Empirical investigation to explore factors that achieve high quality of mobile learning system based on students’ perspectives

Directory of Open Access Journals (Sweden)

Mohammed Amin Almaiah

2016-09-01

Full Text Available This study presents three frameworks for mobile learning system based on quality factors derived from the updated DeLone and McLean information system success model. This study used the questionnaire as a quantitative method to explore quality factors for mobile learning system based on perspectives of 392 students. This study opens future work for using the identified quality factors as guidelines for researchers and designers to design and develop mobile learning applications.

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...

Academic goals and learning quality in higher education students.

Science.gov (United States)

Valle, Antonio; Núñez, José C; Cabanach, Ramón G; González-Pienda, Julio A; Rodríguez, Susana; Rosário, Pedro; Muñoz-Cadavid, María A; Cerezo, Rebeca

2009-05-01

In this paper, the relations between academic goals and various indicators that define the quality of the learning process are analyzed. The purpose was to determine to what extent high, moderate, or low levels of academic goals were positively or negatively related to effort regulation, the value assigned to academic tasks, meta-cognitive self-regulation, self-efficacy, beliefs about learning control, and management of time and study environment. The investigation was carried out with a sample of 632 university students (70% female and 30% male) and mean age of 21.22 (SD=2.2).The results show that learning goals, or task orientation, are positively related to all the indictors of learning quality considered herein. Although for other kinds of goals-work-avoidance goals, performance-approach goals, and performance-avoidance goals-significant relations were not found with all the indicators, there was a similar tendency of significant results in all cases; the higher the levels of these goals, the lower the levels of the indicators of learning quality.

The Development of a Service-Learning Program for First-Year Students Based on the Hallmarks of High Quality Service-Learning and Rigorous Program Evaluation

Science.gov (United States)

Smith, Bradley H.; Gahagan, James; McQuillin, Samuel; Haywood, Benjamin; Cole, Caroline Pender; Bolton, Clay; Wampler, Mary Katherine

2011-01-01

We describe six hallmarks of high quality service-learning and explain how these considerations guided the development of a Transitional Coaching Program (TCP) during the first three years of implementation. We have demonstrated that the TCP is acceptable, feasible, and sustainable. Improvements have been seen in the degree of impact on learning…

Hybrid Model for e-Learning Quality Evaluation

Directory of Open Access Journals (Sweden)

Suzana M. Savic

2012-02-01

Full Text Available E-learning is becoming increasingly important for the competitive advantage of economic organizations and higher education institutions. Therefore, it is becoming a significant aspect of quality which has to be integrated into the management system of every organization or institution. The paper examines e-learning quality characteristics, standards, criteria and indicators and presents a multi-criteria hybrid model for e-learning quality evaluation based on the method of Analytic Hierarchy Process, trend analysis, and data comparison.

Quantity-quality measuring method possibilities in improving operator's learning quality

International Nuclear Information System (INIS)

Zvonarev, V.P.

1984-01-01

Possibilities of obtainnjng qualitative-quantitative estimations of different aspects of learning process and their application in determination of learning purposes, substantiation of the training program choice of types and forms of studies directed at quality improvement of operator learning are considered

The Role of Interactional Quality in Learning from Touch Screens during Infancy: Context Matters

Directory of Open Access Journals (Sweden)

Elizabeth Zack

2016-08-01

Full Text Available Interactional quality has been shown to enhance learning during book reading and play, but has not been examined during touch screen use. Learning to apply knowledge from a touch screen is complex for infants because it involves transfer of learning between a 2-dimensional (2D screen and 3-dimensional (3D object in the physical world. This study uses a touch screen procedure to examine interactional quality measured via maternal structuring, diversity of maternal language, and dyadic emotional responsiveness and infant outcomes during a transfer of learning task. Fifty 15-month-old infants and their mothers participated in this semi-naturalistic teaching task. Mothers were given a 3D object, and a static image of the object presented on a touch screen. Mothers had 5 minutes to teach their infant that a button on the real toy works in the same way as a virtual button on the touch screen (or vice versa. Overall, 64% of infants learned how to make the button work, transferring learning from the touch screen to the 3D object or vice versa. Infants were just as successful in the 3D to 2D transfer direction as they were in the 2D to 3D transfer direction. A cluster analysis based on emotional responsiveness, the proportion of diverse maternal verbal input, and amount of maternal structuring resulted in two levels of interactional quality: high quality and moderate quality. A logistic regression revealed the level of interactional quality predicted infant transfer. Infants were 19 times more likely to succeed and transfer learning between the touch screen and real object if they were in a high interactional quality dyad, even after controlling for infant activity levels. The present findings suggest that interactional quality between mother and infant plays an important role in making touch screens effective teaching tools for infants’ learning.

The Role of Interactional Quality in Learning from Touch Screens during Infancy: Context Matters.

Science.gov (United States)

Zack, Elizabeth; Barr, Rachel

2016-01-01

Interactional quality has been shown to enhance learning during book reading and play, but has not been examined during touch screen use. Learning to apply knowledge from a touch screen is complex for infants because it involves transfer of learning between a two-dimensional (2D) screen and three-dimensional (3D) object in the physical world. This study uses a touch screen procedure to examine interactional quality measured via maternal structuring, diversity of maternal language, and dyadic emotional responsiveness and infant outcomes during a transfer of learning task. Fifty 15-month-old infants and their mothers participated in this semi-naturalistic teaching task. Mothers were given a 3D object, and a static image of the object presented on a touch screen. Mothers had 5 min to teach their infant that a button on the real toy works in the same way as a virtual button on the touch screen (or vice versa). Overall, 64% of infants learned how to make the button work, transferring learning from the touch screen to the 3D object or vice versa. Infants were just as successful in the 3D to 2D transfer direction as they were in the 2D to 3D transfer direction. A cluster analysis based on emotional responsiveness, the proportion of diverse maternal verbal input, and amount of maternal structuring resulted in two levels of interactional quality: high quality and moderate quality. A logistic regression revealed the level of interactional quality predicted infant transfer. Infants were 19 times more likely to succeed and transfer learning between the touch screen and real object if they were in a high interactional quality dyad, even after controlling for infant activity levels. The present findings suggest that interactional quality between mother and infant plays an important role in making touch screens effective teaching tools for infants' learning.

The antecedents of e-learning outcome: an examination of system quality, technology readiness, and learning behavior.

Science.gov (United States)

Ho, Li-An

2009-01-01

The rapid advancement of Internet and computer technology has not only influenced the way we live, but also the way we learn. Due to the implementation of e-learning in urban junior high schools in Taiwan, it has become essential to find out how external and internal factors affect junior high school students' online learning behavior, which consequently affects their learning outcome. The present study aims to propose a conceptual structural equation model to investigate the relationships among e-Learning system quality (eLSQ), technology readiness (TR), learning behavior (LB), and learning outcome (LO), and to demonstrate the direct and indirect effect of eLSQ and TR on LO from the perspectives of LB. Data collected from 10 urban junior high schools in Taiwan (N = 376) were analyzed using structural equation modeling. Results reveal that both eLSQ and TR have a direct and significant impact on LB. However, eLSQ and TR influence LO indirectly through LB. In addition, LB has a direct and positive significant influence on LO. Managerial implications are proposed and research limitations are discussed.

Blind CT image quality assessment via deep learning strategy: initial study

Science.gov (United States)

Li, Sui; He, Ji; Wang, Yongbo; Liao, Yuting; Zeng, Dong; Bian, Zhaoying; Ma, Jianhua

2018-03-01

Computed Tomography (CT) is one of the most important medical imaging modality. CT images can be used to assist in the detection and diagnosis of lesions and to facilitate follow-up treatment. However, CT images are vulnerable to noise. Actually, there are two major source intrinsically causing the CT data noise, i.e., the X-ray photo statistics and the electronic noise background. Therefore, it is necessary to doing image quality assessment (IQA) in CT imaging before diagnosis and treatment. Most of existing CT images IQA methods are based on human observer study. However, these methods are impractical in clinical for their complex and time-consuming. In this paper, we presented a blind CT image quality assessment via deep learning strategy. A database of 1500 CT images is constructed, containing 300 high-quality images and 1200 corresponding noisy images. Specifically, the high-quality images were used to simulate the corresponding noisy images at four different doses. Then, the images are scored by the experienced radiologists by the following attributes: image noise, artifacts, edge and structure, overall image quality, and tumor size and boundary estimation with five-point scale. We trained a network for learning the non-liner map from CT images to subjective evaluation scores. Then, we load the pre-trained model to yield predicted score from the test image. To demonstrate the performance of the deep learning network in IQA, correlation coefficients: Pearson Linear Correlation Coefficient (PLCC) and Spearman Rank Order Correlation Coefficient (SROCC) are utilized. And the experimental result demonstrate that the presented deep learning based IQA strategy can be used in the CT image quality assessment.

Quality Assurance in E-Learning: PDPP Evaluation Model and its Application

Directory of Open Access Journals (Sweden)

Weiyuan Zhang

2012-06-01

Full Text Available E-learning has become an increasingly important teaching and learning mode in educational institutions and corporate training. The evaluation of e-learning, however, is essential for the quality assurance of e-learning courses. This paper constructs a four-phase evaluation model for e-learning courses, which includes planning, development, process, and product evaluation, called the PDPP evaluation model. Planning evaluation includes market demand, feasibility, target student group, course objectives, and finance. Development evaluation includes instructional design, course material design, course Web site design, flexibility, student-student interaction, teacher/tutor support, technical support, and assessment. Process evaluation includes technical support, Web site utilization, learning interaction, learning evaluation, learning support, and flexibility. Product evaluation includes student satisfaction, teaching effectiveness, learning effectiveness, and sustainability. Using the PDPP model as a research framework, a purely e-learning course on Research Methods in Distance Education, developed by the School of Professional and Continuing Education at the University of Hong Kong (HKU SPACE and jointly offered with the School of Distance Learning for Medical Education of Peking University (SDLME, PKU, was used as a case study. Sixty students from mainland China, Hong Kong, Macau, and Malaysia were recruited for this course. According to summative evaluation through a student e-learning experience survey, the majority of students were very satisfied/satisfied on all e-learning dimensions of this course. The majority of students thought that the learning effectiveness of this course was equivalent, even better, than face-to-face learning because of cross-border collaborative learning, student-centred learning, sufficient learning support, and learning flexibility. This study shows that a high quality of teaching and learning might be assured by

Implementing Quality Service-Learning Programs in Community Colleges

Science.gov (United States)

Vaknin, Lauren Weiner; Bresciani, Marilee J.

2013-01-01

This cross-case comparative study at Western Community College and the University of the Coast explored through a constructive lens the characteristics that lead to sustainable, high quality service-learning programs and how they are implemented at institutions of higher education. The researchers determined that both Western Community College and…

Quality Assurance in Distance and Open Learning

Science.gov (United States)

Mahafzah, Mohammed Hasan

2012-01-01

E-learning has become an increasingly important teaching and learning mode in educational institutions and corporate training. The evaluation of E-learning, however, is essential for the quality assurance of E-learning courses. This paper constructs a three-phase evaluation model for E-learning courses, which includes development, process, and…

Quality in e-learning:A framework for promoting and assuring quality in virtual institutions

OpenAIRE

Masoumi, Davoud; Lindstrom, Berner

2012-01-01

With the growing demand for e-learning along with striving for excellence associated with globalization, there are worldwide calls for enhancing and assuring quality in e-learning, specifically in the context of the developing countries. Such calls for quality enhancement, accountability, added value, value for money, self-evaluation, and role players’ satisfaction in higher education settings cannot go unheeded. Addressing the concerns regarding enhancing and assuring quality in e-learning, ...

[eLearning-radiology.com--sustainability for quality assurance].

Science.gov (United States)

Ketelsen, D; Talanow, R; Uder, M; Grunewald, M

2009-04-01

The aim of the study was to analyze the availability of published radiological e-learning tools and to establish a solution for quality assurance. Substantial pubmed research was performed to identify radiological e-learning tools. 181 e-learning programs were selected. As examples two databases expanding their programs with external links, Compare (n = 435 external links) and TNT-Radiology (n = 1078 external links), were evaluated. A concept for quality assurance was developed by an international taskforce. At the time of assessment, 56.4 % (102 / 181) of the investigated e-learning tools were accessible at their original URL. A subgroup analysis of programs published 5 to 8 years ago showed significantly inferior availability to programs published 3 to 5 years ago (p eLearning-radiology.com was developed by the taskforce and published online. This tool allows authors to present their programs and users to evaluate the e-learning tools depending on several criteria in order to remove inoperable links and to obtain information about the complexity and quality of the e-learning tools. More than 50 % of investigated radiological e-learning tools on the Internet were not accessible after a period of 5 to 8 years. As a consequence, an independent, international tool for quality assurance was designed and published online under www.eLearning-radiology.com .

Quality Perception within Corporate E-Learning Providers in Catalonia

Science.gov (United States)

Sangra, Albert; Fernandez-Michels, Pedro

2011-01-01

Purpose: The paper seeks to describe the Catalan corporate e-learning providers from the perspective of quality perception, quality assessment and quality control. Design/methodology/approach: A literature review reveals key aspects of the definition of quality in e-learning. The results of the review constitute the basis for exploratory research…

E-Learning Quality Standards for Consumer Protection and Consumer Confidence: A Canadian Case Study in E-Learning Quality Assurance

Science.gov (United States)

Barker, Kathryn Chang

2007-01-01

Emerging concerns about quality of e-learning products and services animated a project in Canada to create quality standards that derived primarily from the needs of consumer, that could be used to guide the development and choice of e-learning at all levels of education and training, and that could be implemented in a simple manner. A set of…

Organizational learning in developing the integrated quality management

Directory of Open Access Journals (Sweden)

Juhani Anttila

2018-04-01

Full Text Available High quality is organizations’ competitive advantage. It is beneficial to base this on professional approach, and basic concepts and definitions with scientific foundation. The necessary main concepts consist of quality, quality management, quality improvement and quality assurance. Organizations' top management is responsible of the quality management decisions and implementations. The present practical situation is fragmented and the implementations are most often based on the instrumental means of the different methodological schools, which is confusing and detrimental to the understanding and usefulness of the concept of quality management. It is not beneficial to build a special system for quality management by only following the requirements of the general standard. This cannot ensure competitive business advantage. In this article, we present an alternative approach that is a natural practical way to realize quality management as the teleological solution, Quality Integration, in which the general and specific quality concepts, principles and methodology are embedded within the normal business management activities. Our Quality Integration is based on the thinking of organizational learning. Its framework covers both running the current business and improving the overall business performance. This model has been used as the thinking framework in practical organizational cases since 1990’s. As the business circumstances change constantly, the organization must be constantly ready to renew through both small and radical changes. This change also receives resistance, and the development takes place according to a multi-phase process towards the new integration and requires a proper recognition and decisions. Principles of the organizational learning can help organizations in a consistent way. Evaluation of the overall organizational performance is an important quality management practice and should take into account performance enablers

Aggregative Learning Method and Its Application for Communication Quality Evaluation

Science.gov (United States)

Akhmetov, Dauren F.; Kotaki, Minoru

2007-12-01

In this paper, so-called Aggregative Learning Method (ALM) is proposed to improve and simplify the learning and classification abilities of different data processing systems. It provides a universal basis for design and analysis of mathematical models of wide class. A procedure was elaborated for time series model reconstruction and analysis for linear and nonlinear cases. Data approximation accuracy (during learning phase) and data classification quality (during recall phase) are estimated from introduced statistic parameters. The validity and efficiency of the proposed approach have been demonstrated through its application for monitoring of wireless communication quality, namely, for Fixed Wireless Access (FWA) system. Low memory and computation resources were shown to be needed for the procedure realization, especially for data classification (recall) stage. Characterized with high computational efficiency and simple decision making procedure, the derived approaches can be useful for simple and reliable real-time surveillance and control system design.

Gamification and the Quality of Informal Post-Experiential Learning

Directory of Open Access Journals (Sweden)

Viktoria Lambert

2017-09-01

Full Text Available As corporate learning moves out of the classroom into the hands of learners, the responsibilities of those who provide guidance in this process are changing. The overall prevalence of learning tools creates a need for competent learning leaders who make decisions about the development of the workforce. With special focus on the least used gamified learning tool, the aim of the study was to investigate the enablement of gamified learning tools determined by certain attributes of this research. A questionnaire survey had been conducted on a selected sample of 100 high-level learning leaders from 28 countries to examine if there are significant correlations between the usage of gamified learning tools and corporate learning leaders’ minds, their competences and the organizational culture profiles of companies. Results had been analysed with the SPSS statistical software package and indicated that relationships between these variables cannot be categorically proven, so no predictions can be made about the future of gamified learning based on these attributes. It is the highest time to conduct an extensive research to examine relationships between the quality of informal learning and learning tools in the ICT domain.

Real-World Solutions for Developing High-Quality PHP Frameworks and Applications

CERN Document Server

Bergmann, Sebastian

2011-01-01

Learn to develop high-quality applications and frameworks in PHP Packed with in-depth information and step-by-step guidance, this book escorts you through the process of creating, maintaining and extending sustainable software of high quality with PHP. World-renowned PHP experts present real-world case studies for developing high-quality applications and frameworks in PHP that can easily be adapted to changing business requirements. . They offer different approaches to solving  typical development and quality assurance problems that every developer needs to know and master.Details the process

Serving two masters: quality teaching and learning versus economic rationalism.

Science.gov (United States)

Kenny, A J; Kendall, S

2001-11-01

Nurse educators face the challenge of competing pressures. Programmes must be developed that more adequately prepare students to meet the demands of a changing and complex health care system. These programmes must reflect excellence in teaching and learning and this needs to be achieved within the constraints of economic rationalism. The design of a model based on principles of self directed learning assisted one university to deliver a high quality clinical skills programme. Copyright 2001 Harcourt Publishers Ltd.

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.

Evaluation of quality of pedagogic model for blended learning on course “Life safety”

Directory of Open Access Journals (Sweden)

M. V. Legan

2016-01-01

effective questionnaire method was used for self-analysis of pedagogical activity. Some indicators for monitoring of opinions on the quality of the learning process for the blended model, designed in the form of a questionnaire, were identified.The pedagogical model of the blended learning course «Health and Safety» shows the structure of the pedagogical process: target, informative, organizational and activity, analytical and productive components.A choice of the used technologies, forms, active and interactive methods in the learning process, learning tools is made; a new generation of multi-media resources is developed; the quality of education according to the process approach is made; the results of the mastering of the course «Health and Safety» in the two groups of students are demonstrated.It is shown that the results of mastering of the course «Health and Safety» at different structural models of the blended learning are virtually identical. The successful mastering of the topic «Electrical Safety» requires the use of laboratory settings and simulators, as well as further study during the session in the classrooms. It is shown that a process approach, revealing the area for improvement, is applicable for making the self-assessment of the blended learning. We have received the high indicators of the quality training satisfaction for the blended model in both groups.The high level of satisfaction with the quality of e-learning environment and placed in its electronic resources promotes organizing of education in the remote access.

Quality Practices: An Open Distance Learning Perspective

Directory of Open Access Journals (Sweden)

Kemlall RAMDASS

2018-01-01

Full Text Available Global transformation in higher education over the past two decades has led to the implementation of national policies in order to measure the performance of institutions in South Africa. The Higher Education Quality Council (HEQC adopted the quality assurance (QA model for the purposes of accountability and governance in South African Higher Education. The first Council of Higher Education (CHE audit, encouraged a compliance mentality through a ‘tick box’ mentality, thereby encouraging compliance of minimum standards. Thus, quality assurance audits became a ‘feared’ phenomenon in all higher education institutions in South Africa. The complete lack of stewardship in addressing the culture of quality and its’ implications for continuous improvement has led to inefficiencies in the entire higher education landscape. In this paper the ‘fuzzy’ and perhaps ‘slippery’ nature of quality is addressed through a critical analysis of the concepts of development, enhancement and assurance in relation to the quality of teaching and learning in higher education through a case study methodology using qualitative analysis in an open distance learning institution (ODL. The key argument is that although quality is important for improvement, practices at the institution are not changing in the way they should because of a quality culture that is determined by the Department of Higher Education and Training. Hence the research question is to determine the status of quality with a view of recommending total quality management as a strategy that would enhance the practice of quality in the organization. Therefore, this paper explores the current quality practices with the intent to improve the delivery of teaching and learning in an ODL environment.

Reflection on Cuboid Net with Mathematical Learning Quality

Science.gov (United States)

Sari, Atikah; Suryadi, Didi; Syaodih, Ernawulan

2017-09-01

This research aims to formulate an alternative to the reflection in mathematics learning activities related to the activities of the professionalism of teachers motivated by a desire to improve the quality of learning. This study is a qualitative study using the Didactical Design research. This study was conducted in one of the elementary schools. The data collection techniques are triangulation with the research subject is teacher 5th grade. The results of this study indicate that through deep reflection, teachers can design learning design in accordance with the conditions of the class. Also revealed that teachers have difficulty in choosing methods of learning and contextual learning media. Based on the implementation of activities of reflection and make the learning design based on the results of reflection can be concluded that the quality of learning in the class will develop.

A theoretical framework for measuring the quality of student learning ...

African Journals Online (AJOL)

The most important principles of outcomes-based education is that planning, teaching and assessment should focus on helping learners to achieve significant outcomes to high standards. This cannot be achieved without having suitable ways to describe desired learning outcomes and the quality of students' ...

Quality Improvement and Learning in Productive Systems

OpenAIRE

Charles H. Fine

1986-01-01

Recent interest in product quality suggests that effort devoted to improving the quality of manufactured products may reduce unit costs. This conjecture---that improving quality can lower costs---challenges the traditional assumption that unit costs increase with increased quality assurance activities and has significant implications for quality management. By introducing the idea of a quality-based learning curve, this paper links the previously disjoint literatures of quality control and le...

eLearning-radiology.com. Sustainability for quality assurance

International Nuclear Information System (INIS)

Ketelsen, D.; Talanow, R.; Uder, M.; Grunewald, M.

2009-01-01

Purpose: The aim of the study was to analyze the availability of published radiological e-learning tools and to establish a solution for quality assurance. Materials and Methods: Substantial pubmed research was performed to identify radiological e-learning tools. 181 e-learning programs were selected. As examples two databases expanding their programs with external links, Compare (n = 435 external links) and TNT-Radiology (n = 1078 external links), were evaluated. A concept for quality assurance was developed by an international taskforce. Results: At the time of assessment, 56.4 % (102/181) of the investigated e-learning tools were accessible at their original URL. A subgroup analysis of programs published 5 to 8 years ago showed significantly inferior availability to programs published 3 to 5 years ago (p < 0.01). The analysis of external links showed 49.2 % and 61.0 % accessible links for the programs Compare (published 2003) and TNT-Radiology (published 2006), respectively. As a consequence, the domain www.eLearning-radiology.com was developed by the taskforce and published online. This tool allows authors to present their programs and users to evaluate the e-learning tools depending on several criteria in order to remove inoperable links and to obtain information about the complexity and quality of the e-learning tools. (orig.)

Factors Determining e-Learning Service Quality

Science.gov (United States)

Uppal, Muhammad Amaad; Ali, Samnan; Gulliver, Stephen R.

2018-01-01

e-Learning courses are fast becoming common-place, yet the success of these online courses varies considerably. Since limited research addresses the issue of e-learning quality (ELQ) of service in higher education environments, there is an increasing need to effectively assess ELQ. In this paper, we argue that to obtain a satisfactory e-learning…

Quality in E-Learning: A Framework for Promoting and Assuring Quality in Virtual Institutions

Science.gov (United States)

Masoumi, D.; Lindstrom, B.

2012-01-01

With the growing demand for e-learning along with striving for excellence associated with globalization, there are worldwide calls for enhancing and assuring quality in e-learning, specifically in the context of the developing countries. Such calls for quality enhancement, accountability, added value, value for money, self-evaluation, and role…

Air quality monitoring using mobile microscopy and machine learning

KAUST Repository

Wu, Yi-Chen; Shiledar, Ashutosh; Li, Yi-Cheng; Wong, Jeffrey; Feng, Steve; Chen, Xuan; Chen, Christine; Jin, Kevin; Janamian, Saba; Yang, Zhe; Ballard, Zachary Scott; Gö rö cs, Zoltá n; Feizi, Alborz; Ozcan, Aydogan

2017-01-01

Rapid, accurate and high-throughput sizing and quantification of particulate matter (PM) in air is crucial for monitoring and improving air quality. In fact, particles in air with a diameter of ≤2.5 μm have been classified as carcinogenic by the World Health Organization. Here we present a field-portable cost-effective platform for high-throughput quantification of particulate matter using computational lens-free microscopy and machine-learning. This platform, termed c-Air, is also integrated with a smartphone application for device control and display of results. This mobile device rapidly screens 6.5 L of air in 30 s and generates microscopic images of the aerosols in air. It provides statistics of the particle size and density distribution with a sizing accuracy of ~93%. We tested this mobile platform by measuring the air quality at different indoor and outdoor environments and measurement times, and compared our results to those of an Environmental Protection Agency–approved device based on beta-attenuation monitoring, which showed strong correlation to c-Air measurements. Furthermore, we used c-Air to map the air quality around Los Angeles International Airport (LAX) over 24 h to confirm that the impact of LAX on increased PM concentration was present even at >7 km away from the airport, especially along the direction of landing flights. With its machine-learning-based computational microscopy interface, c-Air can be adaptively tailored to detect specific particles in air, for example, various types of pollen and mold and provide a cost-effective mobile solution for highly accurate and distributed sensing of air quality.

Air quality monitoring using mobile microscopy and machine learning

KAUST Repository

Wu, Yi-Chen

2017-09-08

Rapid, accurate and high-throughput sizing and quantification of particulate matter (PM) in air is crucial for monitoring and improving air quality. In fact, particles in air with a diameter of ≤2.5 μm have been classified as carcinogenic by the World Health Organization. Here we present a field-portable cost-effective platform for high-throughput quantification of particulate matter using computational lens-free microscopy and machine-learning. This platform, termed c-Air, is also integrated with a smartphone application for device control and display of results. This mobile device rapidly screens 6.5 L of air in 30 s and generates microscopic images of the aerosols in air. It provides statistics of the particle size and density distribution with a sizing accuracy of ~93%. We tested this mobile platform by measuring the air quality at different indoor and outdoor environments and measurement times, and compared our results to those of an Environmental Protection Agency–approved device based on beta-attenuation monitoring, which showed strong correlation to c-Air measurements. Furthermore, we used c-Air to map the air quality around Los Angeles International Airport (LAX) over 24 h to confirm that the impact of LAX on increased PM concentration was present even at >7 km away from the airport, especially along the direction of landing flights. With its machine-learning-based computational microscopy interface, c-Air can be adaptively tailored to detect specific particles in air, for example, various types of pollen and mold and provide a cost-effective mobile solution for highly accurate and distributed sensing of air quality.

Improving health care quality and safety: the role of collective learning.

Science.gov (United States)

Singer, Sara J; Benzer, Justin K; Hamdan, Sami U

2015-01-01

Despite decades of effort to improve quality and safety in health care, this goal feels increasingly elusive. Successful examples of improvement are infrequently replicated. This scoping review synthesizes 76 empirical or conceptual studies (out of 1208 originally screened) addressing learning in quality or safety improvement, that were published in selected health care and management journals between January 2000 and December 2014 to deepen understanding of the role that collective learning plays in quality and safety improvement. We categorize learning activities using a theoretical model that shows how leadership and environmental factors support collective learning processes and practices, and in turn team and organizational improvement outcomes. By focusing on quality and safety improvement, our review elaborates the premise of learning theory that leadership, environment, and processes combine to create conditions that promote learning. Specifically, we found that learning for quality and safety improvement includes experimentation (including deliberate experimentation, improvisation, learning from failures, exploration, and exploitation), internal and external knowledge acquisition, performance monitoring and comparison, and training. Supportive learning environments are characterized by team characteristics like psychological safety, appreciation of differences, openness to new ideas social motivation, and team autonomy; team contextual factors including learning resources like time for reflection, access to knowledge, organizational capabilities; incentives; and organizational culture, strategy, and structure; and external environmental factors including institutional pressures, environmental dynamism and competitiveness and learning collaboratives. Lastly learning in the context of quality and safety improvement requires leadership that reinforces learning through actions and behaviors that affect people, such as coaching and trust building, and through

An analytical quality framework for learning cities and regions

Science.gov (United States)

Preisinger-Kleine, Randolph

2013-09-01

There is broad agreement that innovation, knowledge and learning have become the main source of wealth, employment and economic development of cities, regions and nations. Over the past two decades, the number of European cities and regions which label themselves as "learning city" or "learning region" has constantly grown. However, there are also pitfalls and constraints which not only hinder them in unlocking their full potential, but also significantly narrow their effects and their wider impact on society. Most prominently, learning cities and regions manifest serious difficulties in rendering transparent the surplus value they generate, which is vital for attracting investment into lifelong learning. While evaluation and quality management are still perceived as being a bureaucratic necessity rather than a lesson one could learn from or an investment in the future, it is also true that without evaluation and quality assurance local networks do not have the means to examine their strengths and weaknesses. In order to design strategies to maximise the strengths and effectively address the weaknesses it is necessary to understand the factors that contribute to success and those that pose challenges. This article proposes an analytical quality framework which is generic and can be used to promote a culture of quality in learning cities and regions. The proposed framework builds on the findings and results of the R3L+ project, part-funded by the European Commission under the Grundtvig (adult education) strand of the Lifelong Learning programme 2007-2013.

Millions Learning: Scaling up Quality Education in Developing Countries

Science.gov (United States)

Robinson, Jenny Perlman; Winthrop, Rebecca

2016-01-01

"Millions Learning: Scaling up Quality Education in Developing Countries" tells the story of where and how quality education has scaled in low- and middle-income countries. The story emerges from wide-ranging research on scaling and learning, including 14 in-depth case studies from around the globe. Ultimately, "Millions…

A Rotational Blended Learning Model: Enhancement and Quality Assurance

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Ghoul, Said

2013-01-01

Research on blended learning theory and practice is growing nowadays with a focus on the development, evaluation, and quality assurance of case studies. However, the enhancement of blended learning existing models, the specification of their online parts, and the quality assurance related specifically to them have not received enough attention.…

Creating a Total Quality Environment (TQE) for Learning

Science.gov (United States)

Freed, Jann E.

2005-01-01

This article describes a model for creating a total quality environment (TQE) for learning in which everyone is considered a learner. The model consists of 11 interrelated characteristics derived from the literature in the areas of continuous improvement, leadership, learning, learning organizations, and spirituality. The characteristics in the…

A planning quality evaluation tool for prostate adaptive IMRT based on machine learning

International Nuclear Information System (INIS)

Zhu Xiaofeng; Ge Yaorong; Li Taoran; Thongphiew, Danthai; Yin Fangfang; Wu, Q Jackie

2011-01-01

Purpose: To ensure plan quality for adaptive IMRT of the prostate, we developed a quantitative evaluation tool using a machine learning approach. This tool generates dose volume histograms (DVHs) of organs-at-risk (OARs) based on prior plans as a reference, to be compared with the adaptive plan derived from fluence map deformation. Methods: Under the same configuration using seven-field 15 MV photon beams, DVHs of OARs (bladder and rectum) were estimated based on anatomical information of the patient and a model learned from a database of high quality prior plans. In this study, the anatomical information was characterized by the organ volumes and distance-to-target histogram (DTH). The database consists of 198 high quality prostate plans and was validated with 14 cases outside the training pool. Principal component analysis (PCA) was applied to DVHs and DTHs to quantify their salient features. Then, support vector regression (SVR) was implemented to establish the correlation between the features of the DVH and the anatomical information. Results: DVH/DTH curves could be characterized sufficiently just using only two or three truncated principal components, thus, patient anatomical information was quantified with reduced numbers of variables. The evaluation of the model using the test data set demonstrated its accuracy ∼80% in prediction and effectiveness in improving ART planning quality. Conclusions: An adaptive IMRT plan quality evaluation tool based on machine learning has been developed, which estimates OAR sparing and provides reference in evaluating ART.

Improving health care quality and safety: the role of collective learning

Directory of Open Access Journals (Sweden)

Singer SJ

2015-11-01

Full Text Available Sara J Singer,1–4 Justin K Benzer,4–6 Sami U Hamdan4,6 1Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA; 2Department of Medicine, Harvard Medical School, Boston, MA, USA; 3Mongan Institute for Health Policy, Massachusetts General Hospital, Boston, MA, USA; 4Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, MA, USA; 5VISN 17 Center of Excellence for Research on Returning War Veterans, Waco, TX, USA; 6Department of Health Policy and Management, Boston University School of Public Health, Boston, MA, USA Abstract: Despite decades of effort to improve quality and safety in health care, this goal feels increasingly elusive. Successful examples of improvement are infrequently replicated. This scoping review synthesizes 76 empirical or conceptual studies (out of 1208 originally screened addressing learning in quality or safety improvement, that were published in selected health care and management journals between January 2000 and December 2014 to deepen understanding of the role that collective learning plays in quality and safety improvement. We categorize learning activities using a theoretical model that shows how leadership and environmental factors support collective learning processes and practices, and in turn team and organizational improvement outcomes. By focusing on quality and safety improvement, our review elaborates the premise of learning theory that leadership, environment, and processes combine to create conditions that promote learning. Specifically, we found that learning for quality and safety improvement includes experimentation (including deliberate experimentation, improvisation, learning from failures, exploration, and exploitation, internal and external knowledge acquisition, performance monitoring and comparison, and training. Supportive learning environments are characterized by team characteristics like psychological

Methodology for Evaluating Quality and Reusability of Learning Objects

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Kurilovas, Eugenijus; Bireniene, Virginija; Serikoviene, Silvija

2011-01-01

The aim of the paper is to present the scientific model and several methods for the expert evaluation of quality of learning objects (LOs) paying especial attention to LOs reusability level. The activities of eQNet Quality Network for a European Learning Resource Exchange (LRE) aimed to improve reusability of LOs of European Schoolnet's LRE…

High School Students' Implicit Theories of What Facilitates Science Learning

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Parsons, Eileen Carlton; Miles, Rhea; Petersen, Michael

2011-01-01

Background: Research has primarily concentrated on adults' implicit theories about high quality science education for all students. Little work has considered the students' perspective. This study investigated high school students' implicit theories about what helped them learn science. Purpose: This study addressed (1) What characterizes high…

Innovative and high quality education through Open Education and OER

OpenAIRE

Stracke, Christian M.

2017-01-01

Online presentation and webinar by Stracke, C. M. (2017, 18 December) on "Innovative and high quality education through Open Education and OER" for the Belt and Road Open Education Learning Week by the Beijing Normal University, China.

Trajectories of Attaining and Sustaining Quality in E-learning ...

African Journals Online (AJOL)

Trajectories of Attaining and Sustaining Quality in E-learning. ... Log in or Register to get access to full text downloads. ... Experts must be employed who will evaluate appropriateness of e-learning procedures, accuracy of e-learning content ...

A MODEL OF MANAGEMENT STRATEGY FOR A QUALITY LEARNING IN ISLAMIC HIGHER EDUCATION (IHE

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Ara Hidayat

2016-03-01

Full Text Available The quality of Islamic education is generally influenced by several factors, among other things: leadership, organizational culture, lecturercompetence versus faculty student ratio, dynamic curriculum, library collections and learning facilities. The factors above are most likely to influence and impact the quality of education process in general. Developing a model of management strategy for quality learning is a minimal effort to improve quality graduates of a university. The model was developed on the basis of the following theories: (1 transformative leadership (Tichy and Devana (1997, (2 strategy of learning organization, (Peter (2002, and (3 a quality-based management (Griffin, 2004. Furthermore, the model shares the following characteristics: (1 a quality learning emerges from an effective and efficient management of academic service; (2 developing management of a quality learning is continuous lecture development; (3 lecture plays an important role in developing a quality learning; (4 a quality learning stipulates that a leader be loyal and committed to their job, wise and have a sense of democracy.

Emotional Climate and High Quality Learning Experiences in Science Teacher Education

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Bellocchi, Alberto; Ritchie, Stephen M.; Tobin, Kenneth; King, Donna; Sandhu, Maryam; Henderson, Senka

2014-01-01

The role of emotion during learning encounters in science teacher education is under-researched and under-theorized. In this case study, we explore the emotional climates (ECs), that is, the collective states of emotional arousal, of a preservice secondary science education class to illuminate practice for producing and reproducing high quality…

Quality specifications in postgraduate medical e-learning: an integrative literature review leading to a postgraduate medical e-learning model.

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De Leeuw, R A; Westerman, Michiel; Nelson, E; Ket, J C F; Scheele, F

2016-07-08

E-learning is driving major shifts in medical education. Prioritizing learning theories and quality models improves the success of e-learning programs. Although many e-learning quality standards are available, few are focused on postgraduate medical education. We conducted an integrative review of the current postgraduate medical e-learning literature to identify quality specifications. The literature was thematically organized into a working model. Unique quality specifications (n = 72) were consolidated and re-organized into a six-domain model that we called the Postgraduate Medical E-learning Model (Postgraduate ME Model). This model was partially based on the ISO-19796 standard, and drew on cognitive load multimedia principles. The domains of the model are preparation, software design and system specifications, communication, content, assessment, and maintenance. This review clarified the current state of postgraduate medical e-learning standards and specifications. It also synthesized these specifications into a single working model. To validate our findings, the next-steps include testing the Postgraduate ME Model in controlled e-learning settings.

Sleep Quality Prediction From Wearable Data Using Deep Learning.

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Sathyanarayana, Aarti; Joty, Shafiq; Fernandez-Luque, Luis; Ofli, Ferda; Srivastava, Jaideep; Elmagarmid, Ahmed; Arora, Teresa; Taheri, Shahrad

2016-11-04

The importance of sleep is paramount to health. Insufficient sleep can reduce physical, emotional, and mental well-being and can lead to a multitude of health complications among people with chronic conditions. Physical activity and sleep are highly interrelated health behaviors. Our physical activity during the day (ie, awake time) influences our quality of sleep, and vice versa. The current popularity of wearables for tracking physical activity and sleep, including actigraphy devices, can foster the development of new advanced data analytics. This can help to develop new electronic health (eHealth) applications and provide more insights into sleep science. The objective of this study was to evaluate the feasibility of predicting sleep quality (ie, poor or adequate sleep efficiency) given the physical activity wearable data during awake time. In this study, we focused on predicting good or poor sleep efficiency as an indicator of sleep quality. Actigraphy sensors are wearable medical devices used to study sleep and physical activity patterns. The dataset used in our experiments contained the complete actigraphy data from a subset of 92 adolescents over 1 full week. Physical activity data during awake time was used to create predictive models for sleep quality, in particular, poor or good sleep efficiency. The physical activity data from sleep time was used for the evaluation. We compared the predictive performance of traditional logistic regression with more advanced deep learning methods: multilayer perceptron (MLP), convolutional neural network (CNN), simple Elman-type recurrent neural network (RNN), long short-term memory (LSTM-RNN), and a time-batched version of LSTM-RNN (TB-LSTM). Deep learning models were able to predict the quality of sleep (ie, poor or good sleep efficiency) based on wearable data from awake periods. More specifically, the deep learning methods performed better than traditional logistic regression. “CNN had the highest specificity and

Uninformative contexts support word learning for high-skill spellers.

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Eskenazi, Michael A; Swischuk, Natascha K; Folk, Jocelyn R; Abraham, Ashley N

2018-04-30

The current study investigated how high-skill spellers and low-skill spellers incidentally learn words during reading. The purpose of the study was to determine whether readers can use uninformative contexts to support word learning after forming a lexical representation for a novel word, consistent with instance-based resonance processes. Previous research has found that uninformative contexts damage word learning; however, there may have been insufficient exposure to informative contexts (only one) prior to exposure to uninformative contexts (Webb, 2007; Webb, 2008). In Experiment 1, participants read sentences with one novel word (i.e., blaph, clurge) embedded in them in three different conditions: Informative (six informative contexts to support word learning), Mixed (three informative contexts followed by three uninformative contexts), and Uninformative (six uninformative contexts). Experiment 2 added a new condition with only three informative contexts to further clarify the conclusions of Experiment 1. Results indicated that uninformative contexts can support word learning, but only for high-skill spellers. Further, when participants learned the spelling of the novel word, they were more likely to learn the meaning of that word. This effect was much larger for high-skill spellers than for low-skill spellers. Results are consistent with the Lexical Quality Hypothesis (LQH) in that high-skill spellers form stronger orthographic representations which support word learning (Perfetti, 2007). Results also support an instance-based resonance process of word learning in that prior informative contexts can be reactivated to support word learning in future contexts (Bolger, Balass, Landen, & Perfetti, 2008; Balass, Nelson, & Perfetti, 2010; Reichle & Perfetti, 2003). (PsycINFO Database Record (c) 2018 APA, all rights reserved).

