complex environments.......The goal-directed navigational ability of animals is an essential prerequisite for them to survive. They can learn to navigate to a distal goal in a complex environment. During this long-distance navigation, they exploit environmental features, like landmarks, to guide them towards their goal....... Inspired by this, we develop an adaptive landmark-based navigation system based on sequential reinforcement learning. In addition, correlation-based learning is also integrated into the system to improve learning performance. The proposed system has been applied to simulated simple wheeled and more complex...

  15. Research on cultivating medical students' self-learning ability using teaching system integrated with learning analysis technology.

    Science.gov (United States)

    Luo, Hong; Wu, Cheng; He, Qian; Wang, Shi-Yong; Ma, Xiu-Qiang; Wang, Ri; Li, Bing; He, Jia

    2015-01-01

    Along with the advancement of information technology and the era of big data education, using learning process data to provide strategic decision-making in cultivating and improving medical students' self-learning ability has become a trend in educational research. Educator Abuwen Toffler said once, the illiterates in the future may not be the people not able to read and write, but not capable to know how to learn. Serving as educational institutions cultivating medical students' learning ability, colleges and universities should not only instruct specific professional knowledge and skills, but also develop medical students' self-learning ability. In this research, we built a teaching system which can help to restore medical students' self-learning processes and analyze their learning outcomes and behaviors. To evaluate the effectiveness of the system in supporting medical students' self-learning, an experiment was conducted in 116 medical students from two grades. The results indicated that problems in self-learning process through this system was consistent with problems raised from traditional classroom teaching. Moreover, the experimental group (using this system) acted better than control group (using traditional classroom teaching) to some extent. Thus, this system can not only help medical students to develop their self-learning ability, but also enhances the ability of teachers to target medical students' questions quickly, improving the efficiency of answering questions in class.

  16. Beyond static assessment of children's receptive vocabulary: the dynamic assessment of word learning (DAWL).

    Science.gov (United States)

    Camilleri, Bernard; Botting, Nicola

    2013-01-01

    Children's low scores on vocabulary tests are often erroneously interpreted as reflecting poor cognitive and/or language skills. It may be necessary to incorporate the measurement of word-learning ability in estimating children's lexical abilities. To explore the reliability and validity of the Dynamic Assessment of Word Learning (DAWL), a new dynamic assessment of receptive vocabulary. A dynamic assessment (DA) of word learning ability was developed and adopted within a nursery school setting with 15 children aged between 3;07 and 4;03, ten of whom had been referred to speech and language therapy. A number of quantitative measures were derived from the DA procedure, including measures of children's ability to identify the targeted items and to generalize to a second exemplar, as well as measures of children's ability to retain the targeted items. Internal, inter-rater and test-retest reliability of the DAWL was established as well as correlational measures of concurrent and predictive validity. The DAWL was found to provide both quantitative and qualitative information which could be used to improve the accuracy of differential diagnosis and the understanding of processes underlying the child's performance. The latter can be used for the purpose of designing more individualized interventions. © 2013 Royal College of Speech and Language Therapists.

  17. Fuzzy self-learning control for magnetic servo system

    Science.gov (United States)

    Tarn, J. H.; Kuo, L. T.; Juang, K. Y.; Lin, C. E.

    1994-01-01

    It is known that an effective control system is the key condition for successful implementation of high-performance magnetic servo systems. Major issues to design such control systems are nonlinearity; unmodeled dynamics, such as secondary effects for copper resistance, stray fields, and saturation; and that disturbance rejection for the load effect reacts directly on the servo system without transmission elements. One typical approach to design control systems under these conditions is a special type of nonlinear feedback called gain scheduling. It accommodates linear regulators whose parameters are changed as a function of operating conditions in a preprogrammed way. In this paper, an on-line learning fuzzy control strategy is proposed. To inherit the wealth of linear control design, the relations between linear feedback and fuzzy logic controllers have been established. The exercise of engineering axioms of linear control design is thus transformed into tuning of appropriate fuzzy parameters. Furthermore, fuzzy logic control brings the domain of candidate control laws from linear into nonlinear, and brings new prospects into design of the local controllers. On the other hand, a self-learning scheme is utilized to automatically tune the fuzzy rule base. It is based on network learning infrastructure; statistical approximation to assign credit; animal learning method to update the reinforcement map with a fast learning rate; and temporal difference predictive scheme to optimize the control laws. Different from supervised and statistical unsupervised learning schemes, the proposed method learns on-line from past experience and information from the process and forms a rule base of an FLC system from randomly assigned initial control rules.

  18. Using Learning and Motivation Theories to Coherently Link Formative Assessment, Grading Practices, and Large-Scale Assessment

    Science.gov (United States)

    Shepard, L. A.; Penuel, W. R.; Pellegrino, J. W.

    2018-01-01

    To support equitable and ambitious teaching practices, classroom assessment design must be grounded in a research-based theory of learning. Compared to other theories, sociocultural theory offers a more powerful, integrative account of how motivational aspects of learning--such as self-regulation, self-efficacy, sense of belonging, and…

  19. Expeditionary Learning in Information Systems: Definition, Implementation, and Assessment

    Science.gov (United States)

    Abrahams, Alan S.; Singh, Tirna

    2013-01-01

    In the natural sciences, collecting, cataloguing, and comparing living specimens have long been a popular, collaborative mode of discovery and learning. New species are discovered, and the relationships between species are theorized. From Aristotle's "History of Animals" to Darwin's "On the Origin of Species", and beyond, this…

  20. Multiple systems for motor skill learning.

    Science.gov (United States)

    Clark, Dav; Ivry, Richard B

    2010-07-01

    Motor learning is a ubiquitous feature of human competence. This review focuses on two particular classes of model tasks for studying skill acquisition. The serial reaction time (SRT) task is used to probe how people learn sequences of actions, while adaptation in the context of visuomotor or force field perturbations serves to illustrate how preexisting movements are recalibrated in novel environments. These tasks highlight important issues regarding the representational changes that occur during the course of motor learning. One important theme is that distinct mechanisms vary in their information processing costs during learning and performance. Fast learning processes may require few trials to produce large changes in performance but impose demands on cognitive resources. Slower processes are limited in their ability to integrate complex information but minimally demanding in terms of attention or processing resources. The representations derived from fast systems may be accessible to conscious processing and provide a relatively greater measure of flexibility, while the representations derived from slower systems are more inflexible and automatic in their behavior. In exploring these issues, we focus on how multiple neural systems may interact and compete during the acquisition and consolidation of new behaviors. Copyright © 2010 John Wiley & Sons, Ltd. This article is categorized under: Psychology > Motor Skill and Performance. Copyright © 2010 John Wiley & Sons, Ltd.

