WorldWideScience

Sample records for blackboard learning system

  1. Gamification in Blackboard Learn

    Science.gov (United States)

    Machajewski, Szymon

    2017-01-01

    Gamification is an important movement in business management, but also in higher education. Projects like the GradeCraft LMS, funded at $1.8 million dollars at U of M, demonstrate that designing student experience in learning is a top priority for major educational institutions. Considering enrollment limitations and changes in population…

  2. Moving beyond Blackboard: Using a Social Network as a Learning Management System

    Science.gov (United States)

    Thacker, Christopher

    2012-01-01

    Web 2.0 is a paradigm of a participatory Internet, which has implications for the delivery of online courses. Instructors and students can now develop, distribute, and aggregate content through the use of third-party web applications, particularly social networking platforms, which combine to form a user-created learning management system (LMS).…

  3. Hacking Blackboard: Customizing Access to Library Resources through the Blackboard Course Management System

    Science.gov (United States)

    Kellam, Lynda M.; Cox, Richard; Winkler, Hannah

    2009-01-01

    Academic libraries have long been trying to gain access to users through their favorite online spaces, such as social networking sites. In this article a project of the University of North Carolina at Greensboro's University Libraries, which integrated library resources with the campus course management system, Blackboard, is detailed. The main…

  4. USMMA Blackboard -

    Data.gov (United States)

    Department of Transportation — Blackboard is a COTS product supporting Academic Course Management and learning management functions for both on-campus, residential instruction and future distance...

  5. Pros & Cons of Using Blackboard Collaborate for Blended Learning on Students' Learning Outcomes

    Science.gov (United States)

    Hamad, Mona M.

    2017-01-01

    Blackboard Collaborate was introduced to King Khalid University recently in the last decade; instructors and students were trained to use it in an effective way. The objective of this study is to find pros and cons of using Blackboard Collaborate for Blended Learning and its effect on students' learning outcomes. The researcher used the…

  6. Evaluating the Data Analytic Features of Blackboard Learn 9.1

    Directory of Open Access Journals (Sweden)

    Patrick Walsh

    2015-06-01

    Full Text Available Learning Management Systems (LMSs track and store vast quantities of data on student engagement with course content. Research shows that Higher Education Institutes can harness the power of this data to build a better understanding of student learning. This study is an exploratory Learning Analytics initiative to evaluate the inbuilt analytic features available within Blackboards LMS solution namely Blackboard Learn 9.1 to determine if it informs academic staff on student engagement. The two analytic features analysed in this study are Module Reports and Blackboard’s inbuilt early warning system called the “Retention Center”. Analysis of LMS variables extracted from these analytic features established a statistically significant weakly positive correlation between hit activity, login activity and student examination results. A statistically significant weakly positive correlation was also established between Multiple Choice Quiz (MQQ score and examination results. These findings suggest that activity within LMS, measured by logins, hit activity and results in MCQs provide indicators of student academic performance. Lecturers involved in the study felt the analytic features provided them with a sense of student engagement with course modules and better understanding of their student cohorts.

  7. User Acceptance of Mobile Technology: A Campus-Wide Implementation of Blackboard's Mobile™ Learn Application

    Science.gov (United States)

    Chen, Baiyun; Sivo, Stephen; Seilhamer, Ryan; Sugar, Amy; Mao, Jin

    2013-01-01

    Mobile learning is a fast growing trend in higher education. This study examined how an extended technology acceptance model (TAM) could evaluate and predict the use of a mobile application in learning. A path analysis design was used to measure the mediating effects on the use of Blackboard's Mobile™ Learn application in coursework (N = 77). The…

  8. Blended Learning Analytics Model for Evaluation (BLAME). Et case-studie af universitetsunderviseres brug af Blackboard

    DEFF Research Database (Denmark)

    Musaeus, Peter; Bennedsen, Andreas Brændstrup; Hansen, Janne Saltoft

    2015-01-01

    I denne artikel vil vi præsentere en strategi til inddragelse af læringsanalytik (learning analytics) ved evaluering af universitetsunderviseres brug af et nyt LMS på Aarhus Universitet: Blackboard. Vi diskuterer en model (BLAME: Blended Learning Analytics Model of Evaluation) for, hvordan...... kategorisering af kurser og data om læringsanalytik indsamlet på Blackboard kan integreres. Endvidere belyser vi, hvilke implikationer en sådan læringsanalytik kan have for blended learning ved at analysere to forskellige uddannelses-cases/illustrationer. Dernæst diskuterer vi pædagogisk udvikling i forbindelse...

  9. Blended Learning Analytics Model for Evaluation (BLAME. Et case-studie af universitetsunderviseres brug af Blackboard

    Directory of Open Access Journals (Sweden)

    Peter Musaeus

    2015-02-01

    Full Text Available I denne artikel vil vi præsentere en strategi til inddragelse af læringsanalytik (learning analytics ved evaluering af universitetsunderviseres brug af et nyt LMS på Aarhus Universitet: Blackboard. Vi diskuterer en model (BLAME: Blended Learning Analytics Model of Evaluation for, hvordan kategorisering af kurser og data om læringsanalytik indsamlet på Blackboard kan integreres. Endvidere belyser vi, hvilke implikationer en sådan læringsanalytik kan have for blended learning ved at analysere to forskellige uddannelses-cases/illustrationer. Dernæst diskuterer vi pædagogisk udvikling i forbindelse med evalueringsrapport om underviseres brug af Blackboard som beslutningsstøtte for feedback og pædagogisk intervention. Artiklen slutter med en diskussion af, hvordan data til læringsanalytik bør indsamles i LMS og bruges til afrapportering og undervisningsudvikling.

  10. Using Blackboard in Library Instruction: Addressing the Learning Styles of Generations X and Y

    Science.gov (United States)

    Costello, Barbara; Lenholt, Robert; Stryker, Judson

    2004-01-01

    Studies show that recent generations of college students have a learning style with identifiable characteristics. Library instruction efforts must adapt to these learning styles. Course management software (CMS), such as Blackboard, is one resource available to academic librarians to meet the challenges posed by the ''Net Generation.'' At Stetson…

  11. Learning sequential control in a Neural Blackboard Architecture for in situ concept reasoning

    NARCIS (Netherlands)

    van der Velde, Frank; van der Velde, Frank; Besold, Tarek R.; Lamb, Luis; Serafini, Luciano; Tabor, Whitney

    2016-01-01

    Simulations are presented and discussed of learning sequential control in a Neural Blackboard Architecture (NBA) for in situ concept-based reasoning. Sequential control is learned in a reservoir network, consisting of columns with neural circuits. This allows the reservoir to control the dynamics of

  12. The blackboard model - A framework for integrating multiple cooperating expert systems

    Science.gov (United States)

    Erickson, W. K.

    1985-01-01

    The use of an artificial intelligence (AI) architecture known as the blackboard model is examined as a framework for designing and building distributed systems requiring the integration of multiple cooperating expert systems (MCXS). Aerospace vehicles provide many examples of potential systems, ranging from commercial and military aircraft to spacecraft such as satellites, the Space Shuttle, and the Space Station. One such system, free-flying, spaceborne telerobots to be used in construction, servicing, inspection, and repair tasks around NASA's Space Station, is examined. The major difficulties found in designing and integrating the individual expert system components necessary to implement such a robot are outlined. The blackboard model, a general expert system architecture which seems to address many of the problems found in designing and building such a system, is discussed. A progress report on a prototype system under development called DBB (Distributed BlackBoard model) is given. The prototype will act as a testbed for investigating the feasibility, utility, and efficiency of MCXS-based designs developed under the blackboard model.

  13. To Kill the Blackboard? Technology in Language Teaching and Learning

    Science.gov (United States)

    Koksal, Dinçay

    2004-01-01

    In language teaching and learning, we have a lot to choose from the world of technology: radio, TV, CD-Rom, computers, C.A.L.L., the Internet, Electronic Dictionary, e-mail, audio cassettes, Power-point, and videos/DVDs or VCDs. Table 1 in Appendix C illustrates their advantages and disadvantages. This paper aims to discuss the use and importance…

  14. EFL Teachers' Perceptions on Blackboard Applications

    Science.gov (United States)

    Mohsen, Mohammed Ali; Shafeeq, C. P

    2014-01-01

    The widespread availability of technological infrastructure has enhanced the adoption of learning management systems (LMSs) in educational institutions. Blackboard is one of the most popular marketable LMSs adopted in higher education institutions. As some previous studies have viewed that positive perceptions played a vital role in adopting new…

  15. Rapid expert assessment to counter threats (REACT): cooperating expert systems via a blackboard architecture

    Science.gov (United States)

    Rosenking, Jeffrey P.; Roth, Stefan P.

    1988-03-01

    REACT (Rapid Expert Assessment to Counter Threats) is a prototype artificial intelligence system which is being developed at the Grumman Corporate Research Center. The purpose of REACT is to aid pilots in determining appropriate threat response strategies during combat situations. REACT is also being designed to monitor the state of the aircraft's onboard systems in order to offload the pilot from performing some of these tasks. REACT will notify the pilot during unusual circumstances which require some corrective actions to be taken. Our approach to carrying out these tasks is to develop individual, cooperating expert systems. The REACT experts are being designed to execute independently to obtain specified goals and they will also have the capability to share information using a blackboard model so that they can work collectively to solve problems as a single system.

  16. Implementation of Blackboard at Aarhus University

    DEFF Research Database (Denmark)

    Laursen, Kristina; Schlichter, Bjarne Rerup

    of information systems in general is a field which has been investigated a lot, and the possible benefits are numerous. However, despite the many possible benefits, it is shown, both in the literature and in many practical examples, that user resistance can be a critical success factor. Therefore, an interesting......In 2013, Aarhus University chose to implement a new Learning Management System due to both internal and external factors. This case study therefore undertakes an analysis regarding the implementation of the Learning Management System (LMS), called Blackboard, at Aarhus University’s faculty: School...... of Business and Social Sciences. The implementation of Blackboard at Aarhus University is highly interesting to explore due to the many special characteristics of the organization. It is an organization comprising many different stakeholders and thereby many different needs. Furthermore, the implementation...

  17. Blackboard: making an impression in a visual world

    OpenAIRE

    Tannant, Maria; Garrett, Leigh; Power, Nick

    2009-01-01

    Rebranding Blackboard by students for students. The nature of creative and visual arts is very reflective and collaborative, therefore people had difficulty in applying Blackboard to this method of learning. Traditional teaching of non-arts subject matter is predominantly text based, thus many staff at UCA found the notion of Blackboard very challenging as a learning tool. It was also seen as merely a file repository holding reading lists, lecture notes and timetables. The UCA project te...

  18. Use of Blackboard Application in Language Teaching: Language Teachers' Perceptions at KAU

    Directory of Open Access Journals (Sweden)

    Hanan Ismail Kutubkhanah Alsaied

    2016-11-01

    Full Text Available The popularity of learning management systems (LMSs in ELT has been enhanced due to extensive availability of technological infrastructure for educational institutions. Previous studies reveal the fact that adoption of new technologies is always supported by the positive insights of the practitioners. Current study is based on the same ideology and aims to explore EFL teachers’ perceptions of the constructive application of blackboard technology in English Language Teaching. In order to investigate the teachers’ perceptions on the use of blackboard system, the researcher and 40 Language teachers from a major English Language Institute -King Abdulaziz Universty (KAU-participated in this study; a survey questionnaire was used as the research tool. Overall study reflects a positive trend towards the use of blackboard system in language teaching at ELI – KAU.  Majority of the participants confirmed that the use of Blackboard provides a structured e-learning platform that facilitates the development of a healthy learner-centered arena in ELT. Additionally, the present study aims to highlight the pedagogical implication of blackboard system as a source of blended learning.

  19. Learning management systems: one size fits all?

    NARCIS (Netherlands)

    Oliver, Ron; Harper, Ben; Reeves, Tom; Strijker, A.; van Westhuizen, Duan

    2002-01-01

    Learning management systems such as WebCT and Blackboard are rapidly becoming the principal systems behind institutions' moves to technology-based learning settings. In settings where lecturers have had no or limited exposure to ICT as a teaching tool, LMSs pave the way for quick introduction and

  20. Blackboard system generator (BSG) - An alternative distributed problem-solving paradigm

    Science.gov (United States)

    Silverman, Barry G.; Feggos, Kostas; Chang, Joseph Shih

    1989-01-01

    A status review is presented for a generic blackboard-based distributed problem-solving environment in which multiple-agent cooperation can be effected. This environment is organized into a shared information panel, a chairman control panel, and a metaplanning panel. Each panel contains a number of embedded AI techniques that facilitate its operation and that provide heuristics for solving the underlying team-agent decision problem. The status of these panels and heuristics is described along with a number of robustness considerations. The techniques for each of the three panels and for four sets of paradigm-related advances are described, along with selected results from classroom teaching experiments and from three applications.

  1. Comparatively Assessing the Use of Blackboard versus Desire2Learn: Faculty Perceptions of the Online Tools

    Science.gov (United States)

    Chawdhry, Adnan A.; Paullet, Karen; Benjamin, Daniel

    2012-01-01

    Current trends indicate that an increasing number of Universities have been offering online classes without assessing the faculty perspective of the online learning management tools. When a University understands the faculty perception they can implement an online education environment that is both conducive to student learning and faculty…

  2. BB-CLIPS: Blackboard extensions to CLIPS

    Science.gov (United States)

    Orchard, Robert A.; Diaz, Aurora C.

    1990-01-01

    This paper describes a set of extensions made to CLIPS version 4.3 that provide capabilities similar to the blackboard control architecture described by Hayes-Roth. There are three types of additions made to the CLIPS shell. The first extends the syntax to allow the specification of blackboard locations for CLIPS facts. The second implements changes in CLIPS rules and the agenda manager that provide some of the powerful features of the blackboard control architecture. These additions provide dynamic prioritization of rules on the agenda allowing control strategies to be implemented that respond to the changing goals of the system. The final category of changes support the needs of continuous systems, including the ability for CLIPS to continue execution with an empty agenda.

  3. Developing Students’ Information and Research Skills via Blackboard

    Directory of Open Access Journals (Sweden)

    Jacqui Weetman DaCosta

    2007-05-01

    Full Text Available This paper summarizes work undertaken at De Montfort University (Leicester, UK to develop students’ information and research skills using the Blackboard Virtual Learning Environment. It outlines how a traditionally delivered and assessed program was reviewed and revised in order to produce a blended learning experience for students. The librarians involved undertook this project with students from the Faculty of Health and Life Sciences during March/April 2005, teaching two groups in parallel--one group using Blackboard and another using the traditional teaching method. Both groups were given a diagnostic evaluation to gauge their confidence levels with both information skills and using Blackboard, and to obtain their perceptions of their experiences. Both groups underwent a formal summative assessment with one group using Blackboard and the control group having a paper-based assignment. The Blackboard sessions were very popular with students and this method of teaching has subsequently been extended to other modules within the university. Students appeared to be more motivated and appreciated the constant availability of the learning materials. This project was the first example within the university of students undertaking a formal online assessment using Blackboard, and the librarians received a Curriculum Development and Innovation Award. The work was subsequently disseminated within the university, where it was well received.

  4. Adding to the mix: Students use of Facebook groups and blackboard discussion forums in higher education

    Directory of Open Access Journals (Sweden)

    Mike Kent

    2016-09-01

    Full Text Available This paper reports on a case study of the use of Facebook in learning and teaching in higher education. Facebook was used as a venue for online discussion to support the existing Learning Management System (in this case Blackboard in the unit Internet Collaboration and Organisation as part of the Internet Communications degree taught fully online through Open Universities Australia (OUA. Students’ posts to both Facebook and the Blackboard discussion forum were analysed for content, length, and when throughout the study period they were posted. This is significant as much of the previous work in this area has relied on students self-reporting, rather than direct observation of student behaviour. These results were then compared to earlier instances of the same unit that ran within the previous twelve months, one fully online with OUA only using the Blackboard discussion group, and a second taught at Curtin University with both blended learning for students at the University’s Bentley campus as well as fully online for external students, that utilised both Blackboard and Facebook. The results show that Facebook greatly increases the level of student activity in online discussions, both absolutely and in the level of sustained activity across the unit’s study period. Facebook groups also had a different pattern of content from Blackboard. In Blackboard discussion is more focused on the set unit learning content, in Facebook students were using the groups to discuss administration and assignments and also bring in additional material from outside the units set learning materials. Facebook posts, while more sustained over the semester, were shorter in length. This study found that the addition of a Facebook discussion forum does not noticeably impact on the use of Blackboard’s discussion forum, but rather adds a new dimension to the mix of online interaction. The paper concludes that there is value in using both of these forums for student

  5. Using Blackboard to Deliver Library Research Skills Assessment: A Case Study

    Directory of Open Access Journals (Sweden)

    Maura A Smale

    2010-03-01

    Full Text Available Like other college and university departments, academic libraries are increasingly expected to assess their services and facilities. This article describes an initial step in the development of a comprehensive assessment program for library instruction in the Brooklyn College Library. A pre- and post-quiz were developed based on the curriculum for a required library session in an introductory English composition course. The quizzes were designed to establish a baseline for student knowledge of information literacy as well as measure the effect of library instruction on student learning. We also sought to evaluate the suitability of the Blackboard learning management system for assessment of library instruction. Our discussion of the benefits and limitations of this pilot project will be useful to instruction librarians considering using Blackboard to implement multiple choice quizzes as a means of assessing information literacy and library instruction.

  6. The Relationship between an Online Synchronous Learning Environment and Knowledge Acquisition Skills and Traits: The Blackboard Collaborate Experience

    Science.gov (United States)

    Politis, John; Politis, Denis

    2016-01-01

    Online learning is becoming more attractive to perspective students because it offers them greater accessibility, convenience and flexibility to study at a reduced cost. While these benefits may attract prospective learners to embark on an online learning environment there remains little empirical evidence relating the skills and traits of…

  7. Can PowerPoint Presentations Effectively Replace Textbooks and Blackboards for Teaching Grammar? Do Students Find Them an Effective Learning Tool?

    Science.gov (United States)

    Corbeil, Giselle

    2007-01-01

    The use of PowerPoint presentations for explicit instruction of grammatical structures is increasingly encouraged at the university level. Some teachers are still reluctant to use this technology because they are not convinced that more benefits can be derived from their use than from the conventional use of textbook and blackboard. On the other…

  8. Making Your Blackboard Courses Talk!

    Science.gov (United States)

    Burcham, Tim M.

    This presentation shows how to deliver audio/video (AV) lectures to online students using relatively inexpensive AV software (i.e., Camtasia Studio) and the standard Blackboard interface. The first section describes two types of production programs: presentation media converters and screen capture utilities. The second section covers making an AV…

  9. The development and evaluation of the use of a virtual learning environment (Blackboard 5) to support the learning of pre-qualifying nursing students undertaking a human anatomy and physiology module.

    Science.gov (United States)

    Green, Sue M; Weaver, Mike; Voegeli, David; Fitzsimmons, Debs; Knowles, Jess; Harrison, Maureen; Shephard, Kerry

    2006-07-01

    Students commence nurse education with varying levels of understanding of human anatomy and physiology due to a wide range of previous exposure to the topic. All students, however, are required to attain a broad knowledge of this topic prior to qualification. This paper describes the use of a Virtual Learning Environment (VLE), Blackboard 5, and the associated development of appropriate resources aimed at supporting nursing students undertaking a human anatomy and physiology module at Higher Education Level 1. The VLE was used as part of a blended learning approach. The results suggested that the majority of students utilised the VLE throughout the academic year. Opportunities for independent and self-directed learning were available in that students chose when and where to learn. Students generally commented favourably on ease of use and type of resources available. Frequency of use of the VLE, however, did not correlate strongly with the final examination mark achieved. Overall the VLE and the associated available resources appeared useful in supporting student learning and has been adopted for use in subsequent years.

  10. The Effect of Blended Learning in Enhancing Female Students' Satisfaction in the Saudi Context

    Science.gov (United States)

    Al lHassan, Sarah; Shukri, Nadia

    2017-01-01

    The present study intended to investigate the effect of utilizing Learning Management System (LMS), Blackboard® on enhancing English as a Foreign Language (EFL) female students' satisfaction in the Saudi context. It is found that the effectiveness of utilizing the supplementary materials on Blackboard® is leading up to EFL students' satisfaction.…

  11. Learning Design Development for Blended Learning

    DEFF Research Database (Denmark)

    Hansen, Janne Saltoft

    Learning design development for blended learning We started implementing Blackboard at Aarhus University in 2013. At the Health Faculty Blackboard replaced AULA which was a LMS with functionality for file distribution and only a vague focus on learning tools. Most teachers therefore had...... no experiences with blended leaning and technology supported out-of-class activities. At the pedagogical unit at the Health faculty we wanted to follow the Blackboard implementation with pedagogical tools for learning design to evolve the pedagogical use of the system. We needed to make development of blended...... learning courses easier for the teachers and also ensure quality in the courses. This poster describes the process from development of the learning design to implementation of the learning design at the faculty: 1. How to place demands on a learning design-model and how to develop and use such a model. 2...

  12. Cognitive Vision and Perceptual Grouping by Production Systems with Blackboard Control - An Example for High-Resolution SAR-Images

    Science.gov (United States)

    Michaelsen, Eckart; Middelmann, Wolfgang; Sörgel, Uwe

    The laws of gestalt-perception play an important role in human vision. Psychological studies identified similarity, good continuation, proximity and symmetry as important inter-object relations that distinguish perceptive gestalts from arbitrary sets of clutter objects. Particularly, symmetry and continuation possess a high potential in detection, identification, and reconstruction of man-made objects. This contribution focuses on coding this principle in an automatic production system. Such systems capture declarative knowledge. Procedural details are defined as control strategy for an interpreter. Often an exact solution is not feasible while approximately correct interpretations of the data with the production system are sufficient. Given input data and a production system the control acts accumulatively instead of reducing. The approach is assessment driven features any-time capability and fits well into the recently discussed paradigms of cognitive vision. An example from automatic extraction of groupings and symmetry in man-made structure from high resolution SAR-image data is given. The contribution also discusses the relations of such approach to the "mid-level" of what is today proposed as "cognitive vision".

  13. Creating an Information Literacy Badges Program in Blackboard: A Formative Program Evaluation

    Science.gov (United States)

    Tunon, Johanna; Ramirez, Laura Lucio; Ryckman, Brian; Campbell, Loy; Mlinar, Courtney

    2015-01-01

    A formative program evaluation using Stufflebeam's (2010) Context, Input, Process, Product (CIPP) model was conducted to assess the use of digital badges for tracking basic library instructional skills across academic programs at Nova Southeastern University. Based on the evaluation of pilot library modules and Blackboard Learn's badges…

  14. Evolution of technology in teaching: Blackboard and beyond in Medical Education.

    Science.gov (United States)

    Muttappallymyalil, Jayakumary; Mendis, Susirith; John, Lisha Jenny; Shanthakumari, Nisha; Sreedharan, Jayadevan; Shaikh, Rizwana B

    2016-10-01

    the passing of knowledge from one generation to another - has been in existence from the earliest times of human civilization. It began in 1801, with a large piece of slate hung on the wall in a school in Scotland to provide information to a large audience at one time. In the US by mid-19th century, every class room had a blackboard to teach students. The modern version of the blackboard is either green or brown board. This was introduced in late 1960s. The whiteboards came into use during the late 1980s. Projected aids have been used since 1420. The various devices used are the epidiascope, slide projector, overhead projector for transparencies and the micro projector. An instrument to project images from a horizontal surface onto a vertical screen was invented in the 1870s. By the 1960s, transparencies were in use in classrooms. The 'Hyalotype', a transparent image of a photograph using actual black and white photographs on a glass slide that could be projected was invented in 1851. By 1916, the German company Agfa started producing colored lantern slides. The first version of PowerPoint was released by Microsoft in the year 1990. Cell phones, palmtops, and handheld computers; tablets, laptops, and media players are included under mobile learning devices. With the evolution of technology, students achieved competence and interested in interactive learning. The education industry has moved from distance learning to e-learning and finally to m-learning as knowledge expanded exponentially and the demand escalated. While using teaching aids with advanced technology, we must not forget the lessons from the past, striking a balance between embracing new methods of teaching and learning while upholding the timeless principles of education. The newer educational technology can be part of a comprehensive system for lifelong education. Use of technology in education has come a long way since the earliest times of human civilization. While embarking on aids with advanced

  15. The Effect of Flipped Classroom Strategy Using Blackboard Mash-Up Tools in Enhancing Achievement and Self-Regulated Learning Skills of University Students

    Science.gov (United States)

    El-Senousy, Hala; Alquda, Jumana

    2017-01-01

    The flipped classroom strategy (FCRS) is an innovative instructional approach that flips the traditional teacher-centered classroom into student-centered learning, by switching the classroom and home activities using the available educational technology. This paper examined the effect of (FCRS) on students' achievement and self-regulated learning…

  16. Model for supporting awareness in the CSCL ALLEGRO environment through a blackboard architecture

    Directory of Open Access Journals (Sweden)

    Demetrio Arturo Ovalle Carranza

    2006-09-01

    Full Text Available This paper is aimed at describing collaborative activities, the awareness process and blackboard architecture used within the ALLEGRO system, a multi-agent learning and teaching environment which has included artificial intelligence mechanisms (instructional planning (IP, cased-based reasoning (CBR, multi-agent systems (MAS, intelligent tutoring systems (ITS and computer supported collaborative learning (CSCL. The proposed model of awareness promotes communication, collaboration and coordination in CSCL ALLEGRO. MAS-CommonKADS methodology was applied for building the Multi-Agent system. ALLEGRO based its instructional approach on the following three pedagogical paradigms: conductive behaviour, cognitive mechanisms (distributed cognition and problem-based learning and social-historical theory. The system was validated via several case studies regarding the graphical digital domain for postgraduate architectural studies. The proposed awareness model lets students develop important skills such as conscious behaviour, communication, collaboration and coordination in the CSCL component of the ALLEGRO system. This model facilitates students acquiring a perception of what others are doing inside the CSCL, thereby using such knowledge for interacting with the environment and developing leading to expressing and exchanging ideas and opinions with other students, transforming the class into an open virtual forum for reflection, proactive interaction and a critical space for exchanging ideas. The proposed instructional model is a valuable resource from the technological and pedagogical point of view as different theories are integrated, some of them conflicting with others.

  17. A Practice of the Simple Learning Management System

    Science.gov (United States)

    Miyagoshi, Takashi; Doshita, Hiroki; Okino, Koji; Tajima, Masato

    Recently, the LMS ( Learning Management System) of the Blackboard, the WebCt, the Moodle and the Wiki etc. are utilized at the time of e-learning execution. We constructed a simple learning management system with the PukiWiki which is a derivative edition of the Wiki. In this system, the page which the Web page reader is perusing can be edited freely. Moreover, not only a teacher can equally treat the functions used before easily, but a student can create and expand his pages freely. We applied this system to the programming exercise with Java language. When students present a subject, the certainty and convenience are verified since the process are automatically recorded with time.

  18. Effects of Blackboard on EFL Academic Writing and Attitudes

    Science.gov (United States)

    Fageeh, Abdulaziz; Mekheimer, Mohamed Amin A.

    2013-01-01

    This study aimed to recognize the pedagogical effects of Blackboard as a computer-mediated communication (CMC) environment for teaching academic writing and improving students' attitudes toward academic writing. Learners' interactions in the CMC environment of Blackboard were analyzed via a controlled descriptive design to examine how students…

  19. Intelligent perception control based on a blackboard architecture

    International Nuclear Information System (INIS)

    Taibi, I.; Koenig, A.; Vacherand, F.

    1991-01-01

    In this paper, is described the intelligent perception control system GESPER which is presently equipped with a set of three cameras, a telemeter and a camera associated with a structured strip light. This system is of great interest for all our robotic applications as it is capable of autonomously planning, triggering acquisitions, integrating and interpreting multisensory data. The GESPER architecture, based on the blackboard model, provides a generic development method for indoor and outdoor perception. The modularity and the independence of the knowledge sources make the software evolving easily without breaking down the architecture. New sensors and/or new data processing can be integrated by the addition of new knowledge sources that modelize them. At present, first results are obtained in our testbed hall which simulates the nuclear plant as gives similar experimental conditions. Our ongoing research concerns the improvement of fusion algorithms and the embedding of the whole system (hardware and software) on target robots and distributed architecture

  20. Math, blackboard and the trainers of mathematics' teachers: interpreting relations

    Directory of Open Access Journals (Sweden)

    Ana Cláudia de Melo Sanches

    2009-06-01

    Full Text Available The relation of teachers with the blackboard and the practical skills teachers developed in the educational process was and still is subject little discussed in the setting of educational research, because for a long time, the blackboard was synonymous of traditional and bank education and without any possibility of transformation didactic. The objective this work is to show important results on the subject, from the voices of some trainers of mathematics' teachers of Para, since the research identified in the constitution of trainers, personal and collective influences about particular knowledge to how use the blackboard as tool mediation in the educational space. At times and in different discourses, the blackboard was regarded as "auxiliary memory" of the construction of mathematical reasoning, and, for some trainers, mathematics is essentially visual. Thus, this article aims to contribute to theoretical discussions from the action in the classroom

  1. Lessons for Online Learning: Charter Schools' Successes and Mistakes Have a Lot to Teach Virtual Educators

    Science.gov (United States)

    Dillon, Erin; Tucker, Bill

    2011-01-01

    Advocates for virtual education say that it has the power to transform an archaic K-12 system of schooling. Instead of blackboards, schoolhouses, and a six-hour school day, interactive technology will personalize learning to meet each student's needs, ensure all students have access to quality teaching, extend learning opportunities to all hours…

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

    Science.gov (United States)

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

    2016-08-20

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

  3. Blackboard architecture and qualitative model in a computer aided assistant designed to define computers for HEP computing

    International Nuclear Information System (INIS)

    Nodarse, F.F.; Ivanov, V.G.

    1991-01-01

    Using BLACKBOARD architecture and qualitative model, an expert systm was developed to assist the use in defining the computers method for High Energy Physics computing. The COMEX system requires an IBM AT personal computer or compatible with than 640 Kb RAM and hard disk. 5 refs.; 9 figs

  4. Interorganizational learning systems

    DEFF Research Database (Denmark)

    Hjalager, Anne Mette

    1999-01-01

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

  5. You Are Not Logged In: Context and Interpersonal Meaning of Instructions and Links in a typical Learning Management System

    Directory of Open Access Journals (Sweden)

    Hakeem Olafemi Ogunmuyiwa

    2016-11-01

    Full Text Available It is common knowledge that the incorporation of Learning Management Systems (LMS in ESL/EFL instruction has enhanced learners understanding of the language just as it has helped teachers in monitoring students’ progress. However, the use of these eLearning platforms can be quite challenging for EFL learners who are yet to be proficient in the English language. This is because all course information and instructions are offered in the language. Following the notion of context and language metafunctions by Halliday (1985 and his followers, analysis of some linguistic expressions in typical learning management systems is conducted. I show how context and interpersonal meanings are established, and how they can enhance learners’ comprehension of information and instructions. The linguistic expressions used as data are sourced from student-specific pages of the web-based Learning Management System (Blackboard and the Modular Object-Oriented Dynamic Learning Environment (Moodle as adapted in colleges and institutes in Saudi Arabia.

  6. Student-Identified Strengths and Challenges of Using Blackboard for Group Projects in a Social Work Course

    Directory of Open Access Journals (Sweden)

    Melissa B. Littlefield

    2002-05-01

    Full Text Available Blackboard (TM provides social work educators integrated online communication tools that they can employ to facilitate student learning through features such as e-mail, discussion forums, file exchange, virtual classroom, and links to online resources. This study describes students’ experiences using Blackboard (TM to support a group project assignment. The majority of students found it easy to use and useful for the project, and indicated that they would like to use it in other courses. In addition, students gained technical skills as a result of the group project. Students’ group project grades and final course grades were comparable to those in other sections of the same course taught by this investigator. The findings of this study suggest that online technology can be used to facilitate group assignments for MSW students. The benefits include increased efficiency of group functioning and increased accountability of group members. The challenges include technical problems and student resistance to using the technology.