NMF-Based Image Quality Assessment Using Extreme Learning Machine.

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Wang, Shuigen; Deng, Chenwei; Lin, Weisi; Huang, Guang-Bin; Zhao, Baojun

2017-01-01

Numerous state-of-the-art perceptual image quality assessment (IQA) algorithms share a common two-stage process: distortion description followed by distortion effects pooling. As for the first stage, the distortion descriptors or measurements are expected to be effective representatives of human visual variations, while the second stage should well express the relationship among quality descriptors and the perceptual visual quality. However, most of the existing quality descriptors (e.g., luminance, contrast, and gradient) do not seem to be consistent with human perception, and the effects pooling is often done in ad-hoc ways. In this paper, we propose a novel full-reference IQA metric. It applies non-negative matrix factorization (NMF) to measure image degradations by making use of the parts-based representation of NMF. On the other hand, a new machine learning technique [extreme learning machine (ELM)] is employed to address the limitations of the existing pooling techniques. Compared with neural networks and support vector regression, ELM can achieve higher learning accuracy with faster learning speed. Extensive experimental results demonstrate that the proposed metric has better performance and lower computational complexity in comparison with the relevant state-of-the-art approaches.

Pioneering a Nursing Home Quality Improvement Learning Collaborative: A Case Study of Method and Lessons Learned.

Science.gov (United States)

Gillespie, Suzanne M; Olsan, Tobie; Liebel, Dianne; Cai, Xueya; Stewart, Reginald; Katz, Paul R; Karuza, Jurgis

2016-02-01

To describe the development of a nursing home (NH) quality improvement learning collaborative (QILC) that provides Lean Six Sigma (LSS) training and infrastructure support for quality assurance performance improvement change efforts. Case report. Twenty-seven NHs located in the Greater Rochester, NY area. The learning collaborative approach in which interprofessional teams from different NHs work together to improve common clinical and organizational processes by sharing experiences and evidence-based practices to achieve measurable changes in resident outcomes and system efficiencies. NH participation, curriculum design, LSS projects. Over 6 years, 27 NHs from urban and rural settings joined the QILC as organizational members and sponsored 47 interprofessional teams to learn LSS techniques and tools, and to implement quality improvement projects. NHs, in both urban and rural settings, can benefit from participation in QILCs and are able to learn and apply LSS tools in their team-based quality improvement efforts. Published by Elsevier Inc.

Full-reference quality assessment of stereoscopic images by learning binocular receptive field properties.

Science.gov (United States)

Shao, Feng; Li, Kemeng; Lin, Weisi; Jiang, Gangyi; Yu, Mei; Dai, Qionghai

2015-10-01

Quality assessment of 3D images encounters more challenges than its 2D counterparts. Directly applying 2D image quality metrics is not the solution. In this paper, we propose a new full-reference quality assessment for stereoscopic images by learning binocular receptive field properties to be more in line with human visual perception. To be more specific, in the training phase, we learn a multiscale dictionary from the training database, so that the latent structure of images can be represented as a set of basis vectors. In the quality estimation phase, we compute sparse feature similarity index based on the estimated sparse coefficient vectors by considering their phase difference and amplitude difference, and compute global luminance similarity index by considering luminance changes. The final quality score is obtained by incorporating binocular combination based on sparse energy and sparse complexity. Experimental results on five public 3D image quality assessment databases demonstrate that in comparison with the most related existing methods, the devised algorithm achieves high consistency with subjective assessment.

The Effect of Number and Presentation Order of High-Constraint Sentences on Second Language Word Learning.

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Ma, Tengfei; Chen, Ran; Dunlap, Susan; Chen, Baoguo

2016-01-01

This paper presents the results of an experiment that investigated the effects of number and presentation order of high-constraint sentences on semantic processing of unknown second language (L2) words (pseudowords) through reading. All participants were Chinese native speakers who learned English as a foreign language. In the experiment, sentence constraint and order of different constraint sentences were manipulated in English sentences, as well as L2 proficiency level of participants. We found that the number of high-constraint sentences was supportive for L2 word learning except in the condition in which high-constraint exposure was presented first. Moreover, when the number of high-constraint sentences was the same, learning was significantly better when the first exposure was a high-constraint exposure. And no proficiency level effects were found. Our results provided direct evidence that L2 word learning benefited from high quality language input and first presentations of high quality language input.

A critical reflection on how information communication technology can facilitate high quality teaching and learning for dyslexic children and their spelling

OpenAIRE

Green, Stacey

2017-01-01

This paper discusses how information communication technology (ICT) can facilitate high quality teaching and learning for dyslexic children and their spelling. Previous research has suggested that ICT can have a positive effect on dyslexic children’s spelling ability and confidence (Lange et al, 2006, Tuner and Pughe, 2003). The use of an IPad therefore was utilised in small group spelling sessions to assess the effect ICT, specifically IPads, can have on pupils who have a diagnosis of dyslex...

The role of context in preschool learning: a multilevel examination of the contribution of context-specific problem behaviors and classroom process quality to low-income children's approaches to learning.

Science.gov (United States)

Domínguez, Ximena; Vitiello, Virginia E; Fuccillo, Janna M; Greenfield, Daryl B; Bulotsky-Shearer, Rebecca J

2011-04-01

Research suggests that promoting adaptive approaches to learning early in childhood may help close the gap between advantaged and disadvantaged children. Recent research has identified specific child-level and classroom-level variables that are significantly associated with preschoolers' approaches to learning. However, further research is needed to understand the interactive effects of these variables and determine whether classroom-level variables buffer the detrimental effects of child-level risk variables. Using a largely urban and minority sample (N=275) of preschool children, the present study examined the additive and interactive effects of children's context-specific problem behaviors and classroom process quality dimensions on children's approaches to learning. Teachers rated children's problem behavior and approaches to learning and independent assessors conducted classroom observations to assess process quality. Problem behaviors in structured learning situations and in peer and teacher interactions were found to negatively predict variance in approaches to learning. Classroom process quality domains did not independently predict variance in approaches to learning. Nonetheless, classroom process quality played an important role in these associations; high emotional support buffered the detrimental effects of problem behavior, whereas high instructional support exacerbated them. The findings of this study have important implications for classroom practices aimed at helping children who exhibit problem behaviors. Copyright © 2010 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.

A Machine Learning Regression scheme to design a FR-Image Quality Assessment Algorithm

OpenAIRE

Charrier , Christophe; Lezoray , Olivier; Lebrun , Gilles

2012-01-01

International audience; A crucial step in image compression is the evaluation of its performance, and more precisely available ways to measure the quality of compressed images. In this paper, a machine learning expert, providing a quality score is proposed. This quality measure is based on a learned classification process in order to respect that of human observers. The proposed method namely Machine Learning-based Image Quality Measurment (MLIQM) first classifies the quality using multi Supp...

RULE-BASE METHOD FOR ANALYSIS OF QUALITY E-LEARNING IN HIGHER EDUCATION

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darsih darsih darsih

2016-04-01

Full Text Available ABSTRACT Assessing the quality of e-learning courses to measure the success of e-learning systems in online learning is essential. The system can be used to improve education. The study analyzes the quality of e-learning course on the web site www.kulon.undip.ac.id used a questionnaire with questions based on the variables of ISO 9126. Penilaiann Likert scale was used with a web app. Rule-base reasoning method is used to subject the quality of e-learningyang assessed. A case study conducted in four e-learning courses with 133 sample / respondents as users of the e-learning course. From the obtained results of research conducted both for the value of e-learning from each subject tested. In addition, each e-learning courses have different advantages depending on certain variables. Keywords : E-Learning, Rule-Base, Questionnaire, Likert, Measuring.

Quality of Learning Facilities and Learning Environment: Challenges for Teaching and Learning in Kenya's Public Universities

Science.gov (United States)

Ndirangu, Mwangi; Udoto, Maurice O.

2011-01-01

Purpose: The purpose of this article is to report findings on the perceptions of quality of educational facilities in Kenyan public universities, and the implications for teaching/learning, and the learning environment. Design/methodology/approach: The study adopted an exploratory descriptive design. A total of 332 and 107 undergraduate students…

Quality Management In Open And Distance Learning Situation ...

African Journals Online (AJOL)

The quality of Nigerian Education has been criticized from the lowest to the highest level of the system. It has been discussed in various mass media. People have expressed the need to raise the quality of our education in the country. This paper looks at the concepts of quality, management and open and distance learning.

e-Learning quality: Scale development and validation in Indian context

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Arun Kumar Agariya

2012-12-01

Full Text Available The aim of this paper is to develop a reliable and valid e-learning quality measurement scales from the learner as well as faculty perspectives in Indian context. Exploratory factor analysis followed by confirmatory factor analysis was done which is presented in two forms; covariance model and the structural model. The covariance model shows that the factors namely collaboration, industry acceptance and value addition are important from the learner’s point of view whereas the factors namely transparency in assessment, technical know-how and engagement (from students are important from faculty point of view. Factors namely course content and design structures (technology/website design are found equally important for learner’s as well as faculty’s perspective. The structural models validate the previously extracted factors along with their indicators. The findings of this study validate the long held belief that e-learning quality is a multidimensional construct and serves as a critical success factor. The proposed scale will help in identifying issues that contribute towards e-learning quality in Indian context and thereby formulating strategies accordingly, resulting in efficient (in terms of cost and effective (outcomes e-learning practices, which is the necessity of the hour for the economic development of the country. A fair amount of literature on e-learning dealt with identifying factors explaining the constructs of quality, perceived value and satisfaction. But there is paucity of research pertaining to e-learning quality scale development and validation from the learner as well as faculty perspective. This study is an attempt to bridge this gap in the existing literature.

Highly qualified does not equal high quality: A study of urban stakeholders' perceptions of quality in science teaching

Science.gov (United States)

Miranda, Rommel Joseph

By employing qualitative methods, this study sought to determine the perceptions that urban stakeholders hold about what characteristics should distinguish a high school science teacher whom they would consider to demonstrate high quality in science teaching. A maximum variation sample of six science teachers, three school administrators, six parents and six students from a large urban public school district were interviewed using semi-structured, in-depth interview techniques. From these data, a list of observable characteristics which urban stakeholders hold as evidence of high quality in science teaching was generated. Observational techniques were utilized to determine the extent to which six urban high school science teachers, who meet the NCLB Act criteria for being "highly qualified", actually possessed the characteristics which these stakeholders hold as evidence of high quality in science teaching. Constant comparative analysis was used to analyze the data set. The findings suggest that urban stakeholders perceive that a high school science teacher who demonstrates high quality in science teaching should be knowledgeable about their subject matter, their student population, and should be resourceful; should possess an academic background in science and professional experience in science teaching; should exhibit professionalism, a passion for science and teaching, and a dedication to teaching and student learning; should be skillful in planning and preparing science lessons and in organizing the classroom, in presenting the subject matter to students, in conducting a variety of hands-on activities, and in managing a classroom; and should assess whether students complete class goals and objectives, and provide feedback about grades for students promptly. The findings further reveal that some of the urban high school science teachers who were deemed to be "highly qualified", as defined by the NCLB Act, engaged in practices that threatened quality in science

An Evaluation Quality Framework for Analysing School-Based Learning (SBL) to Work-Based Learning (WBL) Transition Module

International Nuclear Information System (INIS)

Alseddiqi, M; Mishra, R; Pislaru, C

2012-01-01

The paper presents the results from a quality framework to measure the effectiveness of a new engineering course entitled 'school-based learning (SBL) to work-based learning (WBL) transition module' in the Technical and Vocational Education (TVE) system in Bahrain. The framework is an extended version of existing information quality frameworks with respect to pedagogical and technological contexts. It incorporates specific pedagogical and technological dimensions as per the Bahrain modern industry requirements. Users' views questionnaire on the effectiveness of the new transition module was distributed to various stakeholders including TVE teachers and students. The aim was to receive critical information in diagnosing, monitoring and evaluating different views and perceptions about the effectiveness of the new module. The analysis categorised the quality dimensions by their relative importance. This was carried out using the principal component analysis available in SPSS. The analysis clearly identified the most important quality dimensions integrated in the new module for SBL-to-WBL transition. It was also apparent that the new module contains workplace proficiencies, prepares TVE students for work placement, provides effective teaching and learning methodologies, integrates innovative technology in the process of learning, meets modern industrial needs, and presents a cooperative learning environment for TVE students. From the principal component analysis finding, to calculate the percentage of relative importance of each factor and its quality dimensions, was significant. The percentage comparison would justify the most important factor as well as the most important quality dimensions. Also, the new, re-arranged quality dimensions from the finding with an extended number of factors tended to improve the extended version of the quality information framework to a revised quality framework.

Quality of E-Learners’ Time and Learning Performance Beyond Quantitative Time-on-Task

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Margarida Romero

2011-06-01

Full Text Available AbstractAlong with the amount of time spent learning (or time-on-task, the quality of learning time has a real influence on learning performance. Quality of time in online learning depends on students’ time availability and their willingness to devote quality cognitive time to learning activities. However, the quantity and quality of the time spent by adult e-learners on learning activities can be reduced by professional, family, and social commitments. Considering that the main time pattern followed by most adult e-learners is a professional one, it may be beneficial for online education programs to offer a certain degree of flexibility in instructional time that might allow adult learners to adjust their learning times to their professional constraints. However, using the time left over once professional and family requirements have been fulfilled could lead to a reduction in quality time for learning. This paper starts by introducing the concept of quality of learning time from an online student-centred perspective. The impact of students’ time-related variables (working hours, time-on-task engagement, time flexibility, time of day, day of week is then analyzed according to individual and collaborative grades achieved during an online master’s degree program. The data show that both students’ time flexibility (r = .98 and especially their availability to learn in the morning are related to better grades in individual (r = .93 and collaborative activities (r = .46.

The role of learning and customer orientation for delivering service quality to patients.

Science.gov (United States)

Bellou, Victoria

2010-01-01

This study seeks to investigate the impact that learning orientation, internal and external customer orientation have on quality of care delivered to patients. Additionally, given the differences between managerial and non-managerial employees regarding organizational value perception and focus on the needs of internal customers and patients, the study aims to examine potential variations in these relationships. The study took place in ten out of 31 public hospitals operating in the five largest districts in continental Greece. Hospitals were chosen on a random basis. Out of 800 questionnaires that were personally administered, 499 usable responses were gathered. The extent to which employees create and use knowledge and focus on satisfying the needs of both internal customers and patients is indicative of the quality of care provided. In addition, only managerial employees believe that learning orientation reinforces quality of care. The fact that employees rated quality of care delivered to patients and that most employees had extended tenure should be taken into consideration when interpreting these findings. Top management needs to create a strong and clear culture that emphasizes learning, as well as internal customer and patient orientation, and infuse them among all organizational members. Moreover, human resource management policies should be aligned to meeting or exceeding patients' requests and expectations. The paper enhances existing knowledge with regard to the antecedents of offering medical care of high quality.

Developing mathematics learning set for special-needs junior high school student oriented to learning interest and achievement

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Ai Sadidah

2016-11-01

Full Text Available This study aims to produce a mathematics learning set for special-needs students (mathematical learning disability and mathematically gifted of Junior High School Grade VIII Second Semester oriented to learning interests and achievement which is valid, practical, and effective. This study was a research and development study using the Four-D development model consisting of four stages: (1 define, (2 design, (3 develop, and (4 disseminate. The quality of learning set consisting of the following three criterions: (1 validity, (2 practicality, and (3 effectiveness.  The data analysis technique used in this study is a descriptive quantitative analysis. The research produced learning set consisting of lesson plans and student worksheets. The result of the research shows that: (1 the learning set fulfill the valid criteria base on experts’ appraisal; (2 the learning set fulfill the practical criterion base on teacher’s and students’ questionnaire, and observation of learning implementation; (3 the learning set fulfill the effectiveness criterion base on learning interest and achievement.

REVITALIZATION OF ENGLISH TEACHER EDUCATION: AN EFFORT TO IMPROVE THE QUALITY OF STUDENTS‟ LEARNING IN ENGLISH

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Abdul Muth‘im

2017-04-01

Full Text Available It is commonly believed that the quality of teachers correlates with the quality of students‘ learning. This implies that if the quality of teachers is good the quality of students‘ learning will be good too. On the contrary, if the quality of teachers is bad the quality of students‘ learning will be bad too. The following data may justify this belief. First, the results of UKA (Uji Kompetensi Awal and UKG (Uji Kompetensi Guru held by the Ministry of Education and Culture in 2012 indicate that the mean score of the first was 42.25 whereas the mean score of the second was 45.82 – lower than the passing grade of UN (Ujian Nasional. When they are correlated with the results of study carried out by PISA on mathematics, natural sciences and language in 2009 and the study conducted by TIMSS on mathematics and natural sciences in 2007 and 2011 the belief may have its justification. PISA‘s study uncovered that Indonesian students were only in level 3 (out of 6 levels. Whereas, TIMSS‘ study revealed that around 95% of Indonesian junior high school students could only reach intermediate level (among five levels. Based on the above data, there must some efforts that must be done to improve the quality of teachers so that the quality of students‘ learning can be made better too. Revitalization of language teacher education is suggested to be one of the solutions.

Implementation of dictionary pair learning algorithm for image quality improvement

Science.gov (United States)

Vimala, C.; Aruna Priya, P.

2018-04-01

This paper proposes an image denoising on dictionary pair learning algorithm. Visual information is transmitted in the form of digital images is becoming a major method of communication in the modern age, but the image obtained after transmissions is often corrupted with noise. The received image needs processing before it can be used in applications. Image denoising involves the manipulation of the image data to produce a visually high quality image.

A Context-Based Approach to E-Learning Quality

DEFF Research Database (Denmark)

Kjærgaard, Hanne Wacher; Kjeldsen, Lars Peter

The aim of the article is to provide new, operational knowledge concerning implementation and quality assurance of e-learning. This is done through the merging of the two models presented in Högskoleverket’s report (Högskoleverket, 2008) and the article, ”The quality of evaluation is enhanced, when...... the model used is contextualized”2 (Kjeldsen, Laursen, & Mark, 2010) respectively. The article builds on the basic assumption that staff who are introduced to e-learning need to know why they must acquire new knowledge and skills, and what it will take for them to reach a position where they master the new...

Students' Conception of Learning Environment and Their Approach to Learning and Its Implication on Quality Education

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Belaineh, Matheas Shemelis

2017-01-01

Quality of education in higher institutions can be affected by different factors. It partly rests on the learning environment created by teachers and the learning approach students are employing during their learning. The main purpose of this study is to examine the learning environment at Mizan Tepi University from students' perspective and their…

School-Based Health Education Programmes, Health-Learning Capacity and Child Oral Health--related Quality of Life

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Freeman, Ruth; Gibson, Barry; Humphris, Gerry; Leonard, Helen; Yuan, Siyang; Whelton, Helen

2016-01-01

Objective: To use a model of health learning to examine the role of health-learning capacity and the effect of a school-based oral health education intervention (Winning Smiles) on the health outcome, child oral health-related quality of life (COHRQoL). Setting: Primary schools, high social deprivation, Ireland/Northern Ireland. Design: Cluster…

Factors that Impact Quality of E-Teaching/Learning Technologies in Higher Education

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Daukilas, Sigitas; Kaciniene, Irma; Vaisnoriene, Daiva; Vascila, Vytautas

2008-01-01

The article analyzes and assesses factors that have impact upon the quality of eTeaching/learning technologies in higher education; it is on their basis that the concept of eTeaching/learning quality is denied. Research data about the students' motives in choosing various teaching/learning technologies for the development of their competence are…

Teaching Surgical Procedures with Movies: Tips for High-quality Video Clips

OpenAIRE

Jacquemart, Mathieu; Bouletreau, Pierre; Breton, Pierre; Mojallal, Ali; Sigaux, Nicolas

2016-01-01

Summary: Video must now be considered as a precious tool for learning surgery. However, the medium does present production challenges, and currently, quality movies are not always accessible. We developed a series of 7 surgical videos and made them available on a publicly accessible internet website. Our videos have been viewed by thousands of people worldwide. High-quality educational movies must respect strategic and technical points to be reliable.

Teaching Surgical Procedures with Movies: Tips for High-quality Video Clips.

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Jacquemart, Mathieu; Bouletreau, Pierre; Breton, Pierre; Mojallal, Ali; Sigaux, Nicolas

2016-09-01

Video must now be considered as a precious tool for learning surgery. However, the medium does present production challenges, and currently, quality movies are not always accessible. We developed a series of 7 surgical videos and made them available on a publicly accessible internet website. Our videos have been viewed by thousands of people worldwide. High-quality educational movies must respect strategic and technical points to be reliable.

A Study on Knowledge Gain and Retention when Using Multimedia Learning Materials of Different Quality

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Maja Gligora Marković

2015-07-01

The results of an experimental study that involves low-quality and high-quality MLMs for two different topics and their effects on knowledge gain and retention of the polytechnic school students are presented. For the purpose of the research the LORI assessment tool was used to evaluate the quality of MLMs. The analysis of research data shows that MLMs developed according to the principles of multimedia learning and principles for reducing cognitive load were perceived as being of higher quality than those that were not developed using multimedia principles. Furthermore, the students’ usage of high-quality MLMs during treatment resulted in better knowledge acquisition and retention indicated by significantly higher scores in the three knowledge assessments.

The implementation of e-learning with team builder at vocational high schools

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Mahmud Al Haq Patwary

2015-06-01

Full Text Available This research is aimed at: (1 producing an appropriate e-learning for English language studies in vocational high school, (2 evaluating the suitability of the developed e-learning in terms of appropriateness, accuracy and clarity, screen presentation and design, and appropriateness of the team builder module aspect, and (3 evaluating the effectiveness of the e-learning in practical application. This research and development (R&D study used Alessi and Trollip’s model rearranged following ADDIE model, where the development of instruction followed Dick and Carey’s model and the need assessment procedures were adapted from Lee & Owens. Overall appropriateness and quality of the e-learning from alpha testing is ‘very appropriate’ and from beta testing is ‘excellent’. Alpha testing reveals that, the Team Builder Module is ‘very appropriate’ and beta testing reveals that, its overall quality is ‘excellent’. The e-learning is highly effective. The average score of the students raises 3.82 points (or 42.44% in the post-test from pre-test score. The minimum score of the post-test (i.e. 8 is more than the maximum score of the pre-test (i.e. 7, so it is concluded that the use of e-learning does not deteriorate the performance of the students, but improves their performance.

A Model for Discussing the Quality of Technology-Enhanced Learning in Blended Learning Programmes

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Casanova, Diogo; Moreira, António

2017-01-01

This paper presents a comprehensive model for supporting informed and critical discussions concerning the quality of Technology-Enhanced Learning in Blended Learning programmes. The model aims to support discussions around domains such as how institutions are prepared, the participants' background and expectations, the course design, and the…

Fostering the Quality of Teaching and Learning by Developing the "Neglected Half " of University Teachers' Competencies

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Marentic Požarnik, Barica; Lavric, Andreja

2015-01-01

For too long, the quality of teaching and learning in universities has been undervalued in comparison to research. Current social, economic, ecological and other challenges require that more attention be given to measures to improve the situation. Academic staff should receive incentives, policy support and high-quality pedagogical training to…

Quality Assurance in E-Learning: PDPP Evaluation Model and Its Application

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Zhang, Weiyuan; Cheng, Y. L.

2012-01-01

E-learning has become an increasingly important teaching and learning mode in educational institutions and corporate training. The evaluation of e-learning, however, is essential for the quality assurance of e-learning courses. This paper constructs a four-phase evaluation model for e-learning courses, which includes planning, development,…

Language and Text-to-Speech Technologies for Highly Accessible Language & Culture Learning

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Anouk Gelan

2011-06-01

Full Text Available This contribution presents the results of the “Speech technology integrated learning modules for Intercultural Dialogue” project. The project objective was to increase the availability and quality of e-learning opportunities for less widely-used and less taught European languages using a user-friendly and highly accessible learning environment. The integration of new Text-to-Speech developments into web-based authoring software for tutorial CALL had a double goal: on the one hand increase the accessibility of e-learning packages, also for learners having difficulty reading (e.g. dyslexic learners or preferring auditory learning; on the other hand exploiting some didactic possibilities of this technology.

Game-Based Learning in an OpenSim-Supported Virtual Environment on Perceived Motivational Quality of Learning

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Kim, Heesung; Ke, Fengfeng; Paek, Insu

2017-01-01

This experimental study was intended to examine whether game-based learning (GBL) that encompasses four particular game characteristics (challenges, a storyline, immediate rewards and the integration of game-play with learning content) in an OpenSimulator-supported virtual reality learning environment can improve perceived motivational quality of…

eLearning-radiology.com. Sustainability for quality assurance; eLearning-radiology.com. Nachhaltigkeit im Sinne der Qualitaetssicherung

Energy Technology Data Exchange (ETDEWEB)

Ketelsen, D. [Tuebingen Univ. (Germany). Abt. fuer Diagnostische und Interventionelle Radiologie; Talanow, R. [Cleveland Clinic, Cleveland, OH (United States). Abt. fuer Nuklearmedizin; Uder, M. [Erlangen-Nuernberg Univ. (Germany). Inst. fuer Diagnostische Radiologie; Grunewald, M. [Erlangen-Nuernberg Univ. (Germany). Nuklearmedizinische Klinik

2009-04-15

Purpose: The aim of the study was to analyze the availability of published radiological e-learning tools and to establish a solution for quality assurance. Materials and Methods: Substantial pubmed research was performed to identify radiological e-learning tools. 181 e-learning programs were selected. As examples two databases expanding their programs with external links, Compare (n = 435 external links) and TNT-Radiology (n = 1078 external links), were evaluated. A concept for quality assurance was developed by an international taskforce. Results: At the time of assessment, 56.4 % (102/181) of the investigated e-learning tools were accessible at their original URL. A subgroup analysis of programs published 5 to 8 years ago showed significantly inferior availability to programs published 3 to 5 years ago (p < 0.01). The analysis of external links showed 49.2 % and 61.0 % accessible links for the programs Compare (published 2003) and TNT-Radiology (published 2006), respectively. As a consequence, the domain www.eLearning-radiology.com was developed by the taskforce and published online. This tool allows authors to present their programs and users to evaluate the e-learning tools depending on several criteria in order to remove inoperable links and to obtain information about the complexity and quality of the e-learning tools. (orig.)

Collaborative activities for improving the quality of science teaching and learning and learning to teach science

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Tobin, Kenneth

2012-03-01

I have been involved in research on collaborative activities for improving the quality of teaching and learning high school science. Initially the collaborative activities we researched involved the uses of coteaching and cogenerative dialogue in urban middle and high schools in Philadelphia and New York (currently I have active research sites in New York and Brisbane, Australia). The research not only transformed practices but also produced theories that informed the development of additional collaborative activities and served as interventions for research and creation of heuristics for professional development programs and teacher certification courses. The presentation describes a collage of collaborative approaches to teaching and learning science, including coteaching, cogenerative dialogue, radical listening, critical reflection, and mindful action. For each activity in the collage I provide theoretical frameworks and empirical support, ongoing research, and priorities for the road ahead. I also address methodologies used in the research, illustrating how teachers and students collaborated as researchers in multilevel investigations of teaching and learning and learning to teach that included ethnography, video analysis, and sophisticated analyses of the voice, facial expression of emotion, eye gaze, and movement of the body during classroom interactions. I trace the evolution of studies of face-to-face interactions in science classes to the current focus on emotions and physiological aspects of teaching and learning (e.g., pulse rate, pulse strength, breathing patterns) that relate to science participation and achievement.

Do quality improvement collaboratives' educational components match the dominant learning style preferences of the participants?

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Weggelaar-Jansen, Anne Marie; van Wijngaarden, Jeroen; Slaghuis, Sarah-Sue

2015-06-20

Quality improvement collaboratives are used to improve healthcare by various organizations. Despite their popularity literature shows mixed results on their effectiveness. A quality improvement collaborative can be seen as a temporary learning organization in which knowledge about improvement themes and methods is exchanged. In this research we studied: Does the learning approach of a quality improvement collaborative match the learning styles preferences of the individual participants and how does that affect the learning process of participants? This research used a mixed methods design combining a validated learning style questionnaire with data collected in the tradition of action research methodology to study two Dutch quality improvement collaboratives. The questionnaire is based on the learning style model of Ruijters and Simons, distinguishing five learning style preferences: Acquisition of knowledge, Apperception from others, Discovery of new insights, Exercising in fictitious situations and Participation with others. The most preferred learning styles of the participants were Discovery and Participation. The learning style Acquisition was moderately preferred and Apperception and Exercising were least preferred. The educational components of the quality improvement collaboratives studied (national conferences, half-day learning sessions, faculty site visits and use of an online tool) were predominantly associated with the learning styles Acquisition and Apperception. We observed a decrease in attendance to the learning activities and non-conformance with the standardized set goals and approaches. We conclude that the participants' satisfaction with the offered learning approach changed over time. The lacking match between these learning style preferences and the learning approach in the educational components of the quality improvement collaboratives studied might be the reason why the participants felt they did not gain new insights and therefore ceased

Using Early Learning Standards to Provide High-Quality Education for All Children: The Early Learning Guidelines Toolkit

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Flores, Roseanne L.; Curby, Timothy W.; Coleman, Hardin; Melo, Kristan

2016-01-01

Today with the rise in the number of 3- to 6-year-old children enrolled in center-based early childhood programs, and a focus on program quality, it becomes imperative for educators to have a better understanding of the role research plays in establishing high-quality programs as these programs provide much of the foundation that supports early…

Quality Computer Assisted Mobile Learning (CAML and Distance Education Leadership in Managing Technology Enhanced Learning Management System (TELMS in the Malaysian Public Tertiary Education

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Lee Tan Luck

2009-07-01

Full Text Available Abstract - The success in the implementation of a quality computer assisted mobile learning and distance education in a Technology Enhanced Learning Management System is highly rely on the academic leadership in managing and application of Information and Communication Technology (ICT in the tertiary level. The effectiveness of its leadership, knowledge, application and management of ICT and learning management system is of utmost important. Successful application and management includes quality and cost effectiveness of universities administration, CAML and distance education leadership development, organizational culture, academic staffs and students’ attitude and their commitment towards teaching and learning process, support towards the usage of state of the art techno-educational facilities, availability of ICT resources, maintenance and funding of a Learning Management System. This paper will discuss the above factors, which present a comprehensive framework for the implementation of a quality CAML and distance education environment in ICT application and management in the Malaysian public universities. Selected Fifty-two respondents from two Malaysian public universities which offer e Learning and distance education with Learning Management System were acquired. A survey questionnaire is used to determine the effectiveness of ICT and mobile learning application management. Data from the questionnaires were analyzed by using non-parametric and parametric statistics testing. Results of this study show there is significant different in the CAML and distance education leadership in TELMS and the application of ICT and its management in the Malaysian public universities. The study will also address the implementation elements necessary for transforming the public universities and its CAML and distance education teaching and learning process into an effective and result oriented computer assisted mobile learning management model in public

Automated Spirometry Quality Assurance: Supervised Learning From Multiple Experts.

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Velickovski, Filip; Ceccaroni, Luigi; Marti, Robert; Burgos, Felip; Gistau, Concepcion; Alsina-Restoy, Xavier; Roca, Josep

2018-01-01

Forced spirometry testing is gradually becoming available across different healthcare tiers including primary care. It has been demonstrated in earlier work that commercially available spirometers are not fully able to assure the quality of individual spirometry manoeuvres. Thus, a need to expand the availability of high-quality spirometry assessment beyond specialist pulmonary centres has arisen. In this paper, we propose a method to select and optimise a classifier using supervised learning techniques by learning from previously classified forced spirometry tests from a group of experts. Such a method is able to take into account the shape of the curve as an expert would during visual inspection. We evaluated the final classifier on a dataset put aside for evaluation yielding an area under the receiver operating characteristic curve of 0.88 and specificities of 0.91 and 0.86 for sensitivities of 0.60 and 0.82. Furthermore, other specificities and sensitivities along the receiver operating characteristic curve were close to the level of the experts when compared against each-other, and better than an earlier rules-based method assessed on the same dataset. We foresee key benefits in raising diagnostic quality, saving time, reducing cost, and also improving remote care and monitoring services for patients with chronic respiratory diseases in the future if a clinical decision support system with the encapsulated classifier is to be integrated into the work-flow of forced spirometry testing.

A Technology Enhanced Learning Model for Quality Education

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Sherly, Elizabeth; Uddin, Md. Meraj

Technology Enhanced Learning and Teaching (TELT) Model provides learning through collaborations and interactions with a framework for content development and collaborative knowledge sharing system as a supplementary for learning to improve the quality of education system. TELT deals with a unique pedagogy model for Technology Enhanced Learning System which includes course management system, digital library, multimedia enriched contents and video lectures, open content management system and collaboration and knowledge sharing systems. Open sources like Moodle and Wiki for content development, video on demand solution with a low cost mid range system, an exhaustive digital library are provided in a portal system. The paper depicts a case study of e-learning initiatives with TELT model at IIITM-K and how effectively implemented.

SUPERVISION IMPLEMENTATION IN MANAGEMENT QUALITY: AN ATTEMPT TO IMPROVE THE QUALITY OF LEARNING AT MADRASAH ALIYAH DARUL A’MAL METRO

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Subandi Subandi

2016-03-01

Full Text Available The primary purpose of this qualitative study is to identify and analyze supervision by implementing management quality to improve the quality of learning at Madrasah Aliyah Darul A’mal Metro, Lampung. The quality of management implementation is elaborated in the steps of assurance of learning quality. Two instruments, which consist of observation and questionnaire, were used in this study of which each instrument was analyzed based the deductive framework. The results of this study from each instrument revealed four steps of assurance of learning quality, among others (1 by socializing academic supervision program and its advantages to all stake holders, and (2 by implementing stages of assurance through academic supervision by the principals of Madrasah Aliyah Darul A’mal and supervisor, (3 performing supervision that is equipped with valid instrument to measure learning success, (4 performing the follow-up program by clinical and group discussion to provide appropriate model of performance.

Structure, Content, Delivery, Service, and Outcomes: Quality e-Learning in higher education

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Colla J. MacDonald

2005-07-01

Full Text Available This paper addresses the need for quality e-Learning experiences. We used the Demand-Driven Learning Model (MacDonald, Stodel, Farres, Breithaupt, and Gabriel, 2001 to evaluate an online Masters in Education course. Multiple data collection methods were used to understand the experiences of stakeholders in this case study: the learners, design team, and facilitators. We found that all five dimensions of the model (structure, content, delivery, service, and outcomes must work in concert to implement a quality e-Learning course. Key themes include evolving learner needs, the search for connection, becoming an able e-participant, valued interactions, social construction of content, integration of delivery partners, and mindful weighing of benefits and trade-offs. By sharing insights into what is needed to design and deliver an e-Learning experience, our findings add to the growing knowledge of online learning. Using this model to evaluate perceptions of quality by key stakeholders has led to insights and recommendations on the Demand Driven Learning Model itself which may be useful for researchers in this area and strengthen the model. Quality has been defined in terms of the design of the e-Learning experience, the contextualized experience of learners, and evidence of learning outcomes (Carr and Carr, 2000; Jung 2000; Salmon, 2000. Quality and design of e-Learning courses, however, are sometimes compromised in an “ . . . effort to simply get something up and running��� in response to pressing consumer demands (Dick, 1996, p. 59. Educators and researchers have voiced concern over the lack of rigorous evaluation studies of e-Learning programs (e.g., Arbaugh, 2000; Howell, Saba, Lindsay, and Williams, 2004; Lockyer, Patterson, and Harper, 1999; Robinson, 2001. McGorry (2003 adds, “although the number of courses being delivered via the Internet is increasing rapidly, our knowledge of what makes these courses effective learning experiences

Identifying Students learning Styles as a Way to Promote Learning Quality

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Jafar Sadegh Tabrizi

2013-05-01

Full Text Available Introduction: The major part of peoples knowledge, skills and abilities are achieved during the complex process called learning. Learning is not simply the product of mere intelligence and capabilities of individual; it also depends on other factors such as personality traits, personal interests, and t ype of duty and di fferent methods and st yles. The understanding of each individual fits with his/her learning style. The aim of this study was to determine the learning st yles of Health Care Management students in Tabriz University of Medical Sciences. Methods: Learning styles of 55 Health Services Management students in Tabriz Health and Nutrition Faculty were evaluated in 2009 using a twelve-question Kolb questionnaire in a descriptive study. The data was anal yzed using SPSS. And the frequency of students learning styles was identified by their ages and averages. Results: In this study, 69% of the students were female and the dominant learning method was Assimilator (42%. Other styles with a regard to their frequency were Diverge (24%, Coverage (22%and Accommodator (12%. In the present study,no statistically significant relationship was found in learning styles between the gender (p= 0.644and average (p = 0.676of the students. Conclusion: Assimilator and Diverge methods were the most common ones among the management students. Hence, to improve the quality of learning in this group of students, it is proposed that the teachers use interactive and creative teaching methods such as small and la rge group discussion,brain storming, problem solving, debate-based learning, self-learning and lecturing.

[A comparison of the most used instruments to assess the quality of clinical learning environments of nursing students].

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Nicotera, Raffaella; Altini, Pietro; Dimonte, Valerio

2017-01-01

. A comparison of the most used instruments to assess the quality of clinical learning environments of nursing students. A clinical learning environment (CLE) promotes the development of professional competences, of critical and diagnostic reasoning in future nurses, thus the continuous assessment of its quality is pivotal. To describe and compare the most used instruments to measure the nursing students' perception of the quality of CLEs. Six validated questionnaires were identified and compared: CLE (Clinical Learning Environment), CLEDI (Clinical Learning Environment Diagnostic Inventory), SECEE (Student Evaluation of Clinical Education Environment), CLEI (Clinical Learning Environment Inventory), CLES (Clinical Learning Environment and Supervision), CLES+T (Clinical Learning Environment and Supervision plus Teacher nurse). The following elements were described: conceptual framework, psychometric properties, dimensions explored, the more relevant constructs able to guarantee a high quality CLE: relations between students and ward staff; level of involvement of nurse coordinators; inclusion of the student in the ward team, ward climate, involvement of clinical teacher and feedback to the students. The only instrument that explores all the relevant constructs is the CLES+T. The involvement of clinical nurse teacher and nurse coordinator are the less explored dimensions. The questionnaires CLEI, CLES and CLES+T, validated in Italian and used in several learning environments share the following weaknesses: do not assess the feedback offered to the students, the students' satisfaction for the tutoring strategies and the role of different professionals in the students' learning. The analysis of strengths and weaknesses is the basis to start from to devise and validate a new questionnaire.

E-Learning Quality Assurance: A Perspective of Business Teacher Educators and Distance Learning Coordinators

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Chapman, Betty F.; Henderson, Ronda G.

2010-01-01

Background: Business teacher educators and distance learning coordinators have the responsibility to deliver quality online courses and programs. Therefore, they must make sure that quality assurance benchmarks are present in online business education courses and programs. Purpose: The purpose of this study was to examine the extent to which…

A variation reduction allocation model for quality improvement to minimize investment and quality costs by considering suppliers’ learning curve

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Rosyidi, C. N.; Jauhari, WA; Suhardi, B.; Hamada, K.