  1. A presentation system for just-in-time learning in radiology.

    Science.gov (United States)

    Kahn, Charles E; Santos, Amadeu; Thao, Cheng; Rock, Jayson J; Nagy, Paul G; Ehlers, Kevin C

    2007-03-01

    There is growing interest in bringing medical educational materials to the point of care. We sought to develop a system for just-in-time learning in radiology. A database of 34 learning modules was derived from previously published journal articles. Learning objectives were specified for each module, and multiple-choice test items were created. A web-based system-called TEMPO-was developed to allow radiologists to select and view the learning modules. Web services were used to exchange clinical context information between TEMPO and the simulated radiology work station. Preliminary evaluation was conducted using the System Usability Scale (SUS) questionnaire. TEMPO identified learning modules that were relevant to the age, sex, imaging modality, and body part or organ system of the patient being viewed by the radiologist on the simulated clinical work station. Users expressed a high degree of satisfaction with the system's design and user interface. TEMPO enables just-in-time learning in radiology, and can be extended to create a fully functional learning management system for point-of-care learning in radiology.

  2. Adaptive polymeric system for Hebbian type learning

    OpenAIRE

    2011-01-01

    Abstract We present the experimental realization of an adaptive polymeric system displaying a ?learning behaviour?. The system consists on a statistically organized networks of memristive elements (memory-resitors) based on polyaniline. In a such network the path followed by the current increments its conductivity, a property which makes the system able to mimic Hebbian type learning and have application in hardware neural networks. After discussing the working principle of ...

  3. Adaptive E-learning System in Secondary Education

    Directory of Open Access Journals (Sweden)

    Sofija Tosheva

    2012-02-01

    Full Text Available In this paper we describe an adaptive web application E-school, where students can adjust some features according to their preferences and learning style. This e-learning environment enables monitoring students progress, total time students have spent in the system, their activity on the forums, the overall achievements in lessons learned, tests performed and solutions to given projects. Personalized assistance that teacher provides in a traditional classroom is not easy to implement. Students have regular contact with teachers using e-mail tools and conversation, so teacher get mentoring role for each student. The results of exploitation of the e-learning system show positive impact in acquiring the material and improvement of student’s achievements.

  4. Intelligent e-Learning Systems: An Educational Paradigm Shift

    Directory of Open Access Journals (Sweden)

    Suman Bhattacharya

    2016-12-01

    Full Text Available Learning is the long process of transforming information as well as experience into knowledge, skills, attitude and behaviors. To make up the wide gap between the demand of increasing higher education and comparatively limited resources, more and more educational institutes are looking into instructional technology. Use of online resources not only reduces the cost of education but also meet the needs of society. Intelligent e-learning has become one of the important channels to reach out to students exceeding geographic boundaries. Besides this, the characteristics of e-learning have complicated the process of education, and have brought challenges to both instructors and students. This paper will focus on the discussion of different discipline of intelligent e-learning like scaffolding based e-learning, personalized e-learning, confidence based e-learning, intelligent tutoring system, etc. to illuminate the educational paradigm shift in intelligent e-learning system.

  5. Simulation of noisy dynamical system by Deep Learning

    Science.gov (United States)

    Yeo, Kyongmin

    2017-11-01

    Deep learning has attracted huge attention due to its powerful representation capability. However, most of the studies on deep learning have been focused on visual analytics or language modeling and the capability of the deep learning in modeling dynamical systems is not well understood. In this study, we use a recurrent neural network to model noisy nonlinear dynamical systems. In particular, we use a long short-term memory (LSTM) network, which constructs internal nonlinear dynamics systems. We propose a cross-entropy loss with spatial ridge regularization to learn a non-stationary conditional probability distribution from a noisy nonlinear dynamical system. A Monte Carlo procedure to perform time-marching simulations by using the LSTM is presented. The behavior of the LSTM is studied by using noisy, forced Van der Pol oscillator and Ikeda equation.

  6. Courseware Development with Animated Pedagogical Agents in Learning System to Improve Learning Motivation

    Science.gov (United States)

    Chin, Kai-Yi; Hong, Zeng-Wei; Huang, Yueh-Min; Shen, Wei-Wei; Lin, Jim-Min

    2016-01-01

    The addition of animated pedagogical agents (APAs) in computer-assisted learning (CAL) systems could successfully enhance students' learning motivation and engagement in learning activities. Conventionally, the APA incorporated multimedia materials are constructed through the cooperation of teachers and software programmers. However, the thinking…

  7. Experiences with establishing and implementing learning management system and computer-based test system in medical college.

    Science.gov (United States)

    Park, Joo Hyun; Son, Ji Young; Kim, Sun

    2012-09-01

    The purpose of this study was to establish an e-learning system to support learning in medical education and identify solutions for improving the system. A learning management system (LMS) and computer-based test (CBT) system were established to support e-learning for medical students. A survey of 219 first- and second-grade medical students was administered. The questionnaire included 9 forced choice questions about the usability of system and 2 open-ended questions about necessary improvements to the system. The LMS consisted of a class management, class evaluation, and class attendance system. CBT consisted of a test management, item bank, and authoring tool system. The results of the survey showed a high level of satisfaction in all system usability items except for stability. Further, the advantages of the e-learning system were ensuring information accessibility, providing constant feedback, and designing an intuitive interface. Necessary improvements to the system were stability, user control, readability, and diverse device usage. Based on the findings, suggestions for developing an e-learning system to improve usability by medical students and support learning effectively are recommended.

  8. Patterns for Designing Learning Management Systems

    NARCIS (Netherlands)

    Avgeriou, Paris; Retalis, Symeon; Papasalouros, Andreas

    2003-01-01

    Learning Management Systems are sophisticated web-based applications that are being engineered today in increasing numbers by numerous institutions and companies that want to get involved in e-learning either for providing services to third parties, or for educating and training their own people.

  9. On-line transient stability assessment of large-scale power systems by using ball vector machines

    International Nuclear Information System (INIS)

    Mohammadi, M.; Gharehpetian, G.B.

    2010-01-01

    In this paper ball vector machine (BVM) has been used for on-line transient stability assessment of large-scale power systems. To classify the system transient security status, a BVM has been trained for all contingencies. The proposed BVM based security assessment algorithm has very small training time and space in comparison with artificial neural networks (ANN), support vector machines (SVM) and other machine learning based algorithms. In addition, the proposed algorithm has less support vectors (SV) and therefore is faster than existing algorithms for on-line applications. One of the main points, to apply a machine learning method is feature selection. In this paper, a new Decision Tree (DT) based feature selection technique has been presented. The proposed BVM based algorithm has been applied to New England 39-bus power system. The simulation results show the effectiveness and the stability of the proposed method for on-line transient stability assessment procedure of large-scale power system. The proposed feature selection algorithm has been compared with different feature selection algorithms. The simulation results demonstrate the effectiveness of the proposed feature algorithm.

  10. The Greatest Learning Return on Your Pedagogical Investment: Alignment, Assessment or In-Class Instruction?

    Science.gov (United States)

    Holt, Emily A; Young, Craig; Keetch, Jared; Larsen, Skylar; Mollner, Brayden

    2015-01-01

    Critical thinking is often considered an essential learning outcome of institutions in higher education. Previous work has proposed three pedagogical strategies to address this goal: more active, student-centered in-class instruction, assessments which contain higher-order cognitive questions, and greater alignment within a classroom (i.e., high agreement of the cognitive level of learning objectives, assessments, and in-class instruction). Our goals were to determine which of these factors, individually or the interactions therein, contributed most to improvements in university students' critical thinking. We assessed students' higher-order cognitive skills in introductory non-majors biology courses the first and last week of instruction. For each of the fifteen sections observed, we also measured the cognitive level of assessments and learning objectives, evaluated the learner-centeredness of each classroom, and calculated an alignment score for each class. The best model to explain improvements in students' high-order cognitive skills contained the measure of learner-centeredness of the class and pre-quiz scores as a covariate. The cognitive level of assessments, learning objectives, nor alignment explained improvements in students' critical thinking. In accordance with much of the current literature, our findings support that more student-centered classes had greater improvements in student learning. However, more research is needed to clarify the role of assessment and alignment in student learning.