  7. Ambiguity resolution in a Neural Blackboard Architecture for sentence structure

    NARCIS (Netherlands)

    van der Velde, Frank; van der Velde, Frank; de Kamps, Marc; Besold, Tarek R.; Kühnberger, Kai-Uwe

    2015-01-01

    We simulate two examples of ambiguity resolution found in human language processing in a neural blackboard architecture for sentence representation and processing. The architecture also accounts for a related garden path effect. The architecture represents and processes sentences in terms of

  8. Non-Linear aspects of joint coordination in blackboard writing

    NARCIS (Netherlands)

    Bosga, J.; Meulenbroek, R.G.J.; Bouwhuisen, C.F.; Meulenbroek, R.G.J.; Steenbergen, B.

    2001-01-01

    The present study focuses on the inter-joint coordination of the shoulder, elbow and wrist joints in circular hand displacements that were performed in the sagittal and fronto-parallel plane. In the latter plane, the experimental task was comparable to blackboard writing. Twelve right-handed

  9. Combinatorial structures and processing in neural blackboard architectures

    NARCIS (Netherlands)

    van der Velde, Frank; van der Velde, Frank; de Kamps, Marc; Besold, Tarek R.; d'Avila Garcez, Artur; Marcus, Gary F.; Miikkulainen, Risto

    2015-01-01

    We discuss and illustrate Neural Blackboard Architectures (NBAs) as the basis for variable binding and combinatorial processing the brain. We focus on the NBA for sentence structure. NBAs are based on the notion that conceptual representations are in situ, hence cannot be copied or transported.

  10. Innovative Use of Blackboard[R] to Assess Laboratory Skills

    Science.gov (United States)

    Epping, Ronald J.

    2010-01-01

    A novel application of the popular web instruction architecture Blackboard Academic Suite[R] is described. The method was applied to a large number of students to assess quantitatively the accuracy of each student's laboratory skills. The method provided immediate feedback to students on their personal skill level, replaced labour-intensive…

  11. Teaching Dance with Online Course Management Systems

    Science.gov (United States)

    Colombi, Erika; Knosp, Suzanne

    2017-01-01

    As a result of easier access to and functionality of the Internet, online course management systems (CMSs) began to be developed in the mid-1990s. These technological tools were created to fill a need in the growing field of teaching through online courses.Most notable of these course tools are Blackboard (2015) and Desire2Learn (1999). Both of…

  12. Dynamic Interactive Learning Systems

    Science.gov (United States)

    Sabry, Khaled; Barker, Jeff

    2009-01-01

    This paper reviews and discusses the notions of interactivity and dynamicity of learning systems in relation to information technologies and design principles that can contribute to interactive and dynamic learning. It explores the concept of dynamic interactive learning systems based on the emerging generation of information as part of a…

  13. Assessing Blackboard: Improving Online Instructional Delivery

    Science.gov (United States)

    Chawdhry, Adnan A.; Paullet, Karen; Benjamin, Daniel

    2011-01-01

    Universities and colleges have been offering online classes without assessing the tools used for online learning management to determine student perceptions. An understanding of the benefits and concerns as perceived by the student population is essential to implementing an online education environment that is conducive to a student's learning.…

  14. An evaluation of the stimulus equivalence paradigm to teach single-subject design to distance education students via Blackboard.

    Science.gov (United States)

    Walker, Brooke D; Rehfeldt, Ruth Anne

    2012-01-01

    The purpose of the current study was to examine the degree to which instruction based on stimulus equivalence procedures could be used to teach single-subject design methodology to graduate-level professionals through a Web-based course management system known as Blackboard (see http://www.blackboard.com). Specifically, we used the stimulus equivalence paradigm to teach relations among the names, definitions, graphical representations of the designs, and two practical scenarios of when it would be appropriate to implement each design. Most participants demonstrated the emergence of untaught relations, and some participants showed generalization to novel vignettes and graphs. Relations largely were not maintained at follow-up but were retaught.

  15. The materiality of mathematics: presenting mathematics at the blackboard.

    Science.gov (United States)

    Greiffenhagen, Christian

    2014-09-01

    Sociology has been accused of neglecting the importance of material things in human life and the material aspects of social practices. Efforts to correct this have recently been made, with a growing concern to demonstrate the materiality of social organization, not least through attention to objects and the body. As a result, there have been a plethora of studies reporting the social construction and effects of a variety of material objects as well as studies that have explored the material dimensions of a diversity of practices. In different ways these studies have questioned the Cartesian dualism of a strict separation of 'mind' and 'body'. However, it could be argued that the idea of the mind as immaterial has not been entirely banished and lingers when it comes to discussing abstract thinking and reasoning. The aim of this article is to extend the material turn to abstract thought, using mathematics as a paradigmatic example. This paper explores how writing mathematics (on paper, blackboards, or even in the air) is indispensable for doing and thinking mathematics. The paper is based on video recordings of lectures in formal logic and investigates how mathematics is presented at the blackboard. The paper discusses the iconic character of blackboards in mathematics and describes in detail a number of inscription practices of presenting mathematics at the blackboard (such as the use of lines and boxes, the designation of particular regions for specific mathematical purposes, as well as creating an 'architecture' visualizing the overall structure of the proof). The paper argues that doing mathematics really is 'thinking with eyes and hands' (Latour 1986). Thinking in mathematics is inextricably interwoven with writing mathematics. © London School of Economics and Political Science 2014.

  16. Recommender Systems for Learning

    CERN Document Server

    Manouselis, Nikos; Verbert, Katrien; Duval, Erik

    2013-01-01

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

  17. Learning Content Management Systems

    Directory of Open Access Journals (Sweden)

    Tache JURUBESCU

    2008-01-01

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

  18. System-related Factors that Predict Students'Satisfaction with the ...

    African Journals Online (AJOL)

    This study examined students' satisfaction with the Blackboard Learning System and the factors that predict their levels of satisfaction. The sample for the study comprised 503 undergraduate students of the University of Botswana selected from seven faculties and 42 departments of the university. Data were collected ...

  19. Using Digital Photography and Image Processing for the Creation of Notes from the Blackboard

    Science.gov (United States)

    Bruun, Erik

    2009-01-01

    This paper describes a teaching experiment involving the use of a combination of traditional chalkboard and digital photography in order to produce lecture notes from the blackboard. During lecturing the blackboard is used instead of transparencies or PowerPoint presentations. This reduces the speed of presentation and leaves room for…

  20. Using digital photography and image processing for the creation of notes from the blackboard

    DEFF Research Database (Denmark)

    Bruun, Erik

    2009-01-01

    This paper describes a teaching experiment involving the use of a combination of traditional chalkboard and digital photography in order to produce lecture notes from the blackboard. During lecturing the blackboard is used instead of transparencies or PowerPoint presentations. This reduces the sp...

  1. Learning design – praktisk planlægning af et blended undervisningsforløb

    DEFF Research Database (Denmark)

    Hansen, Janne Saltoft

    I 2011 vedtog Aarhus Universitet en politik for educational it, der indeholdt visioner for anskaffelse af et nyt learning management system (LMS), undervisningsudvikling og uddannelse af undervisere. Blackboard blev anskaffet, og implementering samt uddannelse af undervisere startede i slutningen...... udvidet kursus. For at eksplicitere og kvalitetssikre undervisningsplanlægningen med educational it blev det besluttet at binde undervisningen i Blackboard op på et learning design med en central learning design-model, som skulle lægge op til at skabe sammenhængende undervisning, understøtte aktiverende...... undervisning og flipped classroom samt være praktisk anvendelig i den konkrete planlægning af undervisningsforløb. Med udgangspunkt i Godsk STREAM-model og Dee Finks Castle-top diagram blev udviklet en learning design-model som en del af et Health learning design toolkit. Modellen visualiserer sammenhængen i...

  2. From Blackboard to Blogs: Teaching English Literature in the Digital Age

    Directory of Open Access Journals (Sweden)

    Lisa Botshon

    2014-05-01

    Full Text Available This essay explores the digitization of the English literature classroom and considers its current and future incarnations. What can web-based courses offer students and teachers of English literature? How might the use of blogs, Twitter, hypertexts, and course management systems like Blackboard, among other digital tools, change the structure and very nature of literature pedagogy? These questions are particularly important to consider as our society is transformed by digital technology and during a moment in which the internet has promised inclusivity and the  democratization of culture. Concomitantly, however, the humanities have become vulnerable in our tech-focused era and digital divides among different social groups persist in higher education. Hence, we must deliberate our adoption and adaptation of digital pedagogy with great thoughtfulness and care.

  3. Learning Management Systems on Blended Learning Courses

    DEFF Research Database (Denmark)

    Kuran, Mehmet Şükrü; Pedersen, Jens Myrup; Elsner, Raphael

    2017-01-01

    This paper gives an overview of Learning Management System (LMS) features based on observations on a blended learning course under the Erasmus+ project COLIBRI. We explain the main features of LMSes under two main categories: accessibility content-related and underline the capabilities of four......, interactive content support, and content access restriction is of paramount importance for blended learning courses....

  4. A Transnational Tale of Teenage Terror: The Blackboard Jungle in Global Perspective

    Directory of Open Access Journals (Sweden)

    Adam Golub

    2015-03-01

    Full Text Available Adam Golub’s research in “A Transnational Tale of Teenage Terror: The Blackboard Jungle in Global Perspective” on the Cold War era depiction in popular film of the US educational system as plagued by juvenile violence—specifically in Blackboard Jungle (1955; based on the novel by Evan Hunter—is timely and sets into motion a series of relevant questions about the global perception of on-campus violence, US youth, and US culture. Golub focuses on the film’s reception in post-occupation Japan and West Germany in order to highlight the role of geopolitics in assessing the social and cultural “honesty” of a critical self-representation in fictional narrative, as well as the US government’s willingness or unwillingness to allow such depictions their freedom. This essay expands the transnational interpretation of the value of this film by not only comparing how different countries responded to the film but by demonstrating that the intervention of the film into the political moment affords significant insight into the inner workings of cultural diplomacy. A highly teachable essay, this work could be usefully paired with more contemporary narratives problematizing juvenile violence and educational space in US culture and elsewhere; furthermore, it highlights the transnational interpretative framework as essential to an understanding of the mutuality of the political and forms of representation when read in historical context. JTAS is grateful to Red Feather: An International Journal of Children’s Visual Culture, which originally published Adam Golub’s essay in 2012.

  5. An Examination of Which Implications New Media Platforms Can Have on Study Group Work and Learning Opportunities in the Environment of the Course Information Systems for Business

    DEFF Research Database (Denmark)

    Hougaard, Simone Quach; Trankjær, Mie Bohn; Schlichter, Bjarne Rerup

    2014-01-01

    The Information Society is characterised by its technological development; the many New Media platforms offered on the World Wide Web have changed the communication culture from a traditional one-way transaction to a co-creation culture (Mangold and Faulds 2009). This paper investigates which...... implications New Media platforms – with special emphasis on Blackboard, Facebook, Google Docs and Dropbox – have on study group work in the environment of the course Information Systems for Business (ISB) at Aarhus University. Additionally, it is investigated which opportunities these platforms potentially...... could have on the learning environment at the university, as this could be of significant importance in the future educational system. The research is based on literature about New Media and New Media’s role in collaboration and learning environments. In order to establish some empirical grounding...

  6. Class Explorations in Space: From the Blackboard and History to the Outdoors and Future

    Science.gov (United States)

    Cavicchi, Elizabeth

    2011-11-01

    Our everyday activities occur so seamlessly in the space around us as to leave us unawares of space, its properties, and our use of it. What might we notice, wonder about and learn through interacting with space exploratively? My seminar class took on that question as an opening for personal and group experiences during this semester. In the process, they observe space locally and in the sky, read historical works of science involving space, and invent and construct forms in space. All these actions arise responsively, as we respond to: physical materials and space; historical resources; our seminar participants, and future learners. Checks, revisions and further developments -- on our findings, geometrical constructions, shared or personal inferences---come about observationally and collaboratively. I teach this seminar as an expression of the research pedagogy of critical exploration, developed by Eleanor Duckworth from the work of Jean Piaget, B"arbel Inhelder and the Elementary Science Study. This practice applies the quest for understanding of a researcher to spontaneous interactions evolving within a classroom. The teacher supports students in satisfying and developing their curiosities, which often results in exploring the subject matter by routes that are novel to both teacher and student. As my students ``mess about'' with geometry, string and chalk at the blackboard, in their notebooks, and in response to propositions in Euclid's Elements, they continually imagine further novel venues for using geometry to explore space. Where might their explorations go in the future? I invite you to hear from them directly!

  7. Developing Scale for Assimilate the Integration between Learning Theories and E-learning.

    Directory of Open Access Journals (Sweden)

    George Maher Iskander

    2014-03-01

    Full Text Available As e-learning tend to get more and more significant for all kind of universities, researchers and consultants are becoming aware of the fact that a high technology approach and Blackboard do not guarantee successful teaching and learning. Thus, a move to pedagogy-based theories can be observed within the field of e-learning. This study describes the procedure of the development of an empirically-based psychometrically-sound instrument to measure instructional model for e-learning system at Middle East universities. In order to accelerate the acceptance of e-learning and implementation of institution-wide adoption of e-learning, it is important to understand students' perceptions with instructional model for e- learning. The 19-item scale developed shows a high probability of differentiating between positive and negative perceptions and the methods which can be used for embedding the traditional learning theories into e-learning.

  8. Modeling learning technology systems as business systems

    NARCIS (Netherlands)

    Avgeriou, Paris; Retalis, Symeon; Papaspyrou, Nikolaos

    2003-01-01

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

  9. A Study of the Effectiveness of Blackboard Collaborate for Conducting Synchronous Courses at Multiple Locations

    Directory of Open Access Journals (Sweden)

    Guillermo Tonsmann, PhD

    2014-08-01

    Full Text Available This paper discusses the effectiveness of the videoconferencing software Blackboard Collaborate for carrying out instruction at college level to students attending classes synchronously at multiple locations. The paper describes the motivation for this study, a brief literature review on the subject, the methodology used, and the results obtained. The main conclusion of this study is the confirmation that synchronous instruction, in general, and Blackboard Collaborate, in particular, is an effective environment for tuition of students at a distance. Based on this study, several recommendations to be used in synchronous education are provided.

  10. Is It Ethical for Patents to Be Issued for the Computer Algorithms that Affect Course Management Systems for Distance Learning?

    Science.gov (United States)

    Moreau, Nancy

    2008-01-01

    This article discusses the impact of patents for computer algorithms in course management systems. Referring to historical documents and court cases, the positive and negative aspects of software patents are presented. The key argument is the accessibility to algorithms comprising a course management software program such as Blackboard. The…

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

    Science.gov (United States)

    Chan, Tak-Wai

    1996-01-01

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

  12. Perceived Promoters of and Barriers to Use of a Learning Management System in an Undergraduate Nursing Program

    Directory of Open Access Journals (Sweden)

    Fuad Alhosban

    2018-02-01

    Full Text Available Effective presentation of information is essential in teaching and learning. We assessed the promoters of and barriers to utilization of a learning man-agement system, namely Blackboard (Blackboard Inc., Washington DC, USA, by undergraduate nursing students. We investigated their utilization of Blackboardand provided recommendations to improve their teaching and learning. We conducted a cross-sectional survey of 304 women in their second to fourth years of study using a validated questionnaire that evalu-ated their perceptions of Blackboard utilization. Data were collected be-tween January and February 2017 and analyzed using descriptive and com-parative statistics. The response rate was 67.5%. The most frequently report-ed promoters of Blackboard utilization were factors related to obtaining course specifications, materials, and grades (means: 3.54  1.18, 3.54  1.25, and 3.55  1.34, respectively. The most commonly mentioned barriers to Blackboard utilization were factors related to loss of communication and feedback from educators (mean: 4.21  1.05. Our results revealed that students experiences of using such systems are often negative, especially in terms of communication, interaction, and feedback. Investment in staff training and creation of new roles to monitor, maintain, and audit the quali-ty of such systems are recommended.

  13. CLASSIFICATION OF LEARNING MANAGEMENT SYSTEMS

    Directory of Open Access Journals (Sweden)

    Yu. B. Popova

    2016-01-01

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

  14. Integrating Learning Styles into Adaptive E-Learning System

    Science.gov (United States)

    Truong, Huong May

    2015-01-01

    This paper provides an overview and update on my PhD research project which focuses on integrating learning styles into adaptive e-learning system. The project, firstly, aims to develop a system to classify students' learning styles through their online learning behaviour. This will be followed by a study on the complex relationship between…

  15. LONS: Learning Object Negotiation System

    Science.gov (United States)

    García, Antonio; García, Eva; de-Marcos, Luis; Martínez, José-Javier; Gutiérrez, José-María; Gutiérrez, José-Antonio; Barchino, Roberto; Otón, Salvador; Hilera, José-Ramón

    This system comes up as a result of the increase of e-learning systems. It manages all relevant modules in this context, such as the association of digital rights with the contents (courses), management and payment processing on rights. There are three blocks:

  16. Learning fuzzy logic control system

    Science.gov (United States)

    Lung, Leung Kam

    1994-01-01

    The performance of the Learning Fuzzy Logic Control System (LFLCS), developed in this thesis, has been evaluated. The Learning Fuzzy Logic Controller (LFLC) learns to control the motor by learning the set of teaching values that are generated by a classical PI controller. It is assumed that the classical PI controller is tuned to minimize the error of a position control system of the D.C. motor. The Learning Fuzzy Logic Controller developed in this thesis is a multi-input single-output network. Training of the Learning Fuzzy Logic Controller is implemented off-line. Upon completion of the training process (using Supervised Learning, and Unsupervised Learning), the LFLC replaces the classical PI controller. In this thesis, a closed loop position control system of a D.C. motor using the LFLC is implemented. The primary focus is on the learning capabilities of the Learning Fuzzy Logic Controller. The learning includes symbolic representation of the Input Linguistic Nodes set and Output Linguistic Notes set. In addition, we investigate the knowledge-based representation for the network. As part of the design process, we implement a digital computer simulation of the LFLCS. The computer simulation program is written in 'C' computer language, and it is implemented in DOS platform. The LFLCS, designed in this thesis, has been developed on a IBM compatible 486-DX2 66 computer. First, the performance of the Learning Fuzzy Logic Controller is evaluated by comparing the angular shaft position of the D.C. motor controlled by a conventional PI controller and that controlled by the LFLC. Second, the symbolic representation of the LFLC and the knowledge-based representation for the network are investigated by observing the parameters of the Fuzzy Logic membership functions and the links at each layer of the LFLC. While there are some limitations of application with this approach, the result of the simulation shows that the LFLC is able to control the angular shaft position of the

  17. Learning in Artificial Neural Systems

    Science.gov (United States)

    Matheus, Christopher J.; Hohensee, William E.

    1987-01-01

    This paper presents an overview and analysis of learning in Artificial Neural Systems (ANS's). It begins with a general introduction to neural networks and connectionist approaches to information processing. The basis for learning in ANS's is then described, and compared with classical Machine learning. While similar in some ways, ANS learning deviates from tradition in its dependence on the modification of individual weights to bring about changes in a knowledge representation distributed across connections in a network. This unique form of learning is analyzed from two aspects: the selection of an appropriate network architecture for representing the problem, and the choice of a suitable learning rule capable of reproducing the desired function within the given network. The various network architectures are classified, and then identified with explicit restrictions on the types of functions they are capable of representing. The learning rules, i.e., algorithms that specify how the network weights are modified, are similarly taxonomized, and where possible, the limitations inherent to specific classes of rules are outlined.

  18. Intelligent fractions learning system: implementation

    CSIR Research Space (South Africa)

    Smith, Andrew C

    2011-05-01

    Full Text Available to capture and analyse the children?s interactions), the scalability of the system makes it attractive in applications where automatic data capture is required. This paper is structured as follows. First, we describe the objectives of the system. Next we... to fractions. Our aim with the current research project is to extend the existing UFractions learning system to incorporate automatic data capturing. ?Intelligent UFractions? allows a teacher to remotely monitor the children?s progress during...

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

    DEFF Research Database (Denmark)

    Dalsgaard, Christian

    2006-01-01

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

  20. Adaptive Device Context Based Mobile Learning Systems

    Science.gov (United States)

    Pu, Haitao; Lin, Jinjiao; Song, Yanwei; Liu, Fasheng

    2011-01-01

    Mobile learning is e-learning delivered through mobile computing devices, which represents the next stage of computer-aided, multi-media based learning. Therefore, mobile learning is transforming the way of traditional education. However, as most current e-learning systems and their contents are not suitable for mobile devices, an approach for…

  1. An Intelligent System for Determining Learning Style

    Science.gov (United States)

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

    2018-01-01

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

  2. Disability and eLearning: Opportunities and Barriers

    Directory of Open Access Journals (Sweden)

    Mike Kent

    2015-02-01

    Full Text Available This paper explores the current rising rates of online learning in higher education. It examines how disability is activated differently online and the impact of this on learning and teaching through the internet and the accessibility of two of the most popular learning management systems, Blackboard and Moodle, and the different approaches, benefits and problems associated with each system. It then explores the eLearning environment beyond the structure of a LMS to a broader digital campus that includes social networks, video hosting sites and micro blogging, where students and staff are increasingly expanding the learning and social environment in higher education. It also questions the legal and moral responsibilities of universities to make all their online activities accessible to all students, regardless of disability.

  3. Technological learning in bioenergy systems

    International Nuclear Information System (INIS)

    Junginger, Martin; Visser, Erika de; Hjort-Gregersen, Kurt; Koornneef, Joris; Raven, Rob; Faaij, Andre; Turkenburg, Wim

    2006-01-01

    The main goal of this article is to determine whether cost reductions in different bioenergy systems can be quantified using the experience curve approach, and how specific issues (arising from the complexity of biomass energy systems) can be addressed. This is pursued by case studies on biofuelled combined heat and power (CHP) plants in Sweden, global development of fluidized bed boilers and Danish biogas plants. As secondary goal, the aim is to identify learning mechanisms behind technology development and cost reduction for the biomass energy systems investigated. The case studies reveal large difficulties to devise empirical experience curves for investment costs of biomass-fuelled power plants. To some extent, this is due to lack of (detailed) data. The main reason, however, are varying plant costs due to differences in scale, fuel type, plant layout, region etc. For fluidized bed boiler plants built on a global level, progress ratios (PRs) for the price of entire plants lies approximately between 90-93% (which is typical for large plant-like technologies). The costs for the boiler section alone was found to decline much faster. The experience curve approach delivers better results, when the production costs of the final energy carrier are analyzed. Electricity from biofuelled CHP-plants yields PRs of 91-92%, i.e. an 8-9% reduction of electricity production costs with each cumulative doubling of electricity production. The experience curve for biogas production displays a PR of 85% from 1984 to the beginning of 1990, and then levels to approximately 100% until 2002. For technologies developed on a local level (e.g. biogas plants), learning-by-using and learning-by-interacting are important learning mechanism, while for CHP plants utilizing fluidized bed boilers, upscaling is probably one of the main mechanisms behind cost reductions

  4. An analysis of Implementation issues of an e-learning tool in the environment of the Management Marketing and Communication programme

    DEFF Research Database (Denmark)

    Jensen, Nanna Bak; Jensen, Kasper Duus; Schlichter, Bjarne Rerup

    2014-01-01

    of Blackboard in the “Information system for Business” course in the program Management Marketing and Communication (MMC). This article has identified the possible pitfalls of implementing an e-tool in this specific context, and has found that implementing Blackboard in ISB culture was not successful, due...

  5. IMPROVING CAUSE DETECTION SYSTEMS WITH ACTIVE LEARNING

    Data.gov (United States)

    National Aeronautics and Space Administration — IMPROVING CAUSE DETECTION SYSTEMS WITH ACTIVE LEARNING ISAAC PERSING AND VINCENT NG Abstract. Active learning has been successfully applied to many natural language...

  6. Authoring Systems Delivering Reusable Learning Objects

    Directory of Open Access Journals (Sweden)

    George Nicola Sammour

    2009-10-01

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

  7. Establishment of a Learning Management System

    International Nuclear Information System (INIS)

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

    2006-01-01

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

  8. Learning Approach and Learning: Exploring a New Technological Learning System

    Science.gov (United States)

    Aflalo, Ester; Gabay, Eyal

    2013-01-01

    This study furthers the understanding of the connections between learning approaches and learning. The research population embraced 44 males from the Jewish ultraorthodox community, who abide by distinct methods of study. One group follows the very didactic, linear and structured approach of a methodical and gradual order, while the second group…

  9. Expert Students in Social Learning Management Systems

    Science.gov (United States)

    Avogadro, Paolo; Calegari, Silvia; Dominoni, Matteo Alessandro

    2016-01-01

    Purpose: A social learning management system (social LMS) is a tool which favors social interactions and allows scholastic institutions to supervise and guide the learning process. The inclusion of the social feature to a "normal" LMS leads to the creation of educational social networks (EduSN), where the students interact and learn. The…

  10. Repetitive learning control of continuous chaotic systems

    International Nuclear Information System (INIS)

    Chen Maoyin; Shang Yun; Zhou Donghua

    2004-01-01

    Combining a shift method and the repetitive learning strategy, a repetitive learning controller is proposed to stabilize unstable periodic orbits (UPOs) within chaotic attractors in the sense of least mean square. If nonlinear parts in chaotic systems satisfy Lipschitz condition, the proposed controller can be simplified into a simple proportional repetitive learning controller

  11. Micro Learning: A Modernized Education System

    Directory of Open Access Journals (Sweden)

    Omer Jomah

    2016-03-01

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

  12. Measuring e-learning system success: language learning

    OpenAIRE

    Maier, Simone Verena

    2013-01-01

    The main objective of this master thesis is to develop and validate a comprehensive instrument for assessing e-learning systems success in the context of language learning. Based on a systematic review of literature a questionnaire was generated, empirically validated and successively improved.

  13. Computer Systems for Distributed and Distance Learning.

    Science.gov (United States)

    Anderson, M.; Jackson, David

    2000-01-01

    Discussion of network-based learning focuses on a survey of computer systems for distributed and distance learning. Both Web-based systems and non-Web-based systems are reviewed in order to highlight some of the major trends of past projects and to suggest ways in which progress may be made in the future. (Contains 92 references.) (Author/LRW)

  14. APPROACH TO ADAPTIVE LEARNING MANAGEMENT SYSTEM DESIGN

    Directory of Open Access Journals (Sweden)

    Vitaly A. Gaevoy

    2014-01-01

    Full Text Available In this paper, we describe how to increase the learning management systems effi ciency by using an adaptive approach. In our work we try and summarize the existing systems; the adaptability absence problem is discovered, programming and architectural adaptive learning management system designing approach is offered. 

  15. ENGINEERING OF UNIVERSITY INTELLIGENT LEARNING SYSTEMS

    Directory of Open Access Journals (Sweden)

    Vasiliy M. Trembach

    2016-01-01

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

  16. WEB BASED FOREIGN VOCABULARY LEARNING SYSTEM

    OpenAIRE

    AKBAL, Erhan; ULAŞ, Mustafa

    2012-01-01

    Today, learning a foreign language is of vital importance for people. Mastering vocabulary is the hardest part of the learning a second language for students. After learning grammar in the first place, vocabulary extensiveness, undoubtedly, has a great effect on turning these inputs into practical usage. Vocabulary is one of the inevitable compounds for both learning and talking a language fluently. With this designed model, it is aimed to put this matter away. A system has been built up by u...

  17. OLMS: Online Learning Management System for E-Learning

    Science.gov (United States)

    Ippakayala, Vinay Kumar; El-Ocla, Hosam

    2017-01-01

    In this paper we introduce a learning management system that provides a management system for centralized control of course content. A secure system to record lectures is implemented as a key feature of this application. This feature would be accessed through web camera and mobile recording. These features are mainly designed for e-learning…

  18. Plataforma Blackboard: treinamento dos professores para a eficácia na EaD

    Directory of Open Access Journals (Sweden)

    Daniel Serravalle de Sá

    2010-08-01

    Full Text Available http://dx.doi.org/10.5007/1807-9288.2010v6n1p124 O presente artigo faz considerações sobre o uso da plataforma Blackboard Academic Suite como ferramenta de ensino no âmbito do Departamento de Espanhol, Português e Estudos Latino-Americanos (SPLAS na Universidade de Manchester. O que se oferece é um depoimento da experiência do autor enquanto um professor-usuário dessa tecnologia aplicada ao ensino. Reflete-se aqui sobre as funcionalidades da plataforma e a questão do treinamento necessário para utilização plena do programa e o sucesso da experiência educativa.

  19. Divulging Personal Information within Learning Analytics Systems

    Science.gov (United States)

    Ifenthaler, Dirk; Schumacher, Clara

    2015-01-01

    The purpose of this study was to investigate if students are prepared to release any personal data in order to inform learning analytics systems. Besides the well-documented benefits of learning analytics, serious concerns and challenges are associated with the application of these data driven systems. Most notably, empirical evidence regarding…

  20. Recommender Systems in Technology Enhanced Learning

    NARCIS (Netherlands)

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

    2010-01-01

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

  1. Panorama of Recommender Systems to Support Learning

    NARCIS (Netherlands)

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

    2015-01-01

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

  2. Learning Markov models for stationary system behaviors

    DEFF Research Database (Denmark)

    Chen, Yingke; Mao, Hua; Jaeger, Manfred

    2012-01-01

    to a single long observation sequence, and in these situations existing automatic learning methods cannot be applied. In this paper, we adapt algorithms for learning variable order Markov chains from a single observation sequence of a target system, so that stationary system properties can be verified using...

  3. Recommender Systems in Technology Enhanced Learning

    NARCIS (Netherlands)

    Manouselis, Nikos; Drachsler, Hendrik; Vuorikari, Riina; Hummel, Hans; Koper, Rob

    2010-01-01

    Manouselis, N., Drachsler, H., Vuorikari, R., Hummel, H. G. K., & Koper, R. (2011). Recommender Systems in Technology Enhanced Learning. In P. B. Kantor, F. Ricci, L. Rokach, & B. Shapira (Eds.), Recommender Systems Handbook (pp. 387-415). Berlin: Springer.

  4. Panorama of recommender systems to support learning

    OpenAIRE

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

    2015-01-01

    This chapter presents an analysis of recommender systems in Technology-Enhanced Learning along their 15 years existence (2000-2014). All recommender systems considered for the review aim to support educational stakeholders by personalising the learning process. In this meta-review 82 recommender systems from 35 different countries have been investigated and categorised according to a given classification framework. The reviewed systems have been classified into 7 clusters according to their c...

  5. Learning Management Systems and E-Learning within Cyprus Universities

    Directory of Open Access Journals (Sweden)

    Amirkhanpour, Monaliz

    2011-01-01

    Full Text Available This paper presents an extensive research study and results on the use of existing open-source Learning Management Systems, or LMS within the public and private universities of Cyprus. The most significant objective of this research is the identification of the different types of E-Learning, i.e. Computer-Based Training (CBT, Technology-Based Learning (TBL, and Web-Based Training (WBT within Cyprus universities. The paper identifies the benefits and limitations of the main learning approaches used in higher educational institutions, i.e. synchronous and asynchronous learning, investigates the open-source LMS used in the Cypriot universities and compares their features with regards to students’ preferences for a collaborative E-Learning environment. The required data for this research study were collected from undergraduate and graduate students, alumni, faculty members, and IT professionals who currently work and/or study at the public and private universities of Cyprus. The most noteworthy recommendation of this study is the clear indication that most of the undergraduate students that extensively use the specific E-Learning platform of their university do not have a clear picture of the differences between an LMS and a VLE. This gap has to be gradually diminished in order to make optimum use of the different features offered by the specific E-Learning platform.

  6. Learning and Organizational Effectiveness: A Systems Perspective

    Science.gov (United States)

    Andreadis, Nicholas

    2009-01-01

    The challenge for leaders today is to create and develop the capability of their organization. Leaders must perceive and manage their organization as a dynamic, open system where learning is the core competence underlying innovation, growth, and sustainability. Creating a culture of learning is the first work of leadership. This article presents a…

  7. A Distributed Intelligent E-Learning System

    Science.gov (United States)

    Kristensen, Terje

    2016-01-01

    An E-learning system based on a multi-agent (MAS) architecture combined with the Dynamic Content Manager (DCM) model of E-learning, is presented. We discuss the benefits of using such a multi-agent architecture. Finally, the MAS architecture is compared with a pure service-oriented architecture (SOA). This MAS architecture may also be used within…

  8. Patterns for Designing Learning Management Systems

    NARCIS (Netherlands)

    Avgeriou, Paris; Retalis, Symeon; Papasalouros, Andreas

    2003-01-01

    Learning Management Systems are sophisticated web-based applications that are being engineered today in increasing numbers by numerous institutions and companies that want to get involved in e-learning either for providing services to third parties, or for educating and training their own people.