2016-02-01

Quality improvement must be performed in a company to maintain its product competitiveness in the market. The goal of such improvement is to increase the customer satisfaction and the profitability of the company. In current practice, a company needs several suppliers to provide the components in assembly process of a final product. Hence quality improvement of the final product must involve the suppliers. In this paper, an optimization model to allocate the variance reduction is developed. Variation reduction is an important term in quality improvement for both manufacturer and suppliers. To improve suppliers’ components quality, the manufacturer must invest an amount of their financial resources in learning process of the suppliers. The objective function of the model is to minimize the total cost consists of investment cost, and quality costs for both internal and external quality costs. The Learning curve will determine how the employee of the suppliers will respond to the learning processes in reducing the variance of the component.

Geriatrics Curricula for Internal and Family Medicine Residents: Assessing Study Quality and Learning Outcomes.

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Cheng, Huai Yong; Davis, Molly

2017-02-01

Prior reviews of geriatrics curricula for internal medicine (IM) and family medicine (FM) residents have not evaluated study quality or assessed learning objectives or specific IM or FM competencies. This review of geriatrics curricula for IM and FM residents seeks to answer 3 questions: (1) What types of learning outcomes were measured? (2) How were learning outcomes measured? and (3) What was the quality of the studies? We evaluated geriatrics curricula that reported learning objectives or competencies, teaching methods, and learning outcomes, and those that used a comparative design. We searched PubMed and 4 other data sets from 2003-2015, and assessed learning outcomes, outcome measures, and the quality of studies using the Medical Education Research Study Quality Instrument (MERSQI) and Best Evidence Medical Education (BEME) methods. Fourteen studies met inclusion criteria. Most curricula were intended for IM residents in the inpatient setting; only 1 was solely dedicated to FM residents. Median duration was 1 month, and minimum geriatrics competencies covered were 4. Learning outcomes ranged from Kirkpatrick levels 1 to 3. Studies that reported effect size showed a considerable impact on attitudes and knowledge, mainly via pretests and posttests. The mean MERSQI score was 10.5 (range, 8.5-13) on a scale of 5 (lowest quality) to 18 (highest quality). Few geriatrics curricula for IM and FM residents that included learning outcome assessments were published recently. Overall, changes in attitudes and knowledge were sizeable, but reporting was limited to low to moderate Kirkpatrick levels. Study quality was moderate.

Evaluation Criterion for Quality Assessment of E-Learning Content

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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…

Measuring Teachers and Learners' Perceptions of the Quality of Their Online Learning Experience

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Gómez-Rey, Pilar; Barbera, Elena; Fernández-Navarro, Francisco

2016-01-01

This article explores the quality of the online learning experience based on the Sloan-C framework and the Online Learning Consortium's (OLC) quality scorecard. The OLC index has been implemented to evaluate quality in online programs from different perspectives. Despite this, the opinions of learners are ignored, and it is built using feedback…

What Role Does Knowledge Quality Play in Online Students' Satisfaction, Learning and Loyalty? An Empirical Investigation in an eLearning Context

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Waheed, M.; Kaur, K.; Kumar, S.

2016-01-01

Quality knowledge has an impact on online students learning outcomes and loyalty. A framework that delineates the perceived eLearning knowledge quality (KQ) and its relationship with learning outcomes and loyalty is currently absent. Grounded in the KQ and information system success framework--this study presents the indicators of perceived…

Understanding the Quality of Out-of-Class English Learning

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Lai, Chun; Zhu, Weimin; Gong, Gang

2015-01-01

Out-of-class learning constitutes an important context for human development, and active engagement in out-of-class activities is associated with successful language development. However, not all out-of-class experiences are equally beneficial to learning, and it is of paramount importance to understand what quality out-of-class English language…

Animated Cell Biology: A Quick and Easy Method for Making Effective, High-Quality Teaching Animations

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O'Day, Danton H.

2006-01-01

There is accumulating evidence that animations aid learning of dynamic concepts in cell biology. However, existing animation packages are expensive and difficult to learn, and the subsequent production of even short animations can take weeks to months. Here I outline the principles and sequence of steps for producing high-quality PowerPoint…

CRITERIA AND QUALITY INDICATORS OF INFORMATION AND COMMUNICATION TECHNOLOGIES OF LEARNING

OpenAIRE

Oleg M. Spirin

2013-01-01

In the article the concept of information and communication technology and information and communication technology of learning is specified. It is grounded an external and internal criteria of information and communication technologies of learning quality assessment based on experience of information and communication technology quality assessment of the methodical system of informatics teachers vocational training. There are considered the external indexes – design, structural, organization...

Breaking Boundaries: Quality E-Learning for the Global Knowledge Society

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Lalilta Rajasingham

2009-03-01

Full Text Available The ideas and issues raised in this paper reflect a global challenge to understand the nature of E-learning in a knowledge society so that appropriate quality frameworks can be developed for new educational environments. E-learning and virtual classes evolved from distance education and struggle to gain recognition in mainstream education as legitimate quality higher education providers. The increasing use of information technology advances, particularly the internet present new educational paradigms and models that challenge conventional assumptions and indicators of quality assurance. What is needed is the development of global standards and quality assurance frameworks that can improve pedagogy in diverse cultural, knowledge and delivery paradigms. This paper seeks to explore how quality is defined, who sets whose standards, who will teach what to whom with what effect in a world of competing paradigms and parallel worlds of reality and virtual reality.

Quality in South African early learning centres: Mothers’ and teachers’ views and understanding

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Judy Van Heerden

2016-11-01

Full Text Available This study investigated how quality in early learning centres (preschools in South Africa was experienced and perceived by mothers and teachers. A theoretical framework, based on a model of quality development by Woodhead (1996, informed the study. This framework that consists of input (structural, process and outcome quality indicators is a well-established model for quality development, which has been used in developing countries. The findings generated from a thematical analysis of interview data showed that aspects perceived by mothers and teachers as quality indicators in early learning centres were predominantly process indicators and hard to ‘measure’ in a quantitative way. For mothers and teachers, children’s social-emotional well-being, holistic development, a normative foundation for values and respect, effective infrastructure and accountable learning indicated quality. A quality school climate enhances emotional and social well-being, and the findings suggest that for mothers and teachers quality concerns were not about that which the early learning centres have provided in terms of facilities (input indicators, but rather about the process indicators where centres promote children’s holistic well-being. The only outcome indicator that was regarded as extremely important by mothers and important, but not to the same extent, by teachers, is whether children are happy and content and enjoying school.

Learning Outcomes--A Useful Tool in Quality Assurance? Views from Academic Staff

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Aamodt, Per Olaf; Frølich, Nicoline; Stensaker, Bjørn

2018-01-01

While the establishment of quality assurance has been seen for decades as the most significant instrument to secure and enhance the quality of teaching and learning in higher education, the concept of developing more specific learning outcomes has in recent years attracted much interest, not least due to the creation of national qualification…

Technology Education Using a Novel Approach in e-Learning-Towards Optimizing the Quality of Learning Outcomes

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Malkawi, M. I.; Hawarey, M. M.

2012-04-01

some delinquency on a particular topic, the online process of e-Learning would take the student at some more detailed and deeper level on the subject matter where he/she had failed; once the student bridges the gap, to this end, then the ongoing e-Learning process would carry him/her further up the next level of the subject matter he/she is pursuing. This process is carried on at all levels of learning: section, chapter, and course level. A student may not progress to the next course level before he/she would pass the entire course at 80% or more. If in the process of repeating some section, chapter, or a whole course, then the student shall be required to score a higher percentage than the mere 80% he was required to attain the first time around; say 5% more per iteration he/she makes. Here, students going through Iterative e-Learning shall be allowed to move on to the next level of learning sooner than others if the time that takes them to learn a particular topic is shorter than would normally require an average student to expend, provided, of course, they make it through all the required assessment phases. Unlike the traditional ways of classroom or online lecturing, a student going through Iterative e-Learning is expected to achieve a quality of learning never before achieved via standard pedagogical methodologies. With Iterative e-Learning, it is expected that poorly accredited academic institutions will be able, for the first time, to produce the quality of graduates who are more capable of competing for highly paying jobs globally, and to be of the quality of contributing in more industry-supported economies.

Improving the quality of learning in science through optimization of lesson study for learning community

Science.gov (United States)

Setyaningsih, S.

2018-03-01

Lesson Study for Learning Community is one of lecturer profession building system through collaborative and continuous learning study based on the principles of openness, collegiality, and mutual learning to build learning community in order to form professional learning community. To achieve the above, we need a strategy and learning method with specific subscription technique. This paper provides a description of how the quality of learning in the field of science can be improved by implementing strategies and methods accordingly, namely by applying lesson study for learning community optimally. Initially this research was focused on the study of instructional techniques. Learning method used is learning model Contextual teaching and Learning (CTL) and model of Problem Based Learning (PBL). The results showed that there was a significant increase in competence, attitudes, and psychomotor in the four study programs that were modelled. Therefore, it can be concluded that the implementation of learning strategies in Lesson study for Learning Community is needed to be used to improve the competence, attitude and psychomotor of science students.

A deep learning approach for predicting the quality of online health expert question-answering services.

Science.gov (United States)

Hu, Ze; Zhang, Zhan; Yang, Haiqin; Chen, Qing; Zuo, Decheng

2017-07-01

Recently, online health expert question-answering (HQA) services (systems) have attracted more and more health consumers to ask health-related questions everywhere at any time due to the convenience and effectiveness. However, the quality of answers in existing HQA systems varies in different situations. It is significant to provide effective tools to automatically determine the quality of the answers. Two main characteristics in HQA systems raise the difficulties of classification: (1) physicians' answers in an HQA system are usually written in short text, which yields the data sparsity issue; (2) HQA systems apply the quality control mechanism, which refrains the wisdom of crowd. The important information, such as the best answer and the number of users' votes, is missing. To tackle these issues, we prepare the first HQA research data set labeled by three medical experts in 90days and formulate the problem of predicting the quality of answers in the system as a classification task. We not only incorporate the standard textual feature of answers, but also introduce a set of unique non-textual features, i.e., the popular used surface linguistic features and the novel social features, from other modalities. A multimodal deep belief network (DBN)-based learning framework is then proposed to learn the high-level hidden semantic representations of answers from both textual features and non-textual features while the learned joint representation is fed into popular classifiers to determine the quality of answers. Finally, we conduct extensive experiments to demonstrate the effectiveness of including the non-textual features and the proposed multimodal deep learning framework. Copyright © 2017 Elsevier Inc. All rights reserved.

Quality, the Enhancement of a University's Teaching and Learning and the Role of Quality Officers

Science.gov (United States)

Hodgson, Kath; Whalley, Gordon

2006-01-01

There has been, and remains, much criticism of the external monitoring of the quality of universities' learning and teaching by bodies such as the QAA largely on the grounds that it is essentially a bureaucratic collection of data that does little, if anything, to help in improving or enhancing the learning and teaching. In this article, while…

Learning environment: the impact of clerkship location on instructional quality.

Science.gov (United States)

Prunuske, Jacob P; Deci, David M

2013-03-01

Students provide variable feedback on instructional quality at ambulatory training sites. We hypothesized several strengths and weaknesses of placing students at resident and non-resident training sites, including differences in faculty behaviors, patient characteristics, work environment, learning opportunities, and levels of student engagement. We systematically assessed for differences in learning quality between clerkship sites with and without residents. Students completed the MedED IQ, a validated survey assessing four domains of instructional quality, after completing a required primary care rotation. We calculated descriptive and summary statistics and two sample tests of proportion analyzing student agreement with each MedEd IQ item with respect to the presence or absence of resident learners. Of 149 total, 113 (75.8%) students completed the MedEd IQ site survey. A greater percentage of students at resident training sites (25.8%) than at non-resident sites (7.3%) agreed with the statement "The opportunities were too diverse, preventing me from developing proficiency." A greater percentage of students at resident training sites (19.4%) than at non-resident sites (1.2%) agreed with the statement "The health care team was not supportive of my learning." There were no differences between sites with or without residents on 14 items measuring preceptor actions or seven items measuring student involvement. Ambulatory clerkship sites with and without residents provide comparable quality learning experiences and precepting. Students placed at resident training sites may be overwhelmed with diverse opportunities and have a less supportive learning environment than students placed at non-resident sites. Future research should evaluate the impact of health care team development programs designed to foster a more supportive training environment for medical students. Ways of aligning residency and medical student education goals within the training setting should be

Conscious knowledge of learning: accessing learning strategies in a final year high school biology class

Science.gov (United States)

Conner, Lindsey; Gunstone, Richard

2004-12-01

This paper reports on a qualitative case study investigation of the knowledge and use of learning strategies by 16 students in a final year high school biology class to expand their conscious knowledge of learning. Students were provided with opportunities to engage in purposeful inquiry into the biological, social and ethical aspects of cancer. A constructivist approach was implemented to access prior content and procedural knowledge in various ways. Students were encouraged to develop evaluation of their learning skills independently through activities that promoted metacognition. Those students who planned and monitored their work produced essays of higher quality. The value and difficulties of promoting metacognitive approaches in this context are discussed, as well as the idea that metacognitive processes are difficult to research, because they have to be conscious in order to be identified by the learner, thereby making them accessible to the researcher.

From Quality Assurance to Quality Practices: An Investigation of Strong Microcultures in Teaching and Learning

Science.gov (United States)

Mårtensson, Katarina; Roxå, Torgny; Stensaker, Bjørn

2014-01-01

One of the main beliefs in quality assurance is that this activity--indirectly--will stimulate change in the work practices associated with teaching and learning in higher education. However, few studies have provided empirical evidence of the existence of such a link. Instead, quality assurance has created an unfortunate divide between formal…

Classroom quality and academic skills: Approaches to learning as a moderator.

Science.gov (United States)

Meng, Christine

2015-12-01

The purpose of this study was to examine whether approaches to learning moderated the association between child care classroom environment and Head Start children's academic skills. The data came from the Head Start Family and Child Experiences Survey (FACES-2003 Cohort). The dataset is a nationally representative longitudinal study of Head Start children. The sample was selected using the stratified 4-stage sampling procedure. Data was collected in fall 2003, spring 2004, spring 2005, and spring 2006 in the first year of kindergarten. Participants included 3- and 4-year-old Head Start children (n = 786; 387 boys, 399 girls; 119 Hispanic children, 280 African American children, 312 Caucasian children). Head Start children's academic skills in letter-word identification, dictation/spelling, and mathematics at the 4 time points were measured by the Woodcock-Johnson Achievement Battery tests. Approaches to learning in fall 2003 was measured by the teacher report of the Preschool Learning Behaviors Scale. Child care classroom quality in fall 2003 was measured by the revised Early Childhood Environment Rating Scale. Results of the linear mixed effects models demonstrated that approaches to learning significantly moderated the effect of child care classroom quality on Head Start children's writing and spelling. Specifically, positive approaches to learning mitigated the negative effect of lower levels of classroom quality on dictation/spelling. Results underscore the important role of approaches to learning as a protective factor. Implications for early childhood educators with an emphasis on learning goals for disengaged children are discussed. (c) 2015 APA, all rights reserved).

Integration study of high quality teaching resources in universities

Directory of Open Access Journals (Sweden)

Honglu Liu

2012-12-01

Full Text Available Purpose: The development level and quality of education depend on the merits and efficiency in the use of teaching resources, especially in the case of obvious contradiction between the demand and supply of teaching resources. So to integrate teaching resources, improve the efficiency in the use of high quality teaching resources, and take the road of content development to enhance the competitiveness of education has become very important and urgent.Design/methodology/approach: On the basis of analysis on the teaching resources of universities and the problems they faced, this paper introduced the basic concepts of cloud storage, and built the integration architecture of high quality teaching resources in universities based on the cloud storage.Findings and Originality/value: The HDFS-based cloud storage proposed in this paper is a dynamically adjustable and Internet-based storage solution, and the users can access storage targets using the network through a common and easy-to-use protocol and application programming interfaces. This new technology is useful for end users benefits. With the continuous development and improvement of cloud storage, it will necessarily result in more and more applications in the institutions of higher learning and education network.Originality/value: This paper introduced the cloud storage into the integration of high quality teaching resources in universities first and as a new form of service, it can be a good solution.

Evaluation of asynchronous E-learning in the geography curriculum: enriching learning quality in Saudi high schools

OpenAIRE

Al Dobaikhi, Hend; Woollard, John

2011-01-01

The impacts of emerging ICT into educational curricula Asynchronous discussion forumDiscussion groups via e-learning environmentPosting questions and commentsSelf-efficacy in asynchronous e-learning Web community participationCollaborative learning can be fosteredPositive impacts on objectives of educational curriculum

High school students' implicit theories of what facilitates science learning

Science.gov (United States)

Carlton Parsons, Eileen; Miles, Rhea; Petersen, Michael

2011-11-01

Background: Research has primarily concentrated on adults' implicit theories about high quality science education for all students. Little work has considered the students' perspective. This study investigated high school students' implicit theories about what helped them learn science. Purpose: This study addressed (1) What characterizes high school students' implicit theories of what facilitates their learning of science?; (2) With respect to students' self-classifications as African American or European American and female or male, do differences exist in the students' implicit theories? Sample, design and methods: Students in an urban high school located in south-eastern United States were surveyed in 2006 about their thoughts on what helps them learn science. To confirm or disconfirm any differences, data from two different samples were analyzed. Responses of 112 African American and 118 European American students and responses from 297 European American students comprised the data for sample one and two, respectively. Results: Seven categories emerged from the deductive and inductive analyses of data: personal responsibility, learning arrangements, interest and knowledge, communication, student mastery, environmental responsiveness, and instructional strategies. Instructional strategies captured 82% and 80% of the data from sample one and two, respectively; consequently, this category was further subjected to Mann-Whitney statistical analysis at p ethnic differences. Significant differences did not exist for ethnicity but differences between females and males in sample one and sample two emerged. Conclusions: African American and European American students' implicit theories about instructional strategies that facilitated their science learning did not significantly differ but female and male students' implicit theories about instructional strategies that helped them learn science significantly differed. Because students attend and respond to what they think

System Quality Characteristics for Selecting Mobile Learning Applications

Science.gov (United States)

Sarrab, Mohamed; Al-Shihi, Hafedh; Al-Manthari, Bader

2015-01-01

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…

Analysis of Relationship between Three Dimensions of Quality, User Satisfaction, and E-Learning Usage of Binus Online Learning

Directory of Open Access Journals (Sweden)

Yosep Yosep

2015-10-01

Full Text Available Information technology has  affected  various sectors including the education sector. In the sector, information technology has brought us long distance  education,  which  relies  heavily  on  the  use   of e-learning management system. In Indonesia, Bina Nusantara University is the first and foremost long distance  education  institution.  The  institution  has  been developing and using an e-learning management system for a number of years. This work intends to evaluate to which extent the system is able to enhance e-learning experiences. We adopted the DeLone and McLean’s Information System success model and empirically measured the relation between the aspects of system quality, information quality, service quality, user satisfaction, and net benefits. From a population of the size 311 students, we have collected 149 responses using questionnaires by randomly selecting the participating students. The responses were used to establish a multi-variate regression model where the relationships were established. The model suggested that information quality, system quality, and service quality had positive impacts on user satisfaction with the p-values of 0.014, 0.014, and 0.000 respectively. In addition, the study also found that user satisfaction was strongly and positively affected by the net  benefits.

Quality of Faculty Life and Lifelong Learning Tendencies of University Students

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Beytekin, Osman Ferda; Kadi, Aysegül

2014-01-01

The purpose of this study is to examine the university students' opinions about quality of faculty life and their lifelong learning tendencies. Research was conducted with 375 university students. According to the findings: the quality of faculty life of students differ according to gender. Male students have lower quality of faculty life than…

Consensus on Quality Indicators of Postgraduate Medical E-Learning: Delphi Study

Science.gov (United States)

Walsh, Kieran; Westerman, Michiel; Scheele, Fedde

2018-01-01

Background The progressive use of e-learning in postgraduate medical education calls for useful quality indicators. Many evaluation tools exist. However, these are diversely used and their empirical foundation is often lacking. Objective We aimed to identify an empirically founded set of quality indicators to set the bar for “good enough” e-learning. Methods We performed a Delphi procedure with a group of 13 international education experts and 10 experienced users of e-learning. The questionnaire started with 57 items. These items were the result of a previous literature review and focus group study performed with experts and users. Consensus was met when a rate of agreement of more than two-thirds was achieved. Results In the first round, the participants accepted 37 items of the 57 as important, reached no consensus on 20, and added 15 new items. In the second round, we added the comments from the first round to the items on which there was no consensus and added the 15 new items. After this round, a total of 72 items were addressed and, of these, 37 items were accepted and 34 were rejected due to lack of consensus. Conclusions This study produced a list of 37 items that can form the basis of an evaluation tool to evaluate postgraduate medical e-learning. This is, to our knowledge, the first time that quality indicators for postgraduate medical e-learning have been defined and validated. The next step is to create and validate an e-learning evaluation tool from these items. PMID:29699970

Quality Assurance in Distance Education and E-learning

International Development Research Centre (IDRC) Digital Library (Canada)

2017-12-13

Dec 13, 2017 ... SAGE India offers special discounts for purchase of books in bulk. We also make available ... Part 4: Assuring Quality of Learning Support and Assessment. 13. Malaysia's .... Customer Relationship Management, SIM University. CSM ... Korea Education and Research Information Service, S. Korea. KRIVET.

Students' Learning Environment and Education Quality in Faculty of Education of University of Tehran

Science.gov (United States)

Keshavarz, Mohsen; Vaziri, Seyed Ali; Jafari, Ahmad; Alizadeh, Hadi

2013-01-01

The main aim of this article is to review between students' learning environment and education quality. A non-experimental, quantitative, SPSS 17.0 research design was used to explore the relationship between background demographic characteristics, transformational, and transactional leadership styles, learning environment, and education quality.…

Assuring the Quality of Agricultural Learning Repositories: Issues for the Learning Object Metadata Creation Process of the CGIAR

Science.gov (United States)

Zschocke, Thomas; Beniest, Jan

The Consultative Group on International Agricultural Re- search (CGIAR) has established a digital repository to share its teaching and learning resources along with descriptive educational information based on the IEEE Learning Object Metadata (LOM) standard. As a critical component of any digital repository, quality metadata are critical not only to enable users to find more easily the resources they require, but also for the operation and interoperability of the repository itself. Studies show that repositories have difficulties in obtaining good quality metadata from their contributors, especially when this process involves many different stakeholders as is the case with the CGIAR as an international organization. To address this issue the CGIAR began investigating the Open ECBCheck as well as the ISO/IEC 19796-1 standard to establish quality protocols for its training. The paper highlights the implications and challenges posed by strengthening the metadata creation workflow for disseminating learning objects of the CGIAR.

Caring, learning, improving quality and doing research: Different ...

African Journals Online (AJOL)

The aim of this article is to describe the similarities between the consultation process, the quality improvement (QI) process, action- and problem-based learning and participatory action research (PAR). We feel this understanding adds value to our work in enabling personal development as practitioners, fostering teamwork ...

Quality in Preschool

DEFF Research Database (Denmark)

Næsby, Torben

The Danish Day Care Facilities Act, which provides the curriculum on which day care education is based, does not stipulate very clearly what children should learn and therefore how educational processes should be organized. This means that we must accept that there are large local differences in ...... in a Mixed Methods design. Quality assessment of learning environments: ERS -line (quantitative baseline) Children’s outcome, measured by LearnLab and observations of learning environments identifying high quality and inclusion (qualitative)...... and dialectically influence and are influenced by each other (Bronfenbrenner & Morris, 2006; Sheridan, 2009). The research project takes on a Critical Realistic approach, Building on the bio-ecological model; theory on development (proximal processes); an interactionist perspective on quality and inclusion...... in the quality of the learning environment and the impact on children’s well-being, learning and development. A pedagogical perspective on quality has to originate from research and documented evidence but must also inherit the children’s perspectives (Sommer et al, 2013). It has to be viewed interactively...

Forward-Oriented Designing for Learning as a Means to Achieve Educational Quality

Science.gov (United States)

Ghislandi, Patrizia M. M.; Raffaghelli, Juliana E.

2015-01-01

In this paper, we reflect on how Design for Learning can create the basis for a culture of educational quality. We explore the process of Design for Learning within a blended, undergraduate university course through a teacher-led inquiry approach, aiming at showing the connections between the process of Design for Learning and academic…

Building Quality into Learning Management Systems – An Architecture-Centric Approach

NARCIS (Netherlands)

Avgeriou, P.; Retalis, Simos; Skordalakis, Manolis

2003-01-01

The design and development of contemporary Learning Management Systems (LMS), is largely focused on satisfying functional requirements, rather than quality requirements, thus resulting in inefficient systems of poor software and business quality. In order to remedy this problem there is a research

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,…

Consensus on Quality Indicators of Postgraduate Medical E-Learning: Delphi Study.

Science.gov (United States)

de Leeuw, Robert Adrianus; Walsh, Kieran; Westerman, Michiel; Scheele, Fedde

2018-04-26

The progressive use of e-learning in postgraduate medical education calls for useful quality indicators. Many evaluation tools exist. However, these are diversely used and their empirical foundation is often lacking. We aimed to identify an empirically founded set of quality indicators to set the bar for “good enough” e-learning. We performed a Delphi procedure with a group of 13 international education experts and 10 experienced users of e-learning. The questionnaire started with 57 items. These items were the result of a previous literature review and focus group study performed with experts and users. Consensus was met when a rate of agreement of more than two-thirds was achieved. In the first round, the participants accepted 37 items of the 57 as important, reached no consensus on 20, and added 15 new items. In the second round, we added the comments from the first round to the items on which there was no consensus and added the 15 new items. After this round, a total of 72 items were addressed and, of these, 37 items were accepted and 34 were rejected due to lack of consensus. This study produced a list of 37 items that can form the basis of an evaluation tool to evaluate postgraduate medical e-learning. This is, to our knowledge, the first time that quality indicators for postgraduate medical e-learning have been defined and validated. The next step is to create and validate an e-learning evaluation tool from these items. ©Robert Adrianus de Leeuw, Kieran Walsh, Michiel Westerman, Fedde Scheele. Originally published in JMIR Medical Education (http://mededu.jmir.org), 26.04.2018.

Indoor Air Quality Analysis Using Deep Learning with Sensor Data

Directory of Open Access Journals (Sweden)

Jaehyun Ahn

2017-10-01

Full Text Available Indoor air quality analysis is of interest to understand the abnormal atmospheric phenomena and external factors that affect air quality. By recording and analyzing quality measurements, we are able to observe patterns in the measurements and predict the air quality of near future. We designed a microchip made out of sensors that is capable of periodically recording measurements, and proposed a model that estimates atmospheric changes using deep learning. In addition, we developed an efficient algorithm to determine the optimal observation period for accurate air quality prediction. Experimental results with real-world data demonstrate the feasibility of our approach.

Study on a pattern classification method of soil quality based on simplified learning sample dataset

Science.gov (United States)

Zhang, Jiahua; Liu, S.; Hu, Y.; Tian, Y.

2011-01-01

Based on the massive soil information in current soil quality grade evaluation, this paper constructed an intelligent classification approach of soil quality grade depending on classical sampling techniques and disordered multiclassification Logistic regression model. As a case study to determine the learning sample capacity under certain confidence level and estimation accuracy, and use c-means algorithm to automatically extract the simplified learning sample dataset from the cultivated soil quality grade evaluation database for the study area, Long chuan county in Guangdong province, a disordered Logistic classifier model was then built and the calculation analysis steps of soil quality grade intelligent classification were given. The result indicated that the soil quality grade can be effectively learned and predicted by the extracted simplified dataset through this method, which changed the traditional method for soil quality grade evaluation. ?? 2011 IEEE.

The Role of Interactional Quality in Learning from Touch Screens during Infancy: Context Matters

OpenAIRE

Zack, Elizabeth; Barr, Rachel

2016-01-01

Interactional quality has been shown to enhance learning during book reading and play, but has not been examined during touch screen use. Learning to apply knowledge from a touch screen is complex for infants because it involves transfer of learning between a 2-dimensional (2D) screen and 3-dimensional (3D) object in the physical world. This study uses a touch screen procedure to examine interactional quality measured via maternal structuring, diversity of maternal language, and dyadic emot...

EDUCATION REFORMS TOWARDS 21ST CENTURY SKILLS: TRANSFORMING STUDENTS' LEARNING EXPERIENCES THROUGH EFFECTIVE LEARNING ENVIRONMENTS

OpenAIRE

Harriet Wambui Njui

2018-01-01

This paper reviews literature on learning environments with a view to making recommendations on how teachers could create effective and high-quality learning environments that provide learners with transformative learning experiences as they go through the process of education. An effective learning environment is critical because quality education, which is essential to real learning and human development, is influenced by factors both inside and outside the classroom. Learning institutions ...

Effect of e-learning on quality of cervical-length measurements.

Science.gov (United States)

van Os, M A; van der Ven, A J; Bloemendaal, P M; Pajkrt, E; de Groot, C J M; Mol, B W J; Haak, M C

2015-09-01

To assess the effect of implementation of a newly developed e-learning module on the quality of cervical-length measurements. With the introduction of cervical-length (CL) measurement in a research setting, a CL measurement e-learning module (CLEM) was developed with the purpose to enhance the knowledge and skills of experienced ultrasonographers. CLEM was designed specifically for ultrasonographers who perform ultrasound in a general obstetrical practice but who do not regularly perform CL measurements. CLEM consists of five theoretical questions and three caliper-placement tests to learn the CL measurement technique. The quality of the CL measurements of CLEM participants was compared with images of non-participants using a CL measurement image score (CIS), defined as the sum of six items which assess the quality of the image. Each CLEM participant submitted five CL images and the images of non-CLEM participants were selected randomly from an ultrasound database. The CIS of the CLEM participants (n = 61) were significantly higher than those of non-CLEM participants (n = 23) (164.9 vs 155.6, respectively; P = 0.03). Visualization of the internal os and positioning of the calipers on the internal and external ora were found to have significantly higher CIS among the CLEM participants than among the non-CLEM participants (P = 0.001 and P < 0.001, respectively). Introducing CLEM may improve the quality of CL measurements obtained by trained and untrained sonographers. Copyright © 2014 ISUOG. Published by John Wiley & Sons Ltd.

Self–Evaluation of Distance Learning Study Program as a Part of Internal Quality Assurance

Directory of Open Access Journals (Sweden)

Radojka Krneta

2012-02-01

Full Text Available This paper features quality assurance of specific distance learning master study program through self-evaluation. This unique program involving e-learning as the program content, as well as delivery method, is presented in the paper from the aspects of its quality assurance. Student evaluation of this study program as a part of the internal quality assurance is performed at the end of every school year in the aim of its quality assurance. Results and conclusions of self-evaluation conducted in this school year by known SEVAQ+ evaluation tool are presented here.

Quality indicators for learner-centered postgraduate medical e-learning.

Science.gov (United States)

de Leeuw, Robert A; Westerman, Michiel; Scheele, Fedde

2017-04-27

The objectives of this study were to identify the needs and expectations of learners and educational experts in postgraduate medical e-learning, and to contribute to the current literature. We performed four focus-group discussions with e-learning end-users (learners) and didactic experts. The participants were postgraduate learners with varying levels of experience, educational experts from a Dutch e-learning task group, and commercial experts from a Dutch e-learning company. Verbatim transcribed interview recordings were analyzed using King's template analysis. The initial template was created with reference to recent literature on postgraduate medical e-learning quality indicators. The transcripts were coded, after which the emerging differences in template interpretation were discussed until a consensus was reached within the team. The final template consisted of three domains of positive e-learning influencers (motivators, learning enhancers, and real-world translation) and three domains of negatively influential parameters (barriers, learning discouragers, and poor preparation). The interpretation of the final template showed three subjects which form the basis of e-learning, namely, Motivate, Learn and Apply. This study forms a basis for learning in general and could be applied to many educational instruments. Individual characteristics should be adapted to the target audience. Three subjects form the basis of, and six themes cover all items needed for, good (enough) postgraduate e-learning. Further research should be carried out with learners and real-world e-learning to validate this template.

Learning leadership skills in practice through quality improvement.

Science.gov (United States)

Gamble, James; Vaux, Emma

2014-02-01

The development of leadership skills in doctors in training is essential to support both their professional development and the future supply of clinical leaders the NHS so desperately needs. There is, however, limited opportunity in current training programmes for trainees to learn and develop these skills, and what opportunity there is has often focused on management rather than leadership skills. Involvement in trainee-led supported quality improvement projects can teach these skills. We summarise the current limitations in leadership training and discuss how the College's 'Learning To Make a Difference' programme, and others like it, are helping to teach leadership.

Improving self-regulated learning junior high school students through computer-based learning

Science.gov (United States)

Nurjanah; Dahlan, J. A.

2018-05-01

This study is back grounded by the importance of self-regulated learning as an affective aspect that determines the success of students in learning mathematics. The purpose of this research is to see how the improvement of junior high school students' self-regulated learning through computer based learning is reviewed in whole and school level. This research used a quasi-experimental research method. This is because individual sample subjects are not randomly selected. The research design used is Pretest-and-Posttest Control Group Design. Subjects in this study were students of grade VIII junior high school in Bandung taken from high school (A) and middle school (B). The results of this study showed that the increase of the students' self-regulated learning who obtain learning with computer-based learning is higher than students who obtain conventional learning. School-level factors have a significant effect on increasing of the students' self-regulated learning.

Approaches to quality improvement in nursing homes: Lessons learned from the six-state pilot of CMS's Nursing Home Quality Initiative

Directory of Open Access Journals (Sweden)

Palmer Laura

2003-05-01

Full Text Available Abstract Background In November 2002, the Centers for Medicare & Medicaid Services (CMS launched a Nursing Home Quality Initiative that included publicly reporting a set of Quality Measures for all nursing homes in the country, and providing quality improvement assistance to nursing homes nationwide. A pilot of this initiative occurred in six states for six months prior to the launch. Methods Review and analysis of the lessons learned from the six Quality Improvement Organizations (QIOs that led quality improvement efforts in nursing homes from the six pilot states. Results QIOs in the six pilot states found several key outcomes of the Nursing Home Quality Initiative that help to maximize the potential of public reporting to leverage effective improvement in nursing home quality of care. First, public reporting focuses the attention of all stakeholders in the nursing home industry on achieving good quality outcomes on a defined set of measures, and creates an incentive for partnership formation. Second, publicly reported quality measures motivate nursing home providers to improve in certain key clinical areas, and in particular to seek out new ways of changing processes of care, such as engaging physicians and the medical director more directly. Third, the lessons learned by QIOs in the pilot of this Initiative indicate that certain approaches to providing quality improvement assistance are key to guiding nursing home providers' desire and enthusiasm to improve towards a using a systematic approach to quality improvement. Conclusion The Nursing Home Quality Initiative has already demonstrated the potential of public reporting to foster collaboration and coordination among nursing home stakeholders and to heighten interest of nursing homes in quality improvement techniques. The lessons learned from this pilot project have implications for any organizations or individuals planning quality improvement projects in the nursing home setting.

CRITERIA AND QUALITY INDICATORS OF INFORMATION AND COMMUNICATION TECHNOLOGIES OF LEARNING

Directory of Open Access Journals (Sweden)

Oleg M. Spirin

2013-03-01

Full Text Available In the article the concept of information and communication technology and information and communication technology of learning is specified. It is grounded an external and internal criteria of information and communication technologies of learning quality assessment based on experience of information and communication technology quality assessment of the methodical system of informatics teachers vocational training. There are considered the external indexes – design, structural, organizational, communicative and gnostic criteria, and internal – differentiation, individualization, intensification of teaching process and effectiveness of educational activity. There are presented the approaches to assess the indicators for determination of criteria demonstration degree.

Role of Service Learning in Water Quality Studies

Science.gov (United States)

Richards, Wilfred Sugumar

2009-01-01

Background: Chemistry students often complain that they are unmotivated because they see no applications of chemical principles in "real life." It was thus decided to put into use the knowledge gained during the course on water quality and analysis. Learning the principles of quantitative chemical analysis requires innovative, hands-on…

Automated Quality Assessment of Structural Magnetic Resonance Brain Images Based on a Supervised Machine Learning Algorithm

Directory of Open Access Journals (Sweden)

Ricardo Andres Pizarro

2016-12-01

Full Text Available High-resolution three-dimensional magnetic resonance imaging (3D-MRI is being increasingly used to delineate morphological changes underlying neuropsychiatric disorders. Unfortunately, artifacts frequently compromise the utility of 3D-MRI yielding irreproducible results, from both type I and type II errors. It is therefore critical to screen 3D-MRIs for artifacts before use. Currently, quality assessment involves slice-wise visual inspection of 3D-MRI volumes, a procedure that is both subjective and time consuming. Automating the quality rating of 3D-MRI could improve the efficiency and reproducibility of the procedure. The present study is one of the first efforts to apply a support vector machine (SVM algorithm in the quality assessment of structural brain images, using global and region of interest (ROI automated image quality features developed in-house. SVM is a supervised machine-learning algorithm that can predict the category of test datasets based on the knowledge acquired from a learning dataset. The performance (accuracy of the automated SVM approach was assessed, by comparing the SVM-predicted quality labels to investigator-determined quality labels. The accuracy for classifying 1457 3D-MRI volumes from our database using the SVM approach is around 80%. These results are promising and illustrate the possibility of using SVM as an automated quality assessment tool for 3D-MRI.

Automated Quality Assessment of Structural Magnetic Resonance Brain Images Based on a Supervised Machine Learning Algorithm.

Science.gov (United States)

Pizarro, Ricardo A; Cheng, Xi; Barnett, Alan; Lemaitre, Herve; Verchinski, Beth A; Goldman, Aaron L; Xiao, Ena; Luo, Qian; Berman, Karen F; Callicott, Joseph H; Weinberger, Daniel R; Mattay, Venkata S

2016-01-01

High-resolution three-dimensional magnetic resonance imaging (3D-MRI) is being increasingly used to delineate morphological changes underlying neuropsychiatric disorders. Unfortunately, artifacts frequently compromise the utility of 3D-MRI yielding irreproducible results, from both type I and type II errors. It is therefore critical to screen 3D-MRIs for artifacts before use. Currently, quality assessment involves slice-wise visual inspection of 3D-MRI volumes, a procedure that is both subjective and time consuming. Automating the quality rating of 3D-MRI could improve the efficiency and reproducibility of the procedure. The present study is one of the first efforts to apply a support vector machine (SVM) algorithm in the quality assessment of structural brain images, using global and region of interest (ROI) automated image quality features developed in-house. SVM is a supervised machine-learning algorithm that can predict the category of test datasets based on the knowledge acquired from a learning dataset. The performance (accuracy) of the automated SVM approach was assessed, by comparing the SVM-predicted quality labels to investigator-determined quality labels. The accuracy for classifying 1457 3D-MRI volumes from our database using the SVM approach is around 80%. These results are promising and illustrate the possibility of using SVM as an automated quality assessment tool for 3D-MRI.

What Is Quality Preschool? Fact Sheet

Science.gov (United States)

Advocates for Children of New Jersey, 2010

2010-01-01

Children need quality early learning programs. This can be a child care center, a preschool or a Head Start program. Not all early learning programs provide the high quality children need. This paper presents questions that should be considered when looking for an early learning program.

Individual Differences in Study Processes and the Quality of Learning Outcomes.

Science.gov (United States)

Biggs, John

1979-01-01

The relationship between students' study processes and the structural complexity of their learning is examined. Study processes are viewed in terms of three dimensions and are assessed by a questionnaire. Learning quality is expressed in levels of a taxonomy. A study that relates taxonomic levels and retention to study processes is reported.…

Educational Information Quantization for Improving Content Quality in Learning Management Systems

Science.gov (United States)

Rybanov, Alexander Aleksandrovich

2014-01-01

The article offers the educational information quantization method for improving content quality in Learning Management Systems. The paper considers questions concerning analysis of quality of quantized presentation of educational information, based on quantitative text parameters: average frequencies of parts of speech, used in the text; formal…

INDUSTRY PARTNERSHIPS LEARNING MODELS FOR SURVEYING AND MAPPING OF VOCATIONAL HIGH SCHOOLS

Directory of Open Access Journals (Sweden)

Sunar Rochmadi

2016-09-01

Full Text Available This study aims to identify a learning involving the world of work, to formulate the learning model, and to evaluate the learning model. This study used a qualitative approach for design and development research, consisting of the development and validation steps. The study concludes as follows. (1 the learning through partnerships having been conducted in all vocational high schools were industrial practice and vocational practice examination. (2 the constraints of learning through partnerships were mainly the far distance and the industry schedules that did not always match with the school’s. (3 the model development could be done by improving the learning quality by industrial practices in the private companies and with adding the learning model by industry visits, guest teaching, and up-to-date technology training. (4 the implementation of the developed model showed the feasibility and the effectiveness to prepare the students with the competencies required by the world of work. (5 the learning models through partnerships that could be practiced were guest teaching, orientation for industrial practice, industrial practices, students’ industry visits, up-to-date technology training, and vocational practice examination.