  11. The Greatest Learning Return on Your Pedagogical Investment: Alignment, Assessment or In-Class Instruction?

    Directory of Open Access Journals (Sweden)

    Emily A Holt

    Full Text Available Critical thinking is often considered an essential learning outcome of institutions in higher education. Previous work has proposed three pedagogical strategies to address this goal: more active, student-centered in-class instruction, assessments which contain higher-order cognitive questions, and greater alignment within a classroom (i.e., high agreement of the cognitive level of learning objectives, assessments, and in-class instruction. Our goals were to determine which of these factors, individually or the interactions therein, contributed most to improvements in university students' critical thinking. We assessed students' higher-order cognitive skills in introductory non-majors biology courses the first and last week of instruction. For each of the fifteen sections observed, we also measured the cognitive level of assessments and learning objectives, evaluated the learner-centeredness of each classroom, and calculated an alignment score for each class. The best model to explain improvements in students' high-order cognitive skills contained the measure of learner-centeredness of the class and pre-quiz scores as a covariate. The cognitive level of assessments, learning objectives, nor alignment explained improvements in students' critical thinking. In accordance with much of the current literature, our findings support that more student-centered classes had greater improvements in student learning. However, more research is needed to clarify the role of assessment and alignment in student learning.

  12. Which Recommender System Can Best Fit Social Learning Platforms?

    NARCIS (Netherlands)

    Fazeli, Soude; Loni, Babak; Drachsler, Hendrik; Sloep, Peter

    2014-01-01

    This study aims to develop a recommender system for social learning platforms that combine traditional learning management systems with commercial social networks like Facebook. We therefore take into account social interactions of users to make recommendations on learning resources. We propose to

  13. Prototype learning and dissociable categorization systems in Alzheimer's disease.

    Science.gov (United States)

    Heindel, William C; Festa, Elena K; Ott, Brian R; Landy, Kelly M; Salmon, David P

    2013-08-01

    Recent neuroimaging studies suggest that prototype learning may be mediated by at least two dissociable memory systems depending on the mode of acquisition, with A/Not-A prototype learning dependent upon a perceptual representation system located within posterior visual cortex and A/B prototype learning dependent upon a declarative memory system associated with medial temporal and frontal regions. The degree to which patients with Alzheimer's disease (AD) can acquire new categorical information may therefore critically depend upon the mode of acquisition. The present study examined A/Not-A and A/B prototype learning in AD patients using procedures that allowed direct comparison of learning across tasks. Despite impaired explicit recall of category features in all tasks, patients showed differential patterns of category acquisition across tasks. First, AD patients demonstrated impaired prototype induction along with intact exemplar classification under incidental A/Not-A conditions, suggesting that the loss of functional connectivity within visual cortical areas disrupted the integration processes supporting prototype induction within the perceptual representation system. Second, AD patients demonstrated intact prototype induction but impaired exemplar classification during A/B learning under observational conditions, suggesting that this form of prototype learning is dependent on a declarative memory system that is disrupted in AD. Third, the surprisingly intact classification of both prototypes and exemplars during A/B learning under trial-and-error feedback conditions suggests that AD patients shifted control from their deficient declarative memory system to a feedback-dependent procedural memory system when training conditions allowed. Taken together, these findings serve to not only increase our understanding of category learning in AD, but to also provide new insights into the ways in which different memory systems interact to support the acquisition of

  14. Hysteroscopic sterilization using a virtual reality simulator: assessment of learning curve.

    Science.gov (United States)

    Janse, Juliënne A; Goedegebuure, Ruben S A; Veersema, Sebastiaan; Broekmans, Frank J M; Schreuder, Henk W R

    2013-01-01

    To assess the learning curve using a virtual reality simulator for hysteroscopic sterilization with the Essure method. Prospective multicenter study (Canadian Task Force classification II-2). University and teaching hospital in the Netherlands. Thirty novices (medical students) and five experts (gynecologists who had performed >150 Essure sterilization procedures). All participants performed nine repetitions of bilateral Essure placement on the simulator. Novices returned after 2 weeks and performed a second series of five repetitions to assess retention of skills. Structured observations on performance using the Global Rating Scale and parameters derived from the simulator provided measurements for analysis. The learning curve is represented by improvement per procedure. Two-way repeated-measures analysis of variance was used to analyze learning curves. Effect size (ES) was calculated to express the practical significance of the results (ES ≥ 0.50 indicates a large learning effect). For all parameters, significant improvements were found in novice performance within nine repetitions. Large learning effects were established for six of eight parameters (p learning curve established in this study endorses future implementation of the simulator in curricula on hysteroscopic skill acquisition for clinicians who are interested in learning this sterilization technique. Copyright © 2013 AAGL. Published by Elsevier Inc. All rights reserved.

  15. Assessing the impact of blended learning on student performance

    OpenAIRE

    Do Won Kwak; Flavio Menezes; Carl Sherwood

    2013-01-01

    This paper assesses quantitatively the impact on student performance of a blended learning experiment within a large undergraduate first year course in statistics for business and economics students. We employ a differences- in-difference econometric approach, which controls for differences in student characteristics and course delivery method, to evaluate the impact of blended learning on student performance. Although students in the course manifest a preference for live lectures over online...

  16. Better Assessments Require Better Assessment Literacy

    Science.gov (United States)

    Stiggins, Rick

    2018-01-01

    Stiggins says that, to build better assessment systems, educators and education leaders need more opportunities to learn the basic principles of sound assessment practice. He lays out what he views as the fundamental elements of assessment literacy.

  17. Prior learning assessment and quality assurance practice ...

    African Journals Online (AJOL)

    The use of RPL (Recognition of Prior Learning) in higher education to assess RPL candidates for admission into programmes of study met with a lot of criticism from faculty academics. Lecturers viewed the possibility of admitting large numbers of under-qualified adult learners, as a threat to the institution's reputation, or an ...

  18. An Assistive Computerized System with Tangible User Interfaces for Children with Moderate Intellectual and Learning Disabilities

    Directory of Open Access Journals (Sweden)

    Jihad Mohamad Aljaam

    2011-05-01

    Full Text Available In this paper we propose an assistive learning system for children with moderate intellectual and learning disabilities that supports collaboration, data exploration, communication and creativity. The system offers a wide range of tutorials on basic concepts of elementary sciences with some edutainment games and puzzles based on different tangible user interfaces TUIs. The system can enhance the communications, memorization, reasoning and learning capabilities of the children with special needs. The tutorials contain multimedia elements that help the children understand effectively the topics and allow them to interact and be more proactive. An assessment component is developed to evaluate the children understanding. Parents are actively involved in the learning process by being able to add or customize contents specific to their children. The children can use the TUIs alone and get prompted on all the steps to perform some daily activities like the school day activity, the tooth brushing activity, etc. This will increase their self-reliance and self-dependence.