  9. Process Systems Engineering Education: Learning by Research

    Science.gov (United States)

    Abbas, A.; Alhammadi, H. Y.; Romagnoli, J. A.

    2009-01-01

    In this paper, we discuss our approach in teaching the final-year course Process Systems Engineering. Students are given ownership of the course by transferring to them the responsibility of learning. A project-based group environment stimulates learning while solving a real engineering problem. We discuss postgraduate student involvement and how…

  10. Design and Implementation of C-iLearning: A Cloud-Based Intelligent Learning System

    Science.gov (United States)

    Xiao, Jun; Wang, Minjuan; Wang, Lamei; Zhu, Xiaoxiao

    2013-01-01

    The gradual development of intelligent learning (iLearning) systems has prompted the changes of teaching and learning. This paper presents the architecture of an intelligent learning (iLearning) system built upon the recursive iLearning model and the key technologies associated with this model. Based on this model and the technical structure of a…

  11. Yet Another Adaptive Learning Management System Based on Felder and Silverman's Learning Styles and Mashup

    Science.gov (United States)

    Chang, Yi-Hsing; Chen, Yen-Yi; Chen, Nian-Shing; Lu, You-Te; Fang, Rong-Jyue

    2016-01-01

    This study designs and implements an adaptive learning management system based on Felder and Silverman's Learning Style Model and the Mashup technology. In this system, Felder and Silverman's Learning Style model is used to assess students' learning styles, in order to provide adaptive learning to leverage learners' learning preferences.…

  12. Building machine learning systems with Python

    CERN Document Server

    Richert, Willi

    2013-01-01

    This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and experienced the power of ML-based systems by actually working on them.This book primarily targets Python developers who want to learn about and build Machine Learning into their projects, or who want to pro

  13. 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.

  14. Feedback Design Patterns for Math Online Learning Systems

    Science.gov (United States)

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

    2017-01-01

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

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

    OpenAIRE

    Malayeri, Amin Daneshmand; Abdollahi, Jalal

    2010-01-01

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

  16. Multimedia Learning Systems Based on IEEE Learning Object Metadata (LOM).

    Science.gov (United States)

    Holzinger, Andreas; Kleinberger, Thomas; Muller, Paul

    One of the "hottest" topics in recent information systems and computer science is metadata. Learning Object Metadata (LOM) appears to be a very powerful mechanism for representing metadata, because of the great variety of LOM Objects. This is on of the reasons why the LOM standard is repeatedly cited in projects in the field of eLearning…

  17. Systems Thinking, Lean Production and Action Learning

    Science.gov (United States)

    Seddon, John; Caulkin, Simon

    2007-01-01

    Systems thinking underpins "lean" management and is best understood through action-learning as the ideas are counter-intuitive. The Toyota Production System is just that--a system; the failure to appreciate that starting-place and the advocacy of "tools" leads many to fail to grasp what is, without doubt, a significant…

  18. Theories and Research in Educational Technology and Distance Learning Instruction through Blackboard

    Science.gov (United States)

    Ouyang, John Ronghua; Stanley, Nile

    2014-01-01

    Educational technology is a fast-growing and increasingly developed subject in education during the past 50 years. The focus of the development of its theories and research is oriented into the methods and effectiveness of its implementation. This presentation is reviewing various educational technology related theories, exploring and discussing…

  19. Wat werkt beter : e-learning in de webklas geneeskunde via Blackboard of Google?

    NARCIS (Netherlands)

    Bos, Nicolaas; Holslag, Joost A.H.; Dummer, Lisa; Pols, Jan

    2017-01-01

    Probleemstelling/context De Rijksuniversiteit Groningen organiseert al jaren Webklassen als voorlichting voor middelbare scholieren. Het UMCG organiseert voor de studie geneeskunde een vier weken durende webklas geneeskunde. Tijdens de webklas leren de scholieren de manier van werken bij de

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

    Science.gov (United States)

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

    2015-01-01

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

  1. Enhancing Student Learning in Marketing Courses: An Exploration of Fundamental Principles for Website Platforms

    Science.gov (United States)

    Hollenbeck, Candice R.; Mason, Charlotte H.; Song, Ji Hee

    2011-01-01

    The design of a course has potential to help marketing students achieve their learning objectives. Marketing courses are increasingly turning to technology to facilitate teaching and learning, and pedagogical tools such as Blackboard, WebCT, and e-Learning Commons are essential to the design of a course. Here, the authors investigate the research…

  2. An Architecture for Open Learning Management Systems

    NARCIS (Netherlands)

    Avgeriou, Paris; Retalis, Simos; Skordalakis, Manolis

    2003-01-01

    There exists an urgent demand on defining architectures for Learning Management Systems, so that high-level frameworks for understanding these systems can be discovered, and quality attributes like portability, interoperability, reusability and modifiability can be achieved. In this paper we propose

  3. How Instructional Systems Will Manage Learning

    Science.gov (United States)

    Flanagan, John C.

    1970-01-01

    Discusses trends toward the systems approach in education including the development of effective instructional systems in government and industry; the introduction of teaching machines, programed learning, and computer- assisted instruction; and the increase in both the amount and sophistication of educational research and development. (JF)

  4. Assisted Learning Systems in e-Education

    Directory of Open Access Journals (Sweden)

    Gabriel ZAMFIR

    2014-01-01

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

  5. Machine learning paradigms applications in recommender systems

    CERN Document Server

    Lampropoulos, Aristomenis S

    2015-01-01

    This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender systems built on the assumption of availability of both positive and negative examples do not perform well when negative examples are rare. It is exactly this problem that the authors address in the monograph at hand. Specifically, the books approach is based on one-class classification methodologies that have been appearing in recent machine learning research. The blending of recommender systems and one-class classification provides a new very fertile field for research, innovation and development with potential applications in “big data” as well as “sparse data” problems. The book will be useful to researchers, practitioners and graduate students dealing with problems of extensive and complex data. It is intended for both the expert/researcher in the fields of Pattern Recognition, Machine Learning and ...

  6. Multidimensional Learner Model In Intelligent Learning System

    Science.gov (United States)

    Deliyska, B.; Rozeva, A.

    2009-11-01

    The learner model in an intelligent learning system (ILS) has to ensure the personalization (individualization) and the adaptability of e-learning in an online learner-centered environment. ILS is a distributed e-learning system whose modules can be independent and located in different nodes (servers) on the Web. This kind of e-learning is achieved through the resources of the Semantic Web and is designed and developed around a course, group of courses or specialty. An essential part of ILS is learner model database which contains structured data about learner profile and temporal status in the learning process of one or more courses. In the paper a learner model position in ILS is considered and a relational database is designed from learner's domain ontology. Multidimensional modeling agent for the source database is designed and resultant learner data cube is presented. Agent's modules are proposed with corresponding algorithms and procedures. Multidimensional (OLAP) analysis guidelines on the resultant learner module for designing dynamic learning strategy have been highlighted.

  7. Very Large System Dynamics Models - Lessons Learned

    Energy Technology Data Exchange (ETDEWEB)

    Jacob J. Jacobson; Leonard Malczynski

    2008-10-01

    This paper provides lessons learned from developing several large system dynamics (SD) models. System dynamics modeling practice emphasize the need to keep models small so that they are manageable and understandable. This practice is generally reasonable and prudent; however, there are times that large SD models are necessary. This paper outlines two large SD projects that were done at two Department of Energy National Laboratories, the Idaho National Laboratory and Sandia National Laboratories. This paper summarizes the models and then discusses some of the valuable lessons learned during these two modeling efforts.

  8. Online Student Learning and Earth System Processes

    Science.gov (United States)

    Mackay, R. M.

    2002-12-01

    Many students have difficulty understanding dynamical processes related to Earth's climate system. This is particularly true in Earth System Science courses designed for non-majors. It is often tempting to gloss over these conceptually difficult topics and have students spend more study time learning factual information or ideas that require rather simple linear thought processes. Even when the professor is ambitious and tackles the more difficult ideas of system dynamics in such courses, they are typically greeted with frustration and limited success. However, an understanding of generic system concepts and processes is quite arguably an essential component of any quality liberal arts education. We present online student-centered learning modules that are designed to help students explore different aspects of Earth's climate system (see http://www.cs.clark.edu/mac/physlets/GlobalPollution/maintrace.htm for a sample activity). The JAVA based learning activities are designed to: be assessable to anyone with Web access; be self-paced, engaging, and hands-on; and make use of past results from science education research. Professors can use module activities to supplement lecture, as controlled-learning-lab activities, or as stand-alone homework assignments. Acknowledgement This work was supported by NASA Office of Space Science contract NASW-98037, Atmospheric and Environmental Research Inc. of Lexington, MA., and Clark College.

  9. Information Systems in University Learning

    Directory of Open Access Journals (Sweden)

    Gheorghe SABAU

    2010-01-01

    Full Text Available The authors of this article are going to bring into light the significance, the place and the role of information systems in the university education process. At the same time they define the objectives and the target group of the subject named Economic Information Systems and state the competence gained by students by studying this subject. Special attention is given to the curriculum to be taught to students and to a suggestive enumeration of a series of economic applications that can be themes for laboratory practice and for students’ dissertation (graduation thesis.

  10. 3D Game-Based Learning System for Improving Learning Achievement in Software Engineering Curriculum

    Science.gov (United States)

    Su,Chung-Ho; Cheng, Ching-Hsue

    2013-01-01

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

  11. An Instructional and Collaborative Learning System with Content Recommendation

    Science.gov (United States)

    Zheng, Xiang-wei; Ma, Hong-wei; Li, Yan

    2013-01-01

    With the rapid development of Internet, e-learning has become a new teaching and learning mode. However, lots of e-learning systems deployed on Internet are just electronic learning materials with very limited interactivity and diagnostic capability. This paper presents an integrated e-learning environment named iCLSR. Firstly, iCLSR provides an…

  12. THE SYSTEMIC APPROACH TO TEACHING AND LEARNING ...

    African Journals Online (AJOL)

    unesco

    ABSTRACT. The systemic approach to teaching and learning (SATL) has been developed during the last decade 1-7). SATL techniques have been implemented and evaluated in many different disciplines (chemistry, biology, physics, and math) in all educational levels, but the major SATL applications have been reported ...

  13. Distance Learning Delivery Systems: Instructional Options.

    Science.gov (United States)

    Steele, Ray L.

    1993-01-01

    Discusses the availability of satellite and cable programing to provide distance education opportunities in school districts. Various delivery systems are described, including telephones with speakers, personal computers, and satellite dishes; and a sidebar provides a directory of distance learning opportunities, including telecommunications…

  14. THE SYSTEMIC APPROACH TO TEACHING AND LEARNING:

    African Journals Online (AJOL)

    Rita Wilkinson

    AJCE, 2017, 7(3), Special Issue. ISSN 2227-5835. 68. Firstly, SAQs were proposed by Fahmy and Lagowski [14] within Systemic approach to teaching and learning chemistry (SATLC) as new objective test questions, or assessment schemas that belong to the broader group of concept mapping technique. Similarly, to ...

  15. Learning System Center App Controller

    CERN Document Server

    Naeem, Nasir

    2015-01-01

    This book is intended for IT professionals working with Hyper-V, Azure cloud, VMM, and private cloud technologies who are looking for a quick way to get up and running with System Center 2012 R2 App Controller. To get the most out of this book, you should be familiar with Microsoft Hyper-V technology. Knowledge of Virtual Machine Manager is helpful but not mandatory.

  16. Learning to teach secondary mathematics using an online learning system

    Science.gov (United States)

    Cavanagh, Michael; Mitchelmore, Michael

    2011-12-01

    We report the results of a classroom study of three secondary mathematics teachers who had no prior experience teaching with technology as they began to use an online mathematics learning system in their lessons. We gave the teachers only basic instruction on how to operate the system and then observed them intensively over four school terms as they taught using it. We documented changes in the teachers' Pedagogical Technology Knowledge and subsequently classified their various roles as technology bystanders, adopters, adaptors and innovators. Results show that all teachers made some progress toward using the system in more sophisticated ways, but the improvements were not uniform across the teachers. We suggest possible reasons to explain the variation and discuss some implications for teacher professional development.

  17. Principles of e-learning systems engineering

    CERN Document Server

    Gilbert, Lester

    2008-01-01

    The book integrates the principles of software engineering with the principles of educational theory, and applies them to the problems of e-learning development, thus establishing the discipline of E-learning systems engineering. For the first time, these principles are collected and organised into the coherent framework that this book provides. Both newcomers to and established practitioners in the field are provided with integrated and grounded advice on theory and practice. The book presents strong practical and theoretical frameworks for the design and development of technology-based mater

  18. Boosting up JSL Learners' Outside-Class Learning Time with Learning Log System

    Science.gov (United States)

    Uosaki, Noriko; Ogata, Hiroaki; Mouri, Kousuke

    2015-01-01

    This paper tackles enhancing outside-class learning of JSL (Japanese as a Second Language) learners. The objective of this study is to examine the effectiveness of our developed learning log system called SCROLL (System for Capturing and Reminding of Learning Log) in terms of boosting up outside-class learning time of JSL learners in Japan. In our…

  19. A Situated Cultural Festival Learning System Based on Motion Sensing

    Science.gov (United States)

    Chang, Yi-Hsing; Lin, Yu-Kai; Fang, Rong-Jyue; Lu, You-Te

    2017-01-01

    A situated Chinese cultural festival learning system based on motion sensing is developed in this study. The primary design principle is to create a highly interactive learning environment, allowing learners to interact with Kinect through natural gestures in the designed learning situation to achieve efficient learning. The system has the…

  20. Component-Based Approach in Learning Management System Development

    Science.gov (United States)

    Zaitseva, Larisa; Bule, Jekaterina; Makarov, Sergey

    2013-01-01

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

  1. Interactive System for Polish Signed Language Learning

    Directory of Open Access Journals (Sweden)

    Karolina Olga Nurzyńska

    2006-07-01

    Full Text Available The aim of this study is to present an overview about computer singed language course with module for automatic signed language recognition as a part of language acquisition test. The idea to create an interactive sign language learning system seems to be a new one. We hope that this solution helps to overcome the barrier between the silent and hearing world. On the other hand, we concentrate our efforts to create a system for a home use that will not need any sophisticated hardware. Moreover, we put pressure on utilization of already proposed and popular description scheme. The MPEG-7 standard formally called the Multimedia Content Description Interface has been chosen. This standard provides a rich set of tools for complete multimedia content description. The most important application for sign language is the possibilities to describe static and dynamic features of objects in image sequences both. This description schema gives the opportunity to create description of signing person on required level of granularity. In the article a brief description of many suggested solutions for semiautomatic or automatic sign language recognition systems is given. Besides, there are described some implemented learning application which aim was to learn sign languages. The main groups, which could be distinguished are: animated avatars observation, messenger for deaf people, testing progress in learning sign languages by using education platforms.

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

    Science.gov (United States)

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

    2016-07-01

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

  3. Improving Student Achievement and Satisfaction by Adopting a Blended Learning Approach to Inorganic Chemistry

    Science.gov (United States)

    Williams, Neil A.; Bland, Will; Christie, Gillian

    2008-01-01

    A blended learning approach to the teaching of a level 2 inorganic chemistry module is presented. Lectures were replaced by study packs, which were supported by formative on-line assessment delivered via Blackboard and a programme of 20 workshops. Learning activities written using the Lockwood format were included in the study pack to facilitate…

  4. Learning from and with Museum Objects: Design Perspectives, Environment, and Emerging Learning Systems

    Science.gov (United States)

    Vartiainen, Henriikka; Enkenberg, Jorma

    2013-01-01

    Sociocultural approaches emphasize the systemic, context-bound nature of learning, which is mediated by other people, physical and conceptual artifacts, and tools. However, current educational systems tend not to approach learning from the systemic perspective, and mostly situate learning within classroom environments. This design-based research…

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

    Science.gov (United States)

    Chen, C L Philip; Liu, Zhulin

    2018-01-01

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

  6. Lessons learned on digital systems safety

    International Nuclear Information System (INIS)

    Sivertsen, Terje

    2005-06-01

    A decade ago, in 1994, lessons learned from Halden research activities on digital systems safety were summarized in the reports HWR-374 and HWR-375, under the title 'A Lessons Learned Report on Software Dependability'. The reports reviewed all activities made at the Halden Project in this field since 1977. As such, the reports provide a wealth of information on Halden research. At the same time, the lessons learned from the different activities are made more accessible to the reader by being summarized in terms of results, conclusions and recommendations. The present report provides a new lessons learned report, covering the Halden Project research activities in this area from 1994 to medio 2005. As before, the emphasis is on the results, conclusions and recommendations made from these activities, in particular how they can be utilized by different types of organisations, such as licensing authorities, safety assessors, power companies, and software developers. The contents of the report have been edited on the basis of input from a large number of Halden work reports, involving many different authors. Brief summaries of these reports are included in the last part of the report. (Author)

  7. INFORMATION-ANALYTICAL LEARNING MANAGEMENT SYSTEM UNIVERSITIES

    Directory of Open Access Journals (Sweden)

    Yu. Tryus

    2016-12-01

    Full Text Available We consider conceptual approaches to creation of information systems, learning management school, which uses modern methods of decision-making and simulational modeling, web-technologies. The main criteria for the selection of development tools of the system are: openness, free of charge, easy to use and independence from system software and hardware. The chosen technology and the system itself satisfies such requirements as: focus on national and international standards in the field of higher education, adherence to service-oriented architecture, ensuring stable operation with a large number of users, support for a clear division of user rights to obtain and change information resources, software modularity the final product and its ability to integrate into the corporate information system of the university

  8. The Effect of Blackboard Collaborate-Based Instruction on Pre-Service Teachers' Achievement in the EFL Teaching Methods Course at Faculties of Education for Girls

    Science.gov (United States)

    Hussein, Hussein El-ghamry Mohammad

    2016-01-01

    This study investigated the effect of Blackboard-based instruction on pre-service teachers' achievement in the teaching methods course at The Faculty of Education for Girls, in Bisha, KSA. Forty seventh-level English Department students were randomly assigned into either the experimental group (N = 20) or the control group (N = 20). While studying…

  9. Computer-Supported Co-operative Learning Systems: Interactive Group Technologies and Open Learning.

    Science.gov (United States)

    Davies, Dick

    1988-01-01

    Discussion of interactive technologies and open learning focuses on computer supported cooperative work (CSCW), especially computer based message systems, and their effects on open learning. Topics discussed include cooperative learning; distance learning; individualized instruction; local area networks; group communication; and design principles…

  10. Understanding Learning Styles, Attitudes and Intentions in Using e-Learning System: Evidence from Brunei

    Science.gov (United States)

    Seyal, Afzaal H.; Rahman, Mohd Noah A.

    2015-01-01

    This study investigates the students' learning style, their attitudes about educational technologies in general and e-learning management system (e-LMS) in particular and their behavioral intentions to use the e-learning platform in a single institution of higher learning in Brunei Darussalam. In this study, a survey, using the VARK Questionnaire…

  11. Supporting Teachers in Identifying Students' Learning Styles in Learning Management Systems: An Automatic Student Modelling Approach

    Science.gov (United States)

    Graf, Sabine; Kinshuk; Liu, Tzu-Chien

    2009-01-01

    In learning management systems (LMSs), teachers have more difficulties to notice and know how individual students behave and learn in a course, compared to face-to-face education. Enabling teachers to know their students' learning styles and making students aware of their own learning styles increases teachers' and students' understanding about…

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

    African Journals Online (AJOL)

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

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

    Science.gov (United States)

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

    2011-01-01

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

  14. Supporting and frustrating organizational learning : Exploring the role of information systems in processes of organizational learning

    NARCIS (Netherlands)

    Huysman, M.H.; van der Blonk, Heico

    1998-01-01

    In this paper we aim to gain insight in the effects information systems have on organizational learning. A theoretical framework is proposed that may serve to explore the role of information systems in processes of organizational learning. Based on the sociology of knowledge, learning is conceived

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

    Science.gov (United States)

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

    2008-01-01

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

  16. The Systemic Approach to Teaching and Learning [SATL]: A 10 ...

    African Journals Online (AJOL)

    The Systemic Approach to Teaching and Learning (SATL) is based on constructivist principles and involves the creation of closed cluster concept maps called systemic diagrams. The SATL technique encourages deep learning, as opposed to rote learning. Examples in the use of SATL methods in teaching chemistry are ...

  17. Which Recommender System Can Best Fit Social Learning Platforms?

    NARCIS (Netherlands)

    Fazeli, Soude; Loni, Babak; Drachsler, Hendrik; Sloep, Peter

    2014-01-01

    This study aims to develop a recommender system for social learning platforms that combine traditional learning management systems with commercial social networks like Facebook. We therefore take into account social interactions of users to make recommendations on learning resources. We propose to

  18. Framework for Designing Context-Aware Learning Systems

    Science.gov (United States)

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

    2018-01-01

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

  19. Digital case-based learning system in school.

    Science.gov (United States)

    Gu, Peipei; Guo, Jiayang

    2017-01-01

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

  20. Digital case-based learning system in school.

    Directory of Open Access Journals (Sweden)

    Peipei Gu

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

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

    Directory of Open Access Journals (Sweden)

    Bharath eChandrasekaran

    2014-07-01

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

  2. Towards an intelligent learning management system under blended learning trends, profiles and modeling perspectives

    CERN Document Server

    Dias, Sofia B; Hadjileontiadis, Leontios J

    2013-01-01

    This book offers useful information that evokes initiatives towards rethinking of the value, efficiency, inclusiveness, effectiveness and personalization of the intelligent learning management systems-based blended-learning environment.

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

    CERN Document Server

    Miguel, Jorge; Xhafa, Fatos

    2016-01-01

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

  4. Introduction of a learning management system at the Kilimanjaro ...

    African Journals Online (AJOL)

    Background. Medical schools in Africa face daunting challenges including faculty shortages, growing class sizes, and inadequate resources. Learning management systems (LMS) may be powerful tools for organising and presenting curricular learning materials, with the potential for monitoring and evaluation functions.

  5. Designing Effective Collaboration, Learning and Innovation Systems for Education Professionals

    NARCIS (Netherlands)

    Angehrn, Albert; Maxwell, Katrina; Luccini, Angelo; Rajola, Federico

    2009-01-01

    Angehrn, A. A., Maxwell, K., Luccini, A. M., & Rajola, F. (2009). Designing Effective Collaboration, Learning and Innovation Systems for Education Professionals. International Journal of Knowledge and Learning (IJKL), 5(3).

  6. The Impact of Learning Analytics on the Dutch Education System

    NARCIS (Netherlands)

    Drachsler, Hendrik; Stoyanov, Slavi; Specht, Marcus

    2014-01-01

    Drachsler, H., Stoyanov, S. & Specht, M. (2014, March). The Impact of Learning Analytics on the Dutch Education System. Paper presented at The 4th International Conference on Learning Analytics and Knowledge, Indianapolis, Indiana, USA.

  7. Cognitive Models for Learning to Control Dynamic Systems

    National Research Council Canada - National Science Library

    Eberhart, Russ; Hu, Xiaohui; Chen, Yaobin

    2008-01-01

    Report developed under STTR contract for topic "Cognitive models for learning to control dynamic systems" demonstrated a swarm intelligence learning algorithm and its application in unmanned aerial vehicle (UAV) mission planning...

  8. Improving Recall Using Database Management Systems: A Learning Strategy.

    Science.gov (United States)

    Jonassen, David H.

    1986-01-01

    Describes the use of microcomputer database management systems to facilitate the instructional uses of learning strategies relating to information processing skills, especially recall. Two learning strategies, cross-classification matrixing and node acquisition and integration, are highlighted. (Author/LRW)

  9. Computation in the Learning System of Cephalopods.

    Science.gov (United States)

    Young, J Z

    1991-04-01

    The memory mechanisms of cephalopods consist of a series of matrices of intersecting axes, which find associations between the signals of input events and their consequences. The tactile memory is distributed among eight such matrices, and there is also some suboesophageal learning capacity. The visual memory lies in the optic lobe and four matrices, with some re-exciting pathways. In both systems, damage to any part reduces proportionally the effectiveness of the whole memory. These matrices are somewhat like those in mammals, for instance those in the hippocampus. The first matrix in both visual and tactile systems receives signals of vision and taste, and its output serves to increase the tendency to attack or to take with the arms. The second matrix provides for the correlation of groups of signals on its neurons, which pass signals to the third matrix. Here large cells find clusters in the sets of signals. Their output re-excites those of the first lobe, unless pain occurs. In that case, this set of cells provides a record that ensures retreat. There is experimental evidence that these distributed memory systems allow for the identification of categories of visual and tactile inputs, for generalization, and for decision on appropriate behavior in the light of experience. The evidence suggests that learning in cephalopods is not localized to certain layers or "grandmother cells" but is distributed with high redundance in serial networks, with recurrent circuits.

  10. System of Consciousness Contextual as Learning Support

    Directory of Open Access Journals (Sweden)

    Jorge Eliseo Gómez Gómez

    2016-08-01

    Full Text Available With the inclusion of ubiquitous computing in education, it is intended that the student is an active agent in its formation process and interacts with its context. This paper presents the design and implementation of architecture for ubiquitous learning environments in which they integrate physical spaces with applications which are then executed by users. The system supports objects augmented with RFID tags, NFC and QR Code. Each tag contains data that uniquely identifies the resource. To validate the proposed architecture is developed experimentally tested a prototype at the end of it is done to verify that the proposed architecture improves the academic performance of students.

  11. Recommender systems for technology enhanced learning research trends and applications

    CERN Document Server

    Manouselis, Nikos; Verbert, Katrien

    2014-01-01

    Presents cutting edge research from leading experts in the growing field of Recommender Systems for Technology Enhanced Learning (RecSys TEL) International contributions are included to demonstrate the merging of various efforts and communities Topics include: Linked Data and the Social Web as Facilitators for TEL Recommender Systems in Research and Practice, Personalised Learning-Plan Recommendations in Game-Based Learning and Recommendations from Heterogeneous Sources in a Technology Enhanced Learning Ecosystem

  12. Historical problem areas: Lessons learned for expendable and reusable vehicle propulsion systems

    Science.gov (United States)

    Fester, Dale A.

    1991-01-01

    The following subject areas are covered: expendable launch vehicle lessons learned, upper stage/transfer vehicle lessons learned, shuttle systems - reuse, and reusable system issues and lessons learned.

  13. RASCAL: A Rudimentary Adaptive System for Computer-Aided Learning.

    Science.gov (United States)

    Stewart, John Christopher

    Both the background of computer-assisted instruction (CAI) systems in general and the requirements of a computer-aided learning system which would be a reasonable assistant to a teacher are discussed. RASCAL (Rudimentary Adaptive System for Computer-Aided Learning) is a first attempt at defining a CAI system which would individualize the learning…

  14. Development of a Relational Database for Learning Management Systems

    Science.gov (United States)

    Deperlioglu, Omer; Sarpkaya, Yilmaz; Ergun, Ertugrul

    2011-01-01

    In today's world, Web-Based Distance Education Systems have a great importance. Web-based Distance Education Systems are usually known as Learning Management Systems (LMS). In this article, a database design, which was developed to create an educational institution as a Learning Management System, is described. In this sense, developed Learning…

  15. Developing and Evaluating an Adaptive Business English Self-Learning System for EFL Vocabulary Learning

    OpenAIRE

    Yen-Hui Wang

    2014-01-01

    This paper developed an adaptive Business English self-learning system for EFL vocabulary learning. The components of word reoccurrence and learner engagement have been built into the system where the amount of unknown word reexposure in various customized texts increases and vocabulary enhancement tasks are added to promote learner engagement with wanted words. To evaluate the system effectiveness on EFL vocabulary learning, the experimental group read system-screened texts with immediate an...

  16. Adaptive Learning Systems: Beyond Teaching Machines

    Science.gov (United States)

    Kara, Nuri; Sevim, Nese

    2013-01-01

    Since 1950s, teaching machines have changed a lot. Today, we have different ideas about how people learn, what instructor should do to help students during their learning process. We have adaptive learning technologies that can create much more student oriented learning environments. The purpose of this article is to present these changes and its…

  17. The Impacts of System and Human Factors on Online Learning Systems Use and Learner Satisfaction

    Science.gov (United States)

    Alshare, Khaled A.; Freeze, Ronald D.; Lane, Peggy L.; Wen, H. Joseph

    2011-01-01

    Success in an online learning environment is tied to both human and system factors. This study illuminates the unique contributions of human factors (comfort with online learning, self-management of learning, and perceived Web self-efficacy) to online learning system success, which is measured in terms of usage and satisfaction. The research model…

  18. DIDACTIC ENGINEERING: DESIGNING NEW GENERATION LEARNING SYSTEMS

    Directory of Open Access Journals (Sweden)

    Nail K. Nuriyev

    2016-09-01

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

  19. The Effectiveness of the Gesture-Based Learning System (GBLS and Its Impact on Learning Experience

    Directory of Open Access Journals (Sweden)

    Moamer Ali Shakroum

    2016-06-01

    Full Text Available Several studies and experiments have been conducted in recent years to examine the value and the advantage of using the Gesture-Based Learning System (GBLS.The investigation of the influence of the GBLS mode on the learning outcomes is still scarce. Most previous studies did not address more than one category of learning outcomes (cognitive, affective outcomes, etc. at the same time when used to understand the impact of GBLS. Moreover, none of these studies considered the difference in students’ characteristics such as learning styles and spatial abilities. Therefore, a comprehensive empirical research on the impact of the GBLS mode on learning outcomes is needed. The purpose of this paper is to fill in the gap and to investigate the effectiveness of the GBLS mode on learning using Technology Mediated Learning (TML models. This study revealed that the GBLS mode has greater positive impact on students’ learning outcomes (cognitive and affective outcomes when compared with other two learning modes that are classified as Computer Simulation Software Learning (CSSL mode and conventional learning mode. In addition, this study also found that the GBLS mode is capable of serving all students with different learning styles and spatial ability levels. The results of this study revealed that the GBLS mode outperformed the existing learning methods by providing a unique learning experience that considers the differences between students. The results have also shown that the Kinect user interface can create an interactive and an enjoyable learning experience.

  20. An Intelligent Learning Diagnosis System for Web-Based Thematic Learning Platform

    Science.gov (United States)

    Huang, Chenn-Jung; Liu, Ming-Chou; Chu, San-Shine; Cheng, Chih-Lun

    2007-01-01

    This work proposes an intelligent learning diagnosis system that supports a Web-based thematic learning model, which aims to cultivate learners' ability of knowledge integration by giving the learners the opportunities to select the learning topics that they are interested, and gain knowledge on the specific topics by surfing on the Internet to…

  1. Seeking and Providing Assistance while Learning to Use Information Systems

    Science.gov (United States)

    Babin, Lisa-Marie; Tricot, Andre; Marine, Claudette

    2009-01-01

    Throughout their lives, people are faced with various learning situations, for example when they learn how to use new software, services or information systems. However, research in the field of Interactive Learning Environments shows that learners needing assistance do not systematically seek or use help, even when it is available. The aim of the…

  2. Incorporating learning theory into existing systems engineering models

    OpenAIRE

    Leo, Valentine

    2013-01-01

    Approved for public release; distribution is unlimited Systems engineering and learning theories are two major disciplines that involve preparing people to solve problems. While learning theories and their elements are apparent in the field of systems engineering, limited work has been performed on the interactions and relationship between these two disciplines. This thesis aims to establish and discuss a relationship between systems engineering and learning theories over the key phases of...

  3. Collaborative Learning Framework in Business Management Systems

    Directory of Open Access Journals (Sweden)

    Vladimir GRIGORE

    2008-01-01

    Full Text Available This paper presents a solution based on collaboration with experts and practitioner from university and ERP companies involved in process learning by training and learning by working. The solution uses CPI test to establish proper team for framework modules: Real-Time Chat Room, Discussion Forum, E-mail Support and Learning through Training. We define novice, practitioner and expert competence level based on CORONET train methodology. ERP companies have own roles for mentoring services to knowledge workers and evaluate the performance of learning process with teachers’ cooperation in learning by teaching and learning by working module.