Student Engagement in the Scottish Quality Enhancement Framework

Science.gov (United States)

Gvaramadze, Irakli

2011-01-01

The research addressed the interplay of student engagement and quality enhancement mechanisms in the Scottish higher education system. The paper demonstrates increasing focus on student learning, learning experience and high-quality learning in the current quality enhancement approaches. The student-university coproduction model is used to…

THE EFFECT OF COOPERATIVE LEARNING ASSISTED WITH MODULE AND STUDENTS LEARNING MOTIVATION TOWARD THE STUDY RESULT ON STUDENTS SENIOR HIGH SCHOOL

Directory of Open Access Journals (Sweden)

Hotman Sitanggang

2014-12-01

Full Text Available The aim of this research is to improve learning quality of high school students in grade ten (X to the study material is about the vector. This research is a quasiexperimental study. Samples selection is random, using the control class from the adjacent class to avoid the large bias. The results of samples selection are the students of class X-H as the control class and the students of class X-I as the experimental class. The motivation variable was distinguished from the observations of student activities at the pre-study and at current research. Highly motivated students are the students who actively ask the questions and give answers to problems. While the low-motivated students are the students whose learning activities are the less. This research was designed using 2x2 factorial ANOVA, namely the effects of cooperative learning between learning without module and module-assisted learning on students’ learning results; and the effects of students’ learning motivation between highly motivated students and low motivated students. After given the treatment, those are: the same pre-test, cooperative learning without modules in control class, module-assisted cooperative learning in experimental class, the same post-test, questionnaires distribution, collection and tabulation of the data. The data were analyzed using qualitative-descriptive technique and percentage. The data analysis results using SPSS 17.0 conclude that: (1 There is a significant difference of study results in cooperative learning without module against module-assisted cooperative learning. (2 There is a significant difference of study results between highly motivated students and low motivated students. (3 There is a significant difference of study results between the group of cooperative learning and the group of student motivation at the significance value of = 0.05.

Assessment of the quality in e-learning processes: a proposal with new dimensions

Directory of Open Access Journals (Sweden)

João Paulo Vagarinho

2013-08-01

Full Text Available 0 0 1 74 413 USAL 3 1 486 14.0 Normal 0 21 false false false ES JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabla normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:Calibri; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-ansi-language:ES; mso-fareast-language:EN-US;} The globalization in education increased competitiveness among institutions of learning especially in higher education. The method for the differentiation of institutions is the quality factor. In e-learning quality we can find interesting discussions about the complexity of adopting a methodology. This article show the state of art quality oriented processes in e-learning and a proposal for new dimensions to be considered in assessing the quality of e-learning-oriented processes.

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.

Assessing the Learning Path Specification: a Pragmatic Quality Approach

NARCIS (Netherlands)

Janssen, José; Berlanga, Adriana; Heyenrath, Stef; Martens, Harrie; Vogten, Hubert; Finders, Anton; Herder, Eelco; Hermans, Henry; Melero, Javier; Schaeps, Leon; Koper, Rob

2010-01-01

Janssen, J., Berlanga, A. J., Heyenrath, S., Martens, H., Vogten, H., Finders, A., Herder, E., Hermans, H., Melero Gallardo, J., Schaeps, L., & Koper, R. (2010). Assessing the Learning Path Specification: a Pragmatic Quality Approach. Journal of Universal Computer Science, 16(21), 3191-3209.

Robustness and prediction accuracy of machine learning for objective visual quality assessment

OpenAIRE

HINES, ANDREW

2014-01-01

PUBLISHED Lisbon, Portugal Machine Learning (ML) is a powerful tool to support the development of objective visual quality assessment metrics, serving as a substitute model for the perceptual mechanisms acting in visual quality appreciation. Nevertheless, the reli- ability of ML-based techniques within objective quality as- sessment metrics is often questioned. In this study, the ro- bustness of ML in supporting objective quality assessment is investigated, specific...

TF.Learn: TensorFlow's High-level Module for Distributed Machine Learning

OpenAIRE

Tang, Yuan

2016-01-01

TF.Learn is a high-level Python module for distributed machine learning inside TensorFlow. It provides an easy-to-use Scikit-learn style interface to simplify the process of creating, configuring, training, evaluating, and experimenting a machine learning model. TF.Learn integrates a wide range of state-of-art machine learning algorithms built on top of TensorFlow's low level APIs for small to large-scale supervised and unsupervised problems. This module focuses on bringing machine learning t...

The effect of errorless learning on quality of life in patients with Korsakoff’s syndrome

Science.gov (United States)

Rensen, Yvonne CM; Egger, Jos IM; Westhoff, Josette; Walvoort, Serge JW; Kessels, Roy PC

2017-01-01

Background Errorless learning (EL) is a promising rehabilitation principle for (re)learning instrumental activities in patients with amnesia, including patients with Korsakoff’s syndrome (KS). Successfully (re)learning tasks might improve the sense of competence and independence, and subsequently the quality of life. Quality of life in patients with KS has received limited attention, and no studies have been conducted to experimentally examine the effect of EL on quality of life in patients in this patient group. Materials and methods The QUALIDEM, an observation scale for quality of life, was completed by professional nurses before and after EL training in a group of fifty-one patients with KS. This scale was also completed for a group of thirty-one control patients receiving care as usual but no EL training. Results Quality of life was significantly increased on eight of the nine subscales in the Korsakoff group who participated in an EL training. There was a trend toward a significant increase in “positive affect” (ie, the ninth subscale). In contrast, no changes over time were found on any of the subscales in the control group that did not participate in any EL training. Conclusion Despite severe memory impairments, patients with KS still have the potential to (partially) (re)learn tasks using EL. This potential should be exploited, as the successes of (re)-learning might improve the quality of life of Korsakoff patients in nursing homes. PMID:29225465

Teaching and learning in the international classroom: quality principles and lessons learned from the IntlUni project

DEFF Research Database (Denmark)

Lauridsen, Karen M.; Cozart, Stacey Marie

2015-01-01

, and expectations about the teaching and learning processes and outcomes. Certainly, many teachers in these settings are meeting the challenges of this diversity, and some are leveraging it to improve student learning and intercultural competence. Nevertheless, the work of IntlUni, an Erasmus Academic Network (2012......As higher education in Europe becomes increasingly internationalized, many higher education institutions are facing new diversity issues as well as opportunities arising from educational settings where students and teachers often have different first languages, cultural backgrounds...... of principles for quality teaching and learning in the international classroom, developed by the network, as well as a number of the important lessons learned...

The High Scope Approach To Early Learning

OpenAIRE

French, Geraldine

2012-01-01

Learning Objectives: After studying this chapter the reader should be able to: • Describe the historical origins, the longitudinal research, and the theoretical underpinnings of the HighScope approach. • Identify the teaching strategies adopted by HighScope educators. • Appreciate the curriculum content. • Understand the HighScope approach to the assessment of children’s learning. • Consider some criticisms of the HighScope research and approach to early learning. This ...

The effect of e-learning on the quality of orthodontic appliances.

Science.gov (United States)

Schorn-Borgmann, Stephanie; Lippold, Carsten; Wiechmann, Dirk; Stamm, Thomas

2015-01-01

The effect of e-learning on practical skills in medicine has not yet been thoroughly investigated. Today's multimedia learning environment and access to e-books provide students with more knowledge than ever before. The aim of this study is to evaluate the effect of online demonstrations concerning the quality of orthodontic appliances manufactured by undergraduate dental students. The study design was a parallel-group randomized clinical trial. Fifty-four participants were randomly assigned to one of the three groups: 1) conventional lectures, 2) conventional lectures plus written online material, and 3) access to resources of groups one and two plus access to online video material. Three orthodontic appliances (Schwarz Plate, U-Bow Activator, and Fränkel Regulator) were manufactured during the course and scored by two independent raters blinded to the participants. A 15-point scale index was used to evaluate the outcome quality of the appliances. In general, no significant differences were found between the groups. Concerning the appliances, the Schwarz Plate obtained the highest scores, whereas the Fränkel Regulator had the lowest scores; however, these results were independent of the groups. Females showed better outcome scores than males in groups two and three, but the difference was insignificant. Age of the participants also had no significant effect. The offer that students could use additional time and course-independent e-learning resources did not increase the outcome quality of the orthodontic appliances. The advantages of e-learning observed in the theoretical fields of medicine were not achieved in the educational procedures for manual skills. Factors other than e-learning may have a higher impact on manual skills, and this should be investigated in further studies.

Learning Evaluation: blending quality improvement and implementation research methods to study healthcare innovations.

Science.gov (United States)

Balasubramanian, Bijal A; Cohen, Deborah J; Davis, Melinda M; Gunn, Rose; Dickinson, L Miriam; Miller, William L; Crabtree, Benjamin F; Stange, Kurt C

2015-03-10

In healthcare change interventions, on-the-ground learning about the implementation process is often lost because of a primary focus on outcome improvements. This paper describes the Learning Evaluation, a methodological approach that blends quality improvement and implementation research methods to study healthcare innovations. Learning Evaluation is an approach to multi-organization assessment. Qualitative and quantitative data are collected to conduct real-time assessment of implementation processes while also assessing changes in context, facilitating quality improvement using run charts and audit and feedback, and generating transportable lessons. Five principles are the foundation of this approach: (1) gather data to describe changes made by healthcare organizations and how changes are implemented; (2) collect process and outcome data relevant to healthcare organizations and to the research team; (3) assess multi-level contextual factors that affect implementation, process, outcome, and transportability; (4) assist healthcare organizations in using data for continuous quality improvement; and (5) operationalize common measurement strategies to generate transportable results. Learning Evaluation principles are applied across organizations by the following: (1) establishing a detailed understanding of the baseline implementation plan; (2) identifying target populations and tracking relevant process measures; (3) collecting and analyzing real-time quantitative and qualitative data on important contextual factors; (4) synthesizing data and emerging findings and sharing with stakeholders on an ongoing basis; and (5) harmonizing and fostering learning from process and outcome data. Application to a multi-site program focused on primary care and behavioral health integration shows the feasibility and utility of Learning Evaluation for generating real-time insights into evolving implementation processes. Learning Evaluation generates systematic and rigorous cross

Quality of the Home Learning Environment during Preschool Age--Domains and Contextual Conditions

Science.gov (United States)

Kluczniok, Katharina; Lehrl, Simone; Kuger, Susanne; Rossbach, Hans-Guenther

2013-01-01

The quality of the home learning environment has been proven to be of major importance for child development, but little is known about the role of domain specificity in promoting early childhood learning at home and its dependence on family background. This article presents a framework of the home learning environment in early childhood that…

Relationships between the quality of blended learning experience, self-regulated learning, and academic achievement of medical students: a path analysis.

Science.gov (United States)

Kassab, Salah Eldin; Al-Shafei, Ahmad I; Salem, Abdel Halim; Otoom, Sameer

2015-01-01

This study examined the relationships between the different aspects of students' course experience, self-regulated learning, and academic achievement of medical students in a blended learning curriculum. Perceptions of medical students (n=171) from the Royal College of Surgeons in Ireland, Medical University of Bahrain (RCSI Bahrain), on the blended learning experience were measured using the Student Course Experience Questionnaire (SCEQ), with an added e-Learning scale. In addition, self-regulated learning was measured using the Motivated Strategies for Learning Questionnaire (MSLQ). Academic achievement was measured by the scores of the students at the end of the course. A path analysis was created to test the relationships between the different study variables. Path analysis indicated that the perceived quality of the face-to-face component of the blended experience directly affected the motivation of students. The SCEQ scale "quality of teaching" directly affected two aspects of motivation: control of learning and intrinsic goal orientation. Furthermore, appropriate course workload directly affected the self-efficacy of students. Moreover, the e-Learning scale directly affected students' peer learning and critical thinking but indirectly affected metacognitive regulation. The resource management regulation strategies, time and study environment, and effort regulation directly affected students' examination scores (17% of the variance explained). However, there were no significant direct relationships between the SCEQ scales and cognitive learning strategies or examination scores. The results of this study will have important implications for designing blended learning courses in medical schools.

Organizational learning and continuous quality improvement: examining the impact on nursing home performance.

Science.gov (United States)

Rondeau, Kent V; Wagar, Terry H

2002-01-01

Interest is growing in learning more about the ability of total quality management and continuous quality improvement (TQM/CQI) initiatives to contribute to the performance of healthcare organizations. A major factor in the successful implementation of TQM/CQI is the seminal contribution of an organization's culture. Many implementation efforts have not succeeded because of a corporate culture that failed to stress broader organizational learning. This may help to explain why some TQM/CQI programs have been unsuccessful in improving healthcare organization performance. Organizational performance variables and organizational learning orientation were assessed in a sample of 181 Canadian long-term care organizations that had implemented a formal TQM/CQI program. Categorical regression analysis shows that, in the absence of a strong corporAte culture that stresses organizational learning and employee development, few performance enhancements are reported. The results of the assessment suggest that a TQM/CQI program without the backing of a strong organizational learning culture may be insufficient to achieve augmented organizational performance.

QUALITY ASSURANCE IN RWANDAN HIGHER LEARNING EDUCATION: IS THE SYSTEM ADAPTIVE OR COMPLEX?

Directory of Open Access Journals (Sweden)

Nathan Kanuma Taremwa

2014-01-01

Full Text Available Developing knowledge infrastructure by massive investments in education and training are taken as a benchmark in facilitating the acceleration and possible increases in skills, capacities and competences of Rwandan people has become apriority issue in the recent years. This notion is relevant to vision 2020 where human resource development and building of a knowledge based economy are fundamental pillars. In the past years, several policy reforms have taken place in education sector. However, the overarching question is if such reforms are becoming adaptive or complex and if such reforms will not compromise the quality of education in higher learning education in Rwanda? The main objective of the study was to investigate the impact of changes in Higher Learning Institutions on the quality of education in Rwanda. This research had three hypotheses, namely; there is an impact of changes in Higher Learning Institutions on quality of education in Rwanda; the current complexity in Rwandan education system is affecting the quality of education in HLIs; Tailoring education system to the regional reforms and implementation strategies is affecting the quality of education in Rwanda. This study was carried out in 10 higher learning institutions (5 public, 5 private and 2 Ministry of Education directorates (HEC and REB. Key informants were the senior management/head of institutions, experienced academic staff, and students. The parameters considered included; the learning methods, assessment styles, workloads, language of instruction, merging of public HLIs, curriculum, and the transformation of some private higher learning institutions into company forms. Main research instruments were questionnaires and interview guides. Both qualitative and quantitative research was collected. Analyses were done using SPSS and excel packages. Major findings indicate that the system is still in transition with indicative gaps. Ample time would therefore be necessary for

Learning High-Order Filters for Efficient Blind Deconvolution of Document Photographs

KAUST Repository

Xiao, Lei

2016-09-16

Photographs of text documents taken by hand-held cameras can be easily degraded by camera motion during exposure. In this paper, we propose a new method for blind deconvolution of document images. Observing that document images are usually dominated by small-scale high-order structures, we propose to learn a multi-scale, interleaved cascade of shrinkage fields model, which contains a series of high-order filters to facilitate joint recovery of blur kernel and latent image. With extensive experiments, we show that our method produces high quality results and is highly efficient at the same time, making it a practical choice for deblurring high resolution text images captured by modern mobile devices. © Springer International Publishing AG 2016.

ROBUSTNESS AND PREDICTION ACCURACY OF MACHINE LEARNING FOR OBJECTIVE VISUAL QUALITY ASSESSMENT

OpenAIRE

Hines, Andrew; Kendrick, Paul; Barri, Adriaan; Narwaria, Manish; Redi, Judith A.

2014-01-01

Machine Learning (ML) is a powerful tool to support the development of objective visual quality assessment metrics, serving as a substitute model for the perceptual mechanisms acting in visual quality appreciation. Nevertheless, the reliability of ML-based techniques within objective quality assessment metrics is often questioned. In this study, the robustness of ML in supporting objective quality assessment is investigated, specifically when the feature set adopted for prediction is suboptim...

High quality voice synthesis middle ware; Kohinshitsu onsei gosei middle war

Energy Technology Data Exchange (ETDEWEB)

NONE

2000-03-01

Toshiba Corp. newly developed a natural voice synthesis system, TOS Drive TTS (TOtally speaker Driven Text-To-Speech) system, in which natural high-quality read-aloud is greatly improved, and also developed as its application a voice synthesis middle ware. In the newly developed system, using as a model a narrator's voice recorded preliminarily, a metrical control dictionary is automatically learned that reproduces the characteristics of metrical patters such as intonation or rhythm of a human voice, as is a voice bases dictionary that reproduces the characteristics of a voice quality, enabling natural voice synthesis to be realized that picks up human voice characteristics. The system is high quality and also very compact, while the voice synthesis middle ware utilizing this technology is adaptable to various platforms such as MPU or OS. The system is very suitable for audio response in the ITS field having car navigation systems as the core; besides, expanded application is expected to an audio response system that used to employ a sound recording and reproducing system. (translated by NEDO)

High-Quality Learning Environments for Engineering Design: Using Tablet PCs and Guidelines from Research on How People Learn

OpenAIRE

Enrique Palou; Lourdes Gazca; Juan Antonio Díaz García; José Andrés Rojas Lobato; Luis Geraldo Guerrero Ojeda; José Francisco Tamborero Arnal; María Teresa Jiménez Munguía; Aurelio López-Malo; Juan Manuel Garibay

2012-01-01

A team of several faculty members and graduate students at Universidad de las Amricas Puebla is improving engineering design teaching and learning by creating richer learning environments that promote an interactive classroom while integrating formative assessment into classroom practices by means of Tablet PCs and associated technologies. Learning environments that are knowledge-, learner-, community-, and assessment-centered as highlighted by the How People Learn framework, have been devel...

Building Quality into Learning Management Systems – An Architecture-Centric Approach

OpenAIRE

Avgeriou, P.; Retalis, Simos; Skordalakis, Manolis

2003-01-01

The design and development of contemporary Learning Management Systems (LMS), is largely focused on satisfying functional requirements, rather than quality requirements, thus resulting in inefficient systems of poor software and business quality. In order to remedy this problem there is a research trend into specifying and evaluating software architectures for LMS, since quality at-tributes in a system depend profoundly on its architecture. This paper presents a case study of appraising the s...

Evaluating the Quality of Competency Assessment in Pharmacy: A Framework for Workplace Learning

Directory of Open Access Journals (Sweden)

Shailly Shah

2016-01-01

Full Text Available Demonstration of achieved competencies is critical in the pharmacy workplace. The purpose of this study was to evaluate the quality of the competency assessment program for pharmacy residents at an academic medical center. The competency assessment program (CAP survey is a validated, 48-item instrument that evaluates the quality of an assessment program based on 12 criteria, each measured by four questions on a scale of 0 to 100. The CAP was completed by residents (n = 23 and preceptors (n = 28 from the pharmacy residency program between 2010 and 2013. Results were analyzed using descriptive statistics, Cronbach’s alpha, and non-parametric tests. Educational Consequences was the only quality criteria falling below the standard for “good quality.” Participants that completed residency training elsewhere rated the Comparability (0.04 and Meaningfulness (0.01 of the assessment program higher than those that completed residency at the academic medical center. There were no significant differences between resident and preceptor scores. Overall, the quality of the assessment program was rated highly by residents and preceptors. The process described here provides a useful framework for understanding the quality of workplace learning assessments in pharmacy practice.

Pre-registration nursing student's quality of practice learning: Clinical learning environment inventory (actual) questionnaire.

Science.gov (United States)

Shivers, Eleanor; Hasson, Felicity; Slater, Paul

2017-08-01

Clinical learning is a vital component of nurse education and assessing student's experiences can provide useful insights for development. Whilst most research in this area has focused on the acute setting little attention has been given to all pre-registration nurses' experience across the clinical placements arenas. To examine of pre-registration nursing students (first, second and third year) assessment of their actual experiences of their most recent clinical learning clinical learning experience. A cross sectional survey involving a descriptive online anonymous questionnaire based on the clinical learning environment inventory tool. One higher education institution in the United Kingdom. Nursing students (n=147) enrolled in an undergraduate nursing degree. This questionnaire included demographic questions and the Clinical Learning Environment Inventory (CLEI) a 42 item tool measuring student's satisfaction with clinical placement. SPPS version 22 was employed to analyse data with descriptive and inferential statistics. Overall students were satisfied with their clinical learning experience across all placement areas. This was linked to the 6 constructs of the clinical learning environment inventory; personalization, innovation, individualization, task orientation, involvement, satisfaction. Significant differences in student experience were noted between age groups and student year but there was no difference noted between placement type, age and gender. Nursing students had a positive perception of their clinical learning experience, although there remains room for improvement. Enabling a greater understanding of students' perspective on the quality of clinical education is important for nursing education and future research. Copyright © 2017. Published by Elsevier Ltd.

Clinical quality needs complex adaptive systems and machine learning.

Science.gov (United States)

Marsland, Stephen; Buchan, Iain

2004-01-01

The vast increase in clinical data has the potential to bring about large improvements in clinical quality and other aspects of healthcare delivery. However, such benefits do not come without cost. The analysis of such large datasets, particularly where the data may have to be merged from several sources and may be noisy and incomplete, is a challenging task. Furthermore, the introduction of clinical changes is a cyclical task, meaning that the processes under examination operate in an environment that is not static. We suggest that traditional methods of analysis are unsuitable for the task, and identify complexity theory and machine learning as areas that have the potential to facilitate the examination of clinical quality. By its nature the field of complex adaptive systems deals with environments that change because of the interactions that have occurred in the past. We draw parallels between health informatics and bioinformatics, which has already started to successfully use machine learning methods.

Improved Extreme Learning Machine and Its Application in Image Quality Assessment

Directory of Open Access Journals (Sweden)

Li Mao

2014-01-01

Full Text Available Extreme learning machine (ELM is a new class of single-hidden layer feedforward neural network (SLFN, which is simple in theory and fast in implementation. Zong et al. propose a weighted extreme learning machine for learning data with imbalanced class distribution, which maintains the advantages from original ELM. However, the current reported ELM and its improved version are only based on the empirical risk minimization principle, which may suffer from overfitting. To solve the overfitting troubles, in this paper, we incorporate the structural risk minimization principle into the (weighted ELM, and propose a modified (weighted extreme learning machine (M-ELM and M-WELM. Experimental results show that our proposed M-WELM outperforms the current reported extreme learning machine algorithm in image quality assessment.

A formative evaluation of a high school blended learning biology course

Science.gov (United States)

Nellman, Stephen William

As growing student populations continue to tax the resources of public high schools, administrators are constantly looking for ways to address the needs of all students. One option for increasing the number of students in a classroom without sacrificing quality of instruction is to use "blended learning". Blended learning is defined by Marsh et al. (2003, p.2) as a situation where "face-to-face and distance education delivery methods and resources are merged". In such a course, students receive the benefits of classroom-based instruction, while also benefiting from several aspects of distance learning. This is especially true for science courses that rely heavily on both hands-on labs and various multimedia. The purpose of this study was a formative evaluation of a high school blended learning biology course, focusing on a genetics unit. The research question addressed by the study was "Will participants increase their domain knowledge and problem-solving skills after instruction in a high school level blended distance learning biology course? Also investigated was if higher levels of self-regulation skills were correlated to higher levels of content-understanding and problem-solving. The study was composed of a pilot study and a main study. Participants were students in an urban Southern California public high school biology course. Classroom instruction was from a single instructor, and online content was managed using the "Moodle" course management system. Participants were assessed for their gains in genetics content-understanding, genetics problem-solving skills (Punnett squares), and self-regulation. Additionally, participant reactions to the blended instruction model were surveyed. Results indicated that significant increases (pself-regulation skills were not shown to be significantly correlated to increased content-understanding, or problem-solving skills. Participants reacted positively to the blended model, suggesting that it be used more often in their

A Phenomenographic Study of Students' Conceptions of Quality in Learning in Higher Education in Rwanda

Science.gov (United States)

Mbabazi Bamwesiga, Penelope; Fejes, Andreas; Dahlgren, Lars-Owe

2013-01-01

The aim of this study is to understand the different ways that university students conceptualise quality in learning by drawing on a phenomenographic approach. A total of 20 students in higher education in Rwanda were interviewed and analysis of the interviews generated an outcome space of conceptions of quality in learning as transformation,…

Leading the Quality Management of Online Learning Environments in Australian Higher Education

Science.gov (United States)

Holt, Dale; Palmer, Stuart; Munro, Judy; Solomonides, Ian; Gosper, Maree; Hicks, Margaret; Sankey, Michael; Allan, Garry; Hollenbeck, Robert

2013-01-01

The paper presents the findings of the first year of a nationally funded Australian Learning and Teaching Council (ALTC) project on the quality management of online learning environments by and through distributed leadership. The project is being undertaken by five Australian universities with major commitments to online and distance education.…

Leading High School Transformation for College and Career Success: A Guide for Developing a System of Linked Learning Pathways

Science.gov (United States)

Stearns, Roman

2014-01-01

This ConnectEd Guide for Developing a System of Linked Learning Pathways will introduce school district leaders and their community partners to Linked Learning and a system of quality pathways that can transform high schools, instructional practice, and the student experience. Not intended to be prescriptive, this document can and should be…

Civic Education and Deeper Learning. Deeper Learning Research Series

Science.gov (United States)

Levine, Peter; Kawashima-Ginsberg, Kei

2015-01-01

This report proposes that the turn toward deeper learning in education reform should go hand in hand with a renewed emphasis on high-quality civics education. Not only does deeper learning have great potential to promote civic outcomes and strengthen our democracy but, at the same time, civic education exemplifies deeper learning, in that it…

The effect of e-learning on the quality of orthodontic appliances

Directory of Open Access Journals (Sweden)

Schorn-Borgmann S

2015-08-01

Full Text Available Stephanie Schorn-Borgmann,1 Carsten Lippold,2 Dirk Wiechmann,3 Thomas Stamm2 1Private Practice, Nordkirchen, Germany; 2Department of Orthodontics, University of Münster, Münster, Germany; 3Department of Orthodontics, University of Hannover, Hannover, Germany Purpose: The effect of e-learning on practical skills in medicine has not yet been thoroughly investigated. Today’s multimedia learning environment and access to e-books provide students with more knowledge than ever before. The aim of this study is to evaluate the effect of online demonstrations concerning the quality of orthodontic appliances manufactured by undergraduate dental students. Materials and methods: The study design was a parallel-group randomized clinical trial. Fifty-four participants were randomly assigned to one of the three groups: 1 conventional lectures, 2 conventional lectures plus written online material, and 3 access to resources of groups one and two plus access to online video material. Three orthodontic appliances (Schwarz Plate, U-Bow Activator, and Fränkel Regulator were manufactured during the course and scored by two independent raters blinded to the participants. A 15-point scale index was used to evaluate the outcome quality of the appliances. Results: In general, no significant differences were found between the groups. Concerning the appliances, the Schwarz Plate obtained the highest scores, whereas the Fränkel Regulator had the lowest scores; however, these results were independent of the groups. Females showed better outcome scores than males in groups two and three, but the difference was insignificant. Age of the participants also had no significant effect. Conclusion: The offer that students could use additional time and course-independent e-learning resources did not increase the outcome quality of the orthodontic appliances. The advantages of e-learning observed in the theoretical fields of medicine were not achieved in the educational

Analysis of chemistry textbook content and national science education standards in terms of air quality-related learning goals

Science.gov (United States)

Naughton, Wendy

In this study's Phase One, representatives of nine municipal agencies involved in air quality education were interviewed and interview transcripts were analyzed for themes related to what citizens need to know or be able to do regarding air quality concerns. Based on these themes, eight air quality Learning Goal Sets were generated and validated via peer and member checks. In Phase Two, six college-level, liberal-arts chemistry textbooks and the National Science Education Standards (NSES) were analyzed for congruence with Phase One learning goals. Major categories of desired citizen understandings highlighted in agency interviews concerned air pollution sources, impact, detection, and transport. Identified cognitive skills focused on information-gathering and -evaluating skills, enabling informed decision-making. A content match was found between textbooks and air quality learning goals, but most textbooks fail to address learning goals that remediate citizen misconceptions and inabilities---particularly those with a "personal experience" focus. A partial match between NSES and air quality learning goals was attributed to differing foci: Researcher-derived learning goals deal specifically with air quality, while NSES focus is on "fundamental science concepts," not "many science topics." Analysis of findings within a situated cognition framework suggests implications for instruction and NSES revision.

Quality assurance of the Teaching – Learning Process in the Financial Economic Analysis

Directory of Open Access Journals (Sweden)

R.F. Creţu

2013-06-01

Full Text Available In the current context of economic development, human resources capable of long-life training and adaptable to economic change are essential elements of a model of growth based on competitiveness, efficiency and quality. In this paper we propose to identify strategies to improve the quality of the teaching learning process of Financial Economic Analysis in the Bucharest Academy of Economic Studies to the students in the first cycle of education - graduates cycle, the final year of study. Classroom observation is the qualitative method used to monitor the quality of the teaching learning process. As a complex process of instruments, classroom observation may take different forms and can play several roles.

Online Interaction Quality among Adult Learners: The Role of Sense of Belonging and Perceived Learning Benefits

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Diep, Nguyet A.; Cocquyt, Celine; Zhu, Chang; Vanwing, Tom

2017-01-01

The present study employs social cognitive theory (SCT) and social capital as the guiding frameworks to explain online interaction quality among learners in a blended learning program (N = 179). Capturing performance expectancy by perceived learning benefits and online interaction quality with nuanced cognitive measures, the study aims to validate…

Hunting and Gathering: New Imperatives in Mapping and Collecting Student Learning Data to Assure Quality Outcomes

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Lawson, Romy; Taylor, Tracy; French, Erica; Fallshaw, Eveline; Hall, Cathy; Kinash, Shelley; Summers, Jane

2015-01-01

Assurance of learning (AOL) is a quality enhancement and quality assurance process used in higher education. It involves a process of determining programme learning outcomes and standards, and systematically gathering evidence to measure students' performance on these. The systematic assessment of whole-of-programme outcomes provides a basis for…

Developing an Evaluation Framework of Quality Indicators for Learning Analytics

NARCIS (Netherlands)

Scheffel, Maren; Drachsler, Hendrik; Specht, Marcus

2017-01-01

This paper presents results from the continuous process of developing an evaluation framework of quality indicators for learning analytics (LA). Building on a previous study, a group concept mapping approach that uses multidimensional scaling and hierarchical clustering, the study presented here

The Method of High School English Word Learning

Institute of Scientific and Technical Information of China (English)

吴博涵

2016-01-01

Most Chinese students are not interested in English learning, especially English words. In this paper, I focus on English vocabulary learning, for example, the study of high school students English word learning method, and also introduce several ways to make vocabulary memory becomes more effective. The purpose is to make high school students grasp more English word learning skills.

Zerodur polishing process for high surface quality and high efficiency

International Nuclear Information System (INIS)

Tesar, A.; Fuchs, B.

1992-08-01

Zerodur is a glass-ceramic composite importance in applications where temperature instabilities influence optical and mechanical performance, such as in earthbound and spaceborne telescope mirror substrates. Polished Zerodur surfaces of high quality have been required for laser gyro mirrors. Polished surface quality of substrates affects performance of high reflection coatings. Thus, the interest in improving Zerodur polished surface quality has become more general. Beyond eliminating subsurface damage, high quality surfaces are produced by reducing the amount of hydrated material redeposited on the surface during polishing. With the proper control of polishing parameters, such surfaces exhibit roughnesses of < l Angstrom rms. Zerodur polishing was studied to recommend a high surface quality polishing process which could be easily adapted to standard planetary continuous polishing machines and spindles. This summary contains information on a polishing process developed at LLNL which reproducibly provides high quality polished Zerodur surfaces at very high polishing efficiencies

Evaluating the Quality of Veterinary Students' Experiences of Learning in Clinics.

Science.gov (United States)

Matthew, Susan M; Ellis, Robert A; Taylor, Rosanne M

Educators seeking to evaluate the quality of students' experiences of clinic-based learning (CBL) face a challenging task. CBL programs provide multiple opportunities for learning and aim to develop a wide range of skills, knowledge, and capacities. While direct observation of learners provides important information about students' proficiency in performing various clinical tasks, more comprehensive measures are required to unpack and identify factors relating to practice readiness as a whole. This study identified variables that have a logical and statistically significant association with learning outcomes across the broad range of attributes expected of new graduate veterinarians. The research revealed that the extent of final-year veterinary students' practice readiness, as assessed by placement supervisors against criteria relevant to new graduate practice, is related to the quality of their conceptions of and approaches to CBL. Students' conceptions of and approaches to CBL were evaluated using quantitative survey instruments, with a 93% response rate (N=100) obtained for the two questionnaires. Descriptive and exploratory statistics were used to link qualitative differences in students' conceptions of and approaches to CBL with performance against criteria relevant to new graduate practice. Students who reported poorer-quality conceptions of and approaches to CBL (n=38) attained lower levels of achievement than students who reported better-quality conceptions of and approaches to CBL (n=55). Evaluation of students' conceptions of and approaches to CBL can be used by educators seeking to evaluate and improve the extent to which CBL programs are achieving their desired goals.

[Quality management is associated with high quality services in health care].

Science.gov (United States)

Nielsen, Tenna Hassert; Riis, Allan; Mainz, Jan; Jensen, Anne-Louise Degn

2013-12-09

In these years, quality management has been the focus in order to meet high quality services for the patients in Danish health care. This article provides information on quality management and quality improvement and it evaluates its effectiveness in achieving better organizational structures, processes and results in Danish health-care organizations. Our findings generally support that quality management is associated with high quality services in health care.

Professional Learning as a Predictor for Instructional Quality: A Secondary Analysis of TALIS

Science.gov (United States)

Dogan, Selçuk; Yurtseven, Nihal

2018-01-01

The purpose of this study is to examine the effect of teachers' professional learning opportunities on instructional quality, which represents a combined approach of behaviorist, cognitivist, and constructivist principles in teaching. We incorporated professional learning communities (PLCs), professional development (PD) days, as well as 3 PD…

Instruments evaluating the quality of the clinical learning environment in nursing education: A systematic review of psychometric properties.

Science.gov (United States)

Mansutti, Irene; Saiani, Luisa; Grassetti, Luca; Palese, Alvisa

2017-03-01

The clinical learning environment is fundamental to nursing education paths, capable of affecting learning processes and outcomes. Several instruments have been developed in nursing education, aimed at evaluating the quality of the clinical learning environments; however, no systematic review of the psychometric properties and methodological quality of these studies has been performed to date. The aims of the study were: 1) to identify validated instruments evaluating the clinical learning environments in nursing education; 2) to evaluate critically the methodological quality of the psychometric property estimation used; and 3) to compare psychometric properties across the instruments available. A systematic review of the literature (using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines) and an evaluation of the methodological quality of psychometric properties (using the COnsensus-based Standards for the selection of health Measurement INstruments guidelines). The Medline and CINAHL databases were searched. Eligible studies were those that satisfied the following criteria: a) validation studies of instruments evaluating the quality of clinical learning environments; b) in nursing education; c) published in English or Italian; d) before April 2016. The included studies were evaluated for the methodological quality of the psychometric properties measured and then compared in terms of both the psychometric properties and the methodological quality of the processes used. The search strategy yielded a total of 26 studies and eight clinical learning environment evaluation instruments. A variety of psychometric properties have been estimated for each instrument, with differing qualities in the methodology used. Concept and construct validity were poorly assessed in terms of their significance and rarely judged by the target population (nursing students). Some properties were rarely considered (e.g., reliability, measurement error

Motivational Gaps and Perceptual Bias of Initial Motivation Additional Indicators of Quality for e-Learning Courses

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Cação, Rosário

2017-01-01

We describe a study on the motivation of trainees in e-learning-based professional training and on the effect of their motivation upon the perceptions they build about the quality of the courses. We propose the concepts of "perceived motivational gap" and "real motivational gap" as indicators of e-learning quality, which…

Approaches to quality improvement in nursing homes: Lessons learned from the six-state pilot of CMS's Nursing Home Quality Initiative

OpenAIRE

Kissam, Stephanie; Gifford, David; Parks, Peggy; Patry, Gail; Palmer, Laura; Wilkes, Linda; Fitzgerald, Matthew; Petrulis, Alice Stollenwerk; Barnette, Leslie

2003-01-01

Abstract Background In November 2002, the Centers for Medicare & Medicaid Services (CMS) launched a Nursing Home Quality Initiative that included publicly reporting a set of Quality Measures for all nursing homes in the country, and providing quality improvement assistance to nursing homes nationwide. A pilot of this initiative occurred in six states for six months prior to the launch. Methods Review and analysis of the lessons learned from the six Quality Improvement Organizations (QIOs) tha...

Quality through E-Learning and Quality for E-Learning

OpenAIRE

Vatuiu Teodora; Udrica Mioara; Negrutiu Magdalena

2013-01-01

E-learning is a term frequently debated in the lasts years, especially in the academic environment. Computer technology has profoundly transformed society, research and education. It provides support for the development of an educational system continuously adapted to society’s demands and advances in knowledge acquisition. Students can learn, evaluate and communicate their own results in formal or informal settings, universities and other public institutions take part in the development of i...

Alignment of an interprofessional student learning experience with a hospital quality improvement initiative.

Science.gov (United States)

Fowler, Terri O; Wise, Holly H; Mauldin, Mary P; Ragucci, Kelly R; Scheurer, Danielle B; Su, Zemin; Mauldin, Patrick D; Bailey, Jennifer R; Borckardt, Jeffrey J

2018-04-11

Assessment of interprofessional education (IPE) frequently focuses on students' learning outcomes including changes in knowledge, skills, and/or attitudes. While a foundational education in the values and information of their chosen profession is critical, interprofessional learning follows a continuum from formal education to practice. The continuum increases in significance and complexity as learning becomes more relationship based and dependent upon the ability to navigate complex interactions with patients, families, communities, co-workers, and others. Integrating IPE into collaborative practice is critical to enhancing students' experiential learning, developing teamwork competencies, and understanding the complexity of teams. This article describes a project that linked students with a hospital-based quality-improvement effort to focus on the acquisition and practice of teamwork skills and to determine the impact of teamwork on patient and quality outcome measures. A hospital unit was identified with an opportunity for improvement related to quality care, patient satisfaction, employee engagement, and team behaviours. One hundred and thirty-seven students from six health profession colleges at the Medical University of South Carolina underwent TeamSTEPPS® training and demonstrated proficiency of their teamwork-rating skills with the TeamSTEPPS® Team Performance Observation Tool (T-TPO). Students observed real-time team behaviours of unit staff before and after staff attended formal TeamSTEPPS® training. The students collected a total of 778 observations using the T-TPO. Teamwork performance on the unit improved significantly across all T-TPO domains (team structure, communication, leadership, situation monitoring, and mutual support). Significant improvement in each domain continued post-intervention and at 15-month follow-up, improvement remained significant compared to baseline. Student engagement in TeamSTEPPS® training and demonstration of their

Learning to Appraise the Quality of Qualitative Research Articles: A Contextualized Learning Object for Constructing Knowledge

Science.gov (United States)

Chenail, Ronald J.

2011-01-01

Helping beginning qualitative researchers critically appraise qualitative research articles is a common learning objective for introductory methodology courses. To aid students in achieving competency in appraising the quality of qualitative research articles, a multi-part activity incorporating the Critical Appraisal Skills Programme's (CASP)…

Machine Learning and Deep Learning Models to Predict Runoff Water Quantity and Quality

Science.gov (United States)

Bradford, S. A.; Liang, J.; Li, W.; Murata, T.; Simunek, J.