  19. The Learning Loss Scale as an Assessment Tool: An Empirical Examination of Convergent Validity with Performative Measures

    Science.gov (United States)

    Hooker, John; Denker, Katherine

    2014-01-01

    Higher education has placed an increasingly greater value on assessment. The Learning Loss Scale may be an appropriate tool to assess learning across disciplines. In this paper, we review the culture of assessment, conceptualizations of cognitive learning, the Learning Loss Scale, and a theoretical explanation, and then we test this measure to…

  20. Could a Mobile-Assisted Learning System Support Flipped Classrooms for Classical Chinese Learning?

    Science.gov (United States)

    Wang, Y.-H.

    2016-01-01

    In this study, the researcher aimed to develop a mobile-assisted learning system and to investigate whether it could promote teenage learners' classical Chinese learning through the flipped classroom approach. The researcher first proposed the structure of the Cross-device Mobile-Assisted Classical Chinese (CMACC) system according to the pilot…

  1. IMPROVING CAUSE DETECTION SYSTEMS WITH ACTIVE LEARNING

    Data.gov (United States)

    National Aeronautics and Space Administration — IMPROVING CAUSE DETECTION SYSTEMS WITH ACTIVE LEARNING ISAAC PERSING AND VINCENT NG Abstract. Active learning has been successfully applied to many natural language...

  2. The development of a learning management system for dental radiology education: A technical report

    Energy Technology Data Exchange (ETDEWEB)

    Chang, Hee Jin; Huh, Kyung Hoe; Yi, Won Jin; Heo, Min Suk; Lee, Sam Sun; Choi, Soon Chul [Dept. of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul (Korea, Republic of); Symkhampha, Khanthaly [Div. of Oral and Maxillofacial Radiology, Dept. of Basic Science, Faculty of Dentistry, University of Health Sciences, Vientiane (Lao People' s Democratic Republic)

    2017-03-15

    This study was conducted to suggest the development of a learning management system for dental radiology education using the Modular Object-Oriented Dynamic Learning Environment (Moodle). Moodle is a well-known and verified open-source software-learning management system (OSS-LMS). The Moodle software was installed on a server computer and customized for dental radiology education. The system was implemented for teaching undergraduate students to diagnose dental caries in panoramic images. Questions were chosen that could assess students' diagnosis ability. Students were given several questions corresponding to each of 100 panoramic images. The installation and customization of Moodle was feasible, cost-effective, and time-saving. By having students answer questions repeatedly, it was possible to train them to examine panoramic images sequentially and thoroughly. Based on its educational efficiency and efficacy, the adaptation of an OSS-LMS in dental school may be highly recommended. The system could be extended to continuing education for dentists. Further studies on the objective evaluation of knowledge acquisition and retention are needed.

  3. The development of a learning management system for dental radiology education: A technical report.

    Science.gov (United States)

    Chang, Hee-Jin; Symkhampha, Khanthaly; Huh, Kyung-Hoe; Yi, Won-Jin; Heo, Min-Suk; Lee, Sam-Sun; Choi, Soon-Chul

    2017-03-01

    This study was conducted to suggest the development of a learning management system for dental radiology education using the Modular Object-Oriented Dynamic Learning Environment (Moodle). Moodle is a well-known and verified open-source software-learning management system (OSS-LMS). The Moodle software was installed on a server computer and customized for dental radiology education. The system was implemented for teaching undergraduate students to diagnose dental caries in panoramic images. Questions were chosen that could assess students' diagnosis ability. Students were given several questions corre-sponding to each of 100 panoramic images. The installation and customization of Moodle was feasible, cost-effective, and time-saving. By having students answer questions repeatedly, it was possible to train them to examine panoramic images sequentially and thoroughly. Based on its educational efficiency and efficacy, the adaptation of an OSS-LMS in dental school may be highly recommended. The system could be extended to continuing education for dentists. Further studies on the objective evaluation of knowledge acquisition and retention are needed.

  4. How much is too much assessment? Insight into assessment-driven student learning gains in large-scale undergraduate microbiology courses.

    Science.gov (United States)

    Wang, Jack T H; Schembri, Mark A; Hall, Roy A

    2013-01-01

    Designing and implementing assessment tasks in large-scale undergraduate science courses is a labor-intensive process subject to increasing scrutiny from students and quality assurance authorities alike. Recent pedagogical research has provided conceptual frameworks for teaching introductory undergraduate microbiology, but has yet to define best-practice assessment guidelines. This study assessed the applicability of Biggs' theory of constructive alignment in designing consistent learning objectives, activities, and assessment items that aligned with the American Society for Microbiology's concept-based microbiology curriculum in MICR2000, an introductory microbiology course offered at the University of Queensland, Australia. By improving the internal consistency in assessment criteria and increasing the number of assessment items explicitly aligned to the course learning objectives, the teaching team was able to efficiently provide adequate feedback on numerous assessment tasks throughout the semester, which contributed to improved student performance and learning gains. When comparing the constructively aligned 2011 offering of MICR2000 with its 2010 counterpart, students obtained higher marks in both coursework assignments and examinations as the semester progressed. Students also valued the additional feedback provided, as student rankings for course feedback provision increased in 2011 and assessment and feedback was identified as a key strength of MICR2000. By designing MICR2000 using constructive alignment and iterative assessment tasks that followed a common set of learning outcomes, the teaching team was able to effectively deliver detailed and timely feedback in a large introductory microbiology course. This study serves as a case study for how constructive alignment can be integrated into modern teaching practices for large-scale courses.

  5. LONS: Learning Object Negotiation System

    Science.gov (United States)

    García, Antonio; García, Eva; de-Marcos, Luis; Martínez, José-Javier; Gutiérrez, José-María; Gutiérrez, José-Antonio; Barchino, Roberto; Otón, Salvador; Hilera, José-Ramón

    This system comes up as a result of the increase of e-learning systems. It manages all relevant modules in this context, such as the association of digital rights with the contents (courses), management and payment processing on rights. There are three blocks:

  6. Maze learning by a hybrid brain-computer system.

    Science.gov (United States)

    Wu, Zhaohui; Zheng, Nenggan; Zhang, Shaowu; Zheng, Xiaoxiang; Gao, Liqiang; Su, Lijuan

    2016-09-13

    The combination of biological and artificial intelligence is particularly driven by two major strands of research: one involves the control of mechanical, usually prosthetic, devices by conscious biological subjects, whereas the other involves the control of animal behaviour by stimulating nervous systems electrically or optically. However, to our knowledge, no study has demonstrated that spatial learning in a computer-based system can affect the learning and decision making behaviour of the biological component, namely a rat, when these two types of intelligence are wired together to form a new intelligent entity. Here, we show how rule operations conducted by computing components contribute to a novel hybrid brain-computer system, i.e., ratbots, exhibit superior learning abilities in a maze learning task, even when their vision and whisker sensation were blocked. We anticipate that our study will encourage other researchers to investigate combinations of various rule operations and other artificial intelligence algorithms with the learning and memory processes of organic brains to develop more powerful cyborg intelligence systems. Our results potentially have profound implications for a variety of applications in intelligent systems and neural rehabilitation.