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

    Science.gov (United States)

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

    2016-01-01

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

  5. Intelligent e-Learning Systems: An Educational Paradigm Shift

    Directory of Open Access Journals (Sweden)

    Suman Bhattacharya

    2016-12-01

    Full Text Available Learning is the long process of transforming information as well as experience into knowledge, skills, attitude and behaviors. To make up the wide gap between the demand of increasing higher education and comparatively limited resources, more and more educational institutes are looking into instructional technology. Use of online resources not only reduces the cost of education but also meet the needs of society. Intelligent e-learning has become one of the important channels to reach out to students exceeding geographic boundaries. Besides this, the characteristics of e-learning have complicated the process of education, and have brought challenges to both instructors and students. This paper will focus on the discussion of different discipline of intelligent e-learning like scaffolding based e-learning, personalized e-learning, confidence based e-learning, intelligent tutoring system, etc. to illuminate the educational paradigm shift in intelligent e-learning system.

  6. System Quality Characteristics for Selecting Mobile Learning Applications

    Directory of Open Access Journals (Sweden)

    Mohamed SARRAB

    2015-10-01

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

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

    Science.gov (United States)

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

    2011-01-01

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

  8. Evaluating Recommender Systems for Technology Enhanced Learning: A Quantitative Survey

    Science.gov (United States)

    Erdt, Mojisola; Fernandez, Alejandro; Rensing, Christoph

    2015-01-01

    The increasing number of publications on recommender systems for Technology Enhanced Learning (TEL) evidence a growing interest in their development and deployment. In order to support learning, recommender systems for TEL need to consider specific requirements, which differ from the requirements for recommender systems in other domains like…

  9. Empowering lecturers to facilitate high quality education through the use of learning technologies

    DEFF Research Database (Denmark)

    Christensen, Inger-Marie F.; Kjær, Christopher; Nielsen, Stine Piilgaard Porner

    2016-01-01

    in Adobe Connect, and asynchronous activities; wikis and written feedback in Blackboard. This approach promoted the modernization of the learning environment and enabled different forms of interaction which, documented by students’ course evaluations and exam results, resulted in a high degree of active...

  10. Using a Synchronous Online Learning Environment to Promote and Enhance Transactional Engagement beyond the Classroom

    Science.gov (United States)

    Wdowik, Steven

    2014-01-01

    Purpose: The purpose of this paper is to create a synchronous online learning community through the use of "Blackboard Collaborate!" to promote and enhance transactional engagement outside the classroom. Design/methodology/approach: This paper employs a quantitative and qualitative approach where data were sourced from a third year…

  11. Facilitating Self-Regulated Learning with Technology: Evidence for Student Motivation and Exam Improvement

    Science.gov (United States)

    Barber, Larissa K.; Bagsby, Patricia G.; Grawitch, Matthew J.; Buerck, John P.

    2011-01-01

    The authors examined the extent to which student access to the MyGrade application in Blackboard may facilitate motivation and exam improvement via grade monitoring. In support of self-regulated learning and feedback principles, students indicated that the MyGrade application helped them better monitor their course performance and increased their…

  12. MOODLE – COMPUTERIZED DISTANT LEARNING SUPPORT SYSTEM

    Directory of Open Access Journals (Sweden)

    V. A. Tunda

    2014-01-01

    Full Text Available Moodle (Modular Object-Oriented Dynamic Learning Environment is the system developed by the English-speaking community around the world for more than 10 years, supports both, offline and online training. In most cases, Moodle is used to support and connect learning face-to-face with online training, as well as with other types of learning. Moodle allows you to ask all sorts of questions and assess responses in a variety of ways. The central concept of Moodle is a course in which one or more teachers offer students resources (such as files, folders, Web pages and participate in interactive activities (such as forums, wikis, blogging, lessons, seminars, assignments, examinations. Students and teachers can change roles, mutually assess each other, share knowledge on the topics of study in the glossary and database system.In the English-speaking world, there are public sites with detailed documentation on Moodle, which is constantly verified and modified in accordance with emerging new versions of the system; Russian versions do not have public sites with detailed translation of the English-language documentation. On what and to whom you want to perform actions in the daily practice of the modern versions, only the barest of outlines on paid seminars and presentations to those who started the implementation of Moodle in your organization are given. And this despite the fact that the system has a great variety of Moodle (over 500 settings with different levels of functionality to be performed, to maintain and develop specially organized by the team of specialists. The question is not only about creating a training course in Moodle. It's about maintaining the health of the system within the institution, such as a University. Under the "health maintenance" means: availability and preservation of up-to-date documentation on system and manuals on Moodle separately for administrators, managers, teachers and students at their level, training consultants

  13. The Role of a Commander in Military Lessons Learned Systems

    Directory of Open Access Journals (Sweden)

    Zenon Waliński

    2015-06-01

    Full Text Available The aim of the paper is to investigate the role of a commander in military Lessons Learned systems. In order to achieve the aim, the paper presents (1 the architecture of the Lessons Learned capabilities in the U.S. Army, NATO and the Polish Armed Forces, (2 the commander’s role in the Lessons Learned process (3 the commander’s role in fostering Lessons Learned organisation culture. The paper is based on multiple case study analysis including Lessons Learned systems in NATO, the U.S. Army and the Polish Armed Forces.

  14. Integration of Learning Management System into University-level Teaching and Learning

    OpenAIRE

    Tserendorj, Navchaa; Tudevdagva, Uranchimeg; Heller, Ariane

    2013-01-01

    With rapid development of science and technology, introduction of the ICT different methodologies into the learning environment today becomes one of the most important factors. Application of IT tools in classroom learning in and methodology for teaching and learning processes creates number of issues, which could be solved with the help of online Learning Management System (LMS). This paper presents experiment results using of Moodle, at the course of Linear algebra and analytic geometry...

  15. ABOUT SYSTEM OF DISTANCE LEARNING IN OPEN ONLINE COURSE

    Directory of Open Access Journals (Sweden)

    V.М. Kukharenko

    2012-03-01

    Full Text Available This paper describes the first part of the open online course "E-Learning from A to Z", dedicated to the creation and development of system of distance learning (university or corporation. The results of the learning process and discussion on the workshop at NTU "KPI" in 2012 is shown the interest of teachers in a new form of online course and lack of development of personal learning environment. The open online courses can contribute to society practice.

  16. Review of Recommender Systems Algorithms Utilized in Social Networks based e-Learning Systems & Neutrosophic System

    Directory of Open Access Journals (Sweden)

    A. A. Salama

    2015-03-01

    Full Text Available In this paper, we present a review of different recommender system algorithms that are utilized in social networks based e-Learning systems. Future research will include our proposed our e-Learning system that utilizes Recommender System and Social Network. Since the world is full of indeterminacy, the neutrosophics found their place into contemporary research. The fundamental concepts of neutrosophic set, introduced by Smarandache in [21, 22, 23] and Salama et al. in [24-66].The purpose of this paper is to utilize a neutrosophic set to analyze social networks data conducted through learning activities.

  17. Building machine learning systems with Python

    CERN Document Server

    Coelho, Luis Pedro

    2015-01-01

    This book primarily targets Python developers who want to learn and use Python's machine learning capabilities and gain valuable insights from data to develop effective solutions for business problems.

  18. Building Artificial Vision Systems with Machine Learning

    Energy Technology Data Exchange (ETDEWEB)

    LeCun, Yann [New York University

    2011-02-23

    Three questions pose the next challenge for Artificial Intelligence (AI), robotics, and neuroscience. How do we learn perception (e.g. vision)? How do we learn representations of the perceptual world? How do we learn visual categories from just a few examples?

  19. Learning Analytics across a Statewide System

    Science.gov (United States)

    Buyarski, Catherine; Murray, Jim; Torstrick, Rebecca

    2017-01-01

    This chapter explores lessons learned from two different learning analytics efforts at a large, public, multicampus university--one internally developed and one vended platform. It raises questions about how to best use analytics to support students while keeping students responsible for their own learning and success.

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

    Directory of Open Access Journals (Sweden)

    Ali Alharbi

    2014-06-01

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

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

    Science.gov (United States)

    Munson, Christina Elizabeth

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

  2. Reinforcement and Systemic Machine Learning for Decision Making

    CERN Document Server

    Kulkarni, Parag

    2012-01-01

    Reinforcement and Systemic Machine Learning for Decision Making There are always difficulties in making machines that learn from experience. Complete information is not always available-or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a need to understand the impact of decisions and actions on a system over that period of time. This book takes a holistic approach to addressing that need and presents a new paradigm-creating new learning applications and, ultimately, more intelligent machines. The first book of its kind in this new an

  3. Which Recommender System Can Best Fit Social Learning Platforms?

    OpenAIRE

    Fazeli, Soude; Loni, Babak; Drachsler, Hendrik; Sloep, Peter

    2014-01-01

    In this presentation, we present a study that aims to develop a recommender system for social learning platforms that combine traditional learning management systems with commercial social networks like Facebook. We therefore take into account social interactions of users to make recommendations on learning resources. We propose to make use of graph-walking methods for improving performance of the well-known baseline algorithms. We evaluate the proposed graph-based approach in terms of their ...

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

    Directory of Open Access Journals (Sweden)

    Sanja Bauk

    2014-01-01

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

  5. Conceptualizing Debates in Learning and Educational Research: Toward a Complex Systems Conceptual Framework of Learning

    Science.gov (United States)

    Jacobson, Michael J.; Kapur, Manu; Reimann, Peter

    2016-01-01

    This article proposes a conceptual framework of learning based on perspectives and methodologies being employed in the study of complex physical and social systems to inform educational research. We argue that the contexts in which learning occurs are complex systems with elements or agents at different levels--including neuronal, cognitive,…

  6. Could a Mobile-Assisted Learning System Support Flipped Classrooms for Classical Chinese Learning?

    Science.gov (United States)

    Wang, Y.-H.

    2016-01-01

    In this study, the researcher aimed to develop a mobile-assisted learning system and to investigate whether it could promote teenage learners' classical Chinese learning through the flipped classroom approach. The researcher first proposed the structure of the Cross-device Mobile-Assisted Classical Chinese (CMACC) system according to the pilot…

  7. Learning from the Field : Innovating China's Higher Education System

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

    Learning from the Field : Innovating China's Higher Education System. Couverture du livre Learning from the Field : Innovating China's Higher Education System. Directeur(s):. Ronnie Vernooy, Li Xiaoyun, Xu Xiuli, Lu Min, et Qi Gubo. Maison(s) d'édition: Foundation Book, CRDI. 15 avril 2008. ISBN : 9788175966017.

  8. Which recommender system can best fit social learning platforms?

    NARCIS (Netherlands)

    Fazeli, Soude; Loni, Babak; Drachsler, Hendrik; Sloep, Peter

    2014-01-01

    In this presentation, we present a study that aims to develop a recommender system for social learning platforms that combine traditional learning management systems with commercial social networks like Facebook. We therefore take into account social interactions of users to make recommendations on

  9. Computerized adaptive testing item selection in computerized adaptive learning systems

    NARCIS (Netherlands)

    Eggen, Theodorus Johannes Hendrikus Maria; Eggen, T.J.H.M.; Veldkamp, B.P.

    2012-01-01

    Item selection methods traditionally developed for computerized adaptive testing (CAT) are explored for their usefulness in item-based computerized adaptive learning (CAL) systems. While in CAT Fisher information-based selection is optimal, for recovering learning populations in CAL systems item

  10. Learning from the Field : Innovating China's Higher Education System

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

    2008-04-15

    Learning from the Field : Innovating China's Higher Education System. Couverture du livre Learning from the Field : Innovating China's Higher Education System. Editor(s):. Ronnie Vernooy, Li Xiaoyun, Xu Xiuli, Lu Min, et Qi Gubo. Publisher(s):. Foundation Book, CRDI. April 15, 2008. ISBN: 9788175966017. 260 pages.

  11. Assessing the Value of E-Learning Systems

    Science.gov (United States)

    Levy, Yair

    2006-01-01

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

  12. Automatic Dialogue Scoring for a Second Language Learning System

    Science.gov (United States)

    Huang, Jin-Xia; Lee, Kyung-Soon; Kwon, Oh-Woog; Kim, Young-Kil

    2016-01-01

    This paper presents an automatic dialogue scoring approach for a Dialogue-Based Computer-Assisted Language Learning (DB-CALL) system, which helps users learn language via interactive conversations. The system produces overall feedback according to dialogue scoring to help the learner know which parts should be more focused on. The scoring measures…

  13. Learner Open Modeling in Adaptive Mobile Learning System for Supporting Student to Learn English

    Directory of Open Access Journals (Sweden)

    Van Cong Pham

    2011-10-01

    Full Text Available This paper represents a personalized context-aware mobile learning architecture for supporting student to learn English as foreign language in order to prepare for TOEFL test. We consider how to apply open learner modeling techniques to adapt contents for different learners based on context, which includes location, amount of time to learn, the manner as well as learner's knowledge in learning progress. Through negotiation with system, the editable learner model will be updated to support adaptive engine to select adaptive contents meeting learner's demands. Empirical testing results for students who used application prototype indicate that interaction user modeling is helpful in supporting learner to learn adaptive materials.

  14. The Joint Lessons Learned System and Interoperability

    Science.gov (United States)

    1989-06-02

    should not be artificially separated. 4 8 That lesson would not be learned here. Another lesson which was learned, however, was that interservice... artificially high level of support masked the continuing rivalry between the Army and Air Force over mission priorities. 6 4 In spite of Air Force...knowledge concerning joint interoperability issues and lessons learned activities. -72- MAP 2 Central African Republic Sudan sangu . Bo"oo Cameroon tuie

  15. Adaptive Landmark-Based Navigation System Using Learning Techniques

    DEFF Research Database (Denmark)

    Zeidan, Bassel; Dasgupta, Sakyasingha; Wörgötter, Florentin

    2014-01-01

    The goal-directed navigational ability of animals is an essential prerequisite for them to survive. They can learn to navigate to a distal goal in a complex environment. During this long-distance navigation, they exploit environmental features, like landmarks, to guide them towards their goal. In...... hexapod robots. As a result, it allows the robots to successfully learn to navigate to distal goals in complex environments.......The goal-directed navigational ability of animals is an essential prerequisite for them to survive. They can learn to navigate to a distal goal in a complex environment. During this long-distance navigation, they exploit environmental features, like landmarks, to guide them towards their goal....... Inspired by this, we develop an adaptive landmark-based navigation system based on sequential reinforcement learning. In addition, correlation-based learning is also integrated into the system to improve learning performance. The proposed system has been applied to simulated simple wheeled and more complex...

  16. LBS Mobile Learning System Based on Android Platform

    Directory of Open Access Journals (Sweden)

    Zhang Ya-Li

    2017-01-01

    Full Text Available In the era of mobile internet, PC-end internet services can no long satisfy people’s demands, needs for App and services on mobile phones are more urgent than ever. With increasing social competition, the concept of lifelong learning becomes more and more popular and accepted, making full use of spare time to learn at any time and any place meets updating knowledge desires of modern people, Location Based System (LBS mobile learning system based on Android platform was created under such background. In this Paper, characteristics of mobile location technology and intelligent terminal were introduced and analyzed, mobile learning system which will fulfill personalized needs of mobile learners was designed and developed on basis of location information, mobile learning can be greatly promoted and new research ideas can be expanded for mobile learning.

  17. e-Learning Management System (eLMS) -

    Data.gov (United States)

    Department of Transportation — DOT's electronic Learning Management System (eLMS) is a state-of-the-art web-based system that meets the needs of training administrators, learners, and managers and...

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

    Science.gov (United States)

    Jeong, Hwa-Young

    2014-01-01

    In recent years, traditional development techniques for e-learning systems have been changing to become more convenient and efficient. One new technology in the development of application systems includes both cloud and ubiquitous computing. Cloud computing can support learning system processes by using services while ubiquitous computing can provide system operation and management via a high performance technical process and network. In the cloud computing environment, a learning service application can provide a business module or process to the user via the internet. This research focuses on providing the learning material and processes of courses by learning units using the services in a ubiquitous computing environment. And we also investigate functions that support users' tailored materials according to their learning style. That is, we analyzed the user's data and their characteristics in accordance with their user experience. We subsequently applied the learning process to fit on their learning performance and preferences. Finally, we demonstrate how the proposed system outperforms learning effects to learners better than existing techniques. PMID:25147832

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

    Science.gov (United States)

    Jeong, Hwa-Young; Yi, Gangman

    2014-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Hwa-Young Jeong

    2014-01-01

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

  1. Eye Tracking System for Enhanced Learning Experiences

    Science.gov (United States)

    Sungkur, R. K.; Antoaroo, M. A.; Beeharry, A.

    2016-01-01

    Nowadays, we are living in a world where information is readily available and being able to provide the learner with the best suited situations and environment for his/her learning experiences is of utmost importance. In most learning environments, information is basically available in the form of written text. According to the eye-tracking…

  2. Evaluating Web-Based Learning Systems

    Science.gov (United States)

    Pergola, Teresa M.; Walters, L. Melissa

    2011-01-01

    Accounting educators continuously seek ways to effectively integrate instructional technology into accounting coursework as a means to facilitate active learning environments and address the technology-driven learning preferences of the current generation of students. Most accounting textbook publishers now provide interactive, web-based learning…

  3. Intelligent fractions learning system: conceptual design

    CSIR Research Space (South Africa)

    Laine, TH

    2010-01-01

    Full Text Available UFractions is a ubiquitous learning environment which combines mobile technology, tangible fraction blocks and a story-based game into a mathematical learning experience. In this paper the authors present a novel concept for monitoring a user’s...

  4. Games as Distributed Teaching and Learning Systems

    Science.gov (United States)

    Gee, Elisabeth; Gee, James Paul

    2017-01-01

    Background: Videogames and virtual worlds have frequently been studied as learning environments in isolation; that is, scholars have focused on understanding the features of games or virtual worlds as separate from or different than "real world" environments for learning. Although more recently, scholars have explored the teaching and…

  5. Learning object repositories as knowledge management systems

    Directory of Open Access Journals (Sweden)

    Demetrios G. Sampson

    2013-06-01

    Full Text Available Over the past years, a number of international initiatives that recognize the importance of sharing and reusing digital educational resources among educational communities through the use of Learning Object Repositories (LORs have emerged. Typically, these initiatives focus on collecting digital educational resources that are offered by their creators for open access and potential reuse. Nevertheless, most of the existing LORs are designed more as digital repositories, rather than as Knowledge Management Systems (KMS. By exploiting KMSs functionalities in LORs would bare the potential to support the organization and sharing of educational communities’ explicit knowledge (depicted in digital educational resources constructed by teachers and/or instructional designers and tacit knowledge (depicted in teachers’ and students’ experiences and interactions of using digital educational resources available in LORs. Within this context, in this paper we study the design and the implementation of fourteen operating LORs from the KMSs’ perspective, so as to identify additional functionalities that can support the management of educational communities’ explicit and tacit knowledge. Thus, we propose a list of essential LORs’ functionalities, which aim to facilitate the organization and sharing of educational communities’ knowledge. Finally, we present the added value of these functionalities by identifying their importance towards addressing the current demands of web-facilitated educational communities, as well as the knowledge management activities that they execute.

  6. Designing E-learning Model to Learn About Transportation Management System to Support Supply Chain Management with Simulation Problems

    OpenAIRE

    Wiyono, Didiek Sri; Pribadi, Sidigdoyo; Permana, Ryan

    2011-01-01

    Focus of this research is designing Transportation Management System (TMS) as e-learning media for logistic education. E-learning is the use of Internet technologies to enhance knowledge and performance. E-learning technologies offer learners control over content, learning sequence, pace of learning, time, and often media, allowing them to tailor their experiences to meet their personal learning objectives. E-learning appears to be at least as effective as classical lectures. Students do not ...

  7. Generalized projective synchronization of chaotic systems via adaptive learning control

    International Nuclear Information System (INIS)

    Yun-Ping, Sun; Jun-Min, Li; Hui-Lin, Wang; Jiang-An, Wang

    2010-01-01

    In this paper, a learning control approach is applied to the generalized projective synchronisation (GPS) of different chaotic systems with unknown periodically time-varying parameters. Using the Lyapunov–Krasovskii functional stability theory, a differential-difference mixed parametric learning law and an adaptive learning control law are constructed to make the states of two different chaotic systems asymptotically synchronised. The scheme is successfully applied to the generalized projective synchronisation between the Lorenz system and Chen system. Moreover, numerical simulations results are used to verify the effectiveness of the proposed scheme. (general)

  8. STRATEGY FOR EVALUATION AND SELECTION OF SYSTEMS FOR ELECTRONIC LEARNING

    Directory of Open Access Journals (Sweden)

    Dubravka Mandušić

    2012-12-01

    Full Text Available Today`s technology supported and accelerated learning time requires constant and continuous acquisition of new knowledge. On the other hand, it does not leave enough time for additional education. Increasing number of E-learning systems, withdraws a need for precise evaluation of functionality that those systems provide; so they could be reciprocally compared. While implementing new systems for electronic learning, it is very important to pre-evaluate existing systems in order to select the one that meets all defined parameters, with low costs/investment. Proper evaluation can save time and money.

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

    Directory of Open Access Journals (Sweden)

    Mugyenyi Raymond

    2017-10-01

    Full Text Available Information communication technology has increased globalisation in higher learning institution all over the world. This has been achieved through introduction of systems that ease operations related to information handling in the institutions. The paper assessed and analysed the information systems security performance status in higher learning institutions of Uganda. The existing policies that govern the information security have also been analysed together with the current status of information systems security in Uganda. Citations related management of information systems security and policies have been identified and analysed. A proposed model illustrating the effective management of information in higher learning institutions have been developed. Relevant recommendations and conclusions have also been developed.

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

    Directory of Open Access Journals (Sweden)

    Vasanthi Muniasamy

    2014-10-01

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

  11. Client Mobile Software Design Principles for Mobile Learning Systems

    Directory of Open Access Journals (Sweden)

    Qing Tan

    2009-01-01

    Full Text Available In a client-server mobile learning system, client mobile software must run on the mobile phone to acquire, package, and send student’s interaction data via the mobile communications network to the connected mobile application server. The server will receive and process the client data in order to offer appropriate content and learning activities. To develop the mobile learning systems there are a number of very important issues that must be addressed. Mobile phones have scarce computing resources. They consist of heterogeneous devices and use various mobile operating systems, they have limitations with their user/device interaction capabilities, high data communications cost, and must provide for device mobility and portability. In this paper we propose five principles for designing Client mobile learning software. A location-based adaptive mobile learning system is presented as a proof of concept to demonstrate the applicability of these design principles.

  12. Student Modelling in Adaptive E-Learning Systems

    Directory of Open Access Journals (Sweden)

    Clemens Bechter

    2011-09-01

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

  13. Indirect Tire Monitoring System - Machine Learning Approach

    Science.gov (United States)

    Svensson, O.; Thelin, S.; Byttner, S.; Fan, Y.

    2017-10-01

    The heavy vehicle industry has today no requirement to provide a tire pressure monitoring system by law. This has created issues surrounding unknown tire pressure and thread depth during active service. There is also no standardization for these kind of systems which means that different manufacturers and third party solutions work after their own principles and it can be hard to know what works for a given vehicle type. The objective is to create an indirect tire monitoring system that can generalize a method that detect both incorrect tire pressure and thread depth for different type of vehicles within a fleet without the need for additional physical sensors or vehicle specific parameters. The existing sensors that are connected communicate through CAN and are interpreted by the Drivec Bridge hardware that exist in the fleet. By using supervised machine learning a classifier was created for each axle where the main focus was the front axle which had the most issues. The classifier will classify the vehicles tires condition and will be implemented in Drivecs cloud service where it will receive its data. The resulting classifier is a random forest implemented in Python. The result from the front axle with a data set consisting of 9767 samples of buses with correct tire condition and 1909 samples of buses with incorrect tire condition it has an accuracy of 90.54% (0.96%). The data sets are created from 34 unique measurements from buses between January and May 2017. This classifier has been exported and is used inside a Node.js module created for Drivecs cloud service which is the result of the whole implementation. The developed solution is called Indirect Tire Monitoring System (ITMS) and is seen as a process. This process will predict bad classes in the cloud which will lead to warnings. The warnings are defined as incidents. They contain only the information needed and the bandwidth of the incidents are also controlled so incidents are created within an

  14. Distance learning in toxicology: Australia's RMIT program

    International Nuclear Information System (INIS)

    Ahokas, Jorma; Donohue, Diana; Rix, Colin; Wright, Paul

    2005-01-01

    RMIT University was the first to offer a comprehensive Masters of Toxicology in Australasia 19 years ago. In 2001 the program was transformed into two stages, leading to a Graduate Diploma and Master of Applied Science in Toxicology. Now, these programs are fully online and suitable for graduates living and working anywhere in the world. The modular distance-learning courses are specifically designed to equip students with essential skills for entering fields such as chemical and drug evaluation; risk assessment of chemicals in the workplace; environmental and food toxicology. RMIT's online course delivery system has made it possible to deliver the toxicology programs, both nationally and internationally. The learning material and interactive activities (tests and quizzes, discussion boards, chat sessions) use Blackboard and WebBoard, each with a different educational function. Students log in to a Learning Hub to access their courses. The Learning Hub enables students to extend their learning beyond the classroom to the home, workplace, library and any other location with Internet access. The teaching staff log in to the Learning Hub to maintain and administer the online programs and courses which they have developed and/or which they teach. The Learning Hub is also a communication tool for students and staff, providing access to email, a diary and announcements. The early experience of delivering a full toxicology program online is very positive. However this mode of teaching continues to present many interesting technical, educational and cultural challenges, including: the design and presentation of the material; copyright issues; internationalisation of content; interactive participation; and the assessment procedures

  15. E-learning systems intelligent techniques for personalization

    CERN Document Server

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

    2017-01-01

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

  16. Freeware eLearning Flash-ECG for learning electrocardiography.

    Science.gov (United States)

    Romanov, Kalle; Kuusi, Timo

    2009-06-01

    Electrocardiographic (ECG) analysis can be taught in eLearning programmes with suitable software that permits the effective use of basic tools such as a ruler and a magnifier, required for measurements. The Flash-ECG (Research & Development Unit for Medical Education, University of Helsinki, Finland) was developed to enable teachers and students to use scanned and archived ECGs on computer screens and classroom projectors. The software requires only a standard web browser with a Flash plug-in and can be integrated with learning environments (Blackboard/WebCT, Moodle). The Flash-ECG is freeware and is available to medical teachers worldwide.

  17. Applications of learning based systems at AREVA group

    International Nuclear Information System (INIS)

    Jeanmart, F.; Leclerc, C.

    2006-01-01

    As part of its work on advanced information systems, AREVA is exploring the use of computerized tools based on 'machine learning' techniques. Some of these studies are being carried out by EURIWARE - continuing on from previous work done by AREVA NC - focused on the supervision of complex systems. Systems based on machine learning techniques are one of the possible solutions being investigated by AREVA: knowing that the stakes are high and involve better anticipation and control and high financial considerations. (authors)

  18. Evolving fuzzy rules in a learning classifier system

    Science.gov (United States)

    Valenzuela-Rendon, Manuel

    1993-01-01

    The fuzzy classifier system (FCS) combines the ideas of fuzzy logic controllers (FLC's) and learning classifier systems (LCS's). It brings together the expressive powers of fuzzy logic as it has been applied in fuzzy controllers to express relations between continuous variables, and the ability of LCS's to evolve co-adapted sets of rules. The goal of the FCS is to develop a rule-based system capable of learning in a reinforcement regime, and that can potentially be used for process control.

  19. A Kohonen Network for Modeling Students' Learning Styles in Web 2.0 Collaborative Learning Systems

    Science.gov (United States)

    Zatarain-Cabada, Ramón; Barrón-Estrada, M. Lucia; Zepeda-Sánchez, Leopoldo; Sandoval, Guillermo; Osorio-Velazquez, J. Moises; Urias-Barrientos, J. E.

    The identification of the best learning style in an Intelligent Tutoring System must be considered essential as part of the success in the teaching process. In many implementations of automatic classifiers finding the right student learning style represents the hardest assignment. The reason is that most of the techniques work using expert groups or a set of questionnaires which define how the learning styles are assigned to students. This paper presents a novel approach for automatic learning styles classification using a Kohonen network. The approach is used by an author tool for building Intelligent Tutoring Systems running under a Web 2.0 collaborative learning platform. The tutoring systems together with the neural network can also be exported to mobile devices. We present different results to the approach working under the author tool.

  20. The endocannabinoid system and associative learning and memory in zebrafish.

    Science.gov (United States)

    Ruhl, Tim; Moesbauer, Kirstin; Oellers, Nadine; von der Emde, Gerhard

    2015-09-01

    In zebrafish the medial pallium of the dorsal telencephalon represents an amygdala homolog structure, which is crucially involved in emotional associative learning and memory. Similar to the mammalian amygdala, the medial pallium contains a high density of endocannabinoid receptor CB1. To elucidate the role of the zebrafish endocannabinoid system in associative learning, we tested the influence of acute and chronic administration of receptor agonists (THC, WIN55,212-2) and antagonists (Rimonabant, AM-281) on two different learning paradigms. In an appetitively motivated two-alternative choice paradigm, animals learned to associate a certain color with a food reward. In a second set-up, a fish shuttle-box, animals associated the onset of a light stimulus with the occurrence of a subsequent electric shock (avoidance conditioning). Once fish successfully had learned to solve these behavioral tasks, acute receptor activation or inactivation had no effect on memory retrieval, suggesting that established associative memories were stable and not alterable by the endocannabinoid system. In both learning tasks, chronic treatment with receptor antagonists improved acquisition learning, and additionally facilitated reversal learning during color discrimination. In contrast, chronic CB1 activation prevented aversively motivated acquisition learning, while different effects were found on appetitively motivated acquisition learning. While THC significantly improved behavioral performance, WIN55,212-2 significantly impaired color association. Our findings suggest that the zebrafish endocannabinoid system can modulate associative learning and memory. Stimulation of the CB1 receptor might play a more specific role in acquisition and storage of aversive learning and memory, while CB1 blocking induces general enhancement of cognitive functions. Copyright © 2015 Elsevier B.V. All rights reserved.

  1. Collaborative Learning: Group Interaction in an Intelligent Mobile-Assisted Multiple Language Learning System

    Science.gov (United States)

    Troussas, Christos; Virvou, Maria; Alepis, Efthimios

    2014-01-01

    This paper proposes a student-oriented approach tailored to effective collaboration between students using mobile phones for language learning within the life cycle of an intelligent tutoring system. For this reason, in this research, a prototype mobile application has been developed for multiple language learning that incorporates intelligence in…

  2. Using an Interactive Ubiquitous Learning System to Enhance Authentic Learning Experiences in a Cultural Heritage Course

    Science.gov (United States)

    Chin, Kai-Yi; Lee, Ko-Fong; Chen, Yen-Lin

    2018-01-01

    This paper proposes a novel interactive ubiquitous learning system (IULS) for authentically teaching a cultural heritage course and imparting relevant concepts to students. Experimental results demonstrated that learning performance was significantly improved after students used the IULS. This study also demonstrated that students using the IULS…

  3. Collective Machine Learning: Team Learning and Classification in Multi-Agent Systems

    Science.gov (United States)

    Gifford, Christopher M.

    2009-01-01

    This dissertation focuses on the collaboration of multiple heterogeneous, intelligent agents (hardware or software) which collaborate to learn a task and are capable of sharing knowledge. The concept of collaborative learning in multi-agent and multi-robot systems is largely under studied, and represents an area where further research is needed to…

  4. Drivers of Learning Management System Use in a South African Open and Distance Learning Institution

    Science.gov (United States)

    Venter, Peet; van Rensburg, Mari Jansen; Davis, Annemarie

    2012-01-01

    The study on which this article reports examined the determinants of usage of an online learning management system (LMS) by fourth level business students at a South African open and distance learning university using an extension of the widely used technology acceptance model (TAM) as a theoretical basis. A survey was conducted among students at…

  5. Effective Trust-Aware E-learning Recommender System Based on Learning Styles and Knowledge Levels

    Science.gov (United States)

    Dwivedi, Pragya; Bharadwaj, Kamal K.