2017-12-01

Contaminants can be rapidly transported at the soil surface by runoff to surface water bodies. Physically-based models, which are based on the mathematical description of main hydrological processes, are key tools for predicting surface water impairment. Along with physically-based models, data-driven models are becoming increasingly popular for describing the behavior of hydrological and water resources systems since these models can be used to complement or even replace physically based-models. In this presentation we propose a new data-driven model as an alternative to a physically-based overland flow and transport model. First, we have developed a physically-based numerical model to simulate overland flow and contaminant transport (the HYDRUS-1D overland flow module). A large number of numerical simulations were carried out to develop a database containing information about the impact of various input parameters (weather patterns, surface topography, vegetation, soil conditions, contaminants, and best management practices) on runoff water quantity and quality outputs. This database was used to train data-driven models. Three different methods (Neural Networks, Support Vector Machines, and Recurrence Neural Networks) were explored to prepare input- output functional relations. Results demonstrate the ability and limitations of machine learning and deep learning models to predict runoff water quantity and quality.

Considering High School Students' Experience in Asynchronous and Synchronous Distance Learning Environments: QoE Prediction Model

Science.gov (United States)

Malinovski, Toni; Vasileva, Marina; Vasileva-Stojanovska, Tatjana; Trajkovik, Vladimir

2014-01-01

Early identification of relevant factors that influence students' experiences is vitally important to the educational process since they play an important role in learning outcomes. The purpose of this study is to determine underlying constructs that predict high school students' subjective experience and quality expectations during asynchronous…

Academic Progress Depending on the Skills and Qualities of Learning in Students of a Business School

Science.gov (United States)

de Jesús, Araiza Vázquez María; Claudia, Dörfer; Rosalinda, Castillo Corpus

2015-01-01

This research was to establish the relationship between qualities of learning; learning skills and academic performance in undergraduate students. 310 undergraduates participated in this research of which 72% are female and 28% male. All responded Scale Learning Strategies of Roman and Gallego (1994) and Questionnaire Learning Styles of…

Reshimming of Tevatron dipoles: A Process-quality and lessons-learned perspective

International Nuclear Information System (INIS)

Blowers, J.N.; Carson, J.A.; Hanft, R.W.; Harding, D.J.; Robotham, R.W.

2005-01-01

Over the last two years corrections have been made for the skew quadrupole moment in 530 of the 774 installed dipoles in the Tevatron. This process of modifying the magnets in situ has inherent risk of degrading the performance of the superconducting accelerator. In order to manage the risk, as well as to ensure the corrections were done consistently, formal quality tools were used to plan and verify the work. The quality tools used to define the process and for quality control are discussed, along with highlights of lessons learned

Reshimming of Tevatron Dipoles; A Process-Quality and Lessons-Learned Perspective

CERN Document Server

Blowers, James N; Harding, David J; John, Carson; Robotham, William

2005-01-01

Over the last two years corrections have been made for the skew quadrupole moment in 530 of the 774 installed dipoles in the Tevatron. This process of modifying the magnets in situ has inherent risk of degrading the performance of the superconducting accelerator. In order to manage the risk, as well as to ensure the corrections were done consistently, formal quality tools were used to plan and verify the work. The quality tools used to define the process and for quality control are discussed, along with highlights of lessons learned.

Statistical learning in high energy and astrophysics

International Nuclear Information System (INIS)

Zimmermann, J.

2005-01-01

This thesis studies the performance of statistical learning methods in high energy and astrophysics where they have become a standard tool in physics analysis. They are used to perform complex classification or regression by intelligent pattern recognition. This kind of artificial intelligence is achieved by the principle ''learning from examples'': The examples describe the relationship between detector events and their classification. The application of statistical learning methods is either motivated by the lack of knowledge about this relationship or by tight time restrictions. In the first case learning from examples is the only possibility since no theory is available which would allow to build an algorithm in the classical way. In the second case a classical algorithm exists but is too slow to cope with the time restrictions. It is therefore replaced by a pattern recognition machine which implements a fast statistical learning method. But even in applications where some kind of classical algorithm had done a good job, statistical learning methods convinced by their remarkable performance. This thesis gives an introduction to statistical learning methods and how they are applied correctly in physics analysis. Their flexibility and high performance will be discussed by showing intriguing results from high energy and astrophysics. These include the development of highly efficient triggers, powerful purification of event samples and exact reconstruction of hidden event parameters. The presented studies also show typical problems in the application of statistical learning methods. They should be only second choice in all cases where an algorithm based on prior knowledge exists. Some examples in physics analyses are found where these methods are not used in the right way leading either to wrong predictions or bad performance. Physicists also often hesitate to profit from these methods because they fear that statistical learning methods cannot be controlled in a

Statistical learning in high energy and astrophysics

Energy Technology Data Exchange (ETDEWEB)

Zimmermann, J.

2005-06-16

This thesis studies the performance of statistical learning methods in high energy and astrophysics where they have become a standard tool in physics analysis. They are used to perform complex classification or regression by intelligent pattern recognition. This kind of artificial intelligence is achieved by the principle ''learning from examples'': The examples describe the relationship between detector events and their classification. The application of statistical learning methods is either motivated by the lack of knowledge about this relationship or by tight time restrictions. In the first case learning from examples is the only possibility since no theory is available which would allow to build an algorithm in the classical way. In the second case a classical algorithm exists but is too slow to cope with the time restrictions. It is therefore replaced by a pattern recognition machine which implements a fast statistical learning method. But even in applications where some kind of classical algorithm had done a good job, statistical learning methods convinced by their remarkable performance. This thesis gives an introduction to statistical learning methods and how they are applied correctly in physics analysis. Their flexibility and high performance will be discussed by showing intriguing results from high energy and astrophysics. These include the development of highly efficient triggers, powerful purification of event samples and exact reconstruction of hidden event parameters. The presented studies also show typical problems in the application of statistical learning methods. They should be only second choice in all cases where an algorithm based on prior knowledge exists. Some examples in physics analyses are found where these methods are not used in the right way leading either to wrong predictions or bad performance. Physicists also often hesitate to profit from these methods because they fear that statistical learning methods cannot

Co-Creating Quality in Health Care Through Learning and Dissemination.

Science.gov (United States)

Holmboe, Eric S; Foster, Tina C; Ogrinc, Greg

2016-01-01

For most of the 20th century the predominant focus of medical education across the professional continuum was the dissemination and acquisition of medical knowledge and procedural skills. Today it is now clear that new areas of focus, such as interprofessional teamwork, care coordination, quality improvement, system science, health information technology, patient safety, assessment of clinical practice, and effective use of clinical decision supports are essential to 21st century medical practice. These areas of need helped to spawn an intense interest in competency-based models of professional education at the turn of this century. However, many of today's practicing health professionals were never educated in these newer competencies during their own training. Co-production and co-creation of learning among interprofessional health care professionals across the continuum can help close the gap in acquiring needed competencies for health care today and tomorrow. Co-learning may be a particularly effective strategy to help organizations achieve the triple aim of better population health, better health care, and lower costs. Structured frameworks, such as the Standards for Quality Improvement Reporting Excellence (SQUIRE) guidelines, provide guidance in the design, planning, and dissemination of interventions designed to improve care through co-production and co-learning strategies.

Manifold learning to interpret JET high-dimensional operational space

International Nuclear Information System (INIS)

Cannas, B; Fanni, A; Pau, A; Sias, G; Murari, A

2013-01-01

In this paper, the problem of visualization and exploration of JET high-dimensional operational space is considered. The data come from plasma discharges selected from JET campaigns from C15 (year 2005) up to C27 (year 2009). The aim is to learn the possible manifold structure embedded in the data and to create some representations of the plasma parameters on low-dimensional maps, which are understandable and which preserve the essential properties owned by the original data. A crucial issue for the design of such mappings is the quality of the dataset. This paper reports the details of the criteria used to properly select suitable signals downloaded from JET databases in order to obtain a dataset of reliable observations. Moreover, a statistical analysis is performed to recognize the presence of outliers. Finally data reduction, based on clustering methods, is performed to select a limited and representative number of samples for the operational space mapping. The high-dimensional operational space of JET is mapped using a widely used manifold learning method, the self-organizing maps. The results are compared with other data visualization methods. The obtained maps can be used to identify characteristic regions of the plasma scenario, allowing to discriminate between regions with high risk of disruption and those with low risk of disruption. (paper)

Pedagogical Content Knowledge of Argumentation: Using Classroom Contexts to Assess High-Quality PCK Rather than Pseudoargumentation

Science.gov (United States)

McNeill, Katherine L.; González-Howard, María; Katsh-Singer, Rebecca; Loper, Suzanna

2016-01-01

Despite the recent emphasis on science practices, little work has focused on teachers' knowledge of these key learning goals. The development of high quality assessments for teachers' pedagogical content knowledge (PCK) of science practices, such as argumentation, is important to better assess the needs of teachers and to develop supportive…

Interactional Resources for Quality Improvement: Learning From Participants Through a Qualitative Study.

Science.gov (United States)

Brooks, Joanna Veazey; Gorbenko, Ksenia; Bosk, Charles

Implementing quality improvement in hospitals requires a multifaceted commitment from leaders, including financial, material, and personnel resources. However, little is known about the interactional resources needed for project implementation. The aim of this analysis was to identify the types of interactional support hospital teams sought in a surgical quality improvement project. Hospital site visits were conducted using a combination of observations, interviews, and focus groups to explore the implementation of a surgical quality improvement project. Twenty-six site visits were conducted between October 2012 and August 2014 at a total of 16 hospitals that agreed to participate. All interviews were recorded, transcribed, and coded for themes using inductive analysis. We interviewed 321 respondents and conducted an additional 28 focus groups. Respondents reported needing the following types of interactional support during implementation of quality improvement interventions: (1) a critical outside perspective on their implementation progress; (2) opportunities to learn from peers, especially around clinical innovations; and (3) external validation to help establish visibility for and commitment to the project. Quality improvement in hospitals is both a clinical endeavor and a social endeavor. Our findings show that teams often desire interactional resources as they implement quality improvement initiatives. In-person site visits can provide these resources while also activating emotional energy for teams, which builds momentum and sustainability for quality improvement work. Policymakers and quality improvement leaders will benefit from developing strategies to maximize interactional learning and feedback for quality improvement teams. Further research should investigate the most effective methods for meeting these needs.

Deep supervised dictionary learning for no-reference image quality assessment

Science.gov (United States)

Huang, Yuge; Liu, Xuesong; Tian, Xiang; Zhou, Fan; Chen, Yaowu; Jiang, Rongxin

2018-03-01

We propose a deep convolutional neural network (CNN) for general no-reference image quality assessment (NR-IQA), i.e., accurate prediction of image quality without a reference image. The proposed model consists of three components such as a local feature extractor that is a fully CNN, an encoding module with an inherent dictionary that aggregates local features to output a fixed-length global quality-aware image representation, and a regression module that maps the representation to an image quality score. Our model can be trained in an end-to-end manner, and all of the parameters, including the weights of the convolutional layers, the dictionary, and the regression weights, are simultaneously learned from the loss function. In addition, the model can predict quality scores for input images of arbitrary sizes in a single step. We tested our method on commonly used image quality databases and showed that its performance is comparable with that of state-of-the-art general-purpose NR-IQA algorithms.

APPROACHES AND TOOLS FOR QUALITY EXAMINATION OF E-LEARNING TOOLS

Directory of Open Access Journals (Sweden)

Galina P. Lavrentieva

2011-02-01

Full Text Available The article highlights the scientific and methodological approaches to quality examination of e-learning tools for general education. There are considered terms of the research, described the essence of the main components and stages of the examination. A methodology for quality estimation tools elaboration is described that should be based on identifying criteria and parameters of evaluation. Complex of psycho-pedagogical and ergonomic requirements that should be used in organizing expertise is justified and the most expedient ways of their implementation are examined.

Improvement of Learning Process and Learning Outcomes in Physics Learning by Using Collaborative Learning Model of Group Investigation at High School (Grade X, SMAN 14 Jakarta)

Science.gov (United States)

Astra, I. Made; Wahyuni, Citra; Nasbey, Hadi

2015-01-01

The aim of this research is to improve the quality of physics learning through application of collaborative learning of group investigation at grade X MIPA 2 SMAN 14 Jakarta. The method used in this research is classroom action research. This research consisted of three cycles was conducted from April to May in 2014. Each cycle consists of…

When high achievers and low achievers work in the same group: the roles of group heterogeneity and processes in project-based learning.

Science.gov (United States)

Cheng, Rebecca Wing-yi; Lam, Shui-fong; Chan, Joanne Chung-yan

2008-06-01

There has been an ongoing debate about the inconsistent effects of heterogeneous ability grouping on students in small group work such as project-based learning. The present research investigated the roles of group heterogeneity and processes in project-based learning. At the student level, we examined the interaction effect between students' within-group achievement and group processes on their self- and collective efficacy. At the group level, we examined how group heterogeneity was associated with the average self- and collective efficacy reported by the groups. The participants were 1,921 Hong Kong secondary students in 367 project-based learning groups. Student achievement was determined by school examination marks. Group processes, self-efficacy and collective efficacy were measured by a student-report questionnaire. Hierarchical linear modelling was used to analyse the nested data. When individual students in each group were taken as the unit of analysis, results indicated an interaction effect of group processes and students' within-group achievement on the discrepancy between collective- and self-efficacy. When compared with low achievers, high achievers reported lower collective efficacy than self-efficacy when group processes were of low quality. However, both low and high achievers reported higher collective efficacy than self-efficacy when group processes were of high quality. With 367 groups taken as the unit of analysis, the results showed that group heterogeneity, group gender composition and group size were not related to the discrepancy between collective- and self-efficacy reported by the students. Group heterogeneity was not a determinant factor in students' learning efficacy. Instead, the quality of group processes played a pivotal role because both high and low achievers were able to benefit when group processes were of high quality.

Online Support Service Quality, Online Learning Acceptance, and Student Satisfaction

Science.gov (United States)

Lee, Jung-Wan

2010-01-01

This paper examines potential differences between Korean and American students in terms of their perception levels regarding online education support service quality, online learning acceptance, and satisfaction. Eight hundred and seventy-two samples, which were collected from students in online classes in the United States and Korea, were…

Students' Perception on the Quality of Open and Distance Learning ...

African Journals Online (AJOL)

This study aimed at assessing the quality of open and distance learning programmes from students‟ point of view. The sample was drawn from the Open University of Tanzania‟s students in nine University regional centres from Tanzania mainland and it constituted 305 students. Both qualitative and quantitative methods ...

They do, They Get and They Know; How to Motivate Learner to Upgrade Their Learning Quality

Science.gov (United States)

Yogica, R.; Helendra, H.

2018-04-01

A learning process that occurs in the classroom is a very important thing to note the quality, so it can be a determinant of student success in understanding the content of the lesson. The success of the learning process could be seen from the learning outcomes and the level of positive activities of students while in class. Students who are active in the classroom at the time of learning happen mean interest to the content of the lesson and will make their understanding deeper. In some learning processes in the classroom, the authors observed that in the first weeks of learning the level of student activity was very low. This is due to low student learning motivation. The author applies a method named: they do, they get, and they know. This method is very influential on the increase of learning activities because it affects the psychology of students to improve their learning motivation. After study in this method at two different courses in university, authors make a conclusion in the end that the method is effective to increase the frequency of student positive activity, so this method plays a role in improving the quality of learning.

Rapid L2 Word Learning through High Constraint Sentence Context: An Event-Related Potential Study

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Baoguo Chen

2017-12-01

Full Text Available Previous studies have found quantity of exposure, i.e., frequency of exposure (Horst et al., 1998; Webb, 2008; Pellicer-Sánchez and Schmitt, 2010, is important for second language (L2 contextual word learning. Besides this factor, context constraint and L2 proficiency level have also been found to affect contextual word learning (Pulido, 2003; Tekmen and Daloglu, 2006; Elgort et al., 2015; Ma et al., 2015. In the present study, we adopted the event-related potential (ERP technique and chose high constraint sentences as reading materials to further explore the effects of quantity of exposure and proficiency on L2 contextual word learning. Participants were Chinese learners of English with different English proficiency levels. For each novel word, there were four high constraint sentences with the critical word at the end of the sentence. Learners read sentences and made semantic relatedness judgment afterwards, with ERPs recorded. Results showed that in the high constraint condition where each pseudoword was embedded in four sentences with consistent meaning, N400 amplitude upon this pseudoword decreased significantly as learners read the first two sentences. High proficiency learners responded faster in the semantic relatedness judgment task. These results suggest that in high quality sentence contexts, L2 learners could rapidly acquire word meaning without multiple exposures, and L2 proficiency facilitated this learning process.

Exploring Educators' Perspectives: How Does Learning through "Happiness" Promote Quality Early Childhood Education?

Science.gov (United States)

Ikegami, Kiiko; Agbenyega, Joseph Seyram

2014-01-01

The quality of early childhood education has dominated current debates in the ways educators develop and implement learning programs for children yet conceptions of quality vary contextually and culturally. This qualitative case study explored the insider perspectives of six early childhood educators in Sapporo, Japan regarding their conceptions…

Piloting a Statewide Home Visiting Quality Improvement Learning Collaborative.

Science.gov (United States)

Goyal, Neera K; Rome, Martha G; Massie, Julie A; Mangeot, Colleen; Ammerman, Robert T; Breckenridge, Jye; Lannon, Carole M

2017-02-01

Objective To pilot test a statewide quality improvement (QI) collaborative learning network of home visiting agencies. Methods Project timeline was June 2014-May 2015. Overall objectives of this 8-month initiative were to assess the use of collaborative QI to engage local home visiting agencies and to test the use of statewide home visiting data for QI. Outcome measures were mean time from referral to first home visit, percentage of families with at least three home visits per month, mean duration of participation, and exit rate among infants learning. A statewide data system was used to generate monthly run charts. Results Mean time from referral to first home visit was 16.7 days, and 9.4% of families received ≥3 visits per month. Mean participation was 11.7 months, and the exit rate among infants learning network, agencies tested and measured changes using statewide and internal data. Potential next steps are to develop and test new metrics with current pilot sites and a larger collaborative.

High Ability Students' Voice on Learning Motivation

Science.gov (United States)

Garn, Alex C.; Jolly, Jennifer L.

2014-01-01

This study used a self-determination theory lens to investigate high ability learners' motivational experiences. Participants were 15 high ability youth involved in a summer learning camp for gifted students. Two major themes emerged from qualitative data analysis: (a) "The Fun Factor of Learning" and (b) "The Rewards and Pressures…

Policy Priorities for Accreditation Put Quality College Learning at Risk

Science.gov (United States)

Schneider, Carol Geary

2016-01-01

Ensuring the quality of college learning is, beyond doubt, the most important responsibility of higher education accreditation. Yet, almost no one currently thinks that accreditation, especially at the institutional level, is what it should be for twenty-first-century students and institutions of higher education. In this article, the author…

QUALITY IMPLICATIONS OF LEARNING INFRASTRUCTURE ON PERFORMANCE IN SECONDARY EDUCATION: A SMALL SCALE STUDY OF A COUNTY IN KENYA

OpenAIRE

Omae, Nelson Siocha; Henry Onderi; Mwebi Benard

2017-01-01

Learning infrastructure is a key base for effective teaching and learning in schools. The infrastructure forms a very important component in ensuring successful education. The purpose of the study was to evaluate quality implications of learning infrastructure on secondary education in a County in Kenya. The objective of the study was to explore the quality implications of learning infrastructure on secondary education. The study employed the Production Function Theory. The study adopted s...

Conceptions and Practices in teaching and learning: implications for the evaluation of teaching quality.

NARCIS (Netherlands)

Zerihun, Z.; Beishuizen, J.J.; van Os, W

2011-01-01

This study was conducted in two public universities in Ethiopia to assess the impact of conceptions of teaching and learning on the evaluation of teaching quality. Students' and teachers' approaches to teaching and learning and their conceptions of the meaning of teaching have been examined. Results

The development and validation of the Epilepsy and Learning Disabilities Quality of Life (ELDQOL) scale.

Science.gov (United States)

Buck, Deborah; Smith, Monica; Appleton, Richard; Baker, Gus A; Jacoby, Ann

2007-02-01

Few suitable instruments exist for use with people, especially children, with both epilepsy and learning disabilities. One such measure is the Epilepsy and Learning Disabilities Quality of Life scale (ELDQOL), which has recently undergone revision following feedback from relevant users. This article reports on the final psychometric testing phase of this scale. ELDQOL consists of 70 items covering seizure severity, seizure-related injuries, antiepileptic drug side effects, behavior, mood, physical, cognitive, and social functioning, parental concern, communication, overall quality of life, and overall health. Revalidation involved a qualitative phase, to ascertain users' opinions on the wording, coverage, and layout of the questionnaire, and a quantitative phase, to examine internal consistency, test-retest reliability, and validity. There is very good evidence of the reliability and validity of the final version of ELDQOL, making it a promising instrument for assessing quality of life in children/young adults with epilepsy and learning disabilities.

The Effects of Using the Essential Skills Inventory on Teacher Perception of High-Quality Classroom Instruction

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Sornson, Bob

2015-01-01

This study explores the efficacy of using the Essential Skill Inventories (ESI) to increase high-quality instruction in the early learning years. Kindergarten and first- and second-grade teachers, who were identified as using the ESI with fidelity, assessed their own teaching skills and behaviors, reflecting on these before and after use of the…

High-Quality Learning Environments for Engineering Design: Using Tablet PCs and Guidelines from Research on How People Learn

Directory of Open Access Journals (Sweden)

Enrique Palou

2012-04-01

Full Text Available A team of several faculty members and graduate students at Universidad de las Amricas Puebla is improving engineering design teaching and learning by creating richer learning environments that promote an interactive classroom while integrating formative assessment into classroom practices by means of Tablet PCs and associated technologies. Learning environments that are knowledge-, learner-, community-, and assessment-centered as highlighted by the How People Learn framework, have been developed. To date, the redesign of the undergraduate course entitled Introduction to Engineering Design has signicantly (p<0.05 increased student participation; formative assessment and feedback are more common and rapid; and instructors are utilizing the information gained through real-time formative assessments to tailor instruction to meet student needs. Particularly important have been opportunities to make student thinking visible and to give them chances to revise, as well as opportunities for "what if" thinking.

Teaching quality: High school students' autonomy and competence.

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León, Jaime; Medina-Garrido, Elena; Ortega, Miriam

2018-05-01

How teachers manage class learning and interact with students affects students’ motivation and engagement. However, it could be that the effect of students’ representation of teaching quality on the students’ motivation varies between classes. Students from 90 classes participated in the study. We used multilevel random structural equation modeling to analyze whether the relationship of the students’ perception of teaching quality (as an indicator of the students’ mental representation) and students’ motivation varies between classes, and if this variability depends on the class assessment of teaching quality (as an indicator of teaching quality). The effect of teachers’ structure on the regression slope of student perception of student competence was .127. The effect of teachers’ autonomy support on the regression slope of student perception of student autonomy was .066. With this study we contribute a more detailed description of the relationship between teaching quality, competence and autonomy.

Deep and surface learning in problem-based learning: a review of the literature.

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Dolmans, Diana H J M; Loyens, Sofie M M; Marcq, Hélène; Gijbels, David

2016-12-01

In problem-based learning (PBL), implemented worldwide, students learn by discussing professionally relevant problems enhancing application and integration of knowledge, which is assumed to encourage students towards a deep learning approach in which students are intrinsically interested and try to understand what is being studied. This review investigates: (1) the effects of PBL on students' deep and surface approaches to learning, (2) whether and why these effects do differ across (a) the context of the learning environment (single vs. curriculum wide implementation), and (b) study quality. Studies were searched dealing with PBL and students' approaches to learning. Twenty-one studies were included. The results indicate that PBL does enhance deep learning with a small positive average effect size of .11 and a positive effect in eleven of the 21 studies. Four studies show a decrease in deep learning and six studies show no effect. PBL does not seem to have an effect on surface learning as indicated by a very small average effect size (.08) and eleven studies showing no increase in the surface approach. Six studies demonstrate a decrease and four an increase in surface learning. It is concluded that PBL does seem to enhance deep learning and has little effect on surface learning, although more longitudinal research using high quality measurement instruments is needed to support this conclusion with stronger evidence. Differences cannot be explained by the study quality but a curriculum wide implementation of PBL has a more positive impact on the deep approach (effect size .18) compared to an implementation within a single course (effect size of -.05). PBL is assumed to enhance active learning and students' intrinsic motivation, which enhances deep learning. A high perceived workload and assessment that is perceived as not rewarding deep learning are assumed to enhance surface learning.

Brain Atlas Fusion from High-Thickness Diagnostic Magnetic Resonance Images by Learning-Based Super-Resolution.

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Zhang, Jinpeng; Zhang, Lichi; Xiang, Lei; Shao, Yeqin; Wu, Guorong; Zhou, Xiaodong; Shen, Dinggang; Wang, Qian

2017-03-01

It is fundamentally important to fuse the brain atlas from magnetic resonance (MR) images for many imaging-based studies. Most existing works focus on fusing the atlases from high-quality MR images. However, for low-quality diagnostic images (i.e., with high inter-slice thickness), the problem of atlas fusion has not been addressed yet. In this paper, we intend to fuse the brain atlas from the high-thickness diagnostic MR images that are prevalent for clinical routines. The main idea of our works is to extend the conventional groupwise registration by incorporating a novel super-resolution strategy. The contribution of the proposed super-resolution framework is two-fold. First, each high-thickness subject image is reconstructed to be isotropic by the patch-based sparsity learning. Then, the reconstructed isotropic image is enhanced for better quality through the random-forest-based regression model. In this way, the images obtained by the super-resolution strategy can be fused together by applying the groupwise registration method to construct the required atlas. Our experiments have shown that the proposed framework can effectively solve the problem of atlas fusion from the low-quality brain MR images.

Validation of the three web quality dimensions of a minimally invasive surgery e-learning platform.

Science.gov (United States)

Ortega-Morán, Juan Francisco; Pagador, J Blas; Sánchez-Peralta, Luisa Fernanda; Sánchez-González, Patricia; Noguera, José; Burgos, Daniel; Gómez, Enrique J; Sánchez-Margallo, Francisco M

2017-11-01

E-learning web environments, including the new TELMA platform, are increasingly being used to provide cognitive training in minimally invasive surgery (MIS) to surgeons. A complete validation of this MIS e-learning platform has been performed to determine whether it complies with the three web quality dimensions: usability, content and functionality. 21 Surgeons participated in the validation trials. They performed a set of tasks in the TELMA platform, where an e-MIS validity approach was followed. Subjective (questionnaires and checklists) and objective (web analytics) metrics were analysed to achieve the complete validation of usability, content and functionality. The TELMA platform allowed access to didactic content with easy and intuitive navigation. Surgeons performed all tasks with a close-to-ideal number of clicks and amount of time. They considered the design of the website to be consistent (95.24%), organised (90.48%) and attractive (85.71%). Moreover, they gave the content a high score (4.06 out of 5) and considered it adequate for teaching purposes. The surgeons scored the professional language and content (4.35), logo (4.24) and recommendations (4.20) the highest. Regarding functionality, the TELMA platform received an acceptance of 95.24% for navigation and 90.48% for interactivity. According to the study, it seems that TELMA had an attractive design, innovative content and interactive navigation, which are three key features of an e-learning platform. TELMA successfully met the three criteria necessary for consideration as a website of quality by achieving more than 70% of agreements regarding all usability, content and functionality items validated; this constitutes a preliminary requirement for an effective e-learning platform. However, the content completeness, authoring tool and registration process required improvement. Finally, the e-MIS validity methodology used to measure the three dimensions of web quality in this work can be applied to other

A survey on the quality of Master of Medical Education e-learning Course at Mashhad University of Medical Sciences

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M nobakht

2017-03-01

Full Text Available Introduction:Universities and educational institutes provide a great variety of e-learning programs to accommodate the increasing demands for higher education. However, some specialists believe that many of these courses fail to meet the required standards of e-learning, thus cannot achieve the goals of implemented programs. Therefore, regular quality assessment of e-learning programs should be carried out by education providers. This study aimed to assess the quality of medical education e-learning course at Mashhad University of Medical Science. Methods:In the first step, most important components of e-learning standards were extracted through a comprehensive literature review of previous studies and a rating scale consisting of nine elements and 173 items were designed. Content validity of the scale was assured by consulting with ten different instructional design experts using Lawshe's Content Validity Ratio. Reliability of this scale is also investigated by inter-rater reliability coefficient which was 88% . In the next step we provided three instructional design experts with the above mentioned scale to collect required information for each sample lesson. Data was analyzed through SPSS Ver 16.0 software. Result: The elements associated with ‘quality of contents’ and ‘accessibility’ were satisfactory, elements related to ‘instructional design’, ’learning management system’, ’multimedia’ and ‘student assessment’ were relatively satisfactory, and elements associated with ‘interaction’, ‘feedback’ and ‘student support’ were unsatisfactory. Overall, we evaluated the quality of the medical education e-learning course as relatively satisfactory. Conclusion: Although the quality of the assessed e-learning course was relatively satisfactory, it is still necessary for corresponding administrators to reassess those items with an average of less than 1.66 (satisfactory level and pay their special attentions to

Learning-based identification and iterative learning control of direct-drive robots

NARCIS (Netherlands)

Bukkems, B.H.M.; Kostic, D.; Jager, de A.G.; Steinbuch, M.

2005-01-01

A combination of model-based and Iterative Learning Control is proposed as a method to achieve high-quality motion control of direct-drive robots in repetitive motion tasks. We include both model-based and learning components in the total control law, as their individual properties influence the

[E-Learning--an important contribution to general medical training and continuing education?].

Science.gov (United States)

Ruf, D; Berner, M M; Kriston, L; Härter, M

2008-09-01

There is increasing activity in the development of e-learning modules for general medical training and continuing education. One of the central advantages of e-learning is flexibility regarding time and place of its use. The quality of the available e-learning opportunities varies quite considerably. For users it is often not easy to assess the quality of e-learning modules or to find offers of high quality. This could be a reason for the fact that despite the huge number of e-learning modules still only few students and physicians are using them. This is although e-learning has proven to be as effective as and even more efficient than learning in the classroom or with paper-based materials. This article summarizes the different models of e-learning, how and where to find offers of high quality, advantages of using e-learning, and the effectiveness and efficiency of such offers. In addition problems of e-learning and possibilities to overcome these problems are shown.

On the issue of quality of experience in technology supported learning

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Kirsten Snyder

2010-12-01

Full Text Available Quality in education has been discussed for many decades, and as such the discussion reflects the social accountability to which schools are bound in order to demonstrate the degree to which they fulfill their purpose. What has changed overtime is the way in which quality is perceived and how it is used as both an accountability device as well as a form of change agency (Fredriksson & Snyder, 2004; Power, 2002; Riley & Nutall 1994; Snyder, Acker-Hocevar & Snyder, 2000; 2008. Typical accountability models, such as those found in Great Britain and the U.S. and more recently in the European Union and Sweden as well, focus on student achievement, drop-out rates, student attrition and teacher training as some of the key factors that define ”quality” in education (Fredriksson & Snyder, 2004. Presently, international comparison tests such as TIMMS, PEARLS, and PISA are acquiring a greater significance as a ”measure of quality”. At the same time, many argue that such large scale testing does not consider important factors that relate to learning, and drop-out rates do not necessarily relate to quality education. In contrast to the standard accountability and comparative models of quality, are other systemic models, such as total quality management (Deming, 1986; Juran, 1992 that focus on both process and outcome, and recognize the inter-relationship between the two. Quality, from a systemic model, thus must address a variety of factors in addition to student achievement, including elements in the learning environment, as well as the leadership of the school, the infrastructure and resource allocation, team work, etc. (Murgatroyd & Morgan, 1994; Snyder, Acker-Hocevar & Snyder, 2000.

Novel Card Games for Learning Radiographic Image Quality and Urologic Imaging in Veterinary Medicine.

Science.gov (United States)

Ober, Christopher P

Second-year veterinary students are often challenged by concepts in veterinary radiology, including the fundamentals of image quality and generation of differential lists. Four card games were developed to provide veterinary students with a supplemental means of learning about radiographic image quality and differential diagnoses in urogenital imaging. Students played these games and completed assessments of their subject knowledge before and after playing. The hypothesis was that playing each game would improve students' understanding of the topic area. For each game, students who played the game performed better on the post-test than students who did not play that game (all pgames, students who played each respective game demonstrated significant improvement in scores between the pre-test and the post-test (pgames were both helpful and enjoyable. Educationally focused games can help students learn classroom and laboratory material. However, game design is important, as the game using the most passive learning process also demonstrated the weakest results. In addition, based on participants' comments, the games were very useful in improving student engagement in the learning process. Thus, use of games in the classroom and laboratory setting seems to benefit the learning process.

Learning How to Write an Academic Text: The Effect of Instructional Method and Reflection on Text Quality

Science.gov (United States)

van der Loo, Janneke; Krahmer, Emiel; van Amelsvoort, Marije

2016-01-01

In this paper we present preliminary results on a study on the effect of instructional method (observational learning and learning by doing) and reflection (yes or no) on academic text quality and self-efficacy beliefs. 56 undergraduate students were assigned to either an observational learning or learning-by-doing condition, with or without…

Pedagogical quality in e-learning

DEFF Research Database (Denmark)

Dalsgaard, Christian

2005-01-01

The article is concerned with design and use of e-learning technology to develop education qualitatively. The purpose is to develop a framework for a pedagogical evaluation of e-learning technology. The approach is that evaluation and design must be grounded in a learning theoretical approach....... Finally, on the basis of the frameworks, the article discusses e-learning technology and, more specifically, design of virtual learning environments and learning objects. It is argued that e-learning technology is not pedagogically neutral, and that it is therefore necessary to focus on design...

Unpacking the Learning-Work Nexus: "Priming" as Lever for High-Quality Learning Outcomes in Work-Integrated Learning Curricula

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Smith, Calvin; Worsfold, Kate

2015-01-01

This paper describes the impacts of work-integrated learning (WIL) curriculum components on general employability skills--professional work-readiness, self-efficacy and team skills. Regression analyses emphasise the importance of the "authenticity" of WIL placements for the development of these generic outcomes. Other curricula factors…

In Pursuit of Learning: Sensemaking the Quality of Work Life

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Yeo, Roland K.; Li, Jessica

2013-01-01

Purpose: The aim of this paper is to explore how employees make sense of their work context and its influence on their learning orientation to improve their quality of work life. Design/methodology/approach: Qualitative data drawn from a dynamic online discussion that spanned three years were used in the content analysis. A total of 137 MBA…

Facilitation of receptive and productive foreign vocabulary learning using the keyword method: the role of image quality.

Science.gov (United States)

Beaton, Alan A; Gruneberg, Michael M; Hyde, Christopher; Shufflebottom, Alex; Sykes, Robert N

2005-07-01

Ellis and Beaton (1993a) reported that the keyword method of learning enhanced memory of foreign vocabulary items when receptive learning was measured. However, for productive learning, rote repetition was superior to the keyword method. The first two experiments reported here show that, in comparison with rote repetition, both receptive and productive learning can be enhanced by the keyword method, provided that the quality of the keyword images is adequate. In a third experiment using a subset of words from Ellis and Beaton (1993a), the finding they reported, that for productive learning rote repetition was superior to the keyword method, was reversed. The quality of keyword images will vary from study to study and any generalisation regarding the efficacy of the keyword method must take this into account.

Learning Style Preferences of Iranian EFL High School Students

Directory of Open Access Journals (Sweden)

Reza Vaseghi

2013-05-01

Full Text Available The current study examined the learning style preferences of 75 Iranian students at Marefat high school in Kuala Lumpur of which, 41 are females and 34 are males. As there are very few researches in which the learning style preferences of Iranian high school students investigated, this study attempts to fulfil this gap. To this end, in order to identify the students’ preferred learning styles (Visual, Auditory, Kinesthetic, Tactile, Group, and Individual Reid’s Perceptual Learning Style Preferences Questionnaire was used. Results indicated that the six learning style preferences considered in the questionnaire were positively preferred. Overall, kinesthetic and tactile learning were major learning styles. Auditory, group, visual, and individual were minor.

E-learning as a Way to Improve the Quality of Educational for International Students

OpenAIRE

Yanushchik, Olga Vladimirovna; Pakhomova, Elena Grigorievna; Batbold, Khongorzul

2015-01-01

The article focuses on the problem of teaching mathematics to students of an engineering university learning in a non-native language. The results of a survey helped us identify the main difficulties facing international students when they begin their studies at Russian universities. We also describe a methodology of teaching mathematics using e-learning as web-based instruction. The use of e-learning in the educational process improves the quality of practical training and provides a better ...

The Effect of the Total Quality Management on Organizational Innovation in Higher Education Mediated by Organizational Learning

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Aminbeidokhti, Aliakbar; Jamshidi, Laleh; Mohammadi Hoseini, Ahmad

2016-01-01

Many scientists have suggested that both total quality management (TQM) and organizational learning can separately and effectively reinforce innovation. But is there any relationship between TQM and organizational learning? This study has two main purposes: (1) determining the causal relationship between TQM, organizational learning and…

Is problem-based learning a quality approach to education in health sciences?

Science.gov (United States)

Kwan, C Y

2001-07-01

The Faculty of Health Sciences at McMaster University has pioneered, experimented and finally excelled in the application of problem-based learning (PBL) as an entire medical curriculum for the past 35 years. However, the general practice of PBL by other medical schools around the globe has progressed slowly. In theory, PBL as an educational philosophy has long been considered as a quality cognitive concept and was adopted by many medical schools via curriculum reform to improve students' learning attitude. In practice, what is the experimental evidence for PBL meeting the expectation of a quality education in health sciences? How do we differentiate problems associated with PBL philosophy per se from those associated with the ways PBL are handled and implemented? I will address these questions from the perspective of the assessment of performance of students, graduates and practising physicians from the PBL track compared to those from the conventional track based on literature information. Ample evidence suggests that PBL is superior in producing more compassionate physicians and graduates with lifelong learning and leadership quality. But, some educators and administrators are still skeptical that the benefits from PBL may be too marginal to justify the resources required in sustaining it. In this presentation, the assessment of PBL, in both theoretical and practical terms, will be discussed using McMaster PBL as a convenient example because of its relatively long history in practising PBL in medical education.

Effect of learning disabilities on academic self-concept in children with epilepsy and on their quality of life.

Science.gov (United States)

Brabcová, Dana; Zárubová, Jana; Kohout, Jiří; Jošt, Jiří; Kršek, Pavel

2015-01-01

Academic self-concept could significantly affect academic achievement and self-confidence in children with epilepsy. However, limited attention has been devoted to determining factors influencing academic self-concept of children with epilepsy. We aimed to analyze potentially significant variables (gender, frequency of seizures, duration of epilepsy, intellectual disability, learning disability and attention deficit hyperactivity disorder) in relation to academic self-concept in children with epilepsy and to additional domains of their quality of life. The study group consisted of 182 children and adolescents aged 9-14 years who completed the SPAS (Student's Perception of Ability Scale) questionnaire determining their academic self-concept and the modified Czech version of the CHEQOL-25 (Health-Related Quality of Life Measure for Children with Epilepsy) questionnaire evaluating their health-related quality of life. Using regression analysis, we identified learning disability as a key predictor for academic-self concept of children with epilepsy. While children with epilepsy and with no learning disability exhibited results comparable to children without epilepsy, participants with epilepsy and some learning disability scored significantly lower in almost all domains of academic self-concept. We moreover found that children with epilepsy and learning disability have significantly lower quality of life in intrapersonal and interpersonal domains. In contrast to children with epilepsy and with no learning disability, these participants have practically no correlation between their quality of life and academic self-concept. Our findings suggest that considerable attention should be paid to children having both epilepsy and learning disability. It should comprise services of specialized counselors and teaching assistants with an appropriate knowledge of epilepsy and ability to empathize with these children as well as educational interventions focused on their teachers

Consumption-based learning about brand quality : Essays on how private labels share and borrow reputation

NARCIS (Netherlands)

Szymanowski, M.G.