  7. Maze learning by a hybrid brain-computer system

    Science.gov (United States)

    Wu, Zhaohui; Zheng, Nenggan; Zhang, Shaowu; Zheng, Xiaoxiang; Gao, Liqiang; Su, Lijuan

    2016-09-01

    The combination of biological and artificial intelligence is particularly driven by two major strands of research: one involves the control of mechanical, usually prosthetic, devices by conscious biological subjects, whereas the other involves the control of animal behaviour by stimulating nervous systems electrically or optically. However, to our knowledge, no study has demonstrated that spatial learning in a computer-based system can affect the learning and decision making behaviour of the biological component, namely a rat, when these two types of intelligence are wired together to form a new intelligent entity. Here, we show how rule operations conducted by computing components contribute to a novel hybrid brain-computer system, i.e., ratbots, exhibit superior learning abilities in a maze learning task, even when their vision and whisker sensation were blocked. We anticipate that our study will encourage other researchers to investigate combinations of various rule operations and other artificial intelligence algorithms with the learning and memory processes of organic brains to develop more powerful cyborg intelligence systems. Our results potentially have profound implications for a variety of applications in intelligent systems and neural rehabilitation.

  8. [Multi-course web-learning system for supporting students of medical technology].

    Science.gov (United States)

    Honma, Satoru; Wakamatsu, Hidetoshi; Kurihara, Yuriko; Yoshida, Shoko; Sakai, Nobue

    2013-05-01

    Web-Learning system was developed to support the self-learning for national qualification examination and medical engineering practice by students. The results from small tests in various situations suggest that the unit-learning systems are more effective, especially for the early stage of their self learning. In addition, the answers of some questionnaire suggest that the students' motivation has a certain relation with the number of the questions in the system. That is, the less number of the questions, the easier they are worked out with a higher learning motivation by students. Thus, the system was extended to enable students to study various subjects and/or units by themselves. The system enables them to have learning effects more easily by the exercise during lectures. The effectiveness of the system was investigated on medical associated subjects installed in the system. The concerning questions of Medical engineering and Pathological histology are adequately divided into several groups, of which sixteen Web-Learning subsystems were well composed for their practical application. Our concerning various unit-learning systems were confirmed much useful for most students comparing with the case of the overall Web-Learning system.

  9. Building machine learning systems with Python

    CERN Document Server

    Richert, Willi

    2013-01-01

    This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and experienced the power of ML-based systems by actually working on them.This book primarily targets Python developers who want to learn about and build Machine Learning into their projects, or who want to pro

  10. Repetitive learning control of continuous chaotic systems

    International Nuclear Information System (INIS)

    Chen Maoyin; Shang Yun; Zhou Donghua

    2004-01-01

    Combining a shift method and the repetitive learning strategy, a repetitive learning controller is proposed to stabilize unstable periodic orbits (UPOs) within chaotic attractors in the sense of least mean square. If nonlinear parts in chaotic systems satisfy Lipschitz condition, the proposed controller can be simplified into a simple proportional repetitive learning controller

  11. Expert Students in Social Learning Management Systems

    Science.gov (United States)

    Avogadro, Paolo; Calegari, Silvia; Dominoni, Matteo Alessandro

    2016-01-01

    Purpose: A social learning management system (social LMS) is a tool which favors social interactions and allows scholastic institutions to supervise and guide the learning process. The inclusion of the social feature to a "normal" LMS leads to the creation of educational social networks (EduSN), where the students interact and learn. The…

  12. A Social Learning Management System Supporting Feedback for Incorrect Answers Based on Social Network Services

    Science.gov (United States)

    Son, Jiseong; Kim, Jeong-Dong; Na, Hong-Seok; Baik, Doo-Kwon

    2016-01-01

    In this research, we propose a Social Learning Management System (SLMS) enabling real-time and reliable feedback for incorrect answers by learners using a social network service (SNS). The proposed system increases the accuracy of learners' assessment results by using a confidence scale and a variety of social feedback that is created and shared…

  13. Intensitas Perilaku Pengguna E-learning System dengan Model Utaut

    OpenAIRE

    Sari, Fatma; Purnamasari, Susan Dian

    2013-01-01

    This study aims to determine behavioral intention in the use of e-learning system using models UTAUT. The phenomenon underlying the research is: It is not yet optimal use of e-learning by students information systems in the learning process, not yet optimal socialization of the existence of e-learning, so that is not maximized and yet utilization measurability of the impact of using e-learning for lecturers.This study is limited in its scope: analysis of the influence of performance expectanc...

  14. The effects of student self-assessment on learning in removable prosthodontics laboratory.

    Science.gov (United States)

    Chambers, David W; LaBarre, Eugene E

    2014-05-01

    It has been consistently shown that there is a weak association between student self-assessment and faculty member assessment of student projects in preclinical technique laboratory settings and that students overestimate their performance. Greater overestimation is observed among students judged by faculty to be the weakest, and these students also use a wider range of scores. This study hypothesized that student self-assessment is a function of capacity to perform, accuracy of understanding grading standards, and psychological factors. Further it hypothesized that learning, defined as change in performance, is a function of ability and self-assessment. Dental students at one U.S. dental school self-assessed their performance on two projects in a removable prosthodontics laboratory course separated by a six-month period. Faculty evaluations of these projects were used to determine students' understanding of the criteria for the projects, and a standardized psychological test was used to assess the learning orientation of the students. A statistical correction was made for the artifact of regression toward the mean. The study found that self-assessment was a better predictor of future learning under these circumstances than was evaluation by faculty members.

  15. DESIGNING MOTIVATIONAL LEARNING SYSTEMS IN DISTANCE EDUCATION

    Directory of Open Access Journals (Sweden)

    Jale BALABAN-SALI

    2008-07-01

    Full Text Available ABSTRACT The designing of instruction, when considered as a process, is the determination of instructional requirements of the learner and development of functional learning systems in order to meet these requirements. In fact, as a consequence of studies on the development of effective learning systems some instructional design theories have emerged. Among these theories the motivational design theory points out that instructional processes are required to be configured with the strategies which increases the attention, relevance, confidence and satisfaction of the students for an instructional design which ensures the continuity of learning motivation. The studies indicate that the systems which are developed on the basis of mentioned strategies raise the attention of the student during instruction, develop a relevance to the students’ requirements, create a positive expectation for success and help having a satisfaction by reinforcing success. In this article, the empirical studies related with this subject and the suggestions for presenting more effective motivational instructional designs in distance learning are summarized.

  16. An Architecture for Online Laboratory E-Learning System

    Science.gov (United States)

    Duan, Bing; Hosseini, Habib Mir M.; Ling, Keck Voon; Gay, Robert Kheng Leng

    2006-01-01

    Internet-based learning systems, or e-learning, are widely available in institutes, universities, and industrial companies, hosting regular or continuous education programs. The dream of teaching and learning from anywhere and at anytime becomes a reality due to the construction of e-learning infrastructure. Traditional teaching materials and…

  17. Design guidelines for self-assessment support for adult academic distance learning

    NARCIS (Netherlands)

    Menendez Blanco, Maria; Van der Veer, Gerrit; Benvenuti, Laura; Kirschner, Paul A.