    2013-01-01

    In the age of information explosion, e-learning recommender systems (ELRSs) have emerged as the most essential tool to deliver personalized learning resources to learners. Due to enormous amount of information on the web, learner faces problem in searching right information. ELRSs deal with the problem of information overload effectively and…

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

    Science.gov (United States)

    Mitchell, Alanah; Petter, Stacie; Harris, Albert L.

    2017-01-01

    Aim/Purpose: This paper provides a review of previously published work related to active learning in information systems (IS) courses. Background: There are a rising number of strategies in higher education that offer promise in regards to getting students' attention and helping them learn, such as flipped classrooms and offering courses online.…

  7. A Methodology to Obtain Learning Effective Laboratories with Learning Management System Integration

    Science.gov (United States)

    Ruano, Ildefonso; Gamez, Javier; Dormido, Sebastian; Gomez, Juan

    2016-01-01

    Online laboratories are useful and valuable resources in high education, especially in engineering studies. This work presents a methodology to create effective laboratories for learning that interact with a Learning Management System (LMS) to achieve advanced integration. It is based on pedagogical aspects and considers not only the laboratory…

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

    Science.gov (United States)

    Holmes, Kathryn A.; Prieto-Rodriguez, Elena

    2018-01-01

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

  9. The systemic approach to teaching and learning chemistry and the ...

    African Journals Online (AJOL)

    The systemic approach to teaching and learning chemistry and the big ideas of science education. ... There is substantial evidence of learning benefits from its application in the context of specific chemistry topics. In the ... We exemplify our proposal with the case of the Grade 7-9 Natural Sciences curriculum in South Africa.

  10. Learning Management System Migration: An Analysis of Stakeholder Perspectives

    Science.gov (United States)

    Ryan, Thomas G.; Toye, Mary; Charron, Kyle; Park, Gavin

    2012-01-01

    In this mixed methods study the authors describe the institution-level perceptions of stakeholders transitioning to a new learning management system (LMS). We address issues related to change, the institution's administration of the transition process, problems encountered, and realized learning via online survey data collection, analysis, and…

  11. Multimedia Learning Systems: A Future Interactive Educational Tool.

    Science.gov (United States)

    Low, Andy Lock Yen; Low, Kevin Lock Teng; Koo, Voon Chet

    2003-01-01

    Outlines the enhancement of a learning technique by the deployment of a novel multimedia learning system (MMLS). Presents a detailed overview of the MMLS starting from the content development flow to the implementation stage. This project is being launched at the Multimedia University Malaysia. Macromedia Dreamweaver and Macromedia Flash were used…

  12. Recapturing the Spirit of Learning through a Systems Approach.

    Science.gov (United States)

    Senge, Peter; Lannon-Kim, Colleen

    1991-01-01

    Orange Grove Middle School in Tucson, Arizona, is part of a movement to transform schools into learning organizations. Systems thinking, combined with the related disciplines of building a shared vision, working with mental models, team learning, and personal mastery, is the essential component. The key to effective leadership is harnessing the…

  13. An Internet Based Collaborative Distance Learning System: CODILESS.

    Science.gov (United States)

    Watabe, Kazuo; And Others

    1995-01-01

    Describes the Collaborative Distance Learning Support System (CODILESS) including its research objectives, the conceptual model, and its architecture. CODILESS supports collaborative and resource-based learning within the same environment by integrating asynchronous and synchronous multimedia communication with electronic resources on the local…

  14. Recommender Systems for Technology Enhanced Learning: Research Trends & Applications

    NARCIS (Netherlands)

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

    2014-01-01

    As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted

  15. Dataset-driven research for improving recommender systems for learning

    NARCIS (Netherlands)

    Verbert, Katrien; Drachsler, Hendrik; Manouselis, Nikos; Wolpers, Martin; Vuorikari, Riina; Duval, Erik

    2011-01-01

    Verbert, K., Drachsler, H., Manouselis, N., Wolpers, M., Vuorikari, R., & Duval, E. (2011). Dataset-driven research for improving recommender systems for learning. In Ph. Long, & G. Siemens (Eds.), Proceedings of 1st International Conference Learning Analytics & Knowledge (pp. 44-53). February,

  16. A Learning Management System Enhanced with Internet of Things Applications

    Science.gov (United States)

    Mershad, Khaleel; Wakim, Pilar

    2018-01-01

    A breakthrough in the development of online learning occurred with the utilization of Learning Management Systems (LMS) as a tool for creating, distributing, tracking, and managing various types of educational and training material. Since the appearance of the first LMS, major technological enhancements transformed this tool into a powerful…

  17. Seeking Empirical Validity in an Assurance of Learning System

    Science.gov (United States)

    Avery, Sherry L.; McWhorter, Rochell R.; Lirely, Roger; Doty, H. Harold

    2014-01-01

    Business schools have established measurement tools to support their assurance of learning (AoL) systems and to assess student achievement of learning objectives. However, business schools have not required their tools to be empirically validated, thus ensuring that they measure what they are intended to measure. The authors propose confirmatory…

  18. Intelligent Learning Management Systems: Definition, Features and Measurement of Intelligence

    Science.gov (United States)

    Fardinpour, Ali; Pedram, Mir Mohsen; Burkle, Martha

    2014-01-01

    Virtual Learning Environments have been the center of attention in the last few decades and help educators tremendously with providing students with educational resources. Since artificial intelligence was used for educational proposes, learning management system developers showed much interest in making their products smarter and more…

  19. Towards a Pattern Language for Learning Management Systems

    NARCIS (Netherlands)

    Avgeriou, Paris; Papasalouros, Andreas; Retalis, Symeon; Skordalakis, Manolis

    2003-01-01

    Learning Management Systems are sophisticated web-based applications that are being engineered today in increasing numbers by numerous institutions and companies that want to get involved in e-learning either for providing services to third parties, or for educating and training their own people.

  20. Interactive Videos Enhance Learning about Socio-Ecological Systems

    Science.gov (United States)

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

    2018-01-01

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

  1. Design and Implementation of a Cooperative Learning System for Digital Content Design Curriculum: Investigation on Learning Effectiveness and Social Presence

    Science.gov (United States)

    Huang, Ming-Shang; Hsiao, Wei-Hung; Chang, Tsung-Sheng; Hu, Mei-Huei

    2012-01-01

    The purpose of this paper is to investigate the learning effectiveness of cooperative learning system based on social presence theory. We develop a web-based cooperative learning system which contains personal module, admin module, course module, communication module, and learning records module to support the implementation of cooperative…

  2. Prototype learning and dissociable categorization systems in Alzheimer's disease.

    Science.gov (United States)

    Heindel, William C; Festa, Elena K; Ott, Brian R; Landy, Kelly M; Salmon, David P

    2013-08-01

    Recent neuroimaging studies suggest that prototype learning may be mediated by at least two dissociable memory systems depending on the mode of acquisition, with A/Not-A prototype learning dependent upon a perceptual representation system located within posterior visual cortex and A/B prototype learning dependent upon a declarative memory system associated with medial temporal and frontal regions. The degree to which patients with Alzheimer's disease (AD) can acquire new categorical information may therefore critically depend upon the mode of acquisition. The present study examined A/Not-A and A/B prototype learning in AD patients using procedures that allowed direct comparison of learning across tasks. Despite impaired explicit recall of category features in all tasks, patients showed differential patterns of category acquisition across tasks. First, AD patients demonstrated impaired prototype induction along with intact exemplar classification under incidental A/Not-A conditions, suggesting that the loss of functional connectivity within visual cortical areas disrupted the integration processes supporting prototype induction within the perceptual representation system. Second, AD patients demonstrated intact prototype induction but impaired exemplar classification during A/B learning under observational conditions, suggesting that this form of prototype learning is dependent on a declarative memory system that is disrupted in AD. Third, the surprisingly intact classification of both prototypes and exemplars during A/B learning under trial-and-error feedback conditions suggests that AD patients shifted control from their deficient declarative memory system to a feedback-dependent procedural memory system when training conditions allowed. Taken together, these findings serve to not only increase our understanding of category learning in AD, but to also provide new insights into the ways in which different memory systems interact to support the acquisition of

  3. Near East University Learning Management System Based Distant Education

    Science.gov (United States)

    Cavus, Nadire; Uzunboylu, Huseyin; Ibrahim, Dogan

    2005-01-01

    In order to establish a distant education system, it is first required to create a virtual learning system environment. A detailed literature search has revealed the existence of some "Open-Source" systems such as "Claroline, Moodle etc." Each system has been investigated in detail and it was found that "Moodle" is…

  4. E-Learning and Personalized Learning Path: A Proposal Based on the Adaptive Educational Hypermedia System

    Directory of Open Access Journals (Sweden)

    Francesco Colace

    2014-03-01

    Full Text Available The E-Learning is becoming an effective approach for the improving of quality of learning. Many institutions are adopting this approach both to improve their traditional courses both to increase the potential audience. In the last period great attention is paid in the introduction of methodologies and techniques for the adaptation of learning process to the real needs of students. In this scenario the Adaptive Educational Hypermedia System can be an effective approach. Adaptive hypermedia is a promising area of research at the crossroads of hypermedia and adaptive systems. One of the most important fields where this approach can be applied is just the e-Learning. In this context the adaptive learning resources selection and sequencing is recognized as among one of the most interesting research questions. An Adaptive Educational Hypermedia System is composed by services for the management of the Knowledge Space, the definition of a User Model, the observation of student during his learning period and, as previously said, the adaptation of the learning path according to the real needs of the students. In particular the use of ontologyཿs formalism for the modeling of the ཿknowledge space࿝ related to the course can increase the sharable of learning objects among similar courses or better contextualize their role in the course. This paper addresses the design problem of an Adaptive hypermedia system by the definition of methodologies able to manage each its components, In particular an original user, learning contents, tracking strategies and adaptation model are developed. The proposed Adaptive Educational Hypermedia System has been integrated in an e-Learning platform and an experimental campaign has been conducted. In particular the proposed approach has been introduced in three different blended courses. A comparison with traditional approach has been described and the obtained results seem to be very promising.

  5. A PEDAGOGICAL CRITICAL REVIEW OF ONLINE LEARNING SYSTEM

    Directory of Open Access Journals (Sweden)

    Dwi SULISWORO

    2016-08-01

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

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

    Directory of Open Access Journals (Sweden)

    Uğur Ayvaz

    2017-09-01

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

  7. Teaching without a Blackboard and Chalk: Conflicting Attitudes towards Using ICTs in Higher Education Teaching and Learning

    Science.gov (United States)

    Tummons, Jonathan; Fournier, Cathy; Kits, Olga; MacLeod, Anna

    2016-01-01

    This article, derived from a three-year ethnography of distributed medical education provision in a Canadian university, explores the ways in which information and communication technologies are used by teachers and students in their everyday work within technologically rich teaching environments. The environments being researched are two…

  8. Towards a lessons learned system for critical software

    International Nuclear Information System (INIS)

    Andrade, J.; Ares, J.; Garcia, R.; Pazos, J.; Rodriguez, S.; Rodriguez-Paton, A.; Silva, A.

    2007-01-01

    Failure can be a major driver for the advance of any engineering discipline and Software Engineering is no exception. But failures are useful only if lessons are learned from them. In this article we aim to make a strong defence of, and set the requirements for, lessons learned systems for safety-critical software. We also present a prototype lessons learned system that includes many of the features discussed here. We emphasize that, apart from individual organizations, lessons learned systems should target industrial sectors and even the Software Engineering community. We would like to encourage the Software Engineering community to use this kind of systems as another tool in the toolbox, which complements or enhances other approaches like, for example, standards and checklists

  9. Simulation of noisy dynamical system by Deep Learning

    Science.gov (United States)

    Yeo, Kyongmin

    2017-11-01

    Deep learning has attracted huge attention due to its powerful representation capability. However, most of the studies on deep learning have been focused on visual analytics or language modeling and the capability of the deep learning in modeling dynamical systems is not well understood. In this study, we use a recurrent neural network to model noisy nonlinear dynamical systems. In particular, we use a long short-term memory (LSTM) network, which constructs internal nonlinear dynamics systems. We propose a cross-entropy loss with spatial ridge regularization to learn a non-stationary conditional probability distribution from a noisy nonlinear dynamical system. A Monte Carlo procedure to perform time-marching simulations by using the LSTM is presented. The behavior of the LSTM is studied by using noisy, forced Van der Pol oscillator and Ikeda equation.

  10. Personal recommender system to advice learning tasks in Moodle

    NARCIS (Netherlands)

    Drachsler, Hendrik; Van den Berg, Bert; Nadolski, Rob; Berlanga, Adriana; Hummel, Hans

    2007-01-01

    Drachsler, H., Van den Berg, B., Nadolski, R., Berlanga, A., & Hummel, H. (2007). Personal recommender system to advise learning tasks in Moodle. [Software source code and documentation] Available under the three clause BSD licence, Copyright TENCompetence Foundation.

  11. Towards a lessons learned system for critical software

    Energy Technology Data Exchange (ETDEWEB)

    Andrade, J. [University of A Coruna. Campus de Elvina, s/n. 15071, A Coruna (Spain)]. E-mail: jag@udc.es; Ares, J. [University of A Coruna. Campus de Elvina, s/n. 15071, A Coruna (Spain)]. E-mail: juanar@udc.es; Garcia, R. [University of A Coruna. Campus de Elvina, s/n. 15071, A Coruna (Spain)]. E-mail: rafael@udc.es; Pazos, J. [Technical University of Madrid. Campus de Montegancedo, s/n. 28660, Boadilla del Monte, Madrid (Spain)]. E-mail: jpazos@fi.upm.es; Rodriguez, S. [University of A Coruna. Campus de Elvina, s/n. 15071, A Coruna (Spain)]. E-mail: santi@udc.es; Rodriguez-Paton, A. [Technical University of Madrid. Campus de Montegancedo, s/n. 28660, Boadilla del Monte, Madrid (Spain)]. E-mail: arpaton@fi.upm.es; Silva, A. [Technical University of Madrid. Campus de Montegancedo, s/n. 28660, Boadilla del Monte, Madrid (Spain)]. E-mail: asilva@fi.upm.es

    2007-07-15

    Failure can be a major driver for the advance of any engineering discipline and Software Engineering is no exception. But failures are useful only if lessons are learned from them. In this article we aim to make a strong defence of, and set the requirements for, lessons learned systems for safety-critical software. We also present a prototype lessons learned system that includes many of the features discussed here. We emphasize that, apart from individual organizations, lessons learned systems should target industrial sectors and even the Software Engineering community. We would like to encourage the Software Engineering community to use this kind of systems as another tool in the toolbox, which complements or enhances other approaches like, for example, standards and checklists.

  12. Active Learning of Markov Decision Processes for System Verification

    DEFF Research Database (Denmark)

    Chen, Yingke; Nielsen, Thomas Dyhre

    2012-01-01

    Formal model verification has proven a powerful tool for verifying and validating the properties of a system. Central to this class of techniques is the construction of an accurate formal model for the system being investigated. Unfortunately, manual construction of such models can be a resource...... demanding process, and this shortcoming has motivated the development of algorithms for automatically learning system models from observed system behaviors. Recently, algorithms have been proposed for learning Markov decision process representations of reactive systems based on alternating sequences...... of input/output observations. While alleviating the problem of manually constructing a system model, the collection/generation of observed system behaviors can also prove demanding. Consequently we seek to minimize the amount of data required. In this paper we propose an algorithm for learning...

  13. A Fast Platform for Interactive E-Learning Systems

    OpenAIRE

    Havel, Ondrey

    2015-01-01

    Modern e-learning systems represent a special type of web information systems. By definition, information systems are special computerized systems used to perform data operations by multiple users simultaneously. Each active user consumes an amount of hardware resources. A shortage of hardware resources can be caused by growing number of simultaneous users. Such situation can result in overall malfunctioning or slowed-down system. In order to avoid this problem, the underlying hardware system...

  14. Learning in engineered multi-agent systems

    Science.gov (United States)

    Menon, Anup

    Consider the problem of maximizing the total power produced by a wind farm. Due to aerodynamic interactions between wind turbines, each turbine maximizing its individual power---as is the case in present-day wind farms---does not lead to optimal farm-level power capture. Further, there are no good models to capture the said aerodynamic interactions, rendering model based optimization techniques ineffective. Thus, model-free distributed algorithms are needed that help turbines adapt their power production on-line so as to maximize farm-level power capture. Motivated by such problems, the main focus of this dissertation is a distributed model-free optimization problem in the context of multi-agent systems. The set-up comprises of a fixed number of agents, each of which can pick an action and observe the value of its individual utility function. An individual's utility function may depend on the collective action taken by all agents. The exact functional form (or model) of the agent utility functions, however, are unknown; an agent can only measure the numeric value of its utility. The objective of the multi-agent system is to optimize the welfare function (i.e. sum of the individual utility functions). Such a collaborative task requires communications between agents and we allow for the possibility of such inter-agent communications. We also pay attention to the role played by the pattern of such information exchange on certain aspects of performance. We develop two algorithms to solve this problem. The first one, engineered Interactive Trial and Error Learning (eITEL) algorithm, is based on a line of work in the Learning in Games literature and applies when agent actions are drawn from finite sets. While in a model-free setting, we introduce a novel qualitative graph-theoretic framework to encode known directed interactions of the form "which agents' action affect which others' payoff" (interaction graph). We encode explicit inter-agent communications in a directed

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

    Directory of Open Access Journals (Sweden)

    Alanah Mitchell

    2017-01-01

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

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

    OpenAIRE

    Mugyenyi Raymond

    2017-01-01

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

  17. Methodologies and intelligent systems for technology enhanced learning

    CERN Document Server

    Gennari, Rosella; Vitorini, Pierpaolo; Vicari, Rosa; Prieta, Fernando

    2014-01-01

    This volume presents recent research on Methodologies and Intelligent Systems for Technology Enhanced Learning. It contains the contributions of ebuTEL 2013 conference which took place in Trento, Italy, on September, 16th 2013 and of mis4TEL 2014 conference, which took take place in Salamanca, Spain, on September, 4th-6th 2014 This conference series are an open forum for discussing intelligent systems for Technology Enhanced Learning and empirical methodologies for its design or evaluation.

  18. A machine learning-based automatic currency trading system

    OpenAIRE

    Brvar, Anže

    2012-01-01

    The main goal of this thesis was to develop an automated trading system for Forex trading, which would use machine learning methods and their prediction models for deciding about trading actions. A training data set was obtained from exchange rates and values of technical indicators, which describe conditions on currency market. We estimated selected machine learning algorithms and their parameters with validation with sampling. We have prepared a set of automated trading systems with various...

  19. A Survey Of Top 10 Open Source Learning Management Systems

    Directory of Open Access Journals (Sweden)

    Mohamed R. Elabnody

    2015-08-01

    Full Text Available Open Source LMSs are fully flexible and customizable so they can be designed in line with your schoolorganizations brand image. Open Source LMSs can also be converted to social learning platforms. You can create an online community through your LMS. This paper describes the most important features in learning management systems LMS that are critical to compare and contrast depend on your system requirements. Also represents a multiple LMS providers that are designed to use in university environment.

  20. Real industry technology learning systems for tertiary teaching

    OpenAIRE

    Cosby, A; Flavel, R; McDonnell, S; Gregory, S; Trotter, M

    2017-01-01

    A collaborative project between seven universities, the SmartFarm Learning Hub (the Hub) aims to increase the knowledge and skill base of students studying agriculture and agribusiness in the latest agri-tech tools and systems. One motivation for the Hub is the current skills shortage in the agricultural industry and the challenge for university education to keep pace with the rapidly developing agri-tech systems and tools. The Hub will host numerous learning modules which use real industr...

  1. A Parametric Learning and Identification Based Robust Iterative Learning Control for Time Varying Delay Systems

    Directory of Open Access Journals (Sweden)

    Lun Zhai

    2014-01-01

    Full Text Available A parametric learning based robust iterative learning control (ILC scheme is applied to the time varying delay multiple-input and multiple-output (MIMO linear systems. The convergence conditions are derived by using the H∞ and linear matrix inequality (LMI approaches, and the convergence speed is analyzed as well. A practical identification strategy is applied to optimize the learning laws and to improve the robustness and performance of the control system. Numerical simulations are illustrated to validate the above concepts.

  2. Status Checking System of Home Appliances using machine learning

    Directory of Open Access Journals (Sweden)

    Yoon Chi-Yurl

    2017-01-01

    Full Text Available This paper describes status checking system of home appliances based on machine learning, which can be applied to existing household appliances without networking function. Designed status checking system consists of sensor modules, a wireless communication module, cloud server, android application and a machine learning algorithm. The developed system applied to washing machine analyses and judges the four-kinds of appliance’s status such as staying, washing, rinsing and spin-drying. The measurements of sensor and transmission of sensing data are operated on an Arduino board and the data are transmitted to cloud server in real time. The collected data are parsed by an Android application and injected into the machine learning algorithm for learning the status of the appliances. The machine learning algorithm compares the stored learning data with collected real-time data from the appliances. Our results are expected to contribute as a base technology to design an automatic control system based on machine learning technology for household appliances in real-time.

  3. THE SYSTEMIC APPROACH TO TEACHING AND LEARNING:

    African Journals Online (AJOL)

    Rita Wilkinson

    ABSTRACT. The main objectives of this article is to find attractive and appropriate educational strategies and methodologies that could be used in teaching and learning chemistry in order to attract new generations to appreciate studying the most important discipline in science; chemistry. Chemistry is considered as the ...

  4. Recommender System for Learning SQL Using Hints

    Science.gov (United States)

    Lavbic, Dejan; Matek, Tadej; Zrnec, Aljaž

    2017-01-01

    Today's software industry requires individuals who are proficient in as many programming languages as possible. Structured query language (SQL), as an adopted standard, is no exception, as it is the most widely used query language to retrieve and manipulate data. However, the process of learning SQL turns out to be challenging. The need for a…

  5. THE SYSTEMIC APPROACH TO TEACHING AND LEARNING:

    African Journals Online (AJOL)

    Rita Wilkinson

    (36) Chemistry teachers randomly sampled from all the secondary schools in Benue State formed the sample. .... clear that for the teacher to effectively use ICT in teaching learning, the resources and facilities for. ICT should be .... prompt and regular payment of salaries and allowances should be made available for science ...

  6. THE SYSTEMIC APPROACH TO TEACHING AND LEARNING:

    African Journals Online (AJOL)

    Rita Wilkinson

    To Ausubel, meaningful learning is a process in which new information is related to an existing relevant aspect of an individual's knowledge structure and which, correspondingly, must be the result of an overt action by the learner. Teachers can encourage this choice by using tools such as concept maps. Some theories ...

  7. Informal Learning in a Formal Educational System

    DEFF Research Database (Denmark)

    Busch, Henrik

    2001-01-01

    This paper presents findings related to a research study which aims to describe and understand some of the essential learning processes involved in changing a first-year physics student into a research scientist. One part of this study explores a common feature of most undergraduate studies in sc...

  8. systemic approach to teaching and learning chemistry

    African Journals Online (AJOL)

    unesco

    ABSTRACT. Enthusiasm is crucially needed in teaching and learning of chemistry at educational institutes. Issues and problems in achieving that end needs to be addressed on top priority. In this scenario the role of the instructor is of vital significance. A teacher can minimize the difficulties in concept building by providing ...

  9. E-Learning System Using Segmentation-Based MR Technique for Learning Circuit Construction

    Science.gov (United States)

    Takemura, Atsushi

    2016-01-01

    This paper proposes a novel e-Learning system using the mixed reality (MR) technique for technical experiments involving the construction of electronic circuits. The proposed system comprises experimenters' mobile computers and a remote analysis system. When constructing circuits, each learner uses a mobile computer to transmit image data from the…

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

    Science.gov (United States)

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

    2000-01-01

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

  11. A Conceptual Framework for Evolving, Recommender Online Learning Systems

    Science.gov (United States)

    Peiris, K. Dharini Amitha; Gallupe, R. Brent

    2012-01-01

    A comprehensive conceptual framework is developed and described for evolving recommender-driven online learning systems (ROLS). This framework describes how such systems can support students, course authors, course instructors, systems administrators, and policy makers in developing and using these ROLS. The design science information systems…

  12. Machine vision systems using machine learning for industrial product inspection

    Science.gov (United States)

    Lu, Yi; Chen, Tie Q.; Chen, Jie; Zhang, Jian; Tisler, Anthony

    2002-02-01

    Machine vision inspection requires efficient processing time and accurate results. In this paper, we present a machine vision inspection architecture, SMV (Smart Machine Vision). SMV decomposes a machine vision inspection problem into two stages, Learning Inspection Features (LIF), and On-Line Inspection (OLI). The LIF is designed to learn visual inspection features from design data and/or from inspection products. During the OLI stage, the inspection system uses the knowledge learnt by the LIF component to inspect the visual features of products. In this paper we will present two machine vision inspection systems developed under the SMV architecture for two different types of products, Printed Circuit Board (PCB) and Vacuum Florescent Displaying (VFD) boards. In the VFD board inspection system, the LIF component learns inspection features from a VFD board and its displaying patterns. In the PCB board inspection system, the LIF learns the inspection features from the CAD file of a PCB board. In both systems, the LIF component also incorporates interactive learning to make the inspection system more powerful and efficient. The VFD system has been deployed successfully in three different manufacturing companies and the PCB inspection system is the process of being deployed in a manufacturing plant.

  13. Fixed Point Learning Based Intelligent Traffic Control System

    Science.gov (United States)

    Zongyao, Wang; Cong, Sui; Cheng, Shao

    2017-10-01

    Fixed point learning has become an important tool to analyse large scale distributed system such as urban traffic network. This paper presents a fixed point learning based intelligence traffic network control system. The system applies convergence property of fixed point theorem to optimize the traffic flow density. The intelligence traffic control system achieves maximum road resources usage by averaging traffic flow density among the traffic network. The intelligence traffic network control system is built based on decentralized structure and intelligence cooperation. No central control is needed to manage the system. The proposed system is simple, effective and feasible for practical use. The performance of the system is tested via theoretical proof and simulations. The results demonstrate that the system can effectively solve the traffic congestion problem and increase the vehicles average speed. It also proves that the system is flexible, reliable and feasible for practical use.

  14. E-Learning System for Learning Virtual Circuit Making with a Microcontroller and Programming to Control a Robot

    Science.gov (United States)

    Takemura, Atsushi

    2015-01-01

    This paper proposes a novel e-Learning system for learning electronic circuit making and programming a microcontroller to control a robot. The proposed e-Learning system comprises a virtual-circuit-making function for the construction of circuits with a versatile, Arduino microcontroller and an educational system that can simulate behaviors of…

  15. Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System.

    Science.gov (United States)

    Jiang, Yizhang; Wu, Dongrui; Deng, Zhaohong; Qian, Pengjiang; Wang, Jun; Wang, Guanjin; Chung, Fu-Lai; Choi, Kup-Sze; Wang, Shitong

    2017-12-01

    Recognition of epileptic seizures from offline EEG signals is very important in clinical diagnosis of epilepsy. Compared with manual labeling of EEG signals by doctors, machine learning approaches can be faster and more consistent. However, the classification accuracy is usually not satisfactory for two main reasons: the distributions of the data used for training and testing may be different, and the amount of training data may not be enough. In addition, most machine learning approaches generate black-box models that are difficult to interpret. In this paper, we integrate transductive transfer learning, semi-supervised learning and TSK fuzzy system to tackle these three problems. More specifically, we use transfer learning to reduce the discrepancy in data distribution between the training and testing data, employ semi-supervised learning to use the unlabeled testing data to remedy the shortage of training data, and adopt TSK fuzzy system to increase model interpretability. Two learning algorithms are proposed to train the system. Our experimental results show that the proposed approaches can achieve better performance than many state-of-the-art seizure classification algorithms.

  16. Learning priors for Bayesian computations in the nervous system.

    Directory of Open Access Journals (Sweden)

    Max Berniker

    Full Text Available Our nervous system continuously combines new information from our senses with information it has acquired throughout life. Numerous studies have found that human subjects manage this by integrating their observations with their previous experience (priors in a way that is close to the statistical optimum. However, little is known about the way the nervous system acquires or learns priors. Here we present results from experiments where the underlying distribution of target locations in an estimation task was switched, manipulating the prior subjects should use. Our experimental design allowed us to measure a subject's evolving prior while they learned. We confirm that through extensive practice subjects learn the correct prior for the task. We found that subjects can rapidly learn the mean of a new prior while the variance is learned more slowly and with a variable learning rate. In addition, we found that a Bayesian inference model could predict the time course of the observed learning while offering an intuitive explanation for the findings. The evidence suggests the nervous system continuously updates its priors to enable efficient behavior.

  17. THE TYPES OF COMMUNICATIONS IN THE SYSTEM OF DISTANCE LEARNING

    Directory of Open Access Journals (Sweden)

    Михаил Михайлович Пьянников

    2013-04-01

    Full Text Available Today internet is an area where practically any kind of information is available. Most of modern pupils use the Internet for the purpose of communication, realisation of creative needs and study. The use of the Internet plays the leading role in the modern system of distance learning and makes it possible for students to develop, study and realize themselves. The methods, principles and technology of distance learning are widely described in the scientific literature, but not much attention is paid to the peculiarities of interaction and communication in the system of distance learning. In this connection the purpose of study is to find out the kinds of communication and to determine the role of each of the structure element in the system of distance learning. In the result of study there were found out the pedagogical conditions, necessary for the effective net interaction of the participants of distance learning.  The sphere of results application includes the conclusions received in the result of study can be used both in theory and in practice of distance learning. The main ideas of work are particularly important at the stage of model development of distance learning.DOI: http://dx.doi.org/10.12731/2218-7405-2013-1-34

  18. GALILEE: AN INTERNET WEB BASED DISTANCE LEARNING SUPPORT SYSTEM

    Directory of Open Access Journals (Sweden)

    Arthur Budiman

    1999-01-01

    Full Text Available This paper presents a project of Web-based Distance Learning support system. The system has been built based on the Internet and World Wide Web facility. The system could be accessed with a web browser which is directed to a certain web server address so that students can do learning process just like in the real situation, such as student admissions, taking course materials, syllabus, assignments, students grades, class discussions through web, and doing online quizzes. Students could also join collaboration works by giving opinions, feedback and student produced paper/web which can be shared to the entire learning community. Therefore, it will build a collaborative learning environment where lectures together with students make constructive knowledge databases for entire learning community. This system has been developed based on Active Server Pages (ASP technology from Microsoft which is embedded in a web server. Web pages reside in a web server which is connected to an SQL Database Server. Database server is used to store structured data such as lectures/students personal information, course lists, syllabus and its descriptions, announcement texts from lecturers, commentaries for discussion forum, student's study evaluations, scores for each assignment, quizzes for each course, assignments text from lectures, assignments which are collected by students and students contribution/materials. This system has been maintained by an administrator for maintaining and developing web pages using HTML. The administrator also does ASP scripts programming to convert web pages into active server pages. Lectures and students could contribute some course materials and share their ideas through their web browser. This web-based collaborative learning system gives the students more active role in the information gathering and learning process, making the distance students feel part of a learning community, therefore increasing motivation, comprehension and

  19. CREATING TEACHING AND LEARNING OBJECTS THROUGH INTERACTIVE DIGITAL BLACKBOARD (IDB

    Directory of Open Access Journals (Sweden)

    Carles Dorado Perea

    2011-04-01

    Full Text Available The virtual Laboratory of Educative Technology is a research and development project which has been funded by the 2009 research grant at the Universitat Autònoma de Barcelona UAB, (Spain. Its aim is to improve the IT skills of both lecturers and students, in the use of technological tools, like the IDB, with the purpose of triggering the processes of information communication in the classroom. Ultimately it focuses in an improvement in the processes of education and learning.This article describes the experience carried out in the Research Group of Methodologies in Education and Multimedia (MEM at the Education Faculty at UAB. Through interactive and collaborative communication in Internet, it has been selecting, designing and creating materials and situations.The incorporation of this simple and reasonable technology, in its diverse modalities, as well as being user-friendly, allows the participant the double perspective of action and reflection. It also allows for an analysis and evaluation of the generation process, obtention of results, encouraging therefore dynamic collaboration and the generation knowledge.