2009-01-01

CONSUMPTION-BASED LEARNING ABOUT BRAND QUALITY: ESSAYS ON HOW PRIVATE LABELS SHARE AND BORROW REPUTATION is a collection of essays exploring the process of consumer cross-brand learning in the context of brands belonging to retailers: the so-called private labels. Private labels have gradually grown

High-quality compressive ghost imaging

Science.gov (United States)

Huang, Heyan; Zhou, Cheng; Tian, Tian; Liu, Dongqi; Song, Lijun

2018-04-01

We propose a high-quality compressive ghost imaging method based on projected Landweber regularization and guided filter, which effectively reduce the undersampling noise and improve the resolution. In our scheme, the original object is reconstructed by decomposing of regularization and denoising steps instead of solving a minimization problem in compressive reconstruction process. The simulation and experimental results show that our method can obtain high ghost imaging quality in terms of PSNR and visual observation.

The information system of learning quality control in higher education institutions: achievements and problems of European universities

Directory of Open Access Journals (Sweden)

Orekhova Elena

2016-01-01

Full Text Available The article deals with the main trends in the development of the system of learning quality control connected with the European integration of higher education and the democratization of education. The authors analyze the state of information systems of learning quality control existing in European higher education and identify their strong and weak points. The authors show that in the learning process universities actively use innovative analytic methods as well as modern means of collecting, storing and transferring information that ensure the successful management of such a complex object as the university of the 21st century.

Learning Style Preferences of Iranian EFL High School Students

OpenAIRE

Reza Vaseghi; Hamed Barjesteh; Sedigheh Shakib

2013-01-01

The current study examined the learning style preferences of 75 Iranian students at Marefat high school in Kuala Lumpur of which, 41 are females and 34 are males. As there are very few researches in which the learning style preferences of Iranian high school students investigated, this study attempts to fulfil this gap. To this end, in order to identify the students’ preferred learning styles (Visual, Auditory, Kinesthetic, Tactile, Group, and Individual) Reid’s Perceptual Learning Style Pref...

EFFECTS OF THE INQUIRY TRAINING AND MOTIVATION LEARNING AGAINST LEARNING OUTCOMES IN HIGH SCHOOL PHYSICS STUDENTS

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Vika Andini

2014-12-01

Full Text Available This study aims to: determine the significance of differences in physics learning outcomes of students with learning models Inquiry Training and conventional models, knowing the significance of differences in physics learning outcomes of students who have learning motivation high and low, low motivation, the interaction model of learning and motivation to learn physics in improving student learning outcomes. The sample in this study conducted in a cluster random sampling of two classes, where the first class as a class experiment applied learning models and Inquiry Training as a second grade class learning model Conventional control applied. The instrument used in this study is the result of learning physics instruments in the form of 20 multiple-choice questions and motivation questionnaire  by 25 statements has been declared valid and reliable. From the results of this study concluded that the learning outcomes of students who are taught by Training Inquiry learning model is better than conventional models of learning outcomes. Learning outcomes of students who have high motivation to learn is better than the learning outcomes of students who have a low learning motivation. Inquiry learning model training and motivation interact in affecting student learning outcomes.

Quality Partnership as a Contextual Prerequisite of Successful Learning of Young and Preschool-Aged Children

Science.gov (United States)

Ljubetic, Maja; Ercegovac, Ina Reic; Koludrovic, Morana

2016-01-01

The paper discusses quality partnership as a prerequisite for the functioning of the institutions of early and pre-school education and for the child's overall development and learning. Considering that child's development and learning take place in different contexts (family, educational institutions, clubs, local and wider communities), the…

e-Learning Resource Brokers

NARCIS (Netherlands)

Retalis, Symeon; Papasalouros, Andreas; Avgeriou, Paris; Siassiakos, Kostas

2004-01-01

There is an exponentially increasing demand for provisioning of high-quality learning resources, which is not satisfied by current web technologies and systems. E-Learning Resource Brokers are a potential solution to this problem, as they represent the state-of-the-art in facilitating the exchange

Forecasting air quality time series using deep learning.

Science.gov (United States)

Freeman, Brian S; Taylor, Graham; Gharabaghi, Bahram; Thé, Jesse

2018-04-13

This paper presents one of the first applications of deep learning (DL) techniques to predict air pollution time series. Air quality management relies extensively on time series data captured at air monitoring stations as the basis of identifying population exposure to airborne pollutants and determining compliance with local ambient air standards. In this paper, 8 hr averaged surface ozone (O 3 ) concentrations were predicted using deep learning consisting of a recurrent neural network (RNN) with long short-term memory (LSTM). Hourly air quality and meteorological data were used to train and forecast values up to 72 hours with low error rates. The LSTM was able to forecast the duration of continuous O 3 exceedances as well. Prior to training the network, the dataset was reviewed for missing data and outliers. Missing data were imputed using a novel technique that averaged gaps less than eight time steps with incremental steps based on first-order differences of neighboring time periods. Data were then used to train decision trees to evaluate input feature importance over different time prediction horizons. The number of features used to train the LSTM model was reduced from 25 features to 5 features, resulting in improved accuracy as measured by Mean Absolute Error (MAE). Parameter sensitivity analysis identified look-back nodes associated with the RNN proved to be a significant source of error if not aligned with the prediction horizon. Overall, MAE's less than 2 were calculated for predictions out to 72 hours. Novel deep learning techniques were used to train an 8-hour averaged ozone forecast model. Missing data and outliers within the captured data set were replaced using a new imputation method that generated calculated values closer to the expected value based on the time and season. Decision trees were used to identify input variables with the greatest importance. The methods presented in this paper allow air managers to forecast long range air pollution

On the use of Cloud Computing and Machine Learning for Large-Scale SAR Science Data Processing and Quality Assessment Analysi

Science.gov (United States)

Hua, H.

2016-12-01

Geodetic imaging is revolutionizing geophysics, but the scope of discovery has been limited by labor-intensive technological implementation of the analyses. The Advanced Rapid Imaging and Analysis (ARIA) project has proven capability to automate SAR data processing and analysis. Existing and upcoming SAR missions such as Sentinel-1A/B and NISAR are also expected to generate massive amounts of SAR data. This has brought to the forefront the need for analytical tools for SAR quality assessment (QA) on the large volumes of SAR data-a critical step before higher-level time series and velocity products can be reliably generated. Initially leveraging an advanced hybrid-cloud computing science data system for performing large-scale processing, machine learning approaches were augmented for automated analysis of various quality metrics. Machine learning-based user-training of features, cross-validation, prediction models were integrated into our cloud-based science data processing flow to enable large-scale and high-throughput QA analytics for enabling improvements to the production quality of geodetic data products.

Integration of Technology in Teaching and Learning: Comprehensive Initiatives Enhance Student Engagement and Learning

Science.gov (United States)

Nebbergall, Allison

2012-01-01

As technology increasingly transforms our daily lives, educators too are seeking strategies and resources that leverage technology to improve student learning. Research demonstrates that high-quality professional development, digital standards-based content, and personalized learning plans can increase student achievement, engagement, and…

Fabrication of high-quality brazed joints

International Nuclear Information System (INIS)

Orlov, A.V.

1980-01-01

Problem of ensuring of joint high-quality when brazing different parts in power engineering is considered. To obtain high-quality joints it is necessary to correctly design brazed joint and to choose a gap width, overlap length and fillet radius; to clean up carefully the surfaces to be brazed and fix them properly one relative to another; to apply a solder so as to provide its flowing into the gap and sticking in it; to exactly regulate thermal conditions of brazing. High quality and reliability of brazed joints are ensured by the application of solders based on noble metals, and cheap solders based on nickel, manganese and copper. Joints brazed with nickel base solders may operate at temperatures as high as 888 deg C

Reinforcement learning on slow features of high-dimensional input streams.

Directory of Open Access Journals (Sweden)

Robert Legenstein

Full Text Available Humans and animals are able to learn complex behaviors based on a massive stream of sensory information from different modalities. Early animal studies have identified learning mechanisms that are based on reward and punishment such that animals tend to avoid actions that lead to punishment whereas rewarded actions are reinforced. However, most algorithms for reward-based learning are only applicable if the dimensionality of the state-space is sufficiently small or its structure is sufficiently simple. Therefore, the question arises how the problem of learning on high-dimensional data is solved in the brain. In this article, we propose a biologically plausible generic two-stage learning system that can directly be applied to raw high-dimensional input streams. The system is composed of a hierarchical slow feature analysis (SFA network for preprocessing and a simple neural network on top that is trained based on rewards. We demonstrate by computer simulations that this generic architecture is able to learn quite demanding reinforcement learning tasks on high-dimensional visual input streams in a time that is comparable to the time needed when an explicit highly informative low-dimensional state-space representation is given instead of the high-dimensional visual input. The learning speed of the proposed architecture in a task similar to the Morris water maze task is comparable to that found in experimental studies with rats. This study thus supports the hypothesis that slowness learning is one important unsupervised learning principle utilized in the brain to form efficient state representations for behavioral learning.

DL-sQUAL: A Multiple-Item Scale for Measuring Service Quality of Online Distance Learning Programs

Science.gov (United States)

Shaik, Naj; Lowe, Sue; Pinegar, Kem

2006-01-01

Education is a service with multiplicity of student interactions over time and across multiple touch points. Quality teaching needs to be supplemented by consistent quality supporting services for programs to succeed under the competitive distance learning landscape. ServQual and e-SQ scales have been proposed for measuring quality of traditional…

Information-seeking Behavior During Residency Is Associated With Quality of Theoretical Learning, Academic Career Achievements, and Evidence-based Medical Practice

Science.gov (United States)

Oussalah, Abderrahim; Fournier, Jean-Paul; Guéant, Jean-Louis; Braun, Marc

2015-01-01

Abstract Data regarding knowledge acquisition during residency training are sparse. Predictors of theoretical learning quality, academic career achievements and evidence-based medical practice during residency are unknown. We performed a cross-sectional study on residents and attending physicians across several residency programs in 2 French faculties of medicine. We comprehensively evaluated the information-seeking behavior (I-SB) during residency using a standardized questionnaire and looked for independent predictors of theoretical learning quality, academic career achievements, and evidence-based medical practice among I-SB components using multivariate logistic regression analysis. Between February 2013 and May 2013, 338 fellows and attending physicians were included in the study. Textbooks and international medical journals were reported to be used on a regular basis by 24% and 57% of the respondents, respectively. Among the respondents, 47% refer systematically (4.4%) or frequently (42.6%) to published guidelines from scientific societies upon their publication. The median self-reported theoretical learning quality score was 5/10 (interquartile range, 3–6; range, 1–10). A high theoretical learning quality score (upper quartile) was independently and strongly associated with the following I-SB components: systematic reading of clinical guidelines upon their publication (odds ratio [OR], 5.55; 95% confidence interval [CI], 1.77–17.44); having access to a library that offers the leading textbooks of the specialty in the medical department (OR, 2.45, 95% CI, 1.33–4.52); knowledge of the specialty leading textbooks (OR, 2.12; 95% CI, 1.09–4.10); and PubMed search skill score ≥5/10 (OR, 1.94; 95% CI, 1.01–3.73). Research Master (M2) and/or PhD thesis enrolment were independently and strongly associated with the following predictors: PubMed search skill score ≥5/10 (OR, 4.10; 95% CI, 1.46–11.53); knowledge of the leading medical journals of the

Prediction of HDR quality by combining perceptually transformed display measurements with machine learning

Science.gov (United States)

Choudhury, Anustup; Farrell, Suzanne; Atkins, Robin; Daly, Scott

2017-09-01

We present an approach to predict overall HDR display quality as a function of key HDR display parameters. We first performed subjective experiments on a high quality HDR display that explored five key HDR display parameters: maximum luminance, minimum luminance, color gamut, bit-depth and local contrast. Subjects rated overall quality for different combinations of these display parameters. We explored two models | a physical model solely based on physically measured display characteristics and a perceptual model that transforms physical parameters using human vision system models. For the perceptual model, we use a family of metrics based on a recently published color volume model (ICT-CP), which consists of the PQ luminance non-linearity (ST2084) and LMS-based opponent color, as well as an estimate of the display point spread function. To predict overall visual quality, we apply linear regression and machine learning techniques such as Multilayer Perceptron, RBF and SVM networks. We use RMSE and Pearson/Spearman correlation coefficients to quantify performance. We found that the perceptual model is better at predicting subjective quality than the physical model and that SVM is better at prediction than linear regression. The significance and contribution of each display parameter was investigated. In addition, we found that combined parameters such as contrast do not improve prediction. Traditional perceptual models were also evaluated and we found that models based on the PQ non-linearity performed better.

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

Hybrid High-Impact Pedagogies: Integrating Service-Learning with Three Other High-Impact Pedagogies

Science.gov (United States)

Bringle, Robert G.

2017-01-01

This article proposes enhancing student learning through civic engagement by considering the advantages of integrating service-learning with study away, research, and internships and pre-professional courses into first-order, second-order, and third-order hybrid high-impact pedagogies. Service-learning contributes numerous attributes to the other…

Student profile with high adversity quotient in math learning

Science.gov (United States)

Hastuti, T. D.; Sari S, D. R.; Riyadi

2018-03-01

Lately a lot of research conducted to determine the effect of Adversity Quotient students on learning achievement. This is done because many students with excellent IQ and EQ, but often have problems when they are in the workforce. This study will analyze the profile of High School students with high Adversity Quotient (AQ) in learning mathematics. The test is done using a questionnaire to know the AQ level of the students, and the interview is done to get the data about the student profile. Based on the results of tests and interviews obtained data that students with high AQ able to face the learning of mathematics in various materials and with different models of learning.

NAGC Pre-K-Grade 12 Gifted Education Programming Standards: A Guide to Planning and Implementing High-Quality Services

Science.gov (United States)

Johnsen, Susan K., Ed.

2012-01-01

The new Pre-K-Grade 12 Gifted Education Programming Standards should be part of every school district's repertoire of standards to ensure that the learning needs of advanced students are being met. "NAGC Pre-K-Grade 12 Gifted Education Programming Standards: A Guide to Planning and Implementing High-Quality Services" details six standards that…

Teamwork in Relation to Quality of E-Learning: Business Education Context

Science.gov (United States)

Magzan, Masa; Aleksic-Maslac, Karmela; Juric, Visnja

2010-01-01

This paper describes several models of teamwork used in business curricula at Zagreb School of Economics and Management (ZSEM) in Croatia. Since its foundation in 2002, ZSEM has been implementing best academic practices for quality assurance. This is done both in terms of integrating ICT in teaching and learning, as well as applying contemporary…

Quality management of eLearning for medical education: current situation and outlook.

Science.gov (United States)

Abrusch, Jasmin; Marienhagen, Jörg; Böckers, Anja; Gerhardt-Szép, Susanne

2015-01-01

In 2008, the German Council of Science had advised universities to establish a quality management system (QMS) that conforms to international standards. The system was to be implemented within 5 years, i.e., until 2014 at the latest. The aim of the present study was to determine whether a QMS suitable for electronic learning (eLearning) domain of medical education to be used across Germany has meanwhile been identified. We approached all medical universities in Germany (n=35), using an anonymous questionnaire (8 domains, 50 items). Our results (response rate 46.3%) indicated very reluctant application of QMS in eLearning and a major information deficit at the various institutions. Authors conclude that under the limitations of this study there seems to be a considerable need to improve the current knowledge on QMS for eLearning, and that clear guidelines and standards for their implementation should be further defined.

ExpandED Options: Learning beyond High School Walls

Science.gov (United States)

ExpandED Schools, 2014

2014-01-01

Through ExpandED Options by TASC, New York City high school students get academic credit for learning career-related skills that lead to paid summer jobs. Too many high school students--including those most likely to drop out--are bored or see classroom learning as irrelevant. ExpandED Options students live the connection between mastering new…

Establishing High-Quality Prostate Brachytherapy Using a Phantom Simulator Training Program

Energy Technology Data Exchange (ETDEWEB)

Thaker, Nikhil G. [Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Kudchadker, Rajat J. [Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Swanson, David A. [Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Albert, Jeffrey M. [Department of Radiation Oncology, Banner Health, Loveland/Greeley, Colorado (United States); Mahmood, Usama; Pugh, Thomas J.; Boehling, Nicholas S. [Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Bruno, Teresa L. [Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Prestidge, Bradley R. [Department of Radiation Oncology, Bon Secours Health System, Norfolk, Virginia (United States); Crook, Juanita M. [Department of Radiation Oncology, Cancer Center for the Southern Interior, Kelowna, British Columbia (Canada); Cox, Brett W.; Potters, Louis [Department of Radiation Medicine, North Shore-LIJ Health System, New Hyde Park, New York (United States); Moran, Brian J. [Chicago Prostate Center, Westmont, Illinois (United States); Keyes, Mira [Department of Radiation Oncology, British Columbia Cancer Agency, Vancouver Center, Vancouver, British Columbia (Canada); Kuban, Deborah A. [Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Frank, Steven J., E-mail: sjfrank@mdanderson.org [Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States)

2014-11-01

Purpose: To design and implement a unique training program that uses a phantom-based simulator to teach the process of prostate brachytherapy (PB) quality assurance and improve the quality of education. Methods and Materials: Trainees in our simulator program were practicing radiation oncologists, radiation oncology residents, and fellows of the American Brachytherapy Society. The program emphasized 6 core areas of quality assurance: patient selection, simulation, treatment planning, implant technique, treatment evaluation, and outcome assessment. Using the Iodine 125 ({sup 125}I) preoperative treatment planning technique, trainees implanted their ultrasound phantoms with dummy seeds (ie, seeds with no activity). Pre- and postimplant dosimetric parameters were compared and correlated using regression analysis. Results: Thirty-one trainees successfully completed the simulator program during the period under study. The mean phantom prostate size, number of seeds used, and total activity were generally consistent between trainees. All trainees met the V100 >95% objective both before and after implantation. Regardless of the initial volume of the prostate phantom, trainees' ability to cover the target volume with at least 100% of the dose (V100) was not compromised (R=0.99 pre- and postimplant). However, the V150 had lower concordance (R=0.37) and may better reflect heterogeneity control of the implant process. Conclusions: Analysis of implants from this phantom-based simulator shows a high degree of consistency between trainees and uniformly high-quality implants with respect to parameters used in clinical practice. This training program provides a valuable educational opportunity that improves the quality of PB training and likely accelerates the learning curve inherent in PB. Prostate phantom implantation can be a valuable first step in the acquisition of the required skills to safely perform PB.

Establishing High-Quality Prostate Brachytherapy Using a Phantom Simulator Training Program

International Nuclear Information System (INIS)

Thaker, Nikhil G.; Kudchadker, Rajat J.; Swanson, David A.; Albert, Jeffrey M.; Mahmood, Usama; Pugh, Thomas J.; Boehling, Nicholas S.; Bruno, Teresa L.; Prestidge, Bradley R.; Crook, Juanita M.; Cox, Brett W.; Potters, Louis; Moran, Brian J.; Keyes, Mira; Kuban, Deborah A.; Frank, Steven J.

2014-01-01

Purpose: To design and implement a unique training program that uses a phantom-based simulator to teach the process of prostate brachytherapy (PB) quality assurance and improve the quality of education. Methods and Materials: Trainees in our simulator program were practicing radiation oncologists, radiation oncology residents, and fellows of the American Brachytherapy Society. The program emphasized 6 core areas of quality assurance: patient selection, simulation, treatment planning, implant technique, treatment evaluation, and outcome assessment. Using the Iodine 125 ( 125 I) preoperative treatment planning technique, trainees implanted their ultrasound phantoms with dummy seeds (ie, seeds with no activity). Pre- and postimplant dosimetric parameters were compared and correlated using regression analysis. Results: Thirty-one trainees successfully completed the simulator program during the period under study. The mean phantom prostate size, number of seeds used, and total activity were generally consistent between trainees. All trainees met the V100 >95% objective both before and after implantation. Regardless of the initial volume of the prostate phantom, trainees' ability to cover the target volume with at least 100% of the dose (V100) was not compromised (R=0.99 pre- and postimplant). However, the V150 had lower concordance (R=0.37) and may better reflect heterogeneity control of the implant process. Conclusions: Analysis of implants from this phantom-based simulator shows a high degree of consistency between trainees and uniformly high-quality implants with respect to parameters used in clinical practice. This training program provides a valuable educational opportunity that improves the quality of PB training and likely accelerates the learning curve inherent in PB. Prostate phantom implantation can be a valuable first step in the acquisition of the required skills to safely perform PB

Learning Organizations in High Reliability Industries

International Nuclear Information System (INIS)

Schwalbe, D.; Wächter, C.

2016-01-01

Full text: Humans make mistakes. Sometimes we learn from them. In a high reliability organization we have to learn before an error leads to an incident (or even accident). Therefore the “human factor” is most important as most of the time the human is the last line of defense. The “human factor” is more than communication or leadership skills. At the end, it is the personal attitude. This attitude has to be safety minded. And this attitude has to be self-reflected continuously. Moreover, feedback from others is urgently needed to improve one’s personal skills daily and learn from our own experience as well as from others. (author

Availability of high quality weather data measurements

DEFF Research Database (Denmark)

Andersen, Elsa; Johansen, Jakob Berg; Furbo, Simon

In the period 2016-2017 the project “Availability of high quality weather data measurements” is carried out at Department of Civil Engineering at the Technical University of Denmark. The aim of the project is to establish measured high quality weather data which will be easily available...... for the building energy branch and the solar energy branch in their efforts to achieve energy savings and for researchers and students carrying out projects where measured high quality weather data are needed....

HIGH SCHOOL STUDENTS’ VIEWS ON BLENDED LEARNING

Directory of Open Access Journals (Sweden)

Ibrahim Umit YAPICI,

2012-08-01

Full Text Available In this study, it is aimed to determine the high school students’ views on blended learning. The study was carried out in biology course for the lesson unit of “Classification of Living Things and Biodiversity” with 47 9th grade students attending Nevzat Ayaz Anatolian High School in the second term of the academic year of 2009-2010. The lessons were taught in a way appropriate to the blended learning model both via the Internet and on face-to-face basis. As the online dimension of the blended learning model, Moodle, a Learning Management System (LMS, was used. The application lasted 10 weeks. The scale of learners’ views on blended learning was applied and interviews were held to determine the views. As a result of the analysis of the scale, it was seen that their views were “highly” positive. The interviews held with the students revealed that the blended learning model provided students with various opportunities such as getting prepared for the lessons, reviewing the lessons as many times as wanted, reaching the subject-related materials without being dependent on time and place, testing oneself and communicating with the teacher and other students out of the school. The interviews also revealed that there were various problems though such as lack of Internet connection at home and problems experienced while playing the videos.

Software Quality and Security in Teachers' and Students' Codes When Learning a New Programming Language

Directory of Open Access Journals (Sweden)

Arnon Hershkovitz

2015-09-01

Full Text Available In recent years, schools (as well as universities have added cyber security to their computer science curricula. This topic is still new for most of the current teachers, who would normally have a standard computer science background. Therefore the teachers are trained and then teaching their students what they have just learned. In order to explore differences in both populations’ learning, we compared measures of software quality and security between high-school teachers and students. We collected 109 source files, written in Python by 18 teachers and 31 students, and engineered 32 features, based on common standards for software quality (PEP 8 and security (derived from CERT Secure Coding Standards. We use a multi-view, data-driven approach, by (a using hierarchical clustering to bottom-up partition the population into groups based on their code-related features and (b building a decision tree model that predicts whether a student or a teacher wrote a given code (resulting with a LOOCV kappa of 0.751. Overall, our findings suggest that the teachers’ codes have a better quality than the students’ – with a sub-group of the teachers, mostly males, demonstrate better coding than their peers and the students – and that the students’ codes are slightly better secured than the teachers’ codes (although both populations show very low security levels. The findings imply that teachers might benefit from their prior knowledge and experience, but also emphasize the lack of continuous involvement of some of the teachers with code-writing. Therefore, findings shed light on computer science teachers as lifelong learners. Findings also highlight the difference between quality and security in today’s programming paradigms. Implications for these findings are discussed.

Quality Assessment of Adaptive Bitrate Videos using Image Metrics and Machine Learning

DEFF Research Database (Denmark)

Søgaard, Jacob; Forchhammer, Søren; Brunnström, Kjell

2015-01-01

Adaptive bitrate (ABR) streaming is widely used for distribution of videos over the internet. In this work, we investigate how well we can predict the quality of such videos using well-known image metrics, information about the bitrate levels, and a relatively simple machine learning method...

Indoor Air Quality in High Performance Schools

Science.gov (United States)

High performance schools are facilities that improve the learning environment while saving energy, resources, and money. The key is understanding the lifetime value of high performance schools and effectively managing priorities, time, and budget.

Impact of Expert Teaching Quality on Novice Academic Performance in the Jigsaw Cooperative Learning Method

Science.gov (United States)

Berger, Roland; Hänze, Martin

2015-01-01

We assessed the impact of expert students' instructional quality on the academic performance of novice students in 12th-grade physics classes organized in an expert model of cooperative learning ("jigsaw classroom"). The instructional quality of 129 expert students was measured by a newly developed rating system. As expected, when…

Argumentation Quality of Socio-scientific Issue between High School Students and Postgraduate Students about Cancer

Science.gov (United States)

Anisa, A.; Widodo, A.; Riandi, R.

2017-09-01

Argumentation is one factor that can help improve critical thinking skills. Arguing means to defend statements with the various data, denials, evidence, and reinforcement that support the statement. The research aimed to capture the quality of argument skills by students in grade 12 high school students and in postgraduate student on social-scientific issues of cancer. Both group subjects are not in the same school or institution, chosen purposively with the subject of 39 high school students of grade 12 in one district of West Java and 13 students of Biology education postgraduate in one of University in West Java - Indonesia. The results of the quality structure of arguments in both subject groups show the same pattern, which is claim - warrant - and ground, with the quality of counterclaim aspects on the postgraduate students look better than grade 12 students. This provides an illustration that the ability in argumentation between students and teachers in the socio-scientific issue of cancer should be evaluate so that the learning process would be more refined in schools.

Campus Life for International Students: Exploring Students' Perceptions of Quality Learning Environment at a Private University in Malaysia

Science.gov (United States)

Seng, Ernest Lim Kok; Khoo-Lattimore, Catheryn

2012-01-01

The number of international students enrolling at higher learning institutions in Malaysia is increasing each year. However, the quality of learning environment is not always easy to measure, particularly for private universities which are not financially aided by the government, where the learning environment is characterized by their physical…

FUNDAMENTALIZATION OF ICT LEARNING IN MODERN HIGH TECH ENVIRONMENT

Directory of Open Access Journals (Sweden)

M. P. Shyshkina

2013-03-01

Full Text Available The article outlines the features of the process of fundamentalization of ICT learning, educational background to ensure it in high school. The concept of fundamental knowledge and its role in training of a specialist is described. The problems of access to qualitative education, particularly to electronic learning resources in modern high-tech environment are revealed. The role of computer mathematics as a tool of ICT learning fundamentalization is emphasized.

Mobile Learning and Indigenous Education in Canada: A Synthesis of New Ways of Learning

Science.gov (United States)

Pulla, Siomonn

2017-01-01

M-Learning holds great potential for supporting the positive educational outcomes of underserved Indigenous communities in the Canadian North, and even in urban centers, that are at risk of exclusion from affordable, high-quality learning experiences. The technical advantages of having mobile technology to deliver educational curricula and assess…

Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data.

Science.gov (United States)

Gu, Ke; Tao, Dacheng; Qiao, Jun-Fei; Lin, Weisi

2018-04-01

In this paper, we investigate into the problem of image quality assessment (IQA) and enhancement via machine learning. This issue has long attracted a wide range of attention in computational intelligence and image processing communities, since, for many practical applications, e.g., object detection and recognition, raw images are usually needed to be appropriately enhanced to raise the visual quality (e.g., visibility and contrast). In fact, proper enhancement can noticeably improve the quality of input images, even better than originally captured images, which are generally thought to be of the best quality. In this paper, we present two most important contributions. The first contribution is to develop a new no-reference (NR) IQA model. Given an image, our quality measure first extracts 17 features through analysis of contrast, sharpness, brightness and more, and then yields a measure of visual quality using a regression module, which is learned with big-data training samples that are much bigger than the size of relevant image data sets. The results of experiments on nine data sets validate the superiority and efficiency of our blind metric compared with typical state-of-the-art full-reference, reduced-reference and NA IQA methods. The second contribution is that a robust image enhancement framework is established based on quality optimization. For an input image, by the guidance of the proposed NR-IQA measure, we conduct histogram modification to successively rectify image brightness and contrast to a proper level. Thorough tests demonstrate that our framework can well enhance natural images, low-contrast images, low-light images, and dehazed images. The source code will be released at https://sites.google.com/site/guke198701/publications.

MO-AB-210-00: Diagnostic Ultrasound Imaging Quality Control and High Intensity Focused Ultrasound Therapy Hands-On Workshop

International Nuclear Information System (INIS)

2015-01-01

The goal of this ultrasound hands-on workshop is to demonstrate advancements in high intensity focused ultrasound (HIFU) and to demonstrate quality control (QC) testing in diagnostic ultrasound. HIFU is a therapeutic modality that uses ultrasound waves as carriers of energy. HIFU is used to focus a beam of ultrasound energy into a small volume at specific target locations within the body. The focused beam causes localized high temperatures and produces a well-defined regions of necrosis. This completely non-invasive technology has great potential for tumor ablation and targeted drug delivery. At the workshop, attendees will see configurations, applications, and hands-on demonstrations with on-site instructors at separate stations. The involvement of medical physicists in diagnostic ultrasound imaging service is increasing due to QC and accreditation requirements. At the workshop, an array of ultrasound testing phantoms and ultrasound scanners will be provided for attendees to learn diagnostic ultrasound QC in a hands-on environment with live demonstrations of the techniques. Target audience: Medical physicists and other medical professionals in diagnostic imaging and radiation oncology with interest in high-intensity focused ultrasound and in diagnostic ultrasound QC. Learning Objectives: Learn ultrasound physics and safety for HIFU applications through live demonstrations Get an overview of the state-of-the art in HIFU technologies and equipment Gain familiarity with common elements of a quality control program for diagnostic ultrasound imaging Identify QC tools available for testing diagnostic ultrasound systems and learn how to use these tools List of supporting vendors for HIFU and diagnostic ultrasound QC hands-on workshop: Philips Healthcare Alpinion Medical Systems Verasonics, Inc Zonare Medical Systems, Inc Computerized Imaging Reference Systems (CIRS), Inc. GAMMEX, Inc., Cablon Medical BV Steffen Sammet: NIH/NCI grant 5R25CA132822, NIH/NINDS grant 5R25NS

MO-AB-210-00: Diagnostic Ultrasound Imaging Quality Control and High Intensity Focused Ultrasound Therapy Hands-On Workshop

Energy Technology Data Exchange (ETDEWEB)

NONE

2015-06-15

The goal of this ultrasound hands-on workshop is to demonstrate advancements in high intensity focused ultrasound (HIFU) and to demonstrate quality control (QC) testing in diagnostic ultrasound. HIFU is a therapeutic modality that uses ultrasound waves as carriers of energy. HIFU is used to focus a beam of ultrasound energy into a small volume at specific target locations within the body. The focused beam causes localized high temperatures and produces a well-defined regions of necrosis. This completely non-invasive technology has great potential for tumor ablation and targeted drug delivery. At the workshop, attendees will see configurations, applications, and hands-on demonstrations with on-site instructors at separate stations. The involvement of medical physicists in diagnostic ultrasound imaging service is increasing due to QC and accreditation requirements. At the workshop, an array of ultrasound testing phantoms and ultrasound scanners will be provided for attendees to learn diagnostic ultrasound QC in a hands-on environment with live demonstrations of the techniques. Target audience: Medical physicists and other medical professionals in diagnostic imaging and radiation oncology with interest in high-intensity focused ultrasound and in diagnostic ultrasound QC. Learning Objectives: Learn ultrasound physics and safety for HIFU applications through live demonstrations Get an overview of the state-of-the art in HIFU technologies and equipment Gain familiarity with common elements of a quality control program for diagnostic ultrasound imaging Identify QC tools available for testing diagnostic ultrasound systems and learn how to use these tools List of supporting vendors for HIFU and diagnostic ultrasound QC hands-on workshop: Philips Healthcare Alpinion Medical Systems Verasonics, Inc Zonare Medical Systems, Inc Computerized Imaging Reference Systems (CIRS), Inc. GAMMEX, Inc., Cablon Medical BV Steffen Sammet: NIH/NCI grant 5R25CA132822, NIH/NINDS grant 5R25NS

Quality reform and "the learning pre-school child" in the making

DEFF Research Database (Denmark)

Krejsler, John B.

2012-01-01

The article argues that Early Childhood Education & Care (ECEC) is being redesigned based on quality reform discourse with references to global knowledge economy across Nordic countries and the EU. This takes place in policy processes that extend from transnational agents like the OECD and EU...... to national governments, local municipalities and ECEC institutions. Drawing on theoretical insights from Foucauldian genealogy, Laclau and others, the article explores how these policy processes reconfigure what counts as quality in ECEC in a Danish context. It is substantiated how the Danish government...... promotes governance structures among municipalities and professionals that pull ECEC into comprehensive educational strategies. This process draws on policy advice from the OECD and EU. Quality reform thus changes in fundamental ways the organisation and content in ECEC. In discourse, learning displaces...

Student groups as learning entities : The effect of group diversity and teamwork quality on groups' cognitive complexity

NARCIS (Netherlands)

Curseu, P.L.; Pluut, H.

2013-01-01

Collaborative learning has important group-level benefits, yet most studies in higher education only focus on individual benefits of collaborative learning experiences. This study extends these insights by testing a model in which teamwork quality mediates the impact of several compositional

Student's Perceptions of Quality Learning in a Malaysian University--A Mixed Method Approach

Science.gov (United States)

Choy, S. Chee; Yim, Joanne Sau-Ching; Tan, Poh Leong

2017-01-01

Purpose: This paper aims to examine students' perceptions of quality learning using a mixed-methods approach in a Malaysian university, with an aim to fill existing knowledge gaps in the literature on relationships among relevant quality variables. The study also assesses the extent to which detailed results from a few participants can be…

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.

Cultures of Learning in Effective High Schools

Science.gov (United States)

Tichnor-Wagner, Ariel; Harrison, Christopher; Cohen-Vogel, Lora

2016-01-01

Purpose: Research indicates that a culture of learning is a key factor in building high schools that foster academic achievement in all students. Yet less is known about which elements of a culture of learning differentiate schools with higher levels of academic performance. To fill this gap, this comparative case study examined the cultures of…

Dynamic Fuzzy Logic-Based Quality of Interaction within Blended-Learning: The Rare and Contemporary Dance Cases

Science.gov (United States)

Dias, Sofia B.; Diniz, José A.; Hadjileontiadis, Leontios J.

2014-01-01

The combination of the process of pedagogical planning within the Blended (b-) learning environment with the users' quality of interaction ("QoI") with the Learning Management System (LMS) is explored here. The required "QoI" (both for professors and students) is estimated by adopting a fuzzy logic-based modeling approach,…

Service-Learning: A Venue for Enhancing Pre-Service Educators' Knowledge Base for Teaching

Science.gov (United States)

Meaney, Karen; Griffin, Kent; Bohler, Heidi

2009-01-01

Scholarship of Teaching and Learning research examining the impact of service-learning on student's personal qualities has shown positive results. Findings indicate that students participating in high quality service-learning programs show increases in their perceptions of self-efficacy, civic responsibility, social justice, and diversity…

Computer Assisted Language Learning (CALL) Software: Evaluation ...

African Journals Online (AJOL)

Evaluating the nature and extent of the influence of Computer Assisted Language Learning (CALL) on the quality of language learning is highly problematic. This is owing to the number and complexity of interacting variables involved in setting the items for teaching and learning languages. This paper identified and ...

Professionals' Perception of Quality Physical Education Learning in Selected Asian Cities

Science.gov (United States)

Ho, Walter King Yan; Ahmed, Md. Dilsad; Keh, Nyit Chin; Khoo, Selina; Tan, Cheehian; Dehkordi, Mitra Rouhi; Gallardo, Mila; Lee, Kicheon; Yamaguchi, Yasuo; Wang, Jian; Liu, Min; Huang, Fan

2017-01-01

Numerous studies have been published heralding the benefits of physical education in school education. Sport and physical activities form the major content in learning and the arrangement serves as the major source of development in students. This paper identifies "quality" as an internationally concerned issue and within the concept,…

Effectiveness of E-Learning for Students Vocational High School Building Engineering Program

Science.gov (United States)

Soeparno; Muslim, Supari

2018-04-01

Implementation of vocational learning in accordance with the 2013 curriculum must meet the criteria, one of which is learning to be consistent with advances in technology and information. Technology-based learning in vocational commonly referred to as E-Learning, online (in the network) and WBL (Web-Based Learning). Facts on the ground indicate that based learning technology and information on Vocational High School of Building Engineering is still not going well. The purpose of this research is to know: advantages and disadvantages of learning with E-Learning, conformity of learning with E-Learning with characteristics of students on Vocational High School of Building Engineering and effective learning method based on E-Learning for students on Vocational High School of Building Engineering. Research done by literature method, get the following conclusion as follow: the advantages of E-Learning is learning can be done anywhere and anytime, efficient in accessing materials and tasks, ease of communication and discussion; while the shortage is the need for additional costs for good internet access and lack of social interaction between teachers and students. E-learning is appropriate to basic knowledge competencies, and not appropriate at the level of advanced competencies and skills. Effective E-Learning Based Learning Method on Vocational High School of Building Engineering is a Blended method that is a mix between conventional method and e-learning.

Using Cogenerative Dialogs to Improve Science Teaching and Learning: Challenges and Solutions in High School Students' Internships

Science.gov (United States)

Hsu, Pei-Ling

2018-05-01

Internships in science research settings have received increasing attention as a means of helping students construct appropriate understandings, practices, tools, and language in scientific activities. To advance student-scientist partnerships beyond the status quo, the study aimed to investigate how cogenerative dialogs (cogens) may help high school students and scientists identify and address challenges collectively. The analysis identified nine major challenges discussed during cogens: (1) the quality and progress of scientific practice in laboratories, (2) the quality of scientists'/assistants' instructions in classrooms, (3) the quality of student participation in classrooms and homework, (4) students' absences, including arriving late or leaving early, (5) the quality of administrative support, (6) preparation for scientific presentations, (7) the process of deciding project topics, (8) students' peer interactions and communication, and (9) students' physiological needs. The three most salient challenges were "the quality and progress of scientific practice in laboratories" (39%), "the quality of scientists'/assistants' instructions in classrooms" (20%), and "the quality of student participation in classrooms and homework" (17%). The study shows that cogens allowed students and scientists to agree on teaching modifications that positively influenced teaching and learning processes during the internship, such that issues were reduced from the beginning to the closing stages. Importantly, the challenges and solutions identified by students and scientists in this study provide accounts of first-hand experience as well as insights to aid program directors or coordinators in designing a learning environment that can foster effective practice for internships by avoiding the issues identified in the study.

THE IMPACT OF INTERACTIVE LEARNING ON THE QUALITY OF COMMUNICATION IN TEACHING PROCESS

OpenAIRE

Branka Kovačević; Brane Mikanović; Žana Gavrilović

2017-01-01

The application of interactive learning is directed towards increasing the quality of communication in the teaching process. The focus of the research in this paper is the influence of the communicative approach on the quality of the teaching process, and the purposeful interaction that has been both the method and the aim of the communicative approach. The authors of this paper argue that the interactive method significantly adds to a successful implementation of purposeful communication in ...

STEPP: A Grounded Model to Assure the Quality of Instructional Activities in e-Learning Environments

Directory of Open Access Journals (Sweden)

Hamdy AHMED ABDELAZIZ

2013-07-01

Full Text Available The present theoretical paper aims to develop a grounded model for designing instructional activities appropriate to e-learning and online learning environments. The suggested model is guided by learning principles of cognitivism, constructivism, and connectivism learning principles to help online learners constructing meaningful experiences and moving from knowledge acquisition to knowledge creation process. The proposed model consists of five dynamic and grounded domains that assure the quality of designing and using e-learning activities: Ø Social Domain; Ø Technological Domain; Ø Epistemological Domain; Ø Psychological domain; and Ø Pedagogical Domain. Each of these domains needs four types of presences to reflect the design and the application process of e-learning activities. These four presences are: Ø cognitive presence, Ø human presence, Ø psychological presence and Ø mental presence. Applying the proposed model (STEPP throughout all online and adaptive e-learning environments may improve the process of designing and developing e-learning activities to be used as mindtools for current and future learners.