    2011-01-01

    Menendez Blanco, M., Van der Veer, G., Benvenuti, L., & Kirschner, P. A. (2011). Design guidelines for self-assessment support for adult academic distance learning. In H-J Shalin (Ed.), Constructing self-discovery learning spaces online: scaffolding and decision making technologies (pp. 169-198).

  18. Gaining Insight into Business Telecommunications Students through the Assessment of Learning Styles

    Science.gov (United States)

    Sandman, Thomas E.

    2009-01-01

    The assessment of student learning styles can be of significant value for developing and evaluating an appropriate mix of pedagogical techniques and activities. With this in mind, learning style preferences were collected from over 300 undergraduate business telecommunications students. These set of data show that a breadth of learning style…

  19. Assessment on the net

    Directory of Open Access Journals (Sweden)

    Joaquín GARCÍA CARRASCO

    2016-03-01

    Full Text Available Evaluation assesses the teaching-learning process, so that there can not be teaching and learning if there are not some defined objectives to be assessed. Currently, there are many virtual learning environments developed, mainly supported by the web, but most of them do not incorporate evaluation modules. Besides, the lack of learning technology standards limits system interoperability and resource reuse.

  20. E-Learning and Personalized Learning Path: A Proposal Based on the Adaptive Educational Hypermedia System

    Directory of Open Access Journals (Sweden)

    Francesco Colace

    2014-03-01

    Full Text Available The E-Learning is becoming an effective approach for the improving of quality of learning. Many institutions are adopting this approach both to improve their traditional courses both to increase the potential audience. In the last period great attention is paid in the introduction of methodologies and techniques for the adaptation of learning process to the real needs of students. In this scenario the Adaptive Educational Hypermedia System can be an effective approach. Adaptive hypermedia is a promising area of research at the crossroads of hypermedia and adaptive systems. One of the most important fields where this approach can be applied is just the e-Learning. In this context the adaptive learning resources selection and sequencing is recognized as among one of the most interesting research questions. An Adaptive Educational Hypermedia System is composed by services for the management of the Knowledge Space, the definition of a User Model, the observation of student during his learning period and, as previously said, the adaptation of the learning path according to the real needs of the students. In particular the use of ontologyཿs formalism for the modeling of the ཿknowledge space࿝ related to the course can increase the sharable of learning objects among similar courses or better contextualize their role in the course. This paper addresses the design problem of an Adaptive hypermedia system by the definition of methodologies able to manage each its components, In particular an original user, learning contents, tracking strategies and adaptation model are developed. The proposed Adaptive Educational Hypermedia System has been integrated in an e-Learning platform and an experimental campaign has been conducted. In particular the proposed approach has been introduced in three different blended courses. A comparison with traditional approach has been described and the obtained results seem to be very promising.

  1. PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale plaque morphology.

    Science.gov (United States)

    Araki, Tadashi; Ikeda, Nobutaka; Shukla, Devarshi; Jain, Pankaj K; Londhe, Narendra D; Shrivastava, Vimal K; Banchhor, Sumit K; Saba, Luca; Nicolaides, Andrew; Shafique, Shoaib; Laird, John R; Suri, Jasjit S

    2016-05-01

    Percutaneous coronary interventional procedures need advance planning prior to stenting or an endarterectomy. Cardiologists use intravascular ultrasound (IVUS) for screening, risk assessment and stratification of coronary artery disease (CAD). We hypothesize that plaque components are vulnerable to rupture due to plaque progression. Currently, there are no standard grayscale IVUS tools for risk assessment of plaque rupture. This paper presents a novel strategy for risk stratification based on plaque morphology embedded with principal component analysis (PCA) for plaque feature dimensionality reduction and dominant feature selection technique. The risk assessment utilizes 56 grayscale coronary features in a machine learning framework while linking information from carotid and coronary plaque burdens due to their common genetic makeup. This system consists of a machine learning paradigm which uses a support vector machine (SVM) combined with PCA for optimal and dominant coronary artery morphological feature extraction. Carotid artery proven intima-media thickness (cIMT) biomarker is adapted as a gold standard during the training phase of the machine learning system. For the performance evaluation, K-fold cross validation protocol is adapted with 20 trials per fold. For choosing the dominant features out of the 56 grayscale features, a polling strategy of PCA is adapted where the original value of the features is unaltered. Different protocols are designed for establishing the stability and reliability criteria of the coronary risk assessment system (cRAS). Using the PCA-based machine learning paradigm and cross-validation protocol, a classification accuracy of 98.43% (AUC 0.98) with K=10 folds using an SVM radial basis function (RBF) kernel was achieved. A reliability index of 97.32% and machine learning stability criteria of 5% were met for the cRAS. This is the first Computer aided design (CADx) system of its kind that is able to demonstrate the ability of coronary

  2. Project-Based Learning with an Online Peer Assessment System in a Photonics Instruction for Enhancing LED Design Skills

    Science.gov (United States)

    Chang, Shu-Hsuan; Wu, Tsung-Chih; Kuo, Yen-Kuang; You, Li-Chih

    2012-01-01

    This study proposed a novel instructional approach, a two-stage LED simulation of Project-based learning (PBL) course with online peer assessment (OPA), and explored how to apply OPA to the different structured problems in a PBL course to enhance students' professional skills in LED design as well as meta-cognitive thinking. The participants of…

  3. Support for system connectivity –Learning from evaluating an evaluation

    DEFF Research Database (Denmark)

    Christensen, Jesper Lindgaard

    been sparse on investigat-ing effects of these as well as on the broader criteria to evaluate the innovation networks and functioning of the system. This paper discusses what are such criteria for evaluating innovation policies that rely on enhanc-ing system connectivity and repair system failures......Innovation is said to be dependent upon collaboration and networks. The innovation system thinking empha-sizes networks but also their supporting informal institutions, learning processes, and the relations between actors in the system. Despite the importance of networks, evaluation studies have......? By way of illustration, and as a mean to be specific on these criteria, the paper discusses the possible rationale for governments to support business angel networks (BAN) and what criteria to apply when evaluating such networks. It is found that applying traditional evaluation criteria for assessing...

  4. The Establishment of an e-Learning System Based on SDT

    Directory of Open Access Journals (Sweden)

    Mihyang Bang

    2014-06-01

    Full Text Available This study established an elementary-school English e-learning system on the basis of theory-based motivation strategies, and verified the effectiveness of the motivation strategies through educational practice and the applicability of traditional motivation theories in e-learning environments. Six motivation strategies were deducted, two from each of the three psychological needs (Autonomy, Competence, Relatedness presupposed as preconditions that increase human motivation based on the Self-Determination Theory. Next, the e-learning system intended to increase intrinsic motivation for English learning was established based on the motivation strategies. Then, this system was used for year-long educational practice in 115 private educational institutes nationwide. Finally, a survey was conducted with 2,300 students to determine whether the e-learning system applying the motivation strategies satisfied the three psychological needs of elementary-school English learners, and whether it improved intrinsic motivation for English studies. Moreover, this study analysed the correlation among motivation strategies, three psychological needs, and five motivation groups. The results revealed that the motivation strategies applied to the e-learning system had a significant influence on the three psychological needs, and those needs had a significant influence on the five motivation groups. This proved the effectiveness of motivation strategies applied to the e-learning system. It was found that SDT, the traditional motivation theory that has been applied to face-to-face classes, is also effective in the e-learning environment. Finally, even in the e-learning environment focusing on individual learning, learners were found to value relationships with others, in addition to competence, which has been studied relatively often in the past. The significance of this study is that it established a theory-based e-learning system and that it is an empirical study

  5. Dataset of two experiments of the application of gamified peer assessment model into online learning environment MeuTutor.