  20. Layered Learning in Multi-Agent Systems

    Science.gov (United States)

    1998-12-15

    exploitation rate. 1One notable exception is TD-Gammon [ Tesauro 94], which achieved champion status in backgammon using RL. It dealt successfully with...Even the relatively complex backgammon [ Tesauro 94] and elevator control [Crites and Barto 96] domains have much smaller state space than the...Packet routing in dynamically changing networks: A reinforcement learning approach. In J. D. Cowan, G. Tesauro , and J. Alspector, editors, Advances

  1. Integrating visual learning within a model-based ATR system

    Science.gov (United States)

    Carlotto, Mark; Nebrich, Mark

    2017-05-01

    Automatic target recognition (ATR) systems, like human photo-interpreters, rely on a variety of visual information for detecting, classifying, and identifying manmade objects in aerial imagery. We describe the integration of a visual learning component into the Image Data Conditioner (IDC) for target/clutter and other visual classification tasks. The component is based on an implementation of a model of the visual cortex developed by Serre, Wolf, and Poggio. Visual learning in an ATR context requires the ability to recognize objects independent of location, scale, and rotation. Our method uses IDC to extract, rotate, and scale image chips at candidate target locations. A bootstrap learning method effectively extends the operation of the classifier beyond the training set and provides a measure of confidence. We show how the classifier can be used to learn other features that are difficult to compute from imagery such as target direction, and to assess the performance of the visual learning process itself.

  2. Developing a Taxonomy of Characteristics and Features of Learning Systems and Internet Gaming Environments

    Science.gov (United States)

    2006-09-01

    Lectures 5. Self Learning or Autodidacticism 6. Cooperative Learning 7. Collaborative Learning 8. Internship 9. Game Based Learning System or Serious...session 1.5 Self-learning or Autodidacticism In self-learning an enthusiastic person with high degree of self-motivation teaches himself/herself

  3. Learning and Memory... and the Immune System

    Science.gov (United States)

    Marin, Ioana; Kipnis, Jonathan

    2013-01-01

    The nervous system and the immune system are two main regulators of homeostasis in the body. Communication between them ensures normal functioning of the organism. Immune cells and molecules are required for sculpting the circuitry and determining the activity of the nervous system. Within the parenchyma of the central nervous system (CNS),…

  4. Conducting a Qualitative Return on Investment: Determining Whether to Migrate to Blackboard[TM

    Science.gov (United States)

    Conn, Cynthia; Roberts, Stephanie

    2004-01-01

    In 1998, a state university received grant funding to convert their Special Education Blindness and Visual Impairment graduate degree program to an online format. At that time, commercial web course management systems were not accessible to blind and visually impaired users. As a result, grant designers developed a custom, accessible platform,…

  5. Technology learning in a small open economy-The systems, modelling and exploiting the learning effect

    International Nuclear Information System (INIS)

    Martinsen, Thomas

    2011-01-01

    This paper reviews the characteristics of technology learning and discusses its application in energy system modelling in a global-local perspective. Its influence on the national energy system, exemplified by Norway, is investigated using a global and national Markal model. The dynamic nature of the learning system boundary and coupling between the national energy system and the global development and manufacturing system is elaborated. Some criteria important for modelling of spillover are suggested. Particularly, to ensure balance in global energy demand and supply and accurately reflect alternative global pathways spillover for all technologies as well as energy carrier cost/prices should be estimated under the same global scenario. The technology composition, CO 2 emissions and system cost in Norway up to 2050 exhibit sensitivity to spillover. Moreover, spillover may reduce both CO 2 emissions and total system cost. National energy system analysis of low carbon society should therefore consider technology development paths in global policy scenarios. Without the spillover from international deployment a domestic technology relies only on endogenous national learning. However, with high but realistic learning rates offshore floating wind may become cost-efficient even if initially deployed only in Norwegian niche markets. - Research highlights: → Spillover for all technologies should emanate from the same global scenario. → A global model is called for to estimate spillover.→ Spillover may reduce CO 2 emissions and the total system cost in a small open economy. → Off-shore floating wind may become cost-efficient in a national niche market.

  6. An Improved Reinforcement Learning System Using Affective Factors

    Directory of Open Access Journals (Sweden)

    Takashi Kuremoto

    2013-07-01

    Full Text Available As a powerful and intelligent machine learning method, reinforcement learning (RL has been widely used in many fields such as game theory, adaptive control, multi-agent system, nonlinear forecasting, and so on. The main contribution of this technique is its exploration and exploitation approaches to find the optimal solution or semi-optimal solution of goal-directed problems. However, when RL is applied to multi-agent systems (MASs, problems such as “curse of dimension”, “perceptual aliasing problem”, and uncertainty of the environment constitute high hurdles to RL. Meanwhile, although RL is inspired by behavioral psychology and reward/punishment from the environment is used, higher mental factors such as affects, emotions, and motivations are rarely adopted in the learning procedure of RL. In this paper, to challenge agents learning in MASs, we propose a computational motivation function, which adopts two principle affective factors “Arousal” and “Pleasure” of Russell’s circumplex model of affects, to improve the learning performance of a conventional RL algorithm named Q-learning (QL. Compared with the conventional QL, computer simulations of pursuit problems with static and dynamic preys were carried out, and the results showed that the proposed method results in agents having a faster and more stable learning performance.

  7. Concentrated photovoltaics system costs and learning curve analysis

    Science.gov (United States)

    Haysom, Joan E.; Jafarieh, Omid; Anis, Hanan; Hinzer, Karin

    2013-09-01

    An extensive set of costs in /W for the installed costs of CPV systems has been amassed from a range of public sources, including both individual company prices and market reports. Cost reductions over time are very evident, with current prices for 2012 in the range of 3.0 ± 0.7 /W and a predicted cost of 1.5 /W for 2020. Cost data is combined with deployment volumes in a learning curve analysis, providing a fitted learning rate of either 18.5% or 22.3% depending on the methodology. This learning rate is compared to that of PV modules and PV installed systems, and the influence of soft costs is discussed. Finally, if an annual growth rate of 39% is assumed for deployed volumes, then, using the learning rate of 20%, this would predict the achievement of a cost point of 1.5 /W by 2016.

  8. The Effectiveness of SDMs in the Development of E-Learning Systems in South Africa

    Science.gov (United States)

    van Aswegen, Kobus; Huisman, Magda; Taylor, Estelle

    2014-01-01

    E-learning systems, or learning management systems, as it is known in the field, sit at the heart of educational systems and are used to systematically deliver on-line content and facilitate the learning experience around that content. It becomes essential to ensure that Learning Management Systems of a high standard are being developed. In the…

  9. Time-Decayed User Profile for Second Language Vocabulary Learning System

    Science.gov (United States)

    Li, Li; Wei, Xiao

    2014-01-01

    Vocabulary learning is the foundation of second language learning. Many E-learning systems have been developed to help learners to learn vocabulary efficiently. Most of these systems employ Ebbinghaus Forgetting Curve to make the review schedule for learners. However, learners are different in learning ability and the review schedule based on…

  10. Fuzzy self-learning control for magnetic servo system

    Science.gov (United States)

    Tarn, J. H.; Kuo, L. T.; Juang, K. Y.; Lin, C. E.

    1994-01-01

    It is known that an effective control system is the key condition for successful implementation of high-performance magnetic servo systems. Major issues to design such control systems are nonlinearity; unmodeled dynamics, such as secondary effects for copper resistance, stray fields, and saturation; and that disturbance rejection for the load effect reacts directly on the servo system without transmission elements. One typical approach to design control systems under these conditions is a special type of nonlinear feedback called gain scheduling. It accommodates linear regulators whose parameters are changed as a function of operating conditions in a preprogrammed way. In this paper, an on-line learning fuzzy control strategy is proposed. To inherit the wealth of linear control design, the relations between linear feedback and fuzzy logic controllers have been established. The exercise of engineering axioms of linear control design is thus transformed into tuning of appropriate fuzzy parameters. Furthermore, fuzzy logic control brings the domain of candidate control laws from linear into nonlinear, and brings new prospects into design of the local controllers. On the other hand, a self-learning scheme is utilized to automatically tune the fuzzy rule base. It is based on network learning infrastructure; statistical approximation to assign credit; animal learning method to update the reinforcement map with a fast learning rate; and temporal difference predictive scheme to optimize the control laws. Different from supervised and statistical unsupervised learning schemes, the proposed method learns on-line from past experience and information from the process and forms a rule base of an FLC system from randomly assigned initial control rules.

  11. 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.

  12. Expertise, motivation and teaching in learning companion systems

    OpenAIRE

    Uresti, Jorge Adolfo Ramirez; du Boulay, Benedict

    2004-01-01

    This paper describes work carried out to explore the role of a learning companion as a teachable student of the human student. A LCS for Binary Boolean Algebra has been developed to explore the hypothesis that a learning companion with less expertise than the human student would be beneficial if the student taught it. The system implemented two companions with different expertise and two types of motivational conditions. An empirical evaluation was conducted. Although significant differential...

  13. Active learning and generic competences in an operating systems course

    OpenAIRE

    Pérez Martínez, Jorge Enrique; García Martín, Javier; Muñoz Fernández, Isabel; Sierra Alonso, Almudena

    2010-01-01

    The Bologna Declaration and the implementation of the European Higher Education Area are promoting the use of active learning methodologies. The aim of this study is to evaluate the effects obtained after applying active learning methodologies to the achievement of generic competences as well as to the academic performance. This study has been carried out at the Universidad Politécnica de Madrid, where these methodologies have been applied to the Operating Systems I subject of the degree in T...

  14. A Hierarchical Learning Control Framework for an Aerial Manipulation System

    Science.gov (United States)

    Ma, Le; Chi, yanxun; Li, Jiapeng; Li, Zhongsheng; Ding, Yalei; Liu, Lixing

    2017-07-01

    A hierarchical learning control framework for an aerial manipulation system is proposed. Firstly, the mechanical design of aerial manipulation system is introduced and analyzed, and the kinematics and the dynamics based on Newton-Euler equation are modeled. Secondly, the framework of hierarchical learning for this system is presented, in which flight platform and manipulator are controlled by different controller respectively. The RBF (Radial Basis Function) neural networks are employed to estimate parameters and control. The Simulation and experiment demonstrate that the methods proposed effective and advanced.

  15. A new 2-d approach to iterative , learning control system

    International Nuclear Information System (INIS)

    Ashraf, S.; Muhammad, E.; Tasleem, M.

    2004-01-01

    The well known two-dimensional system theory is used to analyze and develop a class of learning control system. In this paper we first explore and test a method given by ZHENG and JAMSHIDI. In that paper all the input samples are treated at once. In comparison our paper presents a scheme in which one sample at a time is treated. The 2- D state-space model of proposed learning control scheme is given. An important consequence of the proposed scheme is that given the right choice of gain matrix and sampling time the system's output can be made to converge to any degree of accuracy. (author)

  16. Learning about Ecological Systems by Constructing Qualitative Models with DynaLearn

    Science.gov (United States)

    Leiba, Moshe; Zuzovsky, Ruth; Mioduser, David; Benayahu, Yehuda; Nachmias, Rafi

    2012-01-01

    A qualitative model of a system is an abstraction that captures ordinal knowledge and predicts the set of qualitatively possible behaviours of the system, given a qualitative description of its structure and initial state. This paper examines an innovative approach to science education using an interactive learning environment that supports…

  17. An Expert System Helps Students Learn Database Design

    Science.gov (United States)

    Post, Gerald V.; Whisenand, Thomas G.

    2005-01-01

    Teaching and learning database design is difficult for both instructors and students. Students need to solve many problems with feedback and corrections. A Web-based specialized expert system was created to enable students to create designs online and receive immediate feedback. An experiment testing the system shows that it significantly enhances…

  18. Distributed Systems of Generalizing as the Basis of Workplace Learning

    Science.gov (United States)

    Virkkunen, Jaakko; Pihlaja, Juha

    2004-01-01

    This article proposes a new way of conceptualizing workplace learning as distributed systems of appropriation, development and the use of practice-relevant generalizations fixed within mediational artifacts. This article maintains that these systems change historically as technology and increasingly sophisticated forms of production develop.…

  19. Learning and Understanding System Stability Using Illustrative Dynamic Texture Examples

    Science.gov (United States)

    Liu, Huaping; Xiao, Wei; Zhao, Hongyan; Sun, Fuchun

    2014-01-01

    System stability is a basic concept in courses on dynamic system analysis and control for undergraduate students with computer science backgrounds. Typically, this was taught using a simple simulation example of an inverted pendulum. Unfortunately, many difficult issues arise in the learning and understanding of the concepts of stability,…

  20. The Role of Involvement in Learning Management System Success

    Science.gov (United States)

    Klobas, Jane E.; McGill, Tanya J.

    2010-01-01

    Learning management systems (LMS) have been adopted by the majority of higher education institutions and research that explores the factors that influence the success of LMS is needed. This paper investigates the roles of student and instructor involvement in LMS success, using the DeLone and McLean (2003) model of information systems success as a…

  1. Measuring Learner's Performance in E-Learning Recommender Systems

    Science.gov (United States)

    Ghauth, Khairil Imran; Abdullah, Nor Aniza

    2010-01-01

    A recommender system is a piece of software that helps users to identify the most interesting and relevant learning items from a large number of items. Recommender systems may be based on collaborative filtering (by user ratings), content-based filtering (by keywords), and hybrid filtering (by both collaborative and content-based filtering).…

  2. Personalized Recommender System for e-Learning Environment

    Science.gov (United States)

    Benhamdi, Soulef; Babouri, Abdesselam; Chiky, Raja

    2017-01-01

    Traditional e-Learning environments are based on static contents considering that all learners are similar, so they are not able to respond to each learner's needs. These systems are less adaptive and once a system that supports a particular strategy has been designed and implemented, it is less likely to change according to student's interactions…

  3. Integrated Learning Systems: What May We Expect in the Future?

    Science.gov (United States)

    Sherry, Mark

    1992-01-01

    Discusses possible future developments in integrated learning systems (ILSs). Highlights include greater integration with outside resources; incorporation of other technologies, including CD-ROM, multimedia, and hypermedia; links with databases; network possibilities; artificial intelligence tutoring systems; better courseware; decreasing prices;…

  4. An Online Interactive Competition Model for E-Learning System ...

    African Journals Online (AJOL)

    This paper presents an Online Interactive Competition Model for E-learning System. The system allows a student to connect and interact with other students on the courses they offer in a semester using both synchronous and asynchronous computer-mediated communication mechanisms. Each course lecturer e-supervises ...

  5. The Conduct System and Its Infuence on Student Learning

    Science.gov (United States)

    Stimpson, Matthew T.; Janosik, Steven M.

    2015-01-01

    In this study, 7 items were used to define a composite variable that measures the perceived effectiveness of student conduct systems. Multivariate Analysis of Variance (MANOVA) was used to test the relationship between perceived level of system effectiveness and self-reported student learning. In the analyses, 49% of the variance in reported…

  6. Adaptivity in Educational Systems for Language Learning: A Review

    Science.gov (United States)

    Slavuj, Vanja; Meštrovic, Ana; Kovacic, Božidar

    2017-01-01

    Adaptive and intelligent instructional systems are used to deal with the issue of learning personalisation in contexts where human instructors are not immediately available, so their role is transferred entirely or in part onto the computer. Even though such systems are mostly developed for well-defined domains that have a rather straightforward…

  7. Maze learning by a hybrid brain-computer system

    Science.gov (United States)

    Wu, Zhaohui; Zheng, Nenggan; Zhang, Shaowu; Zheng, Xiaoxiang; Gao, Liqiang; Su, Lijuan

    2016-09-01

    The combination of biological and artificial intelligence is particularly driven by two major strands of research: one involves the control of mechanical, usually prosthetic, devices by conscious biological subjects, whereas the other involves the control of animal behaviour by stimulating nervous systems electrically or optically. However, to our knowledge, no study has demonstrated that spatial learning in a computer-based system can affect the learning and decision making behaviour of the biological component, namely a rat, when these two types of intelligence are wired together to form a new intelligent entity. Here, we show how rule operations conducted by computing components contribute to a novel hybrid brain-computer system, i.e., ratbots, exhibit superior learning abilities in a maze learning task, even when their vision and whisker sensation were blocked. We anticipate that our study will encourage other researchers to investigate combinations of various rule operations and other artificial intelligence algorithms with the learning and memory processes of organic brains to develop more powerful cyborg intelligence systems. Our results potentially have profound implications for a variety of applications in intelligent systems and neural rehabilitation.

  8. Knowledge acquisition and interface design for learning on demand systems

    Science.gov (United States)

    Nelson, Wayne A.

    1993-01-01

    The rapid changes in our world precipitated by technology have created new problems and new challenges for education and training. A knowledge 'explosion' is occurring as our society moves toward a service oriented economy that relies on information as the major resource. Complex computer systems are beginning to dominate the workplace, causing alarming growth and change in many fields. The rapidly changing nature of the workplace, especially in fields related to information technology, requires that our knowledge be updated constantly. This characteristic of modern society poses seemingly unsolvable instructional problems involving coverage and obsolescence. The sheer amount of information to be learned is rapidly increasing, while at the same time some information becomes obsolete in light of new information. Education, therefore, must become a lifelong process that features learning of new material and skills as needed in relation to the job to be done. Because of the problems cited above, the current model of learning in advance may no longer be feasible in our high-technology world. In many cases, learning in advance is impossible because there are simply too many things to learn. In addition, learning in advance can be time consuming, and often results in decontextualized knowledge that does not readily transfer to the work environment. The large and growing discrepancy between the amount of potentially relevant knowledge available and the amount a person can know and remember makes learning on demand an important alternative to current instructional practices. Learning on demand takes place whenever an individual must learn something new in order to perform a task or make a decision. Learning on demand is a promising approach for addressing the problems of coverage and obsolescence because learning is contextualized and integrated into the task environment rather than being relegated to a separate phase that precedes work. Learning on demand allows learners

  9. Lessons learned from the Autonomous Power System

    Science.gov (United States)

    Ringer, Mark J.; Quinn, Todd M.; Merolla, Anthony

    1992-01-01

    The Autonomous Power System (APS) project at the NASA Lewis Research Center is designed to demonstrate the applications of integrated intelligent diagnosis, control and scheduling techniques to space power distribution systems. The project consists of three elements: the Autonomous Power Expert System (APEX) for Fault Diagnosis, Isolation, and Recovery (FDIR); the Autonomous Intelligent Power Scheduler (AIPS) to efficiently assign activities start times and resources; and power hardware (Brassboard) to emulate a space-based power system. The APS project had been through one design iteration. Each of the three elements of the APS project has been designed, tested, and integrated into a complete working system. After these three portions were completed, an evaluation period was initiated. Each piece of the system was critiqued based on individual performance as well as the ability to interact with the other portions of the APS project. These critiques were then used to determine guidelines for new and improved components of the APS system.

  10. Mobile Learning Environment System (MLES): The Case of Android-based Learning Application on Undergraduates’ Learning

    OpenAIRE

    Hafizul Fahri Hanafi; Khairulanuar Samsudin

    2012-01-01

    Of late, mobile technology has introduced new, novel environment that can be capitalized to further enrich the teaching and learning process in classrooms. Taking cognizance of this promising setting, a study was undertaken to investigate the impact of such an environment enabled by android platform on the learning process among undergraduates of Sultan Idris Education University, Malaysia; in particular, this paper discusses critical aspects of the design and implementation of the android le...

  11. The Use of a Mobile Learning Management System at an Online University and Its Effect on Learning Satisfaction and Achievement

    Science.gov (United States)

    Shin, Won Sug; Kang, Minseok

    2015-01-01

    This study investigates online students' acceptance of mobile learning and its influence on learning achievement using an information system success and extended technology acceptance model (TAM). Structural equation modeling was used to test the structure of individual, social, and systemic factors influencing mobile learning's acceptance, and…

  12. Development of an Adaptive Learning System with Multiple Perspectives based on Students' Learning Styles and Cognitive Styles

    Science.gov (United States)

    Yang, Tzu-Chi; Hwang, Gwo-Jen; Yang, Stephen Jen-Hwa

    2013-01-01

    In this study, an adaptive learning system is developed by taking multiple dimensions of personalized features into account. A personalized presentation module is proposed for developing adaptive learning systems based on the field dependent/independent cognitive style model and the eight dimensions of Felder-Silverman's learning style. An…

  13. The effects of sleep deprivation on dissociable prototype learning systems.

    Science.gov (United States)

    Maddox, W Todd; Glass, Brian D; Zeithamova, Dagmar; Savarie, Zachary R; Bowen, Christopher; Matthews, Michael D; Schnyer, David M

    2011-03-01

    The cognitive neural underpinnings of prototype learning are becoming clear. Evidence points to 2 different neural systems, depending on the learning parameters. A/not-A (AN) prototype learning is mediated by posterior brain regions that are involved in early perceptual learning, whereas A/B (AB) is mediated by frontal and medial temporal lobe regions. To investigate the effects of sleep deprivation on AN and AB prototype learning and to use established prototype models to provide insights into the cognitive-processing locus of sleep-deprivation deficits. Participants performed an AN and an AB prototype learning task twice, separated by a 24-hour period, with or without sleep between testing sessions. Eighteen West Point cadets participated in the sleep-deprivation group, and 17 West Point cadets participated in a control group. Sleep deprivation led to an AN, but not an AB, performance deficit. Prototype model analyses indicated that the AN deficit was due to changes in attentional focus and a decrease in confidence that is reflected in an increased bias to respond non-A. The findings suggest that AN, but not AB, prototype learning is affected by sleep deprivation. Prototype model analyses support the notion that the effect of sleep deprivation on AN is consistent with lapses in attentional focus that are more detrimental to AN than to AB. This finding adds to a growing body of work that suggests that different performance changes associated with sleep deprivation can be attributed to a common mechanism of changes in simple attention and vigilance.

  14. A New Profile Learning Model for Recommendation System based on Machine Learning Technique

    Directory of Open Access Journals (Sweden)

    Shereen H. Ali

    2016-03-01

    Full Text Available Recommender systems (RSs have been used to successfully address the information overload problem by providing personalized and targeted recommendations to the end users. RSs are software tools and techniques providing suggestions for items to be of use to a user, hence, they typically apply techniques and methodologies from Data Mining. The main contribution of this paper is to introduce a new user profile learning model to promote the recommendation accuracy of vertical recommendation systems. The proposed profile learning model employs the vertical classifier that has been used in multi classification module of the Intelligent Adaptive Vertical Recommendation (IAVR system to discover the user’s area of interest, and then build the user’s profile accordingly. Experimental results have proven the effectiveness of the proposed profile learning model, which accordingly will promote the recommendation accuracy.

  15. Are Accessible Distance Learning Systems Useful for All Students?: Our Experience with IMES, an Accessible Web-Based Learning System

    Science.gov (United States)

    Iglesias, Ana; Moreno, Lourdes; Castro, Elena; Cuadra, Dolores

    2014-01-01

    Nowadays the use of distance learning systems is widely extended in engineering education. Moreover, most of them use multimedia resources that sometimes are the only educational material available to provide certain educational knowledge to the students. Unfortunately, most of the current educational systems and their educational content present…

  16. Learning Management System Success: Increasing Learning Management System Usage in Higher Education in Sub-Saharan Africa

    Science.gov (United States)

    Mtebe, Joel S.

    2015-01-01

    Learning Management Systems (LMS) have been widely adopted by higher education institutions globally for over a decade. Institutions in sub-Saharan Africa now spend a significant proportion of their limited resources on installing and maintaining these systems. This expenditure continues to increase, raising questions as to whether LMS in these…

  17. Learning Visual Representations for Perception-Action Systems

    DEFF Research Database (Denmark)

    Piater, Justus; Jodogne, Sebastien; Detry, Renaud

    2011-01-01

    and RLJC, our second method learns structural object models for robust object detection and pose estimation by probabilistic inference. To these models, the method associates grasp experiences autonomously learned by trial and error. These experiences form a nonparametric representation of grasp success......We discuss vision as a sensory modality for systems that effect actions in response to perceptions. While the internal representations informed by vision may be arbitrarily complex, we argue that in many cases it is advantageous to link them rather directly to action via learned mappings....... These arguments are illustrated by two examples of our own work. First, our RLVC algorithm performs reinforcement learning directly on the visual input space. To make this very large space manageable, RLVC interleaves the reinforcement learner with a supervised classification algorithm that seeks to split...

  18. Threshold Concepts, Systems and Learning for Sustainability

    Science.gov (United States)

    Sandri, Orana Jade

    2013-01-01

    This paper presents a framework for understanding the role that systems theory might play in education for sustainability (EfS). It offers a sketch and critique of Land and Meyer's notion of a "threshold concept", to argue that seeing systems as a threshold concept for sustainability is useful for understanding the processes of…

  19. Innovations in Educational System: Mobile Learning Applications

    Science.gov (United States)

    Rokhvadze, Roza F.; Yelashkina, Natalya V.

    2013-01-01

    This article presents the analysis of the current changes in the higher educational system of the Russian Federation. The stated issues are accompanied with the advice and possible solutions. Authors offer their own approaches and techniques for the academic staff of higher educational institutions in order to adapt to the new system.

  20. THE SYSTEMIC APPROACH TO TEACHING AND LEARNING:

    African Journals Online (AJOL)

    Rita Wilkinson

    AJCE, 2017, 7(3), Special Issue. ISSN 2227-5835. 47 meaning was a “study of chemistry concepts through interacted systems in which all relationships between concepts are clear”. They sought “to change our educational systems from linearity to systemic”. Linearity is one of the features of normal science education as ...

  1. Knowledge Management System Model for Learning Organisations

    Science.gov (United States)

    Amin, Yousif; Monamad, Roshayu

    2017-01-01

    Based on the literature of knowledge management (KM), this paper reports on the progress of developing a new knowledge management system (KMS) model with components architecture that are distributed over the widely-recognised socio-technical system (STS) aspects to guide developers for selecting the most applicable components to support their KM…

  2. System learning approach to assess sustainability and ...

    Science.gov (United States)

    This paper presents a methodology that combines the power of an Artificial Neural Network and Information Theory to forecast variables describing the condition of a regional system. The novelty and strength of this approach is in the application of Fisher information, a key method in Information Theory, to preserve trends in the historical data and prevent over fitting projections. The methodology was applied to demographic, environmental, food and energy consumption, and agricultural production in the San Luis Basin regional system in Colorado, U.S.A. These variables are important for tracking conditions in human and natural systems. However, available data are often so far out of date that they limit the ability to manage these systems. Results indicate that the approaches developed provide viable tools for forecasting outcomes with the aim of assisting management toward sustainable trends. This methodology is also applicable for modeling different scenarios in other dynamic systems. Indicators are indispensable for tracking conditions in human and natural systems, however, available data is sometimes far out of date and limit the ability to gauge system status. Techniques like regression and simulation are not sufficient because system characteristics have to be modeled ensuring over simplification of complex dynamics. This work presents a methodology combining the power of an Artificial Neural Network and Information Theory to capture patterns in a real dyna

  3. Blending Online Asynchronous and Synchronous Learning

    Directory of Open Access Journals (Sweden)

    Lisa C. Yamagata-Lynch

    2014-04-01

    Full Text Available In this article I will share a qualitative self-study about a 15-week blended 100% online graduate level course facilitated through synchronous meetings on Blackboard Collaborate and asynchronous discussions on Blackboard. I taught the course at the University of Tennessee (UT during the spring 2012 semester and the course topic was online learning environments. The primary research question of this study was: How can the designer/instructor optimize learning experiences for students who are studying about online learning environments in a blended online course relying on both synchronous and asynchronous technologies? I relied on student reflections of course activities during the beginning, middle, and the end of the semester as the primary data source to obtain their insights regarding course experiences. Through the experiences involved in designing and teaching the course and engaging in this study I found that there is room in the instructional technology research community to address strategies for facilitating online synchronous learning that complement asynchronous learning. Synchronous online whole class meetings and well-structured small group meetings can help students feel a stronger sense of connection to their peers and instructor and stay engaged with course activities. In order to provide meaningful learning spaces in synchronous learning environments, the instructor/designer needs to balance the tension between embracing the flexibility that the online space affords to users and designing deliberate structures that will help them take advantage of the flexible space.

  4. DATA PROTECTION TECHNOLOGIES IN THE DISTANCE LEARNING SYSTEMS

    Directory of Open Access Journals (Sweden)

    Inna V. Herasymenko

    2015-06-01

    Full Text Available This article focuses on data protection in the support systems of distance learning. Different security tools such as hardware, software, transformation security and organizational protection are considered. There are analyzed key places that require protection and suggested possible options for their protection, such as the use of CAPTCHA for registration, protection for the IP-address and service of copy protection. Testing of the proposed security tools was piloted in terms of e-learning course "Information Technologies of Systems Analysis".

  5. Design Support System for Open Distance Learning Student Teamwork

    Science.gov (United States)

    Putranto, A.; Pradipto, Y. D.

    2017-01-01

    Open distance learning students in doing team assignment, they seldom face to some problems such as student fell unfair in numbers of workload contribution, instructors also do not know which students do more work than others. So there are some questions ie: how to connect between instructor, team members, and working documents. Methods will be used are first, analyzing current condition and last by designing systems to connect between instructor, team members, and document. The expected result is support systems for open distance learning student teamwork.

  6. Methodologies and Intelligent Systems for Technology Enhanced Learning

    CERN Document Server

    Gennari, Rosella; Vittorini, Pierpaolo; Prieta, Fernando

    2015-01-01

    This volume presents recent research on Methodologies and Intelligent Systems for Technology Enhanced Learning. It contains the contributions of MIS4TEL 2015, which took place in Salamanca, Spain,. On June 3rd to 5th 2015. Like the previous edition, this proceedings and the conference is an open forum for discussing intelligent systems for Technology Enhanced Learning and empirical methodologies for their design or evaluation MIS4TEL’15 conference has been organized by University of L’aquila, Free University of Bozen-Bolzano and the University of Salamanca.  .

  7. Asessing ethical severity of e-learning systems security attacks

    OpenAIRE

    Levy, Y; Ramim, MM; Hackney, RA

    2013-01-01

    Security and ethical issues with information systems (IS) are important concerns for most organizations. However, limited attention has been given to unethical behaviors and severity of cyber-security attacks, while these instances appear to be critically important. Although managers have been embracing e-learning systems for training and virtual-team collaborations, little is known about motivations for cyber-security attacks on such systems The JCIS editor-in-chief Dr. Alex Koohang and t...

  8. Evaluating a learning management system for blended learning in Greek higher education.

    Science.gov (United States)

    Kabassi, Katerina; Dragonas, Ioannis; Ntouzevits, Alexandra; Pomonis, Tzanetos; Papastathopoulos, Giorgos; Vozaitis, Yiannis

    2016-01-01

    This paper focuses on the usage of a learning management system in an educational institution for higher education in Greece. More specifically, the paper examines the literature on the use of different learning management systems for blended learning in higher education in Greek Universities and Technological Educational Institutions and reviews the advantages and disadvantages. Moreover, the paper describes the usage of the Open eClass platform in a Technological Educational Institution, TEI of Ionian Islands, and the effort to improve the educational material by organizing it and adding video-lectures. The platform has been evaluated by the students of the TEI of Ionian Islands based on six dimensions: namely student, teacher, course, technology, system design, and environmental dimension. The results of this evaluation revealed that Open eClass has been successfully used for blended learning in the TEI of Ionian Islands. Despite the instructors' initial worries about students' lack of participation in their courses if their educational material was made available online and especially in video lectures; blended learning did not reduce physical presence of the students in the classroom. Instead it was only used as a supplementary tool that helps students to study further, watch missed lectures, etc.

  9. An open learning system for special needs education

    Directory of Open Access Journals (Sweden)

    Dhiya Al-Jumeily

    2016-03-01

    Full Text Available The field of special needs education in case of speech and language deficiencies has seen great success, utilizing a number of paper-based systems, to help young children experiencing difficulty in language acquisition and the understanding of languages. These systems employ card and paper-based illustrations, which are combined to create scenarios for children in order to expose them to new vocabulary in context. While this success has encouraged the use of such systems for a long time, problems have been identified that need addressing. This paper presents research toward the application of an Open Learning system for special needs education that aims to provide an evolution in language learning in the context of understanding spoken instruction. Users of this Open Learning system benefit from open content with novel presentation of keywords and associated context. The learning algorithm is derived from the field of applied computing in human biology using the concept of spaced repetition and providing a novel augmentation of the memorization process for special needs education in a global Open Education setting.