Fast High-Quality Noise

DEFF Research Database (Denmark)

Frisvad, Jeppe Revall; Wyvill, Geoff

2007-01-01

At the moment the noise functions available in a graphics programmer's toolbox are either slow to compute or they involve grid-line artifacts making them of lower quality. In this paper we present a real-time noise computation with no grid-line artifacts or other regularity problems. In other words......, we put a new tool in the box that computes fast high-quality noise. In addition to being free of artifacts, the noise we present does not rely on tabulated data (everything is computed on the fly) and it is easy to adjust quality vs. quantity for the noise. The noise is based on point rendering (like...... spot noise), but it extends to more than two dimensions. The fact that it is based on point rendering makes art direction of the noise much easier....

Assuring quality in high-consequence engineering

Energy Technology Data Exchange (ETDEWEB)

Hoover, Marcey L.; Kolb, Rachel R.

2014-03-01

In high-consequence engineering organizations, such as Sandia, quality assurance may be heavily dependent on staff competency. Competency-dependent quality assurance models are at risk when the environment changes, as it has with increasing attrition rates, budget and schedule cuts, and competing program priorities. Risks in Sandia's competency-dependent culture can be mitigated through changes to hiring, training, and customer engagement approaches to manage people, partners, and products. Sandia's technical quality engineering organization has been able to mitigate corporate-level risks by driving changes that benefit all departments, and in doing so has assured Sandia's commitment to excellence in high-consequence engineering and national service.

Coupled dictionary learning for joint MR image restoration and segmentation

Science.gov (United States)

Yang, Xuesong; Fan, Yong

2018-03-01

To achieve better segmentation of MR images, image restoration is typically used as a preprocessing step, especially for low-quality MR images. Recent studies have demonstrated that dictionary learning methods could achieve promising performance for both image restoration and image segmentation. These methods typically learn paired dictionaries of image patches from different sources and use a common sparse representation to characterize paired image patches, such as low-quality image patches and their corresponding high quality counterparts for the image restoration, and image patches and their corresponding segmentation labels for the image segmentation. Since learning these dictionaries jointly in a unified framework may improve the image restoration and segmentation simultaneously, we propose a coupled dictionary learning method to concurrently learn dictionaries for joint image restoration and image segmentation based on sparse representations in a multi-atlas image segmentation framework. Particularly, three dictionaries, including a dictionary of low quality image patches, a dictionary of high quality image patches, and a dictionary of segmentation label patches, are learned in a unified framework so that the learned dictionaries of image restoration and segmentation can benefit each other. Our method has been evaluated for segmenting the hippocampus in MR T1 images collected with scanners of different magnetic field strengths. The experimental results have demonstrated that our method achieved better image restoration and segmentation performance than state of the art dictionary learning and sparse representation based image restoration and image segmentation methods.

The quality of procedures to assess and credit prior learning: Implications for design.

NARCIS (Netherlands)

Joosten-ten Brinke, Desirée; Sluijsmans, Dominique; Brand-Gruwel, Saskia; Jochems, Wim

2008-01-01

Joosten-ten Brinke, D., Sluijsmans, D. M. A., Brand-Gruwel, S., & Jochems, W. M. G. (2008). The quality of procedures to assess and credit prior learning: Implications for design. Educational Research Review, 3, 51-65. doi:10.1016/j.edurev.2007.08.001.

Status of e-Learning Quality in Kenya: Case of Jomo Kenyatta University of Agriculture and Technology Postgraduate Students

Science.gov (United States)

Hadullo, Kennedy; Oboko, Robert; Omwenga, Elijah

2018-01-01

There is a substantial increase in the use of learning management systems (LMSs) to support e-learning in higher education institutions, particularly in developing countries. This has been done with some measures of success and failure as well. There is evidence from literature that the provision of e-learning faces several quality issues relating…

Beyond Effectiveness: A Pragmatic Evaluation Framework for Learning and Continuous Quality Improvement of e-Learning Interventions in Healthcare.

Science.gov (United States)

Dafalla, Tarig Dafalla Mohamed; Kushniruk, Andre W; Borycki, Elizabeth M

2015-01-01

A pragmatic evaluation framework for evaluating the usability and usefulness of an e-learning intervention for a patient clinical information scheduling system is presented in this paper. The framework was conceptualized based on two different but related concepts (usability and usefulness) and selection of appropriate and valid methods of data collection and analysis that included: (1) Low-Cost Rapid Usability Engineering (LCRUE), (2) Cognitive Task Analysis (CTA), (3) Heuristic Evaluation (HE) criteria for web-based learning, and (4) Software Usability Measurement Inventory (SUMI). The results of the analysis showed some areas where usability that were related to General Interface Usability (GIU), instructional design and content was problematic; some of which might account for the poorly rated aspects of usability when subjectively measured. This paper shows that using a pragmatic framework can be a useful way, not only for measuring the usability and usefulness, but also for providing a practical objective evidences for learning and continuous quality improvement of e-learning systems. The findings should be of interest to educators, developers, designers, researchers, and usability practitioners involved in the development of e-learning systems in healthcare. This framework could be an appropriate method for assessing the usability, usefulness and safety of health information systems both in the laboratory and in the clinical context.

Teaching Quality, Learning Satisfaction, and Academic Performance among Hospitality Students in Taiwan

Science.gov (United States)

Ko, Wen-Hwa; Chung, Feng-Ming

2014-01-01

The purpose of this study is to examine the effect of the teaching quality of culinary arts teachers and student learning satisfaction on the academic performance of hospitality students. This study surveys the students in hospitality departments at universities in Taiwan. A total of 406 (81.2%) valid questionnaires were received. Research results…

A high throughput DNA extraction method with high yield and quality

Directory of Open Access Journals (Sweden)

Xin Zhanguo

2012-07-01

Full Text Available Abstract Background Preparation of large quantity and high quality genomic DNA from a large number of plant samples is a major bottleneck for most genetic and genomic analyses, such as, genetic mapping, TILLING (Targeting Induced Local Lesion IN Genome, and next-generation sequencing directly from sheared genomic DNA. A variety of DNA preparation methods and commercial kits are available. However, they are either low throughput, low yield, or costly. Here, we describe a method for high throughput genomic DNA isolation from sorghum [Sorghum bicolor (L. Moench] leaves and dry seeds with high yield, high quality, and affordable cost. Results We developed a high throughput DNA isolation method by combining a high yield CTAB extraction method with an improved cleanup procedure based on MagAttract kit. The method yielded large quantity and high quality DNA from both lyophilized sorghum leaves and dry seeds. The DNA yield was improved by nearly 30 fold with 4 times less consumption of MagAttract beads. The method can also be used in other plant species, including cotton leaves and pine needles. Conclusion A high throughput system for DNA extraction from sorghum leaves and seeds was developed and validated. The main advantages of the method are low cost, high yield, high quality, and high throughput. One person can process two 96-well plates in a working day at a cost of $0.10 per sample of magnetic beads plus other consumables that other methods will also need.

Pharmacist work stress and learning from quality related events.

Science.gov (United States)

Boyle, Todd A; Bishop, Andrea; Morrison, Bobbi; Murphy, Andrea; Barker, James; Ashcroft, Darren M; Phipps, Denham; Mahaffey, Thomas; MacKinnon, Neil J

2016-01-01

Among the many stresses faced by pharmacy staff, quality related event (QRE) learning can be among the most significant. In the absence of a supportive organizational culture, the potential for blaming individuals, versus identifying key process flaws, is significant and can be very intimidating to those involved in such discussions and may increase an already stressful work environment. This research develops and tests a model of the relationship between the work stress faced by pharmacists and the extent of QRE learning in community pharmacies. Building upon recent research models that explore job characteristics and safety climate, the model proposes that work stress captured by the effort that the pharmacist invests into job performance, the extent to which the pharmacist is rewarded for such efforts, and the extent of pharmacist work-related commitment to their job, influence pharmacist assessment of the working conditions within their community pharmacy. It is further proposed that working conditions influence the extent of a blame culture and safety focus in the pharmacy, which, in turn, influences organizational learning from QREs. This research formed part of a larger study focused on QRE reporting in community pharmacies. As part of the larger study, a total of 1035 questionnaires were mailed to community pharmacists, pharmacy managers, and pharmacy owners in the Canadian province of Saskatchewan during the fall of 2013 and winter and spring of 2014. Partial least squares (PLS) using SmartPLS was selected to test and further develop the proposed model. An examination of the statistical significance of latent variable paths, convergent validity, construct reliability, discriminant validity, and variance explained was used to assess the overall quality of the model. Of the 1035 questionnaire sent, a total of 432 questionnaires were returned for an initial response rate of approximately 42%. However, for this research, only questionnaires from staff

Learning to discover: machine learning in high-energy physics

CERN Multimedia

CERN. Geneva

2014-01-01

In this talk we will survey some of the latest developments in machine learning research through the optics of potential applications in high-energy physics. We will then describe three ongoing projects in detail. The main subject of the talk is the data challenge we are organizing with ATLAS on optimizing the discovery significance for the Higgs to tau-tau channel. Second, we describe our collaboration with the LHCb experiment on designing and optimizing fast multi-variate techniques that can be implemented as online classifiers in triggers. Finally, we will sketch a relatively young project with the ILC (Calice) group in which we are attempting to apply deep learning techniques for inference on imaging calorimeter data.

Machine Learning Control For Highly Reconfigurable High-Order Systems

Science.gov (United States)

2015-01-02

calibration and applications,” Mechatronics and Embedded Systems and Applications (MESA), 2010 IEEE/ASME International Conference on, IEEE, 2010, pp. 38–43...AFRL-OSR-VA-TR-2015-0012 MACHINE LEARNING CONTROL FOR HIGHLY RECONFIGURABLE HIGH-ORDER SYSTEMS John Valasek TEXAS ENGINEERING EXPERIMENT STATION...DIMENSIONAL RECONFIGURABLE SYSTEMS FA9550-11-1-0302 Period of Performance 1 July 2011 – 29 September 2014 John Valasek Aerospace Engineering

Concrete Waste Recycling Process for High Quality Aggregate

International Nuclear Information System (INIS)

Ishikura, Takeshi; Fujii, Shin-ichi

2008-01-01

Large amount of concrete waste generates during nuclear power plant (NPP) dismantling. Non-contaminated concrete waste is assumed to be disposed in a landfill site, but that will not be the solution especially in the future, because of decreasing tendency of the site availability and natural resources. Concerning concrete recycling, demand for roadbeds and backfill tends to be less than the amount of dismantled concrete generated in a single rural site, and conventional recycled aggregate is limited of its use to non-structural concrete, because of its inferior quality to ordinary natural aggregate. Therefore, it is vital to develop high quality recycled aggregate for general uses of dismantled concrete. If recycled aggregate is available for high structural concrete, the dismantling concrete is recyclable as aggregate for industry including nuclear field. Authors developed techniques on high quality aggregate reclamation for large amount of concrete generated during NPP decommissioning. Concrete of NPP buildings has good features for recycling aggregate; large quantity of high quality aggregate from same origin, record keeping of the aggregate origin, and little impurities in dismantled concrete such as wood and plastics. The target of recycled aggregate in this development is to meet the quality criteria for NPP concrete as prescribed in JASS 5N 'Specification for Nuclear Power Facility Reinforced Concrete' and JASS 5 'Specification for Reinforced Concrete Work'. The target of recycled aggregate concrete is to be comparable performance with ordinary aggregate concrete. The high quality recycled aggregate production techniques are assumed to apply for recycling for large amount of non-contaminated concrete. These techniques can also be applied for slightly contaminated concrete dismantled from radiological control area (RCA), together with free release survey. In conclusion: a technology on dismantled concrete recycling for high quality aggregate was developed

Framing and Enhancing Distributed Leadership in the Quality Management of Online Learning Environments in Higher Education

Science.gov (United States)

Holt, Dale; Palmer, Stuart; Gosper, Maree; Sankey, Michael; Allan, Garry

2014-01-01

This article reports on the findings of senior leadership interviews in a nationally funded project on distributed leadership in the quality management of online learning environments (OLEs) in higher education. Questions were framed around the development of an OLE quality management framework and the situation of the characteristics of…

Housing Quality and Access to Material and Learning Resources within the Home Environment in Developing Countries

Science.gov (United States)

Bradley, Robert H.; Putnick, Diane L.

2012-01-01

This study examined home environment conditions (housing quality, material resources, formal and informal learning materials) and their relations with the Human Development Index (HDI) in 28 developing countries. Home environment conditions in these countries varied widely. The quality of housing and availability of material resources at home were…

Adventures in Citizen Science: Lessons learned engaging volunteer water quality monitors for over 30 years.

Science.gov (United States)

Schloss, J. A.

2012-12-01

The New Hampshire Lakes Lay Monitoring Program was originally designed by faculty at the University of New Hampshire in 1979 to provide the capacity to better monitor for long-term lake water quality changes and trends. As participants became educated, empowered and engaged the program soon evolved to also become a participatory research enterprise. This resulted in not only providing useful information for informed local stewardship and protection at the local level but also for state and region-wide decision-making, state and federal assessments/reporting and advancing our understanding of lake and watershed science. Our successes and failures have been more dependent on understanding the particular human dimensions that influence our volunteers and less to do with the typical project management, quality assurance, and communication concerns we typically deal with in professional based research efforts. Our participants are extremely diverse in terms of their life experiences, interests and motivations so the key to long-term commitment and high quality participation is understanding the difference between a citizen monitor and your archetypical research technician or student. This presentation will highlight some important lessons learned on how to involve various types of volunteers from school groups to retirees, as well as particular approaches and concerns regarding program management, retention, quality control and communications.

The effect of errorless learning on quality of life in patients with Korsakoff’s syndrome

Directory of Open Access Journals (Sweden)

Rensen YCM

2017-11-01

Full Text Available Yvonne CM Rensen,1 Jos IM Egger,2,3 Josette Westhoff,1 Serge JW Walvoort,1 Roy PC Kessels1,3,4 1Center of Excellence for Korsakoff and Alcohol-Related Cognitive Disorders, Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands; 2Center of Excellence for Neuropsychiatry, Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands; 3Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, 4Department of Medical Psychology, Radboud University Medical Center, Nijmegen, the Netherlands Background: Errorless learning (EL is a promising rehabilitation principle for (relearning instrumental activities in patients with amnesia, including patients with Korsakoff’s syndrome (KS. Successfully (relearning tasks might improve the sense of competence and independence, and subsequently the quality of life. Quality of life in patients with KS has received limited attention, and no studies have been conducted to experimentally examine the effect of EL on quality of life in patients in this patient group. Materials and methods: The QUALIDEM, an observation scale for quality of life, was completed by professional nurses before and after EL training in a group of fifty-one patients with KS. This scale was also completed for a group of thirty-one control patients receiving care as usual but no EL training. Results: Quality of life was significantly increased on eight of the nine subscales in the Korsakoff group who participated in an EL training. There was a trend toward a significant increase in “positive affect” (ie, the ninth subscale. In contrast, no changes over time were found on any of the subscales in the control group that did not participate in any EL training. Conclusion: Despite severe memory impairments, patients with KS still have the potential to (partially (relearn tasks using EL. This potential should be exploited, as the successes of (re-learning might improve the quality of life of Korsakoff

Ensuring Quality Assurance in Vocational Education

Science.gov (United States)

Idialu, Ethel E.

2013-01-01

Vocational education emphasises skill acquisition. Quality assurance in vocational education is a concept that is concerned with high performance involving activities with vocational education such as teaching, learning, infrastructures, students' behaviour and the entire academic process. Quality vocational education refers to input and output of…

Student Groups as Learning Entities: The Effect of Group Diversity and Teamwork Quality on Groups' Cognitive Complexity

Science.gov (United States)

Curseu, Petru L.; Pluut, Helen

2013-01-01

Collaborative learning has important group-level benefits, yet most studies in higher education only focus on individual benefits of collaborative learning experiences. This study extends these insights by testing a model in which teamwork quality mediates the impact of several compositional differences (gender, nationality and teamwork expertise…

“The Rules of Engagement”: Student Engagement and Motivation to Improve the Quality of Undergraduate Learning

Directory of Open Access Journals (Sweden)

Rowena M. Senior

2018-05-01

Full Text Available Studying at university continues to grow in popularity and the modern-day university has expanded considerably to meet this need. Invariably as such expansion occurs pressures arise on a range of quality enhancement processes. This may have serious implications for the continued delivery of high quality learning experiences that both meet the expectations of incoming students and are appropriate to their postgraduation aspirations. Ensuring students become active partners in their learning will encourage them to engage with a range of quality enhancement processes. The aim of the current work is to examine the various factors that motivate students to engage in such a fashion. Three focus groups were carried out in a stratified manner to ascertain student motivations and to triangulate an effective set of recommendations for subsequent practice. The participants consisted of engaged and non-engaged first year undergraduate students as well as student-facing staff who were asked to comment on their experiences as to why students would want to engage as a course representative. Nominal group technique was applied to the emerging thematic data in each group. Three key motivational themes emerged that overlapped across all focus groups i.e., a need for individual representation that makes a change, a desire to develop a professional skillset as well as a desire to gain a better understanding of their course of study. A university that aligns its student experience along these themes is likely to facilitate student representation. As is standard practice recommendations for future work are described alongside a discussion of the limitations.

Conditions for excellence in teaching in medical education: The Frankfurt Model to ensure quality in teaching and learning

Directory of Open Access Journals (Sweden)

Giesler, Marianne

2017-10-01

Full Text Available Background: There is general consensus that the organizational and administrative aspects of academic study programs exert an important influence on teaching and learning. Despite this, no comprehensive framework currently exists to describe the conditions that affect the quality of teaching and learning in medical education. The aim of this paper is to systematically and comprehensively identify these factors to offer academic administrators and decision makers interested in improving teaching a theory-based and, to an extent, empirically founded framework on the basis of which improvements in teaching quality can be identified and implemented.Method: Primarily, the issue was addressed by combining a theory-driven deductive approach with an experience based, “best evidence” one during the course of two workshops held by the GMA Committee on Personnel and Organizational Development in Academic Teaching (POiL in Munich (2013 and Frankfurt (2014. Two models describing the conditions relevant to teaching and learning (Euler/Hahn and Rindermann were critically appraised and synthesized into a new third model. Practical examples of teaching strategies that promote or hinder learning were compiled and added to the categories of this model and, to the extent possible, supported with empirical evidence.Based on this, a checklist with recommendations for optimizing general academic conditions was formulated.Results: The covers six categories: and These categories have been supplemented by the interests, motives and abilities of the actual teachers and students in this particular setting. The categories of this model provide the structure for a checklist in which recommendations for optimizing teaching are given.Conclusions: The checklist derived from the Frankfurt Model for ensuring quality in teaching and learning can be used for quality assurance and to improve the conditions under which teaching and learning take place in medical schools.

Discourse-Centric Learning Analytics: Mapping the Terrain

Science.gov (United States)

Knight, Simon; Littleton, Karen

2015-01-01

There is an increasing interest in developing learning analytic techniques for the analysis, and support of, high-quality learning discourse. This paper maps the terrain of discourse-centric learning analytics (DCLA), outlining the distinctive contribution of DCLA and outlining a definition for the field moving forwards. It is our claim that DCLA…

Burnout and quality of life among orthopaedic trainees in a modern educational programme: importance of the learning climate.

Science.gov (United States)

van Vendeloo, S N; Brand, P L P; Verheyen, C C P M

2014-08-01

We aimed to determine quality of life and burnout among Dutch orthopaedic trainees following a modern orthopaedic curriculum, with strict compliance to a 48-hour working week. We also evaluated the effect of the clinical climate of learning on their emotional well-being. We assessed burnout, quality of life and the clinical climate of learning in 105 orthopaedic trainees using the Maslach Burnout Inventory, linear analogue scale self-assessments, and Dutch Residency Educational Climate Test (D-RECT), respectively. A total of 19 trainees (18%) had poor quality of life and 49 (47%) were dissatisfied with the balance between their personal and professional life. Some symptoms of burnout were found in 29 trainees (28%). Higher D-RECT scores (indicating a better climate of learning) were associated with a better quality of life (r = 0.31, p = 0.001), more work-life balance satisfaction (r = 0.31, p = 0.002), fewer symptoms of emotional exhaustion (r = -0.21, p = 0.028) and depersonalisation (r = -0,28, p = 0.04). A reduced quality of life with evidence of burnout were still seen in a significant proportion of orthopaedic trainees despite following a modern curriculum with strict compliance to a 48-hour working week. It is vital that further work is undertaken to improve the quality of life and reduce burnout in this cohort. ©2014 The British Editorial Society of Bone & Joint Surgery.

Attributes of quality programs in universities in developing countries: Case studies of two private universities in Ecuador and beyond

Science.gov (United States)

Uriguen, Monica I.

This study sought to identify the key attributes of high-quality programs with an eye toward helping developing countries such as Ecuador advance program quality. The dissertation is divided into five chapters: (1) introduction to high-quality programs; (2) literature review of attributes of high-quality programs; (3) grounded theory method (including interviews with 60 individuals) used to identify program attributes that enhance student learning; (4) findings; and (5) conclusions and recommendations. Following are the five clusters and thirteen attributes of high-quality programs that I identified: Cluster One: Highly Qualified Participants: (1) Highly Qualified Faculty, and (2) Highly Qualified Students; Cluster Two: Learning-Centered Cultures: (3) Shared Program Direction Focused on Learning, (4) Real-World Learning Experiences, (5) Reading-Centered Culture, and (6) Supportive and Risk-Taking Environment; Cluster Three: Interactive Teaching and Learning: (7) Integrative learning: Theory with Practice, Self with Subject, and (8) Exclusive Tutoring and Mentoring; Cluster Four: Connected Program Requirements: (9) Planned Breadth and Depth Course Work, and (10) Tangible Products; and Cluster Five: Adequate Resources: (11) Support for Students, (12) Support for Faculty, and (13) Support for Campus Infrastructure. The study was guided by Haworth and Conrad's (1997) "Engagement Theory of High-Quality Programs." Eleven of the attributes of high-quality programs are closely connected to Haworth and Conrad's theory and the other two attributes---real-world learning experiences and a reading-centered culture---make the signature theoretical contributions of the study. Real-world learning experiences encourage the active involvement of stakeholders in designing curricula with real-world learning experiences. The second attribute---a reading-centered culture---has never before been identified in the literature. There are four key differences between Haworth and Conrad

Students’ Learning Obstacles and Alternative Solution in Counting Rules Learning Levels Senior High School

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M A Jatmiko

2017-12-01

Full Text Available The counting rules is a topic in mathematics senior high school. In the learning process, teachers often find students who have difficulties in learning this topic. Knowing the characteristics of students' learning difficulties and analyzing the causes is important for the teacher, as an effort in trying to reflect the learning process and as a reference in constructing alternative learning solutions which appropriate to anticipate students’ learning obstacles. This study uses qualitative methods and involves 70 students of class XII as research subjects. The data collection techniques used in this study is diagnostic test instrument about learning difficulties in counting rules, observation, and interview. The data used to know the learning difficulties experienced by students, the causes of learning difficulties, and to develop alternative learning solutions. From the results of data analysis, the results of diagnostic tests researcher found some obstacles faced by students, such as students get confused in describing the definition, students difficulties in understanding the procedure of solving multiplication rules. Based on those problems, researcher analyzed the causes of these difficulties and make hypothetical learning trajectory as an alternative solution in counting rules learning.

Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review.

Science.gov (United States)

Issenberg, S Barry; McGaghie, William C; Petrusa, Emil R; Lee Gordon, David; Scalese, Ross J

2005-01-01

1969 to 2003, 34 years. Simulations are now in widespread use in medical education and medical personnel evaluation. Outcomes research on the use and effectiveness of simulation technology in medical education is scattered, inconsistent and varies widely in methodological rigor and substantive focus. Review and synthesize existing evidence in educational science that addresses the question, 'What are the features and uses of high-fidelity medical simulations that lead to most effective learning?'. The search covered five literature databases (ERIC, MEDLINE, PsycINFO, Web of Science and Timelit) and employed 91 single search terms and concepts and their Boolean combinations. Hand searching, Internet searches and attention to the 'grey literature' were also used. The aim was to perform the most thorough literature search possible of peer-reviewed publications and reports in the unpublished literature that have been judged for academic quality. Four screening criteria were used to reduce the initial pool of 670 journal articles to a focused set of 109 studies: (a) elimination of review articles in favor of empirical studies; (b) use of a simulator as an educational assessment or intervention with learner outcomes measured quantitatively; (c) comparative research, either experimental or quasi-experimental; and (d) research that involves simulation as an educational intervention. Data were extracted systematically from the 109 eligible journal articles by independent coders. Each coder used a standardized data extraction protocol. Qualitative data synthesis and tabular presentation of research methods and outcomes were used. Heterogeneity of research designs, educational interventions, outcome measures and timeframe precluded data synthesis using meta-analysis. Coding accuracy for features of the journal articles is high. The extant quality of the published research is generally weak. The weight of the best available evidence suggests that high-fidelity medical

Conditional High-Order Boltzmann Machines for Supervised Relation Learning.

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Huang, Yan; Wang, Wei; Wang, Liang; Tan, Tieniu

2017-09-01

Relation learning is a fundamental problem in many vision tasks. Recently, high-order Boltzmann machine and its variants have shown their great potentials in learning various types of data relation in a range of tasks. But most of these models are learned in an unsupervised way, i.e., without using relation class labels, which are not very discriminative for some challenging tasks, e.g., face verification. In this paper, with the goal to perform supervised relation learning, we introduce relation class labels into conventional high-order multiplicative interactions with pairwise input samples, and propose a conditional high-order Boltzmann Machine (CHBM), which can learn to classify the data relation in a binary classification way. To be able to deal with more complex data relation, we develop two improved variants of CHBM: 1) latent CHBM, which jointly performs relation feature learning and classification, by using a set of latent variables to block the pathway from pairwise input samples to output relation labels and 2) gated CHBM, which untangles factors of variation in data relation, by exploiting a set of latent variables to multiplicatively gate the classification of CHBM. To reduce the large number of model parameters generated by the multiplicative interactions, we approximately factorize high-order parameter tensors into multiple matrices. Then, we develop efficient supervised learning algorithms, by first pretraining the models using joint likelihood to provide good parameter initialization, and then finetuning them using conditional likelihood to enhance the discriminant ability. We apply the proposed models to a series of tasks including invariant recognition, face verification, and action similarity labeling. Experimental results demonstrate that by exploiting supervised relation labels, our models can greatly improve the performance.

Blended Learning Based on Schoology: Effort of Improvement Learning Outcome and Practicum Chance in Vocational High School

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Irawan, Vincentius Tjandra; Sutadji, Eddy; Widiyanti

2017-01-01

The aims of this study were to determine: (1) the differences in learning outcome between Blended Learning based on Schoology and Problem-Based Learning, (2) the differences in learning outcome between students with prior knowledge of high, medium, and low, and (3) the interaction between Blended Learning based on Schoology and prior knowledge to…

Teaching Quality Object-Oriented Programming

Science.gov (United States)

Feldman, Yishai A.

2005-01-01

Computer science students need to learn how to write high-quality software. An important methodology for achieving quality is design-by-contract, in which code is developed together with its specification, which is given as class invariants and method pre- and postconditions. This paper describes practical experience in teaching design-by-contract…

Joint Machine Learning and Game Theory for Rate Control in High Efficiency Video Coding.

Science.gov (United States)

Gao, Wei; Kwong, Sam; Jia, Yuheng

2017-08-25

In this paper, a joint machine learning and game theory modeling (MLGT) framework is proposed for inter frame coding tree unit (CTU) level bit allocation and rate control (RC) optimization in High Efficiency Video Coding (HEVC). First, a support vector machine (SVM) based multi-classification scheme is proposed to improve the prediction accuracy of CTU-level Rate-Distortion (R-D) model. The legacy "chicken-and-egg" dilemma in video coding is proposed to be overcome by the learning-based R-D model. Second, a mixed R-D model based cooperative bargaining game theory is proposed for bit allocation optimization, where the convexity of the mixed R-D model based utility function is proved, and Nash bargaining solution (NBS) is achieved by the proposed iterative solution search method. The minimum utility is adjusted by the reference coding distortion and frame-level Quantization parameter (QP) change. Lastly, intra frame QP and inter frame adaptive bit ratios are adjusted to make inter frames have more bit resources to maintain smooth quality and bit consumption in the bargaining game optimization. Experimental results demonstrate that the proposed MLGT based RC method can achieve much better R-D performances, quality smoothness, bit rate accuracy, buffer control results and subjective visual quality than the other state-of-the-art one-pass RC methods, and the achieved R-D performances are very close to the performance limits from the FixedQP method.

CYBERNETICS AND GEOGRAPHICAL EDUCATION: CYBERNETICS OF LEARNING AND LEARNING OF CYBERNETICS

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M. R. Arpentieva

2017-01-01

Full Text Available Modern geographical education implies a broad implementation of innovative technologies, allowing students to fully and deeply understand the subject and methods of professional activity, and effectively and productively act upon this understanding. Therefore, in the work of modern geographer computer and media technologies occupy a significant place, and geographic education occupies an important place in learning cybernetic disciplines: computer technologies act as an important condition for obtaining high quality professional education, as well as an important tool of professional activity of modern specialist-geographer. The article is devoted to comparing three modern approaches to the study and optimization of training Cybernetics and programming in the framework of geographical education: an approach devoted to the study of “learning styles”; the metacognitive approach to learning computer science and programming; and intersubjective, evergetic or actually cybernetic, approach. It describes their advantages and limitations in the context of geographical education, as well as the internal unity as different forms of study of productivity and conditions of the dialogical interaction between teacher and student in the context of obtaining high-quality geographical education.

Legality, Quality Assurance and Learning: Competing Discourses of Plagiarism Management in Higher Education

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Sutherland-Smith, Wendy

2014-01-01

In universities around the world, plagiarism management is an ongoing issue of quality assurance and risk management. Plagiarism management discourses are often framed by legal concepts of authorial rights, and plagiarism policies outline penalties for infringement. Learning and teaching discourses argue that plagiarism management is, and should…

Virtual Learning Simulations in High School

DEFF Research Database (Denmark)

Thisgaard, Malene Warming; Makransky, Guido

2017-01-01

The present study compared the value of using a virtual learning simulation compared to traditional lessons on the topic of evolution, and investigated if the virtual learning simulation could serve as a catalyst for STEM academic and career development, based on social cognitive career theory....... The investigation was conducted using a crossover repeated measures design based on a sample of 128 high school biology/biotech students. The results showed that the virtual learning simulation increased knowledge of evolution significantly, compared to the traditional lesson. No significant differences between...... the simulation and lesson were found in their ability to increase the non-cognitive measures. Both interventions increased self-efficacy significantly, and none of them had a significant effect on motivation. In addition, the results showed that the simulation increased interest in biology related tasks...

The High Flying Leadership Qualities: What Matters the Most

Science.gov (United States)

2016-04-01

operational and functional background of its personnel steeped in both DoD and industry experience. Research Methodology Based on their experiences...DeLorean Motors, Levitz Furniture , Enron, and many other corporations like these learned what happens when key leadership qualities lose all lift...graduate of the Canadian Force Command and Staff College in Toronto, Ontario, Canada; and the U.S. Army War College in Carlisle Barracks

Using Online Learning for At-Risk Students and Credit Recovery. Promising Practices in Online Learning

Science.gov (United States)

Watson, John; Gemin, Butch

2008-01-01

Online learning programs are designed to expand high-quality educational opportunities and to meet the needs of diverse students. While the primary reason online courses are offered in school districts is to expand offerings to courses that would otherwise be unavailable, the second most commonly cited reason for offering online learning is to…

Development of innovative problem based learning model with PMRI-scientific approach using ICT to increase mathematics literacy and independence-character of junior high school students

Science.gov (United States)

Wardono; Waluya, B.; Kartono; Mulyono; Mariani, S.

2018-03-01

This research is very urgent in relation to the national issue of human development and the nation's competitiveness because of the ability of Indonesian Junior High School students' mathematics literacy results of the Programme for International Student Assessment (PISA) by OECD field of Mathematics is still very low compared to other countries. Curriculum 2013 launched one of them reflect the results of PISA which is still far from the expectations of the Indonesian nation and to produce a better quality of education, PISA ratings that reflect the nation's better competitiveness need to be developed innovative, interactive learning models such as innovative interactive learning Problem Based Learning (PBL) based on the approach of Indonesian Realistic Mathematics Education (PMRI) and the Scientific approach using Information and Communication Technology (ICT).The research was designed using Research and Development (R&D), research that followed up the development and dissemination of a product/model. The result of the research shows the innovative interactive learning PBL model based on PMRI-Scientific using ICT that developed valid, practical and effective and can improve the ability of mathematics literacy and independence-character of junior high school students. While the quality of innovative interactive learning PBL model based on PMRI-Scientific using ICT meet the good category.

Effect of forage quality in faeces from different ruminant species fed high and low quality forage

DEFF Research Database (Denmark)

Jalali, A R; Nørgaard, P; Nielsen, M O

2010-01-01

Effect of forage quality in faeces from different ruminant species fed high and low quality forage......Effect of forage quality in faeces from different ruminant species fed high and low quality forage...

Information-seeking behavior during residency is associated with quality of theoretical learning, academic career achievements, and evidence-based medical practice: a strobe-compliant article.

Science.gov (United States)

Oussalah, Abderrahim; Fournier, Jean-Paul; Guéant, Jean-Louis; Braun, Marc

2015-02-01

Data regarding knowledge acquisition during residency training are sparse. Predictors of theoretical learning quality, academic career achievements and evidence-based medical practice during residency are unknown. We performed a cross-sectional study on residents and attending physicians across several residency programs in 2 French faculties of medicine. We comprehensively evaluated the information-seeking behavior (I-SB) during residency using a standardized questionnaire and looked for independent predictors of theoretical learning quality, academic career achievements, and evidence-based medical practice among I-SB components using multivariate logistic regression analysis. Between February 2013 and May 2013, 338 fellows and attending physicians were included in the study. Textbooks and international medical journals were reported to be used on a regular basis by 24% and 57% of the respondents, respectively. Among the respondents, 47% refer systematically (4.4%) or frequently (42.6%) to published guidelines from scientific societies upon their publication. The median self-reported theoretical learning quality score was 5/10 (interquartile range, 3-6; range, 1-10). A high theoretical learning quality score (upper quartile) was independently and strongly associated with the following I-SB components: systematic reading of clinical guidelines upon their publication (odds ratio [OR], 5.55; 95% confidence interval [CI], 1.77-17.44); having access to a library that offers the leading textbooks of the specialty in the medical department (OR, 2.45, 95% CI, 1.33-4.52); knowledge of the specialty leading textbooks (OR, 2.12; 95% CI, 1.09-4.10); and PubMed search skill score ≥5/10 (OR, 1.94; 95% CI, 1.01-3.73). Research Master (M2) and/or PhD thesis enrolment were independently and strongly associated with the following predictors: PubMed search skill score ≥5/10 (OR, 4.10; 95% CI, 1.46-11.53); knowledge of the leading medical journals of the specialty (OR, 3.33; 95

TECHNICAL AND PEDAGOGICAL SERVICE QUALITY OF E-LEARNING: a research framework for the development of a systematic means of identification and adaptation testing

Directory of Open Access Journals (Sweden)

Chaminda Chiran Jayasundara

2009-11-01

Full Text Available This paper discusses a research framework that can be applied to develop and measure technical and pedagogical service quality of e-leaning in Sri Lankan phenomenon. This study is an in-depth empirical investigation which seeks to build up an instrument to predict technical and pedagogical service quality of e-learning in Sri Lanka. The specific objectives are to investigate what comprises technical and pedagogical service quality of e-learning: to establish a deeper understanding of the phenomenon to identify effective technical and pedagogical dimensions of: e-learning on user perspectives and finally to develop a scale: to fill the gap detected in the area of assessing/measuring Technical and pedagogical service quality of e- Leaning which can be used by designers and practitioners in the field of e-learning. A comprehensive methodology will be used to design the instrument.

TOTAL QUALITY MANAGEMENT IN HIGH EDUCATION

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Hasan SERİN, Alper AYTEKİN

2009-01-01

Full Text Available The approach of Total Quality Management (TQM has been even more common and most recently its use in high education has been discussed. Likewise the enterprises producing various products, universities have also inputs, processes, and outputs. Due to conditions of competition, universities have to improve the qualities of these inputs, processes, and outputs, according to satisfaction, demands, and expectations of internal and external customers. If the TQM has been implemented in the universities with a manner that aims for customer satisfaction (students, lecturers, public and private establishments, and families, supports constant development, ensures participatory approach, and encourages working in groups, it will provide universities with effectiveness, efficiency, dynamics, and economics. In this study, common problems of universities, definitions of quality and TQM in high education, customer concept at universities, and factors affecting the quality of education have been explained. Besides, in order TQM approach to be successfully implemented in the universities, various suggestions have been presented.

Active Learning Strategies for Phenotypic Profiling of High-Content Screens.

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Smith, Kevin; Horvath, Peter

2014-06-01

High-content screening is a powerful method to discover new drugs and carry out basic biological research. Increasingly, high-content screens have come to rely on supervised machine learning (SML) to perform automatic phenotypic classification as an essential step of the analysis. However, this comes at a cost, namely, the labeled examples required to train the predictive model. Classification performance increases with the number of labeled examples, and because labeling examples demands time from an expert, the training process represents a significant time investment. Active learning strategies attempt to overcome this bottleneck by presenting the most relevant examples to the annotator, thereby achieving high accuracy while minimizing the cost of obtaining labeled data. In this article, we investigate the impact of active learning on single-cell-based phenotype recognition, using data from three large-scale RNA interference high-content screens representing diverse phenotypic profiling problems. We consider several combinations of active learning strategies and popular SML methods. Our results show that active learning significantly reduces the time cost and can be used to reveal the same phenotypic targets identified using SML. We also identify combinations of active learning strategies and SML methods which perform better than others on the phenotypic profiling problems we studied. © 2014 Society for Laboratory Automation and Screening.

Statistical learning methods in high-energy and astrophysics analysis

Energy Technology Data Exchange (ETDEWEB)

Zimmermann, J. [Forschungszentrum Juelich GmbH, Zentrallabor fuer Elektronik, 52425 Juelich (Germany) and Max-Planck-Institut fuer Physik, Foehringer Ring 6, 80805 Munich (Germany)]. E-mail: zimmerm@mppmu.mpg.de; Kiesling, C. [Max-Planck-Institut fuer Physik, Foehringer Ring 6, 80805 Munich (Germany)

2004-11-21

We discuss several popular statistical learning methods used in high-energy- and astro-physics analysis. After a short motivation for statistical learning we present the most popular algorithms and discuss several examples from current research in particle- and astro-physics. The statistical learning methods are compared with each other and with standard methods for the respective application.

Statistical learning methods in high-energy and astrophysics analysis

International Nuclear Information System (INIS)

Zimmermann, J.; Kiesling, C.