    Science.gov (United States)

    Tenório, Thyago; Bittencourt, Ig Ibert; Isotani, Seiji; Pedro, Alan; Ospina, Patrícia; Tenório, Daniel

    2017-06-01

    In this dataset, we present the collected data of two experiments with the application of the gamified peer assessment model into online learning environment MeuTutor to allow the comparison of the obtained results with others proposed models. MeuTutor is an intelligent tutoring system aims to monitor the learning of the students in a personalized way, ensuring quality education and improving the performance of its members (Tenório et al., 2016) [1]. The first experiment evaluated the effectiveness of the peer assessment model through metrics as final grade (result), time to correct the activities and associated costs. The second experiment evaluated the gamification influence into peer assessment model, analyzing metrics as access number (logins), number of performed activities and number of performed corrections. In this article, we present in table form for each metric: the raw data of each treatment; the summarized data; the application results of the normality test Shapiro-Wilk; the application results of the statistical tests T -Test and/or Wilcoxon. The presented data in this article are related to the article entitled "A gamified peer assessment model for on-line learning environments in a competitive context" (Tenório et al., 2016) [1].

  6. Learning to assess in the academic workplace: Case study in the ...

    African Journals Online (AJOL)

    A study into how academics learn to assess student performance affirms the significance of context in understanding learning in the academic workplace. The study involved three case studies in academic departments with significant differences in the teaching, research and professional dimensions of academic life.

  7. The Feasibility of Real-Time Intraoperative Performance Assessment With SIMPL (System for Improving and Measuring Procedural Learning): Early Experience From a Multi-institutional Trial.

    Science.gov (United States)

    Bohnen, Jordan D; George, Brian C; Williams, Reed G; Schuller, Mary C; DaRosa, Debra A; Torbeck, Laura; Mullen, John T; Meyerson, Shari L; Auyang, Edward D; Chipman, Jeffrey G; Choi, Jennifer N; Choti, Michael A; Endean, Eric D; Foley, Eugene F; Mandell, Samuel P; Meier, Andreas H; Smink, Douglas S; Terhune, Kyla P; Wise, Paul E; Soper, Nathaniel J; Zwischenberger, Joseph B; Lillemoe, Keith D; Dunnington, Gary L; Fryer, Jonathan P

    Intraoperative performance assessment of residents is of growing interest to trainees, faculty, and accreditors. Current approaches to collect such assessments are limited by low participation rates and long delays between procedure and evaluation. We deployed an innovative, smartphone-based tool, SIMPL (System for Improving and Measuring Procedural Learning), to make real-time intraoperative performance assessment feasible for every case in which surgical trainees participate, and hypothesized that SIMPL could be feasibly integrated into surgical training programs. Between September 1, 2015 and February 29, 2016, 15 U.S. general surgery residency programs were enrolled in an institutional review board-approved trial. SIMPL was made available after 70% of faculty and residents completed a 1-hour training session. Descriptive and univariate statistics analyzed multiple dimensions of feasibility, including training rates, volume of assessments, response rates/times, and dictation rates. The 20 most active residents and attendings were evaluated in greater detail. A total of 90% of eligible users (1267/1412) completed training. Further, 13/15 programs began using SIMPL. Totally, 6024 assessments were completed by 254 categorical general surgery residents (n = 3555 assessments) and 259 attendings (n = 2469 assessments), and 3762 unique operations were assessed. There was significant heterogeneity in participation within and between programs. Mean percentage (range) of users who completed ≥1, 5, and 20 assessments were 62% (21%-96%), 34% (5%-75%), and 10% (0%-32%) across all programs, and 96%, 75%, and 32% in the most active program. Overall, response rate was 70%, dictation rate was 24%, and mean response time was 12 hours. Assessments increased from 357 (September 2015) to 1146 (February 2016). The 20 most active residents each received mean 46 assessments by 10 attendings for 20 different procedures. SIMPL can be feasibly integrated into surgical training programs

  8. An Appraisal of Financial Authority Transfers' Prior-Knowledge in Adult Learning Assessment

    Directory of Open Access Journals (Sweden)

    A. Ettien

    2017-12-01

    Full Text Available This research aimed at reviewing financial authority trainers prior knowledge in adult learners' learning assessment. For this aim, we tried to verify the fol-lowing research hypothesis: Ivorian financial authority trainers are able to assess adult learners correctly. Knowles andragogy principles are the comparison basis. We were positively impressed by trainers awareness of some of the principles of andragogy relative to their avoidance of summative assessment in favor of task-based assessment and problem-solving activities. However, the same trainers tendency to ignore the self-directedness nature of adult learners as well as their ability to engage in self-assessment made us believe that a sound training in adult learning assessment would help each of them become a better adult trainer.

  9. Learning of spatio-temporal codes in a coupled oscillator system.

    Science.gov (United States)

    Orosz, Gábor; Ashwin, Peter; Townley, Stuart

    2009-07-01

    In this paper, we consider a learning strategy that allows one to transmit information between two coupled phase oscillator systems (called teaching and learning systems) via frequency adaptation. The dynamics of these systems can be modeled with reference to a number of partially synchronized cluster states and transitions between them. Forcing the teaching system by steady but spatially nonhomogeneous inputs produces cyclic sequences of transitions between the cluster states, that is, information about inputs is encoded via a "winnerless competition" process into spatio-temporal codes. The large variety of codes can be learned by the learning system that adapts its frequencies to those of the teaching system. We visualize the dynamics using "weighted order parameters (WOPs)" that are analogous to "local field potentials" in neural systems. Since spatio-temporal coding is a mechanism that appears in olfactory systems, the developed learning rules may help to extract information from these neural ensembles.

  10. Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System.

    Science.gov (United States)

    Jiang, Yizhang; Wu, Dongrui; Deng, Zhaohong; Qian, Pengjiang; Wang, Jun; Wang, Guanjin; Chung, Fu-Lai; Choi, Kup-Sze; Wang, Shitong

    2017-12-01

    Recognition of epileptic seizures from offline EEG signals is very important in clinical diagnosis of epilepsy. Compared with manual labeling of EEG signals by doctors, machine learning approaches can be faster and more consistent. However, the classification accuracy is usually not satisfactory for two main reasons: the distributions of the data used for training and testing may be different, and the amount of training data may not be enough. In addition, most machine learning approaches generate black-box models that are difficult to interpret. In this paper, we integrate transductive transfer learning, semi-supervised learning and TSK fuzzy system to tackle these three problems. More specifically, we use transfer learning to reduce the discrepancy in data distribution between the training and testing data, employ semi-supervised learning to use the unlabeled testing data to remedy the shortage of training data, and adopt TSK fuzzy system to increase model interpretability. Two learning algorithms are proposed to train the system. Our experimental results show that the proposed approaches can achieve better performance than many state-of-the-art seizure classification algorithms.