  10. e-Learning system ERM for medical radiation physics education.

    Science.gov (United States)

    Stoeva, Magdalena; Cvetkov, Asen

    2005-09-01

    The objective of this paper is to present the Education for Radiation in Medicine (ERM) e-Learning System. The system was developed, tested and piloted in the Inter-University Medical Physics Centre, Plovdiv, Bulgaria. It was based on the results of EU Project TEMPUS S-JEP 09826. The ERM e-Learning System is an integrated on-line system for remote education covering aspects of Medical Radiation Physics education (M.Sc. level). It provides user-friendly interface and optimised functionality with three different access levels: trainee, professor and administrator. The minimum server requirements and the standard client side working environment turn the system into a good, cost effective and easy to support solution for remote education.

  11. Incremental and developmental perspectives for general-purpose learning systems

    Directory of Open Access Journals (Sweden)

    Fernando Martínez-Plumed

    2017-02-01

    Full Text Available The stupefying success of Articial Intelligence (AI for specic problems, from recommender systems to self-driving cars, has not yet been matched with a similar progress in general AI systems, coping with a variety of (dierent problems. This dissertation deals with the long-standing problem of creating more general AI systems, through the analysis of their development and the evaluation of their cognitive abilities. It presents a declarative general-purpose learning system and a developmental and lifelong approach for knowledge acquisition, consolidation and forgetting. It also analyses the use of the use of more ability-oriented evaluation techniques for AI evaluation and provides further insight for the understanding of the concepts of development and incremental learning in AI systems.

  12. Learning control system design based on 2-D theory - An application to parallel link manipulator

    Science.gov (United States)

    Geng, Z.; Carroll, R. L.; Lee, J. D.; Haynes, L. H.

    1990-01-01

    An approach to iterative learning control system design based on two-dimensional system theory is presented. A two-dimensional model for the iterative learning control system which reveals the connections between learning control systems and two-dimensional system theory is established. A learning control algorithm is proposed, and the convergence of learning using this algorithm is guaranteed by two-dimensional stability. The learning algorithm is applied successfully to the trajectory tracking control problem for a parallel link robot manipulator. The excellent performance of this learning algorithm is demonstrated by the computer simulation results.

  13. The endocannabinoid system: emotion, learning and addiction.

    Science.gov (United States)

    Moreira, Fabrício A; Lutz, Beat

    2008-06-01

    The identification of the cannabinoid receptor type 1 (CB1 receptor) was the milestone discovery in the elucidation of the behavioural and emotional responses induced by the Cannabis sativa constituent Delta(9)-tetrahydrocannabinol. The subsequent years have established the existence of the endocannabinoid system. The early view relating this system to emotional responses is reflected by the fact that N-arachidonoyl ethanolamine, the pioneer endocannabinoid, was named anandamide after the Sanskrit word 'ananda', meaning 'bliss'. However, the emotional responses to cannabinoids are not always pleasant and delightful. Rather, anxiety and panic may also occur after activation of CB1 receptors. The present review discusses three properties of the endocannabinoid system as an attempt to understand these diverse effects. First, this system typically functions 'on-demand', depending on environmental stimuli and on the emotional state of the organism. Second, it has a wide neuro-anatomical distribution, modulating brain regions with different functions in responses to aversive stimuli. Third, endocannabinoids regulate the release of other neurotransmitters that may have even opposing functions, such as GABA and glutamate. Further understanding of the temporal, spatial and functional characteristics of this system is necessary to clarify its role in emotional responses and will promote advances in its therapeutic exploitation.

  14. Scheduling lessons learned from the Autonomous Power System

    Science.gov (United States)

    Ringer, Mark J.

    1992-01-01

    The Autonomous Power System (APS) project at NASA LeRC is designed to demonstrate the applications of integrated intelligent diagnosis, control, and scheduling techniques to space power distribution systems. The project consists of three elements: the Autonomous Power Expert System (APEX) for Fault Diagnosis, Isolation, and Recovery (FDIR); the Autonomous Intelligent Power Scheduler (AIPS) to efficiently assign activities start times and resources; and power hardware (Brassboard) to emulate a space-based power system. The AIPS scheduler was tested within the APS system. This scheduler is able to efficiently assign available power to the requesting activities and share this information with other software agents within the APS system in order to implement the generated schedule. The AIPS scheduler is also able to cooperatively recover from fault situations by rescheduling the affected loads on the Brassboard in conjunction with the APEX FDIR system. AIPS served as a learning tool and an initial scheduling testbed for the integration of FDIR and automated scheduling systems. Many lessons were learned from the AIPS scheduler and are now being integrated into a new scheduler called SCRAP (Scheduler for Continuous Resource Allocation and Planning). This paper will service three purposes: an overview of the AIPS implementation, lessons learned from the AIPS scheduler, and a brief section on how these lessons are being applied to the new SCRAP scheduler.

  15. Development of a Multimedia Dysphagia Assessment Learning System Using Responsive Web Design: From e-Learning to m-Learning.

    Science.gov (United States)

    Huang, Hui-Chi; Guo, Sophie Huey-Ming

    2016-01-01

    Swallowing problems have significant affect the health outcome of some residents in long-term care facilities. Nursing staff who care these residents should have the ability of assessing dysphagia. However, nursing continued education to improve the performance of dysphagia assessment is still challenged. To enhance nurses' capability of dysphagia assessment, a Multimedia Dysphagia Assessment learning System was developed for nursing staff in long-term care institutions. This system was evaluated by performing a user usability test.

  16. Machine Learning-based Intelligent Formal Reasoning and Proving System

    Science.gov (United States)

    Chen, Shengqing; Huang, Xiaojian; Fang, Jiaze; Liang, Jia

    2018-03-01

    The reasoning system can be used in many fields. How to improve reasoning efficiency is the core of the design of system. Through the formal description of formal proof and the regular matching algorithm, after introducing the machine learning algorithm, the system of intelligent formal reasoning and verification has high efficiency. The experimental results show that the system can verify the correctness of propositional logic reasoning and reuse the propositional logical reasoning results, so as to obtain the implicit knowledge in the knowledge base and provide the basic reasoning model for the construction of intelligent system.

  17. The effects of information systems quality on nurses' acceptance of the electronic learning system.

    Science.gov (United States)

    Cheng, Yung-Ming

    2012-03-01

    To ensure the quality of healthcare provision, nurses must continuously enhance their professional knowledge and competencies via continuing education. As compared with traditional learning, electronic learning (e-learning) is a more flexible method for nurses' in-service learning. Hence, e-learning is expected to play a key role in providing continuing education for nurses. The main purpose of this study was to examine whether system quality, information quality, service quality, and user-interface design quality as the antecedents to nurse beliefs can affect nurses' intention to use the e-learning system. A cross-sectional design was used to investigate the effects of information systems quality on nurses' acceptance of the e-learning system. This study gathered sample data from nurses at 3 hospitals in Taiwan. A total of 450 questionnaires were distributed, and 320 effective questionnaires were analyzed in this study, indicating an effective response rate of 71.1%. Collected data were analyzed using structural equation modeling. System quality, information quality, and user-interface design quality had significant effects on perceived usefulness (PU), perceived ease of use (PEOU), and perceived enjoyment (PE), and service quality had significant effects on PU and PEOU. Moreover, PEOU had significant effects on PU and PE, and the effects of PU, PEOU, and PE on intention to use were significant. User-interface design quality is the most key antecedent that can make significant impacts on nurses' PU and PE, and more efforts should be made to develop a friendlier user interface via designing useful and enjoyable features to induce nurses to use the e-learning system. Moreover, system quality can make the greatest impact on nurses' PEOU; thus, medical institutions should effectively enhance system quality to deliver benefits and pleasure to boost nurses' usage intention of the e-learning system via reducing the complexity.

  18. Student perceptions and effectiveness of an innovative learning tool: Anatomy Glove Learning System.

    Science.gov (United States)

    Lisk, Kristina; McKee, Pat; Baskwill, Amanda; Agur, Anne M R

    2015-01-01

    A trend in anatomical education is the development of alternative pedagogical approaches to replace or complement experiences in a cadaver laboratory; however, empirical evidence on their effectiveness is often not reported. This study aimed to evaluate the effectiveness of Anatomy Glove Learning System (AGLS), which enables students to learn the relationship between hand structure and function by drawing the structures onto a worn glove with imprinted bones. Massage therapy students (n = 73) were allocated into two groups and drew muscles onto either: (1) the glove using AGLS instructional videos (3D group); or (2) paper with palmar/dorsal views of hand bones during an instructor-guided activity (2D group). A self-confidence measure and knowledge test were completed before, immediately after, and one-week following the learning conditions. Self-confidence of hand anatomy in the 3D group gradually increased (3.2/10, 4.7/10, and 4.8/10), whereas self-confidence in the 2D group began to decline one-week later (3.2/10, 4.4/10, and 3.9/10). Knowledge of hand anatomy improved in both groups immediately after learning, (P learning tool (mean = 8.6 ± 2.2). This study provides evidence demonstrating that AGLS and the traditional 2D learning approach are equally effective in promoting students' self-confidence and knowledge of hand anatomy. © 2014 American Association of Anatomists.

  19. An Adaptive Navigation Support System for Conducting Context-Aware Ubiquitous Learning in Museums

    Science.gov (United States)

    Chiou, Chuang-Kai; Tseng, Judy C. R.; Hwang, Gwo-Jen; Heller, Shelly

    2010-01-01

    In context-aware ubiquitous learning, students are guided to learn in the real world with personalized supports from the learning system. As the learning resources are realistic objects in the real world, certain physical constraints, such as the limitation of stream of people who visit the same learning object, the time for moving from one object…

  20. E-Learning, State and Educational System in Middle East Countries

    Science.gov (United States)

    Rashidi, Hamid; Arani, Abbas Madandar; Kakia, Lida

    2012-01-01

    E-learning has provided men with new opportunities in teaching-learning procedures. A historical review of educational systems literature reveals that e-learning has spread out among people much faster than any other learning methods. E-learning as a state-of-the-art technology, has caused great innovations in materials development in those…

  1. THE SYSTEMIC APPROACH TO TEACHING AND LEARNING:

    African Journals Online (AJOL)

    Rita Wilkinson

    three levels of science thought (macro, micro, symbolic), identified by Johnstone and represented by a triangle, may be viewed as a ...... Electrolysis. HNO3. Q3) Choose compounds from column (A) and reaction conditions from column (B) to build the systemic diagram in column (C):. (A). (C). (B). CH4. CH3COOH. CH3CHO.

  2. Discovering Architectures from Running Systems: Lessons Learned

    National Research Council Canada - National Science Library

    Yan, Hong; Aldrich, Jonathan; Garlan, David; Kazman, Rick; Schmerl, Bradley

    2004-01-01

    .... In addition, this report describes the current implementation of a tool, called DiscoTect, that uses these mappings, and it shows how DiscoTect can highlight inconsistencies between implementations and architectures. Furthermore, two case studies are provided that illustrate how DiscoTect works and how it can be applied to real-world systems.

  3. Visual Complexity in Orthographic Learning: Modeling Learning across Writing System Variations

    Science.gov (United States)

    Chang, Li-Yun; Plaut, David C.; Perfetti, Charles A.

    2016-01-01

    The visual complexity of orthographies varies across writing systems. Prior research has shown that complexity strongly influences the initial stage of reading development: the perceptual learning of grapheme forms. This study presents a computational simulation that examines the degree to which visual complexity leads to grapheme learning…

  4. Integrating Learning Services in the Cloud: An Approach That Benefits Both Systems and Learning

    Science.gov (United States)

    Gutiérrez-Carreón, Gustavo; Daradoumis, Thanasis; Jorba, Josep

    2015-01-01

    Currently there is an increasing trend to implement functionalities that allow for the development of applications based on Cloud computing. In education there are high expectations for Learning Management Systems since they can be powerful tools to foster more effective collaboration within a virtual classroom. Tools can also be integrated with…

  5. Identifying Students' Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning

    Science.gov (United States)

    Bouchet, Francois; Azevedo, Roger; Kinnebrew, John S.; Biswas, Gautam

    2012-01-01

    Identification of student learning behaviors, especially those that characterize or distinguish students, can yield important insights for the design of adaptation and feedback mechanisms in Intelligent Tutoring Systems (ITS). In this paper, we analyze trace data to identify distinguishing patterns of behavior in a study of 51 college students…

  6. A Multimedia English Learning System Using HMMs to Improve Phonemic Awareness for English Learning

    Science.gov (United States)

    Lai, Yen-Shou; Tsai, Hung-Hsu; Yu, Pao-Ta

    2009-01-01

    This paper proposes a multimedia English learning (MEL) system, based on Hidden Markov Models (HMMs) and mastery theory strategy, for teaching students with the aim of enhancing their English phonetic awareness and pronunciation. It can analyze phonetic structures, identify and capture pronunciation errors to provide students with targeted advice…

  7. Development and Evaluation of HawkLearn: A Next Generation Learning Management System

    Science.gov (United States)

    Round, Kimberlee L.

    2013-01-01

    Cloud-based computing in higher education has the potential to impact institutions on a myriad of fronts, including technology governance, flexibility, financial, and intellectual property. As the demand for blended and online education increases, institutions are considering expedient approaches to implementing learning management systems (LMSs).…

  8. Project-Based Learning to Enhance Teaching Embedded Systems

    Science.gov (United States)

    Sababha, Belal H.; Alqudah, Yazan A.; Abualbasal, Abdelraheem; AlQaralleh, Esam A.

    2016-01-01

    Exposing engineering students during their education to real-world problems and giving them the chance to apply what they learn in the classroom is a vital element of engineering education. The Embedded Systems course at Princess Sumaya University for Technology (PSUT) is one of the main courses that bridge the gap between theoretical electrical…

  9. Lifted system iterative learning control applied to an industrial robot

    NARCIS (Netherlands)

    Hakvoort, Wouter; Aarts, Ronald G.K.M.; van Dijk, Johannes; Jonker, Jan B.

    2008-01-01

    This paper proposes a model-based iterative learning control algorithm for time-varying systems with a high convergence speed. The convergence of components of the tracking error can be controlled individually with the algorithm. The convergence speed of each error component can be maximised unless

  10. Quality Assurance Systems in Open and Distance Learning: A ...

    African Journals Online (AJOL)

    This article seeks to explore the role and importance of quality assurance systems in open and distance learning mode. The article begins with the introduction of quality assurance and proceeds with the definition and meaning of quality which is very complex to define. The author further proceeds to trace the history and ...

  11. Intelligent Tutoring Systems for Collaborative Learning: Enhancements to Authoring Tools

    Science.gov (United States)

    Olsen, Jennifer K.; Belenky, Daniel M.; Aleven, Vincent; Rummel, Nikol

    2013-01-01

    Collaborative and individual instruction may support different types of knowledge. Optimal instruction for a subject domain may therefore need to combine these two modes of instruction. There has not been much research, however, on combining individual and collaborative learning with Intelligent Tutoring Systems (ITSs). A first step is to expand…

  12. Transfer effects in learning a second language grammatical gender system

    NARCIS (Netherlands)

    Sabourin, Laura; Stowe, Laurie A; de Haan, Ger J

    In this article second language (L2) knowledge of Dutch grammatical gender is investigated. Adult speakers of German, English and a Romance language (French, Italian or Spanish) were investigated to explore the role of transfer in learning the Dutch grammatical gender system. In the first language

  13. Developing Collective Learning Extension for Rapidly Evolving Information System Courses

    Science.gov (United States)

    Agarwal, Nitin; Ahmed, Faysal

    2017-01-01

    Due to rapidly evolving Information System (IS) technologies, instructors find themselves stuck in the constant game of catching up. On the same hand students find their skills obsolete almost as soon as they graduate. As part of IS curriculum and education, we need to emphasize more on teaching the students "how to learn" while keeping…

  14. Project ME: A Report on the Learning Wall System.

    Science.gov (United States)

    Heilig, Morton L.

    The learning wall system, which consists primarily of a special wall used instead of a screen for a variety of projection purposes, is described, shown diagrammatically, and pictured. Designed to provide visual perceptual motor training on a level that would fall between gross and fine motor performance for perceptually handicapped children, the…

  15. systemic approach to teaching and learning chemistry (satlc)

    African Journals Online (AJOL)

    Preferred Customer

    Faculty of Science, Department of Chemistry and Science Education Center,. Ain shams University ... designed, implemented, and evaluated the systemic approach to teaching and learning chemistry. Our aims have .... SATL-Aromatic. Chemistry, SATL-Heterocyclic Chemistry), and Green chemistry in lab experiments, for ...

  16. Faculty Usage of Library Tools in a Learning Management System

    Science.gov (United States)

    Leeder, Chris; Lonn, Steven

    2014-01-01

    To better understand faculty attitudes and practices regarding usage of library-specific tools and roles in a university learning management system, log data for a period of three semesters was analyzed. Academic departments with highest rates of usage were identified, and faculty users and nonusers within those departments were surveyed regarding…

  17. The Systemic Approach to Teaching and Learning: Water Chemistry ...

    African Journals Online (AJOL)

    The systemic approach to teaching and learning (SATL) has been developed during the last decade 1-7). SATL techniques have been implemented and evaluated in many different disciplines (chemistry, biology, physics, and math) in all educational levels, but the major SATL applications have been reported on chemistry ...

  18. Soft systems thinking and social learning for adaptive management.

    Science.gov (United States)

    Cundill, G; Cumming, G S; Biggs, D; Fabricius, C

    2012-02-01

    The success of adaptive management in conservation has been questioned and the objective-based management paradigm on which it is based has been heavily criticized. Soft systems thinking and social-learning theory expose errors in the assumption that complex systems can be dispassionately managed by objective observers and highlight the fact that conservation is a social process in which objectives are contested and learning is context dependent. We used these insights to rethink adaptive management in a way that focuses on the social processes involved in management and decision making. Our approach to adaptive management is based on the following assumptions: action toward a common goal is an emergent property of complex social relationships; the introduction of new knowledge, alternative values, and new ways of understanding the world can become a stimulating force for learning, creativity, and change; learning is contextual and is fundamentally about practice; and defining the goal to be addressed is continuous and in principle never ends. We believe five key activities are crucial to defining the goal that is to be addressed in an adaptive-management context and to determining the objectives that are desirable and feasible to the participants: situate the problem in its social and ecological context; raise awareness about alternative views of a problem and encourage enquiry and deconstruction of frames of reference; undertake collaborative actions; and reflect on learning. ©2011 Society for Conservation Biology.

  19. Reward-related learning via multiple memory systems.

    Science.gov (United States)

    Delgado, Mauricio R; Dickerson, Kathryn C

    2012-07-15

    The application of a neuroeconomic approach to the study of reward-related processes has provided significant insights in our understanding of human learning and decision making. Much of this research has focused primarily on the contributions of the corticostriatal circuitry, involved in trial-and-error reward learning. As a result, less consideration has been allotted to the potential influence of different neural mechanisms such as the hippocampus or to more common ways in human society in which information is acquired and utilized to reach a decision, such as through explicit instruction rather than trial-and-error learning. This review examines the individual contributions of multiple learning and memory neural systems and their interactions during human decision making in both normal and neuropsychiatric populations. Specifically, the anatomical and functional connectivity across multiple memory systems are highlighted to suggest that probing the role of the hippocampus and its interactions with the corticostriatal circuitry via the application of model-based neuroeconomic approaches may provide novel insights into neuropsychiatric populations that suffer from damage to one of these structures and as a consequence have deficits in learning, memory, or decision making. Copyright © 2012 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

  20. Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System.

    Science.gov (United States)

    Friedmann, Simon; Schemmel, Johannes; Grubl, Andreas; Hartel, Andreas; Hock, Matthias; Meier, Karlheinz

    2017-02-01

    We present results from a new approach to learning and plasticity in neuromorphic hardware systems: to enable flexibility in implementable learning mechanisms while keeping high efficiency associated with neuromorphic implementations, we combine a general-purpose processor with full-custom analog elements. This processor is operating in parallel with a fully parallel neuromorphic system consisting of an array of synapses connected to analog, continuous time neuron circuits. Novel analog correlation sensor circuits process spike events for each synapse in parallel and in real-time. The processor uses this pre-processing to compute new weights possibly using additional information following its program. Therefore, to a certain extent, learning rules can be defined in software giving a large degree of flexibility. Synapses realize correlation detection geared towards Spike-Timing Dependent Plasticity (STDP) as central computational primitive in the analog domain. Operating at a speed-up factor of 1000 compared to biological time-scale, we measure time-constants from tens to hundreds of micro-seconds. We analyze variability across multiple chips and demonstrate learning using a multiplicative STDP rule. We conclude that the presented approach will enable flexible and efficient learning as a platform for neuroscientific research and technological applications.

  1. Interactive Rhythm Learning System by Combining Tablet Computers and Robots

    Directory of Open Access Journals (Sweden)

    Chien-Hsing Chou

    2017-03-01

    Full Text Available This study proposes a percussion learning device that combines tablet computers and robots. This device comprises two systems: a rhythm teaching system, in which users can compose and practice rhythms by using a tablet computer, and a robot performance system. First, teachers compose the rhythm training contents on the tablet computer. Then, the learners practice these percussion exercises by using the tablet computer and a small drum set. The teaching system provides a new and user-friendly score editing interface for composing a rhythm exercise. It also provides a rhythm rating function to facilitate percussion training for children and improve the stability of rhythmic beating. To encourage children to practice percussion exercises, a robotic performance system is used to interact with the children; this system can perform percussion exercises for students to listen to and then help them practice the exercise. This interaction enhances children’s interest and motivation to learn and practice rhythm exercises. The results of experimental course and field trials reveal that the proposed system not only increases students’ interest and efficiency in learning but also helps them in understanding musical rhythms through interaction and composing simple rhythms.

  2. Towards Optimality in Online Learning – The OLeCenT Approach

    Directory of Open Access Journals (Sweden)

    Carl Beckford

    2017-06-01

    Full Text Available Higher Education Institutions (HEIs employ Learning Management Systems (LMSs primarily for greater efficiency, profitability, technological advancement or survival. The predominantly used LMSs, Moodle and Blackboard account for in excess of 60% usage by the top HEIs. However, the individual international regions do not necessarily bear the percentages of the overall total. Gaps are identified in optimality in course delivery within online learning when one studies LMSs and their functionalities. Advanced Distributed Learning (ADL Initiative which was established to standardize and modernize training and education management and delivery, developed and recommended usage of Sharable Content Object Reference Model (SCORM 2004 and later versions. SCORM 2004 which provides for flexibility in sequencing and navigation for learner-centric course delivery is not supported in any version of the more prevalently used LMSs. It is believed that most people have a preferred way in processing information. We propose codifying one or more Learning Style Instruments (LSIs, diagnosing the preferred teaching approach(es and dominant/existing learning styles within a batch of learners, then providing course delivery as a best-fit per learner. As a proof of concept, OLeCenT allows the input of one or more course learning paths with real-time learning and automatic reconfiguration of the course path where a new trend or pattern is identified. OLeCenT identified disparity in teaching-learning and provided a mechanism towards improving online learner-centric course delivery. OLeCenT also identified comparative levels of similarities among learners and instructors even where they are deemed to be of different teaching-learning styles/mechanisms.

  3. An Augmented Reality-Based Mobile Learning System to Improve Students' Learning Achievements and Motivations in Natural Science Inquiry Activities

    Science.gov (United States)

    Chiang, Tosti H. C.; Yang, Stephen J. H.; Hwang, Gwo-Jen

    2014-01-01

    In this study, an augmented reality-based mobile learning system is proposed for conducting inquiry-based learning activities. An experiment has been conducted to examine the effectiveness of the proposed approach in terms of learning achievements and motivations. The subjects were 57 fourth graders from two classes taught by the same teacher in…

  4. The Development of Online Tutorial Program Design Using Problem-Based Learning in Open Distance Learning System

    Science.gov (United States)

    Said, Asnah; Syarif, Edy

    2016-01-01

    This research aimed to evaluate of online tutorial program design by applying problem-based learning Research Methods currently implemented in the system of Open Distance Learning (ODL). The students must take a Research Methods course to prepare themselves for academic writing projects. Problem-based learning basically emphasizes the process of…

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

    Directory of Open Access Journals (Sweden)

    Andre Liem

    2012-08-01

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

  6. Organisational Learning and Systems of Labour Market Regulation in Europe

    DEFF Research Database (Denmark)

    Holm, Jacob Rubæk; Lorenz, Edward; Lundvall, Bengt-Åke

    This paper establishes a link between international differences in the organisation of work and modes of regulation of labour markets within Europe. The paper operates with four forms of work organisation (discretionary learning, lean production, Taylorism and simple or traditional). Through...... a factor analysis three dimensions of national labour market systems (flexible security, passive security and job support) are defined. Using a multilevel logistic regression model that takes into account both characteristics of individuals and of national labour market systems it is shown...

  7. A Federated Recommender System for Online Learning Environments

    OpenAIRE

    Zhou, Lei; El Helou, Sandy; Moccozet, Laurent; Opprecht, Laurent; Benkacem, Omar; Salzmann, Christophe; Gillet, Denis

    2012-01-01

    From e-commerce to social networking sites, recommender systems are gaining more and more interest. They provide connections, news, resources, or products of interest. This paper presents a federated recommender system, which exploits data from different online learning platforms and delivers personalized recommendation. The underlying educational objective is to enable academic institutions to provide a Web 2.0 dashboard bringing together open resources from the Cloud and proprietary content...

  8. Distributed Online Learning in Social Recommender Systems

    Science.gov (United States)

    Tekin, Cem; Zhang, Simpson; van der Schaar, Mihaela

    2014-08-01

    In this paper, we consider decentralized sequential decision making in distributed online recommender systems, where items are recommended to users based on their search query as well as their specific background including history of bought items, gender and age, all of which comprise the context information of the user. In contrast to centralized recommender systems, in which there is a single centralized seller who has access to the complete inventory of items as well as the complete record of sales and user information, in decentralized recommender systems each seller/learner only has access to the inventory of items and user information for its own products and not the products and user information of other sellers, but can get commission if it sells an item of another seller. Therefore the sellers must distributedly find out for an incoming user which items to recommend (from the set of own items or items of another seller), in order to maximize the revenue from own sales and commissions. We formulate this problem as a cooperative contextual bandit problem, analytically bound the performance of the sellers compared to the best recommendation strategy given the complete realization of user arrivals and the inventory of items, as well as the context-dependent purchase probabilities of each item, and verify our results via numerical examples on a distributed data set adapted based on Amazon data. We evaluate the dependence of the performance of a seller on the inventory of items the seller has, the number of connections it has with the other sellers, and the commissions which the seller gets by selling items of other sellers to its users.

  9. Security Issues in E-learning Systems

    Science.gov (United States)

    Tsiantis, L. E.; Stergiou, E.; Margariti, S. V.

    2007-12-01

    With increasing threats to e-software, security will become a high priority in the systems of the future. What is debatable, however, is how that security will be approached. Current security methods manage potential risks with restrictive, autocratic mechanisms that ignore users, their tasks and the organisational setting. The result is a dramatic decrease in the usability of online programs. Another approach, proposed by this paper, is to develop security and its mechanisms for and with its users. Whichever approach is taken, security is set to be the burning issue of the future as users trust the global online world less and the threats from unauthorised access increase.

  10. Role of e-learning information systems in regional development

    Directory of Open Access Journals (Sweden)

    Maria ANDRONIE

    2010-09-01

    The Information Communication Technology – ICT, an useful strategy for the education system improvement, is a means enabling the students develop their fundamental knowledge and the necessary competences in various fields in a knowledge-based economy. Computer skills become a “must”. We need to understand the way to improve the education system of an institution by implementing these technologies, in general, and the e-Learning systems, in particular. In this context, the information systems are the driver of a global education.

  11. The Effectiveness of E-Learning Systems: A Review of the Empirical Literature on Learner Control

    Science.gov (United States)

    Sorgenfrei, Christian; Smolnik, Stefan

    2016-01-01

    E-learning systems are considerably changing education and organizational training. With the advancement of online-based learning systems, learner control over the instructional process has emerged as a decisive factor in technology-based forms of learning. However, conceptual work on the role of learner control in e-learning has not advanced…

  12. The Effect of Incorporating Good Learners' Ratings in e-Learning Content-Based Recommender System

    Science.gov (United States)

    Ghauth, Khairil Imran; Abdullah, Nor Aniza

    2011-01-01

    One of the anticipated challenges of today's e-learning is to solve the problem of recommending from a large number of learning materials. In this study, we introduce a novel architecture for an e-learning recommender system. More specifically, this paper comprises the following phases i) to propose an e-learning recommender system based on…

  13. Revisiting the Didactic Triangle in the Case of an Adaptive Learning System

    Directory of Open Access Journals (Sweden)

    Yassine Zaoui Seghroucheni

    2014-10-01

    Full Text Available In this paper we revisit the classical approach of the didactic triangle designed for the classical learning situation (face to face and adapt it to the situation of an adaptive learning system, we discuss also the different components involved in this didactic triangle and how they interact and influence the learning process in an adaptive learning system.

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

    Science.gov (United States)

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

    2018-01-01

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

  15. Design Flaws and Service System Breakdowns: Learning from Systems Thinking

    Directory of Open Access Journals (Sweden)

    David Ing

    2014-12-01

    Full Text Available In what ways might systems thinking be helpful to designers?  In the 21st century, the types of project with which designers have become engaged has expanded to include service systems.  Service systems are typically composites of mechanisms, organisms, human beings and ecologies.  Systems thinking is a perspective with theories, methods and practices that enables transcending disciplinary boundaries.  Application of systems thinking in designing a service system can aid in surfacing potential flaws and/or anticipating future breakdowns in functions, structures and/or processes. Designers and systems thinkers should work together to improve the nature of service systems.  As a starter set into these conversations, seven conditions are proposed as a starting context.  These conditions are presented neither as rigourously defined nor as exhaustive, but as an entry point into future joint engagement.

  16. Student’s Comparative Analysis Towards the Teaching-Learning System through E-Learning

    Directory of Open Access Journals (Sweden)

    Ersan Suria Pranoto

    2011-11-01

    Full Text Available The purpose of this study was to measure the student response in comparison between Management Department and Accounting Department at the Faculty of Economics, University of Bunda Mulia, against a system of learning in the e-learning system based. The samples are taken by using non-probability sampling method that is very much purposive. The amount of data to be collected as many as 300 students (respondents conducted in a proportion as of for the Accounting Department samples of 150 respondents were taken and from the Department of Management also 150 respondents were taken, with a standard error in around 1%. The amount of data is adjusted to the time of data collection conducted during the months of March to May 2008, this was also during the lectures take place in the second semester of 2007/2008. For the idea of applying the e-learning system based, the result in the major of accounting, which are 76%, said that the idea seems to be right if e-Learning is applied but for the Department of Management students, only 32% of students who was responded quite well.

  17. Casual Games and Casual Learning About Human Biological Systems

    Science.gov (United States)

    Price, C. Aaron; Gean, Katherine; Christensen, Claire G.; Beheshti, Elham; Pernot, Bryn; Segovia, Gloria; Person, Halcyon; Beasley, Steven; Ward, Patricia

    2016-02-01

    Casual games are everywhere. People play them throughout life to pass the time, to engage in social interactions, and to learn. However, their simplicity and use in distraction-heavy environments can attenuate their potential for learning. This experimental study explored the effects playing an online, casual game has on awareness of human biological systems. Two hundred and forty-two children were given pretests at a Museum and posttests at home after playing either a treatment or control game. Also, 41 children were interviewed to explore deeper meanings behind the test results. Results show modest improvement in scientific attitudes, ability to identify human biological systems and in the children's ability to describe how those systems work together in real-world scenarios. Interviews reveal that children drew upon their prior school learning as they played the game. Also, on the surface they perceived the game as mainly entertainment but were easily able to discern learning outcomes when prompted. Implications for the design of casual games and how they can be used to enhance transfer of knowledge from the classroom to everyday life are discussed.