2004-01-01

We discuss several popular statistical learning methods used in high-energy- and astro-physics analysis. After a short motivation for statistical learning we present the most popular algorithms and discuss several examples from current research in particle- and astro-physics. The statistical learning methods are compared with each other and with standard methods for the respective application

Assessing the Quality of the Learning Outcome in Vocational Education: The Expero Model

Science.gov (United States)

Cervai, Sara; Cian, Luca; Berlanga, Alicia; Borelli, Massimo; Kekale, Tauno

2013-01-01

Purpose: This paper aims to present an innovative model to evaluate the quality of the learning outcome in vocational education and training (VET) considering a wide approach that includes, in particular, stakeholders' expectations and perceptions. Design/methodology/approach: The Expero model was implemented in various kinds of vocational schools…

Electronic Learning in the German Science Project "NAWI-Interaktiv"

Science.gov (United States)

Wegner, Claas; Homann, Wiebke; Strehlke, Friederike

2014-01-01

The German science project "NAWI-Interaktiv" is an example of innovative use of E-Learning and new media education. Since 2009, the learning platform provides learners and teachers with high-quality learning tools, teaching material, useful information and E-learning programs for free. This is to raise the pupils' motivation to learn…

Environmental Learning Workshop: Lichen as Biological Indicator of Air Quality and Impact on Secondary Students' Performance

Science.gov (United States)

Samsudin, Mohd Wahid; Daik, Rusli; Abas, Azlan; Meerah, T. Subahan Mohd; Halim, Lilia

2013-01-01

In this study, the learning of science outside the classroom is believe to be an added value to science learning as well as it offers students to interact with the environment. This study presents data obtained from two days' workshop on Lichen as Biological Indicator for Air Quality. The aim of the workshop is for the students to gain an…

Building a quality culture in the Office of Space Flight: Approach, lessons learned and implications for the future

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Roberts, C. Shannon

1992-01-01

The purpose of this paper is to describe the approach and lessons learned by the Office of Space Flight (OSF), National Aeronautics and Space Administration (NASA), in its introduction of quality. In particular, the experience of OSF Headquarters is discussed as an example of an organization within NASA that is considering both the business and human elements of the change and the opportunities the quality focus presents to improve continuously. It is hoped that the insights shared will be of use to those embarking upon similar cultural changes. The paper is presented in the following parts: the leadership challenge; background; context of the approach to quality; initial steps; current initiatives; lessons learned; and implications for the future.

Analysis of high-quality modes in open chaotic microcavities

International Nuclear Information System (INIS)

Fang, W.; Yamilov, A.; Cao, H.

2005-01-01

We present a numerical study of the high-quality modes in two-dimensional dielectric stadium microcavities. Although the classical ray mechanics is fully chaotic in a stadium billiard, all of the high-quality modes show a 'strong scar' around unstable periodic orbits. When the deformation (ratio of the length of the straight segments over the diameter of the half circles) is small, the high-quality modes correspond to whispering-gallery-type trajectories and their quality factors decrease monotonically with increasing deformation. At large deformation, each high-quality mode is associated with multiple unstable periodic orbits. Its quality factor changes nonmonotonically with the deformation, and there exists an optimal deformation for each mode at which its quality factor reaches a local maximum. This unusual behavior is attributed to the interference of waves propagating along different constituent orbits that could minimize light leakage out of the cavity

Machine-Learning Based Channel Quality and Stability Estimation for Stream-Based Multichannel Wireless Sensor Networks

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Waqas Rehan

2016-09-01

Full Text Available Wireless sensor networks (WSNs have become more and more diversified and are today able to also support high data rate applications, such as multimedia. In this case, per-packet channel handshaking/switching may result in inducing additional overheads, such as energy consumption, delays and, therefore, data loss. One of the solutions is to perform stream-based channel allocation where channel handshaking is performed once before transmitting the whole data stream. Deciding stream-based channel allocation is more critical in case of multichannel WSNs where channels of different quality/stability are available and the wish for high performance requires sensor nodes to switch to the best among the available channels. In this work, we will focus on devising mechanisms that perform channel quality/stability estimation in order to improve the accommodation of stream-based communication in multichannel wireless sensor networks. For performing channel quality assessment, we have formulated a composite metric, which we call channel rank measurement (CRM, that can demarcate channels into good, intermediate and bad quality on the basis of the standard deviation of the received signal strength indicator (RSSI and the average of the link quality indicator (LQI of the received packets. CRM is then used to generate a data set for training a supervised machine learning-based algorithm (which we call Normal Equation based Channel quality prediction (NEC algorithm in such a way that it may perform instantaneous channel rank estimation of any channel. Subsequently, two robust extensions of the NEC algorithm are proposed (which we call Normal Equation based Weighted Moving Average Channel quality prediction (NEWMAC algorithm and Normal Equation based Aggregate Maturity Criteria with Beta Tracking based Channel weight prediction (NEAMCBTC algorithm, that can perform channel quality estimation on the basis of both current and past values of channel rank estimation

Machine-Learning Based Channel Quality and Stability Estimation for Stream-Based Multichannel Wireless Sensor Networks.

Science.gov (United States)

Rehan, Waqas; Fischer, Stefan; Rehan, Maaz

2016-09-12

Wireless sensor networks (WSNs) have become more and more diversified and are today able to also support high data rate applications, such as multimedia. In this case, per-packet channel handshaking/switching may result in inducing additional overheads, such as energy consumption, delays and, therefore, data loss. One of the solutions is to perform stream-based channel allocation where channel handshaking is performed once before transmitting the whole data stream. Deciding stream-based channel allocation is more critical in case of multichannel WSNs where channels of different quality/stability are available and the wish for high performance requires sensor nodes to switch to the best among the available channels. In this work, we will focus on devising mechanisms that perform channel quality/stability estimation in order to improve the accommodation of stream-based communication in multichannel wireless sensor networks. For performing channel quality assessment, we have formulated a composite metric, which we call channel rank measurement (CRM), that can demarcate channels into good, intermediate and bad quality on the basis of the standard deviation of the received signal strength indicator (RSSI) and the average of the link quality indicator (LQI) of the received packets. CRM is then used to generate a data set for training a supervised machine learning-based algorithm (which we call Normal Equation based Channel quality prediction (NEC) algorithm) in such a way that it may perform instantaneous channel rank estimation of any channel. Subsequently, two robust extensions of the NEC algorithm are proposed (which we call Normal Equation based Weighted Moving Average Channel quality prediction (NEWMAC) algorithm and Normal Equation based Aggregate Maturity Criteria with Beta Tracking based Channel weight prediction (NEAMCBTC) algorithm), that can perform channel quality estimation on the basis of both current and past values of channel rank estimation. In the end

Promoting Continuous Quality Improvement in the Alabama Child Health Improvement Alliance Through Q-Sort Methodology and Learning Collaboratives.

Science.gov (United States)

Fifolt, Matthew; Preskitt, Julie; Rucks, Andrew; Corvey, Kathryn; Benton, Elizabeth Cason

Q-sort methodology is an underutilized tool for differentiating among multiple priority measures. The authors describe steps to identify, delimit, and sort potential health measures and use selected priority measures to establish an overall agenda for continuous quality improvement (CQI) activities within learning collaboratives. Through an iterative process, the authors vetted a list of potential child and adolescent health measures. Multiple stakeholders, including payers, direct care providers, and organizational representatives sorted and prioritized measures, using Q-methodology. Q-methodology provided the Alabama Child Health Improvement Alliance (ACHIA) an objective and rigorous approach to system improvement. Selected priority measures were used to design learning collaboratives. An open dialogue among stakeholders about state health priorities spurred greater organizational buy-in for ACHIA and increased its credibility as a statewide provider of learning collaboratives. The integrated processes of Q-sort methodology, learning collaboratives, and CQI offer a practical yet innovative way to identify and prioritize state measures for child and adolescent health and establish a learning agenda for targeted quality improvement activities.

e-Learning in medical physics and engineering

International Nuclear Information System (INIS)

Stoeva, M.; Tabakov, S.; Lewis, C.; Tabakova, V.; Sprawls, P.; Milano, F.; Cvetkov, A.

2012-01-01

Full text: Introduction: e-Learning is among the contemporary methods for high quality knowledge exchange in various areas of medicine. Medical Physics/Engineering is one of the leading areas for creating e-content and practical application of e-Learning methods and curricula. Objectives: The objective of this abstract is to present the various e-Learning resources in the field of Medical Physics/Engineering and introduce some of the leading programs worldwide. Material and methods: e-Learning is applied at various levels in Medical Physics/Engineering. These versatile e-Learning methods use different approaches to deliver both general and high quality professional knowledge at virtually any point, thus increasing both the availability of the knowledge and quality of the results. Results and discussion: Medical Physics/ Engineering was among the first professions to develop and apply e-Learning - the Online Medical Physics resources, e-Encyclopaedia (www.emitel2. eu), EMERALD and EMIT materials and the Medical Physics Dictionary. An indicator for this is the first international prize in the field - EU Leonardo da Vinci Award and the increased popularity at all levels - local and international; students and professionals; medical physicists/engineers and other related specialties. Conclusion: The results so far present a solid background and show a perspective for development. Medical Physics/Engineering needs special forum to discuss regularly these questions and exchange expertise.

The connection between teaching and learning: Linking teaching quality and metacognitive strategy use in primary school.

Science.gov (United States)

Rieser, Svenja; Naumann, Alexander; Decristan, Jasmin; Fauth, Benjamin; Klieme, Eckhard; Büttner, Gerhard

2016-12-01

In order for teaching to be successful, students need to be actively involved in learning. However, research on teaching effectiveness often neglects students' learning activities. Although it is assumed that effective teaching promotes the use of beneficial learning activities, empirical evidence for this connection is still limited. This study aimed to investigate the connection between effective teaching and reported learning activities. We hypothesize specific relations between a three-dimensional model of teaching quality (i.e., cognitive activation, supportive climate, and classroom management) and students' reported use of metacognitive strategies. Students' intrinsic motivation is considered as a mediator and a moderator of this connection. N = 1,052 students from 53 German primary school classes and their science teachers participated. Data were collected through classroom or video observation and questionnaires over a period of approximately 2 months. Multilevel analysis was utilized to test our hypotheses. Each dimension of teaching quality positively predicted students' reported use of metacognitive strategies. For supportive climate, this connection was mediated by students' intrinsic motivation. Cognitive activation negatively predicted the slopes between students' reported metacognitive strategy use and motivation. The results support the notion that effective teaching is connected to learning activities and stress the importance of students' learning motivation. Results from the cross-level interaction could indicate that especially less motivated students' reported metacognitive strategy use might be supported by cognitively activating teaching. © 2016 The British Psychological Society.

Mobile learning and high-lighting language education

DEFF Research Database (Denmark)

Vinther, Jane

Mobile learning and high-profiling language education. The number of students learning a second or foreign language and participating in instruction in languages other than English has been in decline for some time. There seems to be such a general tendency across nations albeit for a variety...... of reasons idiosyncratic to the particular national conditions. This paper gives an account of a diversified national project designed to infuse foreign language learning classes in upper secondary schools in Denmark with renewed enthusiasm through systematically experimenting with the new media by taking...... advantage of the social side in their application. The aim has been to make language classes attractive and relevant and to highlight the attractiveness and fun in learning through web 2.0 and mobile units. The overall project was supported by the Danish ministry of education as well as the individual...

Assessing Faculty Experiences with and Perceptions of an Internal Quality Assurance Process for Undergraduate Distributed Learning Courses: A Pilot Study

Science.gov (United States)

Rucker, Ryan; Edwards, Karen; Frass, Lydia R.

2015-01-01

To ensure that online courses match traditional classes' quality, some institutions are implementing internal standards for online course design and quality review. The University of South Carolina created the Distributed Learning Quality Review program, based on "Quality Matters'" standards. It was designed to be faculty-guided, as…

A Study on Institutional Perception of Student Teachers on the Principles of Total Quality Management

Science.gov (United States)

Sundaresan, S.; Muthaiah, N.

2014-01-01

Education shapes the destiny of a nation, and is the principal instrument for developing human capabilities. Educational quality is highly influenced by the learning experiences gained during the teaching-learning process. The concern for improving quality of teaching-learning process is significant, since this is a mechanism through which the…

Web based Interactive 3D Learning Objects for Learning Management Systems

Directory of Open Access Journals (Sweden)

Stefan Hesse

2012-02-01

Full Text Available In this paper, we present an approach to create and integrate interactive 3D learning objects of high quality for higher education into a learning management system. The use of these resources allows to visualize topics, such as electro-technical and physical processes in the interior of complex devices. This paper addresses the challenge of combining rich interactivity and adequate realism with 3D exercise material for distance elearning.

Quality assurance of the clinical learning environment in Austria: Construct validity of the Clinical Learning Environment, Supervision and Nurse Teacher Scale (CLES+T scale).

Science.gov (United States)

Mueller, Gerhard; Mylonas, Demetrius; Schumacher, Petra

2018-04-21

Within nursing education, the clinical learning environment is of a high importance in regards to the development of competencies and abilities. The organization, atmosphere, and supervision in the clinical learning environment are only a few factors that influence this development. In Austria there is currently no valid instrument available for the evaluation of influencing factors. The aim of the study was to test the construct validity with principal component analysis as well as the internal consistency of the German Clinical Learning Environment, Supervision and Teacher Scale (CLES+T scale) in Austria. The present validation study has a descriptive-quantitative cross-sectional design. The sample consisted of 385 nursing students from thirteen training institutions in Austria. The data collection was carried out online between March and April 2016. Starting with a polychoric correlation matrix, a parallel analysis with principal component extraction and promax rotation was carried out due to the ordinal data. The exploratory ordinal factor analysis supported a four-component solution and explained 73% of the total variance. The internal consistency of all 25 items reached a Cronbach's α of 0.95 and the four components ranged between 0.83 and 0.95. The German version of the CLES+T scale seems to be a useful instrument for identifying potential areas of improvement in clinical practice in order to derive specific quality measures for the practical learning environment. Copyright © 2018 Elsevier Ltd. All rights reserved.

Learning aspects and potential pitfalls regarding detection of pulmonary nodules in chest tomosynthesis and proposed related quality criteria

International Nuclear Information System (INIS)

Asplund, Sara; Johnsson, Aase A.; Vikgren, Jenny

2011-01-01

Background In chest tomosynthesis, low-dose projections collected over a limited angular range are used for reconstruction of an arbitrary number of section images of the chest, resulting in a moderately increased radiation dose compared to chest radiography. Purpose To investigate the effects of learning with feedback on the detection of pulmonary nodules for observers with varying experience of chest tomosynthesis, to identify pitfalls regarding detection of pulmonary nodules, and present suggestions for how to avoid them, and to adapt the European quality criteria for chest radiography and computed tomography (CT) to chest tomosynthesis. Material and Methods Six observers analyzed tomosynthesis cases for presence of nodules in a jackknife alternative free-response receiver-operating characteristics (JAFROC) study. CT was used as reference. The same tomosynthesis cases were analyzed before and after learning with feedback, which included a collective learning session. The difference in performance between the two readings was calculated using the JAFROC figure of merit as principal measure of detectability. Results Significant improvement in performance after learning with feedback was found only for observers inexperienced in tomosynthesis. At the collective learning session, localization of pleural and sub pleural nodules or structures was identified as the main difficulty in analyzing tomosynthesis images. Conclusion The results indicate that inexperienced observers can reach a high level of performance regarding nodule detection in tomosynthesis after learning with feedback and that the main problem with chest tomosynthesis is related to the limited depth resolution

Making Sense of Quality Teaching and Learning in Higher Education in Ethiopia: Unfolding Existing Realities for Future Promises

Science.gov (United States)

Tadesse, Tefera; Manathynga, Catherine E.; Gillies, Robyn M.

2018-01-01

Current approaches for assessing the quality of teaching and learning in higher education focus solely on compliance and accountability, and use quantitative measures that serve as indicators of institutional effectiveness and efficiency, yet whether such approaches have linked to instructional activities or students learning in universities are…

High beam quality and high energy short-pulse laser with MOPA

Science.gov (United States)

Jin, Quanwei; Pang, Yu; Jiang, JianFeng; Tan, Liang; Cui, Lingling; Wei, Bin; Sun, Yinhong; Tang, Chun

2018-03-01

A high energy, high beam quality short-pulse diode-pumped Nd:YAG master oscillator power-amplifier (MOPA) laser with two amplifier stages is demonstrated. The two-rod birefringence compensation was used as beam quality controlling methods, which presents a short-pulse energy of 40 mJ with a beam quality value of M2 = 1.2 at a repetition rate of 400Hz. The MOPA system delivers a short-pulse energy of 712.5 mJ with a pulse width of 12.4 ns.The method of spherical aberration compensation is improved the beam quality, a M2 factor of 2.3 and an optical-to-optical efficiency of 27.7% is obtained at the maximum laser out power.The laser obtained 1.4J out energy with polarization integration.

High quality-factor optical resonators

International Nuclear Information System (INIS)

Henriet, Rémi; Salzenstein, Patrice; Coillet, Aurélien; Saleh, Khaldoun; Chembo, Yanne K; Ristic, Davor; Ferrari, Maurizio; Mortier, Michel; Rasoloniaina, Alphonse; Dumeige, Yannick; Féron, Patrice; Cibiel, Gilles; Llopis, Olivier

2014-01-01

Various resonators are investigated for microwave photonic applications. Micro-sphere, disk and fiber ring resonators were designed, realized and characterized. Obtained quality factors are as high as Q = 10 10 . (paper)

The Impact of Changing Technology: The Case of E-Learning

Science.gov (United States)

Yusuf, Nadia; Al-Banawi, Nisreen

2013-01-01

For centuries, education has relied on classroom methods, but technology-enhanced learning can potentially bring about a revolution in learning, making high-quality, cost-effective education available to a greater number of people. The basic advantages of e-learning include anytime-anywhere access to learning, cost reductions, ability to reach…

Quality Reform: Personality Type, Preferred Learning Style and Majors in a Business School

Science.gov (United States)

Fallan, Lars

2006-01-01

The quality reform of higher education in Norway has generally recommended a substitution of classroom teaching with more active forms of learning in higher education. This study reveals that ignoring the student's personality type may be in conflict with the purpose of the reform. The student's personality type affects both the most effective…

Quality of Life Measurement and Its Use in the Field of Learning Disabilities.

Science.gov (United States)

Lefort, Shelley; Fraser, Mary

2002-01-01

This article examines issues in the measurement of quality of life (QOL) within the field of learning disabilities. Discussion considers objective and subjective measures, value-based and value-free approaches, and traditional versus participatory approaches. The issue of using self-reports or proxies to gather and measure QOL data is addressed. A…

AN OVERVIEW OF CLOUD COMPUTING FOR E-LEARNING WITH ITS KEY BENEFITS

OpenAIRE

Mansi Bosamia

2018-01-01

Education is a necessary human virtue and essential for society because it reflects the personality of the human being in our society. The effective way of teaching gives the quality of education and advance learning such as e-learning to the learners and also a high quality of teaching to the tutors. Information Technology (IT) plays a significant role in field of education. Now days, E-learning and M-learning have become very popular trends of the education technology riot. E-Learning is th...

Automatic Quality Inspection of Percussion Cap Mass Production by Means of 3D Machine Vision and Machine Learning Techniques

Science.gov (United States)

Tellaeche, A.; Arana, R.; Ibarguren, A.; Martínez-Otzeta, J. M.

The exhaustive quality control is becoming very important in the world's globalized market. One of these examples where quality control becomes critical is the percussion cap mass production. These elements must achieve a minimum tolerance deviation in their fabrication. This paper outlines a machine vision development using a 3D camera for the inspection of the whole production of percussion caps. This system presents multiple problems, such as metallic reflections in the percussion caps, high speed movement of the system and mechanical errors and irregularities in percussion cap placement. Due to these problems, it is impossible to solve the problem by traditional image processing methods, and hence, machine learning algorithms have been tested to provide a feasible classification of the possible errors present in the percussion caps.

The Implementation of a Quality Management Standard in a Food SME: A Network Learning Perspective

Directory of Open Access Journals (Sweden)

Zam-Zam Abdirahman

2013-02-01

Full Text Available In the modern agrifood economies, the development of quality management standards is crucial, and food small and medium enterprises (SMEs usually face difficulties in implementing them. In this context, the aim of the article is two‐fold. Firstly it is to craft an original analytical framework in line with the literature on innovation networks and related learning effects specifically devoted to the study of quality management standards implementation. Secondly the objective of the article is to apply this framework to a specific food SME case in order to test it and to identify the key network learningeffects that occur during the implementation of a quality management standard, namely the ISO 22000 standard for food safety. From this research, the practical output will be to propose tools to enhance food SMEs’ innovative capacity, through an improvement of their insertion in active formal and/or informal innovation networks. These specific tools will be especially targeted towards the strengthening of learning processes between the SME and the partners involved in the implementation.

Lessons learned form high-flux isotope reactor restart efforts

International Nuclear Information System (INIS)

Dahl, T.L.

1989-01-01

When the high-flux isotope reactor's (HFIR's) pressure vessel irradiation surveillance specimens were examined in December 1986, unexpected embrittlement was found. The resulting investigation disclosed widespread deficiencies in quality assurance and management practices. On March 24, 1987, the US Department of Energy (DOE) mandated a shutdown of all five Oak Ridge National Laboratory (ORNL) research reactors. Since the beginning of 1987, 18 different formal review groups have evaluated the management and operations of the HFIR. The root cause of the identified deficiencies in the HFIR program was defined as a lack of rigor in management practices and complacency built on twenty years of trouble-free operation. A number of lessons can be learned from the HFIR experience. Particular insight can be gained by comparing the HFIR organization prior to the shutdown with the organization that exists today. Key elements in such a comparison include staffing, funding, discipline, and formality in operations, maintenance, and management

Study on a High Compression Processing for Video-on-Demand e-learning System

Science.gov (United States)

Nomura, Yoshihiko; Matsuda, Ryutaro; Sakamoto, Ryota; Sugiura, Tokuhiro; Matsui, Hirokazu; Kato, Norihiko

The authors proposed a high-quality and small-capacity lecture-video-file creating system for distance e-learning system. Examining the feature of the lecturing scene, the authors ingeniously employ two kinds of image-capturing equipment having complementary characteristics : one is a digital video camera with a low resolution and a high frame rate, and the other is a digital still camera with a high resolution and a very low frame rate. By managing the two kinds of image-capturing equipment, and by integrating them with image processing, we can produce course materials with the greatly reduced file capacity : the course materials satisfy the requirements both for the temporal resolution to see the lecturer's point-indicating actions and for the high spatial resolution to read the small written letters. As a result of a comparative experiment, the e-lecture using the proposed system was confirmed to be more effective than an ordinary lecture from the viewpoint of educational effect.

High-quality cardiopulmonary resuscitation: current and future directions.

Science.gov (United States)

Abella, Benjamin S

2016-06-01

Cardiopulmonary resuscitation (CPR) represents the cornerstone of cardiac arrest resuscitation care. Prompt delivery of high-quality CPR can dramatically improve survival outcomes; however, the definitions of optimal CPR have evolved over several decades. The present review will discuss the metrics of CPR delivery, and the evidence supporting the importance of CPR quality to improve clinical outcomes. The introduction of new technologies to quantify metrics of CPR delivery has yielded important insights into CPR quality. Investigations using CPR recording devices have allowed the assessment of specific CPR performance parameters and their relative importance regarding return of spontaneous circulation and survival to hospital discharge. Additional work has suggested new opportunities to measure physiologic markers during CPR and potentially tailor CPR delivery to patient requirements. Through recent laboratory and clinical investigations, a more evidence-based definition of high-quality CPR continues to emerge. Exciting opportunities now exist to study quantitative metrics of CPR and potentially guide resuscitation care in a goal-directed fashion. Concepts of high-quality CPR have also informed new approaches to training and quality improvement efforts for cardiac arrest care.

Quality management manual for production of high quality cassava flour

DEFF Research Database (Denmark)

Dziedzoave, Nanam Tay; Abass, Adebayo Busura; Amoa-Awua, Wisdom K.

The high quality cassava flour (HQCF) industry has just started to evolve in Africa and elsewhere. The sustainability of the growing industry, the profitability of small- and medium-scale enterprises (SMEs) that are active in the industry and good-health of consumers can best be guaranteed through...... the adoption of proper quality and food safety procedures. Cassava processing enterprises involved in the productionof HQCF must therefore be commited to the quality and food safety of the HQCF. They must have the right technology, appropriate processing machhinery, standard testing instruments...... and the necessary technical expertise. This quality manual was therefore developed to guide small- to medium-scale cassava in the design and implematation of Hazard Analysis Critical Control Point (HACCP) system and Good manufacturing Practices (GMP) plans for HQCF production. It describes the HQCF production...

Learn, how to learn

Science.gov (United States)

Narayanan, M.

2002-12-01

Ernest L. Boyer, in his 1990 book, "Scholarship Reconsidered: Priorities of the Professorate" cites some ground breaking studies and offers a new paradigm that identifies the need to recognize the growing conversation about teaching, scholarship and research in the Universities. The use of `ACORN' model suggested by Hawkins and Winter to conquer and mastering change, may offer some helpful hints for the novice professor, whose primary objective might be to teach students to `learn how to learn'. Action : It is possible to effectively change things only when a teaching professor actually tries out a new idea. Communication : Changes are successful only when the new ideas effectively communicated and implemented. Ownership : Support for change is extremely important and is critical. Only strong commitment for accepting changes demonstrates genuine leadership. Reflection : Feedback helps towards thoughtful evaluation of the changes implemented. Only reflection can provide a tool for continuous improvement. Nurture : Implemented changes deliver results only when nurtured and promoted with necessary support systems, documentation and infrastructures. Inspired by the ACORN model, the author experimented on implementing certain principles of `Total Quality Management' in the classroom. The author believes that observing the following twenty principles would indeed help the student learners how to learn, on their own towards achieving the goal of `Lifelong Learning'. The author uses an acronym : QUOTES : Quality Underscored On Teaching Excellence Strategy, to describe his methods for improving classroom teacher-learner participation. 1. Break down all barriers. 2. Create consistency of purpose with a plan. 3. Adopt the new philosophy of quality. 4. Establish high Standards. 5. Establish Targets / Goals. 6. Reduce dependence on Lectures. 7. Employ Modern Methods. 8. Control the Process. 9. Organize to reach goals. 10. Prevention vs. Correction. 11. Periodic Improvements. 12

Measuring the Quality of the u-Learning Service Using the Zone of Tolerance SERVQUAL

Science.gov (United States)

Kim, Seong Jin; Park, Keon Chul; Seo, Hyun Sik; Lee, Bong Gyou

The purpose of this study is to analyze diverse factors that affect service quality of Digital textbook service. The ZOT(Zone of Tolerance) SERVQUAL has been applied to develop the research model. Users of the Digital textbook service were selected as subjects for the sample frame. A total of 115 surveys from over 112 schools were collected and used as data for analysis. Results of the survey by SPSS Win Ver. 12.0 showed that the perceived level of service quality in terms of reliability is particularly low, and is quite different from adequate quality. This paper suggests useful guidelines to education providers for improving their public u-Learning environment.

Android-assisted physics mobile learning to improve senior high school students' divergent thinking skills and physics HOTS

Science.gov (United States)

Mardiana, Nana; Kuswanto, Heru

2017-08-01

The aims of the research concerned here were to reveal (1) the characteristics of Android-assisted PML (physics mobile learning) to improve SMA (sekolah menengah atas, Indonesian senior high school) students' divergent thinking skills and physics HOTS (higher order thinking skills); (2) the feasibility of the Android-assisted PML; and (3) the influence of using the Android-assisted PML on improvement in SMA students' divergent thinking skills and physics HOTS. The7 research was of the R&D (research and development) type, adapted from theBorg-&-Gall development model. The research data were analyzed by means of MANOVA with the significance level of 5%. The results are as follows. (1) The product of the development, a learning media in software form with the android package(apk) format, is named PML (to refer to Physics Mobile Learning), which has such characterictics as being operable with use of Android devicesand being very good in quality in the aspect oflearning, material, software technology, and audiovisual appearance. 2) The developed learning media referred to as PML is appropriate for learning activity according to evaluation by a material expert, a media expert, peer reviewers, and physics teachers as well as according to results of students' tryouts. (3) The use of the Android-assisted PML media product could improve SMA students' divergent thinking skillsand physics HOTS with the respective high-category gain scores of 0.701 and 0.759.

Measuring the Quality of Professional Development Training

Science.gov (United States)

Gaumer Erickson, Amy S.; Noonan, Patricia M.; Brussow, Jennifer; Supon Carter, Kayla

2017-01-01

High-quality, evidence-based professional development is essential to ensure that teachers obtain the knowledge, strategies and skills necessary to positively impact student learning. While the primary form of professional development, training has rarely been evaluated for quality beyond the satisfaction of those being trained. The Observation…

Evaluating the Effectiveness of Online Learning at the High School Level

Science.gov (United States)

Haley, Robert

2013-01-01

United States high schools are increasingly using online learning to complement traditional classroom learning. Previous researchers of post secondary online learning have shown no significant differences between traditional and online learning. However, there has been little research at the secondary level about the effectiveness of online…

A Comparative Study of the Quality of Teaching Learning Process at Post Graduate Level in the Faculty of Science and Social Science

Science.gov (United States)

Shahzadi, Uzma; Shaheen, Gulnaz; Shah, Ashfaque Ahmed

2012-01-01

The study was intended to compare the quality of teaching learning process in the faculty of social science and science at University of Sargodha. This study was descriptive and quantitative in nature. The objectives of the study were to compare the quality of teaching learning process in the faculty of social science and science at University of…

Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology.

Science.gov (United States)

Campanella, Gabriele; Rajanna, Arjun R; Corsale, Lorraine; Schüffler, Peter J; Yagi, Yukako; Fuchs, Thomas J

2018-04-01

Pathology is on the verge of a profound change from an analog and qualitative to a digital and quantitative discipline. This change is mostly driven by the high-throughput scanning of microscope slides in modern pathology departments, reaching tens of thousands of digital slides per month. The resulting vast digital archives form the basis of clinical use in digital pathology and allow large scale machine learning in computational pathology. One of the most crucial bottlenecks of high-throughput scanning is quality control (QC). Currently, digital slides are screened manually to detected out-of-focus regions, to compensate for the limitations of scanner software. We present a solution to this problem by introducing a benchmark dataset for blur detection, an in-depth comparison of state-of-the art sharpness descriptors and their prediction performance within a random forest framework. Furthermore, we show that convolution neural networks, like residual networks, can be used to train blur detectors from scratch. We thoroughly evaluate the accuracy of feature based and deep learning based approaches for sharpness classification (99.74% accuracy) and regression (MSE 0.004) and additionally compare them to domain experts in a comprehensive human perception study. Our pipeline outputs spacial heatmaps enabling to quantify and localize blurred areas on a slide. Finally, we tested the proposed framework in the clinical setting and demonstrate superior performance over the state-of-the-art QC pipeline comprising commercial software and human expert inspection by reducing the error rate from 17% to 4.7%. Copyright © 2017. Published by Elsevier Ltd.

Blended Learning and Student Engagement in an Urban High School

Science.gov (United States)

Johnson, Courtney

2017-01-01

A metropolitan school district wanted to understand blended learning as it existed in one of their high schools. Blended learning had been school-wide for four years, and district administrators wanted to know how students, teachers, and school administrators perceived blended learning and its impact on student engagement. This was a…

Implementing total quality management in an academic surgery setting: lessons learned.

Science.gov (United States)

Townes, C; Petit, B; Young, B

1995-01-01

Total Quality Management, a philosophy developed by W. Edwards Deming, has been used successfully in many countries and in many types of organizations to improve the quality of processes. The system is based upon the scientific method and provides the ability to solve long-standing, recalcitrant problems. The application of the TQM philosophy to health care, although recommended by many medical economists, is still in its infancy. At our medical center, three departments (Surgery, Anesthesiology, and Operating Room Services) joined forces to implement TQM. Critical activities early in implementation included establishing a Steering Committee, training key employees, providing systems for communicating TQM activities, and developing the leadership, facilitator, and other resources needed to support teams. Two of our first teams studied very different processes (one in the Operating Room, the other in outpatient Surgery clinics), providing many useful insights regarding keys to successful application of the TQM philosophy. We have learned strategies for increasing acceptance of and participation in TQM efforts on the part of staff members and, in particular, physicians, and for initiating the cultural change needed for TQM. Although the teams have met with resistance to behavioral changes and a lack of full support from some upper-level administrators in the Medical Center and the Hospital, most of them have been quite successful in improving the processes under study. We conclude that, with the proper leadership and facilitation, the TQM philosophy can be successfully implemented in the health care environment. Total Quality Management (TQM) as a system for improving the quality of processes has been successful in many countries throughout the world for organizations offering a wide variety of products and services. This article will describe specific TQM endeavors, both successful and unsuccessful, undertaken in an academic surgery department in the United States

Training and Support of Sessional Staff to Improve Quality of Teaching and Learning at Universities.

Science.gov (United States)

Knott, Gillian; Crane, Linda; Heslop, Ian; Glass, Beverley D

2015-06-25

Sessional staff is increasingly involved in teaching at universities, playing a pivotal role in bridging the gap between theory and practice for students, especially in the health professions, including pharmacy. Although sessional staff numbers have increased substantially in recent years, limited attention has been paid to the quality of teaching and learning provided by this group. This review will discuss the training and support of sessional staff, with a focus on Australian universities, including the reasons for and potential benefits of training, and structure and content of training programs. Although sessional staff views these programs as valuable, there is a lack of in-depth evaluations of the outcomes of the programs for sessional staff, students and the university. Quality assurance of such programs is only guaranteed, however, if these evaluations extend to the impact of this training and support on student learning.

eLearning techniques supporting problem based learning in clinical simulation.

Science.gov (United States)

Docherty, Charles; Hoy, Derek; Topp, Helena; Trinder, Kathryn

2005-08-01

This paper details the results of the first phase of a project using eLearning to support students' learning within a simulated environment. The locus was a purpose built clinical simulation laboratory (CSL) where the School's philosophy of problem based learning (PBL) was challenged through lecturers using traditional teaching methods. a student-centred, problem based approach to the acquisition of clinical skills that used high quality learning objects embedded within web pages, substituting for lecturers providing instruction and demonstration. This encouraged student nurses to explore, analyse and make decisions within the safety of a clinical simulation. Learning was facilitated through network communications and reflection on video performances of self and others. Evaluations were positive, students demonstrating increased satisfaction with PBL, improved performance in exams, and increased self-efficacy in the performance of nursing activities. These results indicate that eLearning techniques can help students acquire clinical skills in the safety of a simulated environment within the context of a problem based learning curriculum.

Quality Assurance Strategy for Existing Homes: Final Quality Management Primer for High Performing Homes

Energy Technology Data Exchange (ETDEWEB)

Del Bianco, M.; Taggart, J.; Sikora, J.; Wood, A.

2012-12-01

This guide is designed to help Building America (BA) Teams understand quality management and its role in transitioning from conventional to high performance home building and remodeling. It explains what quality means, the value of quality management systems, the unique need for QMS when building high performing homes, and the first steps to a implementing a comprehensive QMS. This document provides a framework and context for BA teams when they encounter builders and remodelers.

Quality Assurance Strategy for Existing Homes. Final Quality Management Primer for High Performing Homes

Energy Technology Data Exchange (ETDEWEB)

Del Bianco, M. [NAHB Research Center Industry Partnership, Upper Marlboro, MD (United States); Taggart, J. [NAHB Research Center Industry Partnership, Upper Marlboro, MD (United States); Sikora, J. [NAHB Research Center Industry Partnership, Upper Marlboro, MD (United States); Wood, A. [NAHB Research Center Industry Partnership, Upper Marlboro, MD (United States)

2012-12-01

This guide is designed to help Building America (BA) teams understand quality management and its role in transitioning from conventional to high performance home building and remodeling. It explains what quality means, the value of quality management systems, the unique need for QMS when building high performing homes, and the first steps to a implementing a comprehensive QMS. This document provides a framework and context for BA teams when they encounter builders and remodelers.

Promoting readiness to practice: which learning activities promote competence and professional identity for student social workers during practice learning?

OpenAIRE

Roulston, Audrey; Cleak, Helen; Vreugdenhil, Anthea

2016-01-01

Practice learning is integral to the curriculum for qualifying social work students. Accreditation standards require regular student supervision and exposure to specific learning activities. Most agencies offer high quality placements but organisational cutbacks may affect supervision and restrict the development of competence and professional identity. Undergraduate social work students in Northern Ireland universities (n = 396) were surveyed about the usefulness of the learning activities t...

Use of Web Technology and Active Learning Strategies in a Quality Assessment Methods Course.

Science.gov (United States)

Poirier, Therese I.; O'Neil, Christine K.

2000-01-01

The authors describe and evaluate quality assessment methods in a health care course that utilized web technology and various active learning strategies. The course was judged successful by student performance, evaluations and student assessments. The instructors were pleased with the outcomes achieved and the educational pedagogy used for this…

Distance learning

Directory of Open Access Journals (Sweden)

Katarina Pucelj

2006-12-01

Full Text Available I would like to underline the role and importance of knowledge, which is acquired by individuals as a result of a learning process and experience. I have established that a form of learning, such as distance learning definitely contributes to a higher learning quality and leads to innovative, dynamic and knowledgebased society. Knowledge and skills enable individuals to cope with and manage changes, solve problems and also create new knowledge. Traditional learning practices face new circumstances, new and modern technologies appear, which enable quick and quality-oriented knowledge implementation. The centre of learning process at distance learning is to increase the quality of life of citizens, their competitiveness on the workforce market and ensure higher economic growth. Intellectual capital is the one, which represents the biggest capital of each society and knowledge is the key factor for succes of everybody, who are fully aware of this. Flexibility, openness and willingness of people to follow new IT solutions form suitable environment for developing and deciding to take up distance learning.

Students' goal preferences, ethnocultural background and the quality of cooperative learning in secondary vocational education

NARCIS (Netherlands)

Hijzen, Daphne Minette

2006-01-01

The thesis presents an exploration of the relationships between students’ motivation, represented by students’ personal goals, and the quality of cooperative learning (CL) processes of first and second year students, enrolled in secondary vocational schools. Special attention has been paid to

Using adapted quality-improvement approaches to strengthen community-based health systems and improve care in high HIV-burden sub-Saharan African countries.

Science.gov (United States)

Horwood, Christiane M; Youngleson, Michele S; Moses, Edward; Stern, Amy F; Barker, Pierre M

2015-07-01

Achieving long-term retention in HIV care is an important challenge for HIV management and achieving elimination of mother-to-child transmission. Sustainable, affordable strategies are required to achieve this, including strengthening of community-based interventions. Deployment of community-based health workers (CHWs) can improve health outcomes but there is a need to identify systems to support and maintain high-quality performance. Quality-improvement strategies have been successfully implemented to improve quality and coverage of healthcare in facilities and could provide a framework to support community-based interventions. Four community-based quality-improvement projects from South Africa, Malawi and Mozambique are described. Community-based improvement teams linked to the facility-based health system participated in learning networks (modified Breakthrough Series), and used quality-improvement methods to improve process performance. Teams were guided by trained quality mentors who used local data to help nurses and CHWs identify gaps in service provision and test solutions. Learning network participants gathered at intervals to share progress and identify successful strategies for improvement. CHWs demonstrated understanding of quality-improvement concepts, tools and methods, and implemented quality-improvement projects successfully. Challenges of using quality-improvement approaches in community settings included adapting processes, particularly data reporting, to the education level and first language of community members. Quality-improvement techniques can be implemented by CHWs to improve outcomes in community settings but these approaches require adaptation and additional mentoring support to be successful. More research is required to establish the effectiveness of this approach on processes and outcomes of care.

A method for the evaluation of image quality according to the recognition effectiveness of objects in the optical remote sensing image using machine learning algorithm.

Directory of Open Access Journals (Sweden)

Tao Yuan

Full Text Available Objective and effective image quality assessment (IQA is directly related to the application of optical remote sensing images (ORSI. In this study, a new IQA method of standardizing the target object recognition rate (ORR is presented to reflect quality. First, several quality degradation treatments with high-resolution ORSIs are implemented to model the ORSIs obtained in different imaging conditions; then, a machine learning algorithm is adopted for recognition experiments on a chosen target object to obtain ORRs; finally, a comparison with commonly used IQA indicators was performed to reveal their applicability and limitations. The results showed that the ORR of the original ORSI was calculated to be up to 81.95%, whereas the ORR ratios of the quality-degraded images to the original images were 65.52%, 64.58%, 71.21%, and 73.11%. The results show that these data can more accurately reflect the advantages and disadvantages of different images in object identification and information extraction when compared with conventional digital image assessment indexes. By recognizing the difference in image quality from the application effect perspective, using a machine learning algorithm to extract regional gray scale features of typical objects in the image for analysis, and quantitatively assessing quality of ORSI according to the difference, this method provides a new approach for objective ORSI assessment.