  11. The use of a mobile assistant learning system for health education based on project-based learning.

    Science.gov (United States)

    Wu, Ting-Ting

    2014-10-01

    With the development of mobile devices and wireless technology, mobile technology has gradually infiltrated nursing practice courses to facilitate instruction. Mobile devices save manpower and reduce errors while enhancing nursing students' professional knowledge and skills. To achieve teaching objectives and address the drawbacks of traditional education, this study presents a mobile assistant learning system to help nursing students prepare health education materials. The proposed system is based on a project-based learning strategy to assist nursing students with internalizing professional knowledge and developing critical thinking skills. Experimental results show that the proposed mobile system and project-based learning strategy can promote learning effectiveness and efficiency. Most nursing students and nursing educators showed positive attitudes toward this mobile learning system and looked forward to using it again in related courses in the future.

  12. Strategies to Enhance Online Learning Teams. Team Assessment and Diagnostics Instrument and Agent-based Modeling

    Science.gov (United States)

    2010-08-12

    Strategies to Enhance Online Learning Teams Team Assessment and Diagnostics Instrument and Agent-based Modeling Tristan E. Johnson, Ph.D. Learning ...REPORT DATE AUG 2010 2. REPORT TYPE 3. DATES COVERED 00-00-2010 to 00-00-2010 4. TITLE AND SUBTITLE Strategies to Enhance Online Learning ...TeamsTeam Strategies to Enhance Online Learning Teams: Team Assessment and Diagnostics Instrument and Agent-based Modeling 5a. CONTRACT NUMBER 5b. GRANT

  13. The Impact of Cognitive Assessment on the Identity of People with Learning Disabilities

    Science.gov (United States)

    Davidson, Terence; Smith, Hilary; Burns, Jan

    2014-01-01

    Researchers and clinicians have hypothesised that cognitive assessments have the power to influence the self-identity of people with learning disabilities. This research aimed to explore the experience of a sample of people who had been given a cognitive assessment by a psychologist based in a team for people with learning disabilities. Five…

  14. The Use of Case Based Multiple Choice Questions for Assessing Large Group Teaching: Implications on Student's Learning

    Directory of Open Access Journals (Sweden)

    Christina Donnelly

    2014-06-01

    Full Text Available The practice of assessments in third level education is extremely important and a rarely disputed part of the university curriculum as a method to demonstrate a student’s learning. However, assessments to test a student’s knowledge and level of understanding are challenging to apply given recent trends which are showing that student numbers are increasing, student demographics are wide ranging and resources are being stretched. As a result of these emerging challenges, lecturers are required to develop a comprehensive assessment to effectively demonstrate student learning, whilst efficiently managing large class sizes. One form of assessment which has been used for efficient assessment is multiple choice questions (MCQs; however this method has been criticised for encouraging surface learning, in comparison to other methods such as essays or case studies. This research explores the impact of blended assessment methods on student learning. This study adopts a rigorous three-staged qualitative methodology to capture third level lecturers’ and students’ perception to (1 the level of learning when using MCQs; (2 the level of learning when blended assessment in the form of case based MCQs are used. The findings illuminate the positive impact of cased based MCQs as students and lecturers suggest that it leads to a higher level of learning and deeper information processing over that of MCQs without case studies. 2 The implications of this research is that this type of assessment contributes to the current thinking within literature on the use of assessments methods, as well as the blending of assessment methods to reach a higher level of learning. It further serves to reinforce the belief that assessments are the greatest influence on students’ learning, and the requirement for both universities and lecturers to reflect on the best form of assessment to test students’ level of understanding, whilst also balancing the real challenges of

  15. New assessment forms of educational outcomes of students

    Directory of Open Access Journals (Sweden)

    Zemlyanskaya E.N.

    2015-11-01

    Full Text Available In the context of practice-oriented training assessment system applies not only to quality control in vocational education, but becomes one of the control elements of the teacher education system. The article discusses so called assessment for learning. The author believes that the purpose of assessment for learning is to provide research and reflexive independence of students which provides the opportunity to adjust the educational outcomes, forms of students training and evaluation tools. The basic features of assessment for learning are considered from this point of view. The article discusses use of internet-services in assessment for learning , risks and provides procedure of assessment for learning and describes in detail such specific procedures as criteria-based assessment, construction of tests and mindmaps, cumulative assessment.

  16. Collective Machine Learning: Team Learning and Classification in Multi-Agent Systems

    Science.gov (United States)

    Gifford, Christopher M.

    2009-01-01

    This dissertation focuses on the collaboration of multiple heterogeneous, intelligent agents (hardware or software) which collaborate to learn a task and are capable of sharing knowledge. The concept of collaborative learning in multi-agent and multi-robot systems is largely under studied, and represents an area where further research is needed to…

  17. Using video games to combine learning and assessment in mathematics education

    Directory of Open Access Journals (Sweden)

    Kristian Juha Mikael Kiili

    2015-12-01

    Full Text Available One problem with most education systems is that learning and (summative assessment are generally treated as quite separate things in schools. We argue that video games can provide an opportunity to combine these processes in an engaging and effective way. The present study focuses on investigating the effectiveness and the assessment power of two different mathematics video games, Semideus and Wuzzit Trouble. In the current study, we validated the Semideus game as a rational number test instrument. We used it as a pre- and a post-test for a three-hour intervention in which we studied the effectiveness of Wuzzit Trouble, a game built on whole number arithmetic and designed to enhance mathematical thinking and problem solving skills. The results showed that (1 games can be used to assess mathematical knowledge validly, and (2 even short game-based interventions can be very effective. Based on the results, we argue that game-based assessment can create a more complete picture of mathematical knowledge than simply measuring students' accuracy, providing indicators of student misconceptions and conceptual change processes

  18. E-Learning System for Learning Virtual Circuit Making with a Microcontroller and Programming to Control a Robot

    Science.gov (United States)

    Takemura, Atsushi

    2015-01-01

    This paper proposes a novel e-Learning system for learning electronic circuit making and programming a microcontroller to control a robot. The proposed e-Learning system comprises a virtual-circuit-making function for the construction of circuits with a versatile, Arduino microcontroller and an educational system that can simulate behaviors of…

  19. Systems control with generalized probabilistic fuzzy-reinforcement learning

    NARCIS (Netherlands)

    Hinojosa, J.; Nefti, S.; Kaymak, U.

    2011-01-01

    Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input-output data are not available. In most combinations of fuzzy systems and RL, the environment is considered to be

  20. A Situated Cultural Festival Learning System Based on Motion Sensing

    Science.gov (United States)

    Chang, Yi-Hsing; Lin, Yu-Kai; Fang, Rong-Jyue; Lu, You-Te

    2017-01-01

    A situated Chinese cultural festival learning system based on motion sensing is developed in this study. The primary design principle is to create a highly interactive learning environment, allowing learners to interact with Kinect through natural gestures in the designed learning situation to achieve efficient learning. The system has the…