  18. Educator Perceptions of Virtual Learning System Quality Characteristics

    Directory of Open Access Journals (Sweden)

    Indira Padayachee

    2017-12-01

    Full Text Available In higher education institutions, digital learning environments, referred to as virtual learning systems in this article, have been adopted and are becoming increasingly popular among academics. A virtual learning system (VLS has a suite of tools with associated functions and non-functional system characteristics. Higher education institutions (HEIs implement a VLS with the intent to assimilate e-Learning with face-to-face instruction and thereby derive associated benefits from its usage. Currently there is limited information on educators’ perceptions on the usefulness of VLS tool functionality, and the importance assigned to non-functional characteristics. This article adapted the generic framework of the ISO 9126 external software quality model to ascertain the perceptions of educators with regards to VLS functionality and non-functional quality characteristics. A case study research strategy was adopted, using two South African higher education institutions. The main contribution of this article is a proposed model representing VLS quality in use characteristics, measured by the constructs of perceived usefulness and perceived importance. In addition to the theoretical contribution, this article makes a practical contribution by providing educators’ recommendations on the improvement of VLS quality characteristics. This article has potentially useful implications for the use of a VLS by educators and future VLS design iterations.

  19. E-Learning versus Face-to-Face Learning: An Economic Analysis of Higher Educational Systems in Iran

    Directory of Open Access Journals (Sweden)

    Hamed Fazlollahtabar

    2008-06-01

    Full Text Available Traditional engineering educational system was compared with the e-learning engineering educational system on the economic dimension using hypothesis testing approach. The comparison involved trend analysis and prediction based on costs and benefits of the two systems. Interestingly, the analysis revealed that the traditional system had greater advantage on the economic dimension. Several factors support the e-learning system despite the associated economic disadvantage. The final analysis provided results in favor of a blended system which takes advantage of the traditional and e-learning systems.

  20. ETHICAL CHALLENGES OF THE E-LEARNING SYSTEM

    Directory of Open Access Journals (Sweden)

    MARIA CERNAT

    2013-05-01

    Full Text Available This article is the result of a four years teaching experience in one of the largest and controversial Romanian Universities using the E-learning system: Spiru Haret. It is a well-known fact that this was the first Romanian academic institution that used the E-learning techniques in wide and systematic way. Numerous articles appeared in the press in 2009 when the scandal of fake diplomas first started. This article is the perspective of an insider, that is, of someone who taught information and communication techniques in this institution for several years. I consider my experience and my findings to be balanced and objective and I also believe that we have to analyze things in a more profound and rational manner after the 2009 media storm ended. My article provides very useful information in this area since there are no academic articles on the way this Romanian academic institution (misunderstands the power of E-learning tools.

  1. Fuzzy Lyapunov Reinforcement Learning for Non Linear Systems.

    Science.gov (United States)

    Kumar, Abhishek; Sharma, Rajneesh

    2017-03-01

    We propose a fuzzy reinforcement learning (RL) based controller that generates a stable control action by lyapunov constraining fuzzy linguistic rules. In particular, we attempt at lyapunov constraining the consequent part of fuzzy rules in a fuzzy RL setup. Ours is a first attempt at designing a linguistic RL controller with lyapunov constrained fuzzy consequents to progressively learn a stable optimal policy. The proposed controller does not need system model or desired response and can effectively handle disturbances in continuous state-action space problems. Proposed controller has been employed on the benchmark Inverted Pendulum (IP) and Rotational/Translational Proof-Mass Actuator (RTAC) control problems (with and without disturbances). Simulation results and comparison against a) baseline fuzzy Q learning, b) Lyapunov theory based Actor-Critic, and c) Lyapunov theory based Markov game controller, elucidate stability and viability of the proposed control scheme. Copyright © 2017 ISA. Published by Elsevier Ltd. All rights reserved.

  2. From Neophyte to Experienced Facilitator: an Interactive Blended-Learning Course for Graduate Teaching Assistants in Hong Kong

    Directory of Open Access Journals (Sweden)

    Cecilia F.K. Pun

    2011-06-01

    Full Text Available Faculty training in tertiary institutions around the world is receiving increasing attention as it plays a significant role to ensure high quality learning and teaching practices in constantly changing multi-cultural education backgrounds. In the case of Graduate Teaching Assistants (GTAs, designing an effective training course to help them deliver content interactively, using student-centered strategies and approaches in a second language (in this case English, becomes critical. Rather than training GTAs in procedural and declarative knowledge (knowledge of facts and processes, a shift in emphasis to functioning knowledge, e.g., classroom management techniques, course design, formative and summative peer review, presentation skills, is the focus of this intensive course, which is heavily supported by two educational e-technologies, Echo360 Lecture Capturing System and an asynchronous Discussion Board, hosted under the Blackboard (Bb Course Management System. Adopting an ethnographic approach in which all the researchers have co-taught this course for at least two years, this paper chronicles the effort of using Echo360 and Bb Discussion Board to support the delivery of course content and assessment tasks that yields reflective practices. Achievement of learning outcomes is evaluated through the use of multiple measures: reflections of course attendees, researchers’ direct observation, and statistics provided by the Learning Management System. Results are very encouraging in terms of significant improvement of graduate students’ presentation skills and self-reflective practices facilitated by Echo360 and Discussion Board.

  3. Designing learning management system interoperability in semantic web

    Science.gov (United States)

    Anistyasari, Y.; Sarno, R.; Rochmawati, N.

    2018-01-01

    The extensive adoption of learning management system (LMS) has set the focus on the interoperability requirement. Interoperability is the ability of different computer systems, applications or services to communicate, share and exchange data, information, and knowledge in a precise, effective and consistent way. Semantic web technology and the use of ontologies are able to provide the required computational semantics and interoperability for the automation of tasks in LMS. The purpose of this study is to design learning management system interoperability in the semantic web which currently has not been investigated deeply. Moodle is utilized to design the interoperability. Several database tables of Moodle are enhanced and some features are added. The semantic web interoperability is provided by exploited ontology in content materials. The ontology is further utilized as a searching tool to match user’s queries and available courses. It is concluded that LMS interoperability in Semantic Web is possible to be performed.

  4. Neuromorphic cognitive systems a learning and memory centered approach

    CERN Document Server

    Yu, Qiang; Hu, Jun; Tan Chen, Kay

    2017-01-01

    This book presents neuromorphic cognitive systems from a learning and memory-centered perspective. It illustrates how to build a system network of neurons to perform spike-based information processing, computing, and high-level cognitive tasks. It is beneficial to a wide spectrum of readers, including undergraduate and postgraduate students and researchers who are interested in neuromorphic computing and neuromorphic engineering, as well as engineers and professionals in industry who are involved in the design and applications of neuromorphic cognitive systems, neuromorphic sensors and processors, and cognitive robotics. The book formulates a systematic framework, from the basic mathematical and computational methods in spike-based neural encoding, learning in both single and multi-layered networks, to a near cognitive level composed of memory and cognition. Since the mechanisms for integrating spiking neurons integrate to formulate cognitive functions as in the brain are little understood, studies of neuromo...

  5. Interoperability Guidelines for Lithuanian E-Learning Management Systems

    Directory of Open Access Journals (Sweden)

    Eugenijus Kurilovas

    2011-08-01

    Full Text Available Purpose – the paper aims to analyse e-learning content and repositories along with the problems of learning organisation interoperability. The main objective of the paper is to analyse scientific research results and the newest international experience in the area and to provide interoperability guidelines and recommendations for the implementation of appropriate Lithuanian state programmes. The learning content and repositories recommendations are designed for the implementation of the Lithuanian education portal project as well as Lithuanian Virtual University (LVU programme’s information services’ (LABT / eLABa and e-learning services’ (LieDM sub-programmes. The whole education institution recommendations are designed for the maintenance and development of LVU programme’s management services’ (LieMSIS system.Design/methodology/approach – methods used for the general analysis of proposed interoperability guidelines (reccomendations were bibliographic research and comparative analysis of Lithuanian and foreign scientific works published in periodicals and large-scale EU-funded interoperability projects deliverables. System analysis and comparative analysis methods were used in order to formulate and analyse systems’ interoperability guidelines and recommendations. The author employed the experimental research method while working in the appropriate EU-funded interoperability projects to form the guidelines (recommendations. In order to summarize the results, the evaluative research method was used..Findings – the international guidelines and recommendations presented in the paper could be suitable for implementation while developing Lithuanian state education information systems such as the Lithuanian education portal, the Lithuanian academic libraries’ (eLABa system, the Lithuanian distance learning system (LieDM, and the Lithuanian universities’ management system (LieMSIS.Research limitations/implications – the paper

  6. Interoperability Guidelines for Lithuanian E-Learning Management Systems

    Directory of Open Access Journals (Sweden)

    Eugenijus Kurilovas

    2013-08-01

    Full Text Available Purpose – the paper aims to analyse e-learning content and repositories along with the problems of learning organisation interoperability. The main objective of the paper is to analyse scientific research results and the newest international experience in the area and to provide interoperability guidelines and recommendations for the implementation of appropriate Lithuanian state programmes. The learning content and repositories recommendations are designed for the implementation of the Lithuanian education portal project as well as Lithuanian Virtual University (LVU programme’s information services’ (LABT / eLABa and e-learning services’ (LieDM sub-programmes. The whole education institution recommendations are designed for the maintenance and development of LVU programme’s management services’ (LieMSIS system.Design/methodology/approach – methods used for the general analysis of proposed interoperability guidelines (reccomendations were bibliographic research and comparative analysis of Lithuanian and foreign scientific works published in periodicals and large-scale EU-funded interoperability projects deliverables. System analysis and comparative analysis methods were used in order to formulate and analyse systems’ interoperability guidelines and recommendations. The author employed the experimental research method while working in the appropriate EU-funded interoperability projects to form the guidelines (recommendations. In order to summarize the results, the evaluative research method was used.Findings – the international guidelines and recommendations presented in the paper could be suitable for implementation while developing Lithuanian state education information systems such as the Lithuanian education portal, the Lithuanian academic libraries’ (eLABa system, the Lithuanian distance learning system (LieDM, and the Lithuanian universities’ management system (LieMSIS.Research limitations/implications – the paper

  7. Information systems supported organizational learning as a competitive advantage

    Directory of Open Access Journals (Sweden)

    Jose Manuel Arias

    2013-07-01

    Full Text Available Purpose: The purpose of this paper is to analyze the characteristics that make information systems useful in gathering and processing information with the aim of organizational learning and subsequent structural adaptation for better fitting to market requirements. Design/methodology/approach: Adaptation is a must when turning to foster the competitiveness and sustainability of the organization. Findings and Originality/value: It is clear that information systems can really create a difference in the way an organization acquires information from its environment and from itself in order to achieve a high-quality decision taking process. Research limitations/implications: Organizations have to look inside themselves in order to ensure the comprehension of their core competencies and the way they carry them out. Practical implications: Organizational learning is one of the means employed by organizations to get adapted to their surrounding environment. Social implications: Systems engineering techniques can be applied in order to leverage these core competencies and make organizations adaptable to the organizational environment requirements through the use of information systems. Originality/value: To obtain competitive advantages in the market. Keywords: competitive advantage, information systems, knowledge management, & the learning organization.

  8. Virtual respiratory system for interactive e-learning of spirometry

    Directory of Open Access Journals (Sweden)

    W. Tomalak

    2008-04-01

    Full Text Available Progress in computer simulation technology offers new possibilities for modern medicine. On one hand – virtual organs can help to create animal or human models for research, on the other hand – e-learning or distant learning through Internet is now possible. The aim of our work was to create a system for interactive learning of spirometry (SILS, enabling students or physicians to observe spirometric measurements (flow-volume modified by setting level and kind of abnormalities within the respiratory system. SILS is based on a virtual respiratory system presented previously in several papers. Its main features are: separation of the lungs and chest; anatomical division of the lungs; division of airway resistance into transmural pressure dependent (Rp and lung volume dependent (Rv parts. The one mathematical formula that represents Rp describes both flow limitation (forced expiration and dependence of Raw on lungs volume (small airflows. The output of system are spirometric parameters (as FEV1, FVC, FEV1%FVC and a flow–volume loop constructed according to results of simulation of forced expiration for the chosen abnormality kind and level. As a result – this system may be used in teaching process in medical schools and postgraduate education. We offer access to a basic version of SILS for students and physicians at: www.spirometry.ibib.waw.pl and www.zpigichp.edu.pl. As we expect feedback from users, it is possible to modify user interface or model features to comply with users' requests.

  9. Intelligent and Adaptive Educational-Learning Systems Achievements and Trends

    CERN Document Server

    2013-01-01

    The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form.  This book is devoted to the “Intelligent and Adaptive Educational-Learning Systems”. It privileges works that highlight key achievements and outline trends to inspire future research.  After a rigorous revision process twenty manuscripts were accepted and organized into four parts as follows: ·     Modeling: The first part embraces five chapters oriented to: 1) shape the affective behavior; 2) depict the adaptive learning curriculum; 3) predict learning achievements; 4) mine learner models to outcome optimized and adaptive e-learning objects; 5) classify learning preferences of learners. ·     Content: The second part encompas...

  10. Using A Learning Content Management System in Computer Literacy Course

    Directory of Open Access Journals (Sweden)

    Volkan Gökova

    2011-12-01

    Full Text Available Aim of this research was to examine effects of Learning Content Management System which has many advantages, over Air Force NCO College student’s success in Computer Literacy Course. In this study, offline portal, JTÖİYS developed with Joomla, was used in an intranet laboratory. Furthermore, JTÖİYS’s purpose was guiding students and publishing different kinds of learning materials such as practices, surveys and exams. Before preparing the learning materials, students’ learning styles were identified by Felder-Solomon learning index. Pre-test – post-test quantitative research design with control group was chosen. Research group(167 and control group(165 consisted of 332 students. The control group took lessons in classic way and the research group took lessons with JTÖİYS for 15 weeks. In the pre-test and post-test results attained by repeated measure 2x2 ANOVA, the research group’s success was found meaningfully greater than the control group

  11. DESIGN AND DEVELOPMENT OF MOBILE LEARNING APPLICATIONS USING DRUPAL

    Directory of Open Access Journals (Sweden)

    N.M.A.E.D Wirastuti

    2010-07-01

    Full Text Available The growth of the mobile industry is an important aspect in the link of the global village. Another aspect is theInternet. The introduction of VoIP, video conferencing, emailing and TV reviewing also support the communicationbecoming much easier. The Internet becomes a reliable source of information; Users learn more from the Internetthan anywhere else. Therefore, there are many educational institutions publishing their learning material on theInternet. So that e-learning becomes an essential learning method now days. Student can access the learning materialeverywhere, every time. While the mobile industry offers many 3G services, mobile operators still lack of theapplication that allowing users to access learning material while on the move. Mobile learning is an excellentsolution to solve this problem. This will be supported by mobile features improvement, cheaper and faster data rates.This paper gives a simple idea of developing mobile learning where users can access learning material in similarway to blackboard via mobile devices, called blackboard mobile.

  12. The Use of a Mobile Learning Management System at an Online University and Its Effect on Learning Satisfaction and Achievement

    Directory of Open Access Journals (Sweden)

    Won Sug Shin

    2015-06-01

    Full Text Available This study investigates online students’ acceptance of mobile learning and its influence on learning achievement using an information system success and extended technology acceptance model (TAM. Structural equation modeling was used to test the structure of individual, social, and systemic factors influencing mobile learning’s acceptance, and how said acceptance influences learning satisfaction and achievement. Unlike earlier TAM-related research that did not provide a broad view of technological acceptance and its impact on learning activities, the present study’s results highlight the relationship between behavioral intention/learning satisfaction and learning achievement. Additionally, this study tests the theoretical model of successful mobile learning by empirically accepting mobile learning management systems. The findings further imply that students at online universities have started to accept mobile technology as a new learning tool; consequently, its acceptance has influenced their learning achievement both directly and indirectly. These discoveries should facilitate a better understanding of students’ usage of mobile learning systems in higher education, and provide timely guidance for its development and implementation.

  13. EFFECTIVENESS OF LEARNING PROCESS USING “WEB TECHNOLOGY” IN THE DISTANCE LEARNING SYSTEM

    Directory of Open Access Journals (Sweden)

    Manoj KILLEDAR

    2008-10-01

    Full Text Available Web is a globally distributed, still highly personalized media for cost-effective delivery of multimedia information and services. Web is expected to have a strong impact on almost every aspect of how we learn. ‘Total Quality’ is the totality of features, as perceived by the customers of the product or service. Totality of features includes stated as well as implied needs and expectations of all types of customers. No quality improvement is possible without its unambiguous measurement. But, ‘Total Quality’ of the learning experience in ‘Open and Distance Education System’ cannot be measured unless it is expressed in measurable clear terms which include complete spectrum of student support and educational services. A model for ‘Total Quality’ of an open and distance education system was used to measure impact of the “Web Technology” on the ‘Total Quality’ of the learning experience in ‘Open and Distance Education System’. Evidence indicates that application of the proposed model for ‘Total Quality’ and ‘Web Technology’ can simultaneously optimize quality, access and cost. Thus, a better learning experience can be provided even in open and distance education system, which can be comparable with the best. This study found that it was difficult for the subjects to decide the clear cut superiority regarding the effectiveness of ‘Traditional Classroom’ or ‘Virtual Classroom’.

  14. Incorporating rapid neocortical learning of new schema-consistent information into complementary learning systems theory.

    Science.gov (United States)

    McClelland, James L

    2013-11-01

    The complementary learning systems theory of the roles of hippocampus and neocortex (McClelland, McNaughton, & O'Reilly, 1995) holds that the rapid integration of arbitrary new information into neocortical structures is avoided to prevent catastrophic interference with structured knowledge representations stored in synaptic connections among neocortical neurons. Recent studies (Tse et al., 2007, 2011) showed that neocortical circuits can rapidly acquire new associations that are consistent with prior knowledge. The findings challenge the complementary learning systems theory as previously presented. However, new simulations extending those reported in McClelland et al. (1995) show that new information that is consistent with knowledge previously acquired by a putatively cortexlike artificial neural network can be learned rapidly and without interfering with existing knowledge; it is when inconsistent new knowledge is acquired quickly that catastrophic interference ensues. Several important features of the findings of Tse et al. (2007, 2011) are captured in these simulations, indicating that the neural network model used in McClelland et al. has characteristics in common with neocortical learning mechanisms. An additional simulation generalizes beyond the network model previously used, showing how the rate of change of cortical connections can depend on prior knowledge in an arguably more biologically plausible network architecture. In sum, the findings of Tse et al. are fully consistent with the idea that hippocampus and neocortex are complementary learning systems. Taken together, these findings and the simulations reported here advance our knowledge by bringing out the role of consistency of new experience with existing knowledge and demonstrating that the rate of change of connections in real and artificial neural networks can be strongly prior-knowledge dependent. PsycINFO Database Record (c) 2013 APA, all rights reserved.

  15. Motion lecture annotation system to learn Naginata performances

    Science.gov (United States)

    Kobayashi, Daisuke; Sakamoto, Ryota; Nomura, Yoshihiko

    2013-12-01

    This paper describes a learning assistant system using motion capture data and annotation to teach "Naginata-jutsu" (a skill to practice Japanese halberd) performance. There are some video annotation tools such as YouTube. However these video based tools have only single angle of view. Our approach that uses motion-captured data allows us to view any angle. A lecturer can write annotations related to parts of body. We have made a comparison of effectiveness between the annotation tool of YouTube and the proposed system. The experimental result showed that our system triggered more annotations than the annotation tool of YouTube.

  16. Self-Evolvable Systems Machine Learning in Social Media

    CERN Document Server

    Iordache, Octavian

    2012-01-01

    This monograph presents key method to successfully manage the growing  complexity of systems  where conventional engineering and scientific methodologies and technologies based on learning and adaptability come to their limits and new ways are nowadays required. The transition from adaptable to evolvable and finally to self-evolvable systems is highlighted, self-properties such as self-organization, self-configuration, and self-repairing are introduced and challenges and limitations of the self-evolvable engineering systems are evaluated.

  17. Combining different Technologies in a Funerary Archaeology content and language integrated Learning (CLIL) Course

    OpenAIRE

    Cignoni, Laura; Fornaciari, Gino

    2009-01-01

    The aim of this paper is to describe a project in which Italian undergraduate students at the Palaeopathology Division of Pisa University will attend a two-year Content and Language Integrated Learning (CLIL) course combining the study of funerary archaeology with English as vehicular language. At the presence of a subject and language teacher working together, the trainees will use different types of technology including devices such as electronic blackboards and Word applications with user-...

  18. Research on cultivating medical students' self-learning ability using teaching system integrated with learning analysis technology.

    Science.gov (United States)

    Luo, Hong; Wu, Cheng; He, Qian; Wang, Shi-Yong; Ma, Xiu-Qiang; Wang, Ri; Li, Bing; He, Jia

    2015-01-01

    Along with the advancement of information technology and the era of big data education, using learning process data to provide strategic decision-making in cultivating and improving medical students' self-learning ability has become a trend in educational research. Educator Abuwen Toffler said once, the illiterates in the future may not be the people not able to read and write, but not capable to know how to learn. Serving as educational institutions cultivating medical students' learning ability, colleges and universities should not only instruct specific professional knowledge and skills, but also develop medical students' self-learning ability. In this research, we built a teaching system which can help to restore medical students' self-learning processes and analyze their learning outcomes and behaviors. To evaluate the effectiveness of the system in supporting medical students' self-learning, an experiment was conducted in 116 medical students from two grades. The results indicated that problems in self-learning process through this system was consistent with problems raised from traditional classroom teaching. Moreover, the experimental group (using this system) acted better than control group (using traditional classroom teaching) to some extent. Thus, this system can not only help medical students to develop their self-learning ability, but also enhances the ability of teachers to target medical students' questions quickly, improving the efficiency of answering questions in class.

  19. E-Learning versus Face-to-Face Learning: An Economic Analysis of Higher Educational Systems in Iran

    OpenAIRE

    Hamed Fazlollahtabar

    2008-01-01

    Traditional engineering educational system was compared with the e-learning engineering educational system on the economic dimension using hypothesis testing approach. The comparison involved trend analysis and prediction based on costs and benefits of the two systems. Interestingly, the analysis revealed that the traditional system had greater advantage on the economic dimension. Several factors support the e-learning system despite the associated economic disadvantage. The final analysis pr...

  20. Active Learning for Directed Exploration of Complex Systems

    Science.gov (United States)

    Burl, Michael C.; Wang, Esther

    2009-01-01

    Physics-based simulation codes are widely used in science and engineering to model complex systems that would be infeasible to study otherwise. Such codes provide the highest-fidelity representation of system behavior, but are often so slow to run that insight into the system is limited. For example, conducting an exhaustive sweep over a d-dimensional input parameter space with k-steps along each dimension requires k(sup d) simulation trials (translating into k(sup d) CPU-days for one of our current simulations). An alternative is directed exploration in which the next simulation trials are cleverly chosen at each step. Given the results of previous trials, supervised learning techniques (SVM, KDE, GP) are applied to build up simplified predictive models of system behavior. These models are then used within an active learning framework to identify the most valuable trials to run next. Several active learning strategies are examined including a recently-proposed information-theoretic approach. Performance is evaluated on a set of thirteen synthetic oracles, which serve as surrogates for the more expensive simulations and enable the experiments to be replicated by other researchers.

  1. E-learning implementation in superior technical educational system

    Science.gov (United States)

    Musca, Gavril; Mihalache, Andrei; Musca, Elena

    2016-11-01

    E-learning methods apply to most modern and various domains but also represent a great tool for the mechanical educational system where there are a lot of sustained efforts for its implementation. Using, administrating and maintaining an e-learning system for a certain field of study requires knowledge related to computation system's utilization but also the understanding the working mechanisms behind it that allows the system to be fully customized in order to be perfect fitted to the user's needs and requirements. A Moodle based test is evaluated from several points of views such as coherence clarity, concise content, information synthesis capacity and the presentation mode which makes the difference between clear or fuzzy graphical representations or terms. The authors appreciate that the ability of managing information in real time by the professor is a decisive decision in order to successfully implement an e-learning web platform. Updating information and structuring trainee's activities from thoroughgoing study up to their individual proposals for conceived applications leads to a better understanding and practical knowledge of theory.

  2. Learning Management System In Distance Learning And Design Process Of A Synchronous Learning Platform: Case of Karadeniz Technical University

    Directory of Open Access Journals (Sweden)

    Adnan Baki

    2009-03-01

    Full Text Available The fact that web based distance learning concept has recently gained more and more significance has required the establishment of virtual campuses at universities and the provision of synchronous and asynchronous education facilities to be used in these campuses. While applying distance learning methods, the universities should adopt genuine learning management systems that could reflect their own characteristics and meet their own needs which are also adaptable to mid and long-term technological changes. The universities should also have synchronous education facilities integrated to the system.1. MethodologyAs is required by the nature of the research problem itself, this study bears a qualitative feature. “Action research”, which is one of the qualitative research approaches has been used in this study. Documents and observations have been used as data collection instruments. The diaries of the students who participated to the research during the design of the system have been analysed using document analysis technique. The research has been conducted with the participation of 14 M.A. students from Karadeniz Technical University, Fatih Faculty of Education, Department of Computer and Instructional Technologies during 2008-2009 spring term. During the research students‟ individual diaries, have been coded and qualitatively analysed. The results of the qualitative analysis indicate similar and different cases experienced by two different students groups during the study.2. System Design ProcessIt has turned out that specific software with synchronous and asynchronous features should be employed in order to ensure effective use of the present distance learning system. The preparation of synchronous and asynchronous chapters has required different coding and design features therefore two different groups have been formed.The synchronous and asynchronous working groups have made a literature review regarding their own fields of study. The

  3. The Use of a Mobile Learning Management System at an Online University and Its Effect on Learning Satisfaction and Achievement

    OpenAIRE

    Won Sug Shin; Minseok Kang

    2015-01-01

    This study investigates online students’ acceptance of mobile learning and its influence on learning achievement using an information system success and extended technology acceptance model (TAM). Structural equation modeling was used to test the structure of individual, social, and systemic factors influencing mobile learning’s acceptance, and how said acceptance influences learning satisfaction and achievement. Unlike earlier TAM-related research that did not provide a broad view of technol...

  4. Use of learning models and media regarding reproductive health attitudes and reproductive system learning outcomes in senior high schools

    Directory of Open Access Journals (Sweden)

    Isoh Sukaesah, Rusdi

    2017-12-01

    Full Text Available Model and learning media is an important component that may affect the achievement of learning objectives. Model selection and appropriate learning media can improve student learning outcomes both in the cognitive and affective domains. This study was aimed to examine the effect of the learning model Think Pair Share (TPS, Student Team Achievement Division (STAD and Conventional learning model and the interaction model and learning media attitude towards reproductive health and student learning outcomes in the material reproductive system. The study was conducted at XI MIA grade students in four Senior High Schools in North Jakarta the academic year 2014/2015. Data were collected through the test instrument scale reproductive health attitudes and learning outcomes instruments reproductive system. Data were analyzed by Two-Way ANOVA and Tukey Test. The results showed that the use of models and instructional media and the interaction between the model and learning media significantly influence the attitude of reproductive health and learning outcomes of the reproductive system of high school students with a significance value (p<  = 0.01.

  5. Designing and Developing a Reflexive Learning System for Managing Systemic Change

    Directory of Open Access Journals (Sweden)

    Ray Ison

    2014-04-01

    Full Text Available We offer a reflection on our own praxis as designers and developers of a learning system for mature-age students through the Open University (OU UK’s internationally recognised supported-open learning approach. The learning system (or course or module, which required an investment in the range of £0.25–0.5 million to develop, thus reflects our own history (traditions of understanding, the history of the context and the history of cyber-systemic thought and praxis including our own engagement with particular cyber-systemic lineages. This module, “Managing systemic change: inquiry, action and interaction” was first studied by around 100 students in 2010 as part of a new OU Masters Program on Systems Thinking in Practice (STiP and is now in its fourth presentation to around 100 students. Understanding and skills in systemic inquiry, action and interaction are intended learning outcomes. Through their engagement with the module and each other’s perspectives, students develop critical appreciation of systems practice and social learning systems, drawing on their own experiences of change. Students are practitioners from a wide range of domains. Through activities such as online discussions and blogging, they ground the ideas introduced in the module in their own circumstances and develop their own community by pursuing two related systemic inquiries. In this process, they challenge themselves, each other and the authors as learning system designers. We reflect on what was learnt by whom and how and for what purposes.

  6. E-Learning Recommender System Based on Collaborative Filtering and Ontology

    OpenAIRE

    John Tarus; Zhendong Niu; Bakhti Khadidja

    2017-01-01

    In recent years, e-learning recommender systems has attracted great attention as a solution towards addressing the problem of information overload in e-learning environments and providing relevant recommendations to online learners. E-learning recommenders continue to play an increasing educational role in aiding learners to find appropriate learning materials to support the achievement of their learning goals. Although general recommender systems have recorded significant success in solving ...

  7. Proposal of convergence of e-Learning Systems for t-Learning

    Directory of Open Access Journals (Sweden)

    B.B. Franco1

    2008-03-01

    Full Text Available This article presents considerations aboutviability on reutilize existing web based e-Learning systemson Interactive Digital TV environment according to DigitalTV standard adopted in Brazil. Considering the popularityof Moodle system in academic and corporative area, suchsystem was chosen as a foundation for a survey into itsproperties to create a specification of an ApplicationProgramming Interface (API for convergence to t-Learningcharacteristics that demands efforts in interface design areadue the fact that computer and TV concepts are totallydifferent. This work aims to present studies concerning userinterface design during two stages: survey and detail offunctionalities from an e-Learning system and how to adaptthem for the Interactive TV regarding usability context andInformation Architecture concepts.

  8. E-learning environment as intelligent tutoring system

    Science.gov (United States)

    Nagyová, Ingrid

    2017-07-01

    The development of computers and artificial intelligence theory allow their application in the field of education. Intelligent tutoring systems reflect student learning styles and adapt the curriculum according to their individual needs. The building of intelligent tutoring systems requires not only the creation of suitable software, but especially the search and application of the rules enabling ICT to individually adapt the curriculum. The main idea of this paper is to attempt to specify the rules for dividing the students to systematically working students and more practically or pragmatically inclined students. The paper shows that monitoring the work of students in e-learning environment, analysis of various approaches to educational materials and correspondence assignments show different results for the defined groups of students.

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

    Directory of Open Access Journals (Sweden)

    S. V. S. Chaudhary

    2013-09-01

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

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

    OpenAIRE

    Chaudhary, S. V. S.; Dey, Niradhar

    2013-01-01

    Assessment is an integral part of the learning process. The traditional practice of assessment has changed to meet the need of the contemporary society. In this paper assessment strategies used in Open and Distance Education are discussed and constructive suggestions are given to meet the challenges of assessment. Recently we experience a paradigm shift in assessment both in face-to-face and ODL system. Content-based testing has shifted to performance-based assessment. Assessment is no longer...

  11. Systems engineering, systems thinking, and learning a case study in space industry

    CERN Document Server

    Moser, Hubert Anton

    2014-01-01

    This book focuses on systems engineering, systems thinking, and how that thinking can be learned in practice. It describes a novel analytical framework based on activity theory for understanding how systems thinking evolves and how it can be improved to support multidisciplinary teamwork in the context of system development and systems engineering. This method, developed using data collected over four years from three different small space systems engineering organizations, can be applied in a wide variety of work activities in the context of engineering design and beyond in order to monitor and analyze multidisciplinary interactions in working teams over time. In addition, the book presents a practical strategy called WAVES (Work Activity for a Evolution of Systems engineering and thinking), which fosters the practical learning of systems thinking with the aim of improving process development in different industries. The book offers an excellent resource for researchers and practitioners interested in system...

  12. Machine learning strategies for systems with invariance properties

    Science.gov (United States)

    Ling, Julia; Jones, Reese; Templeton, Jeremy

    2016-08-01

    In many scientific fields, empirical models are employed to facilitate computational simulations of engineering systems. For example, in fluid mechanics, empirical Reynolds stress closures enable computationally-efficient Reynolds Averaged Navier Stokes simulations. Likewise, in solid mechanics, constitutive relations between the stress and strain in a material are required in deformation analysis. Traditional methods for developing and tuning empirical models usually combine physical intuition with simple regression techniques on limited data sets. The rise of high performance computing has led to a growing availability of high fidelity simulation data. These data open up the possibility of using machine learning algorithms, such as random forests or neural networks, to develop more accurate and general empirical models. A key question when using data-driven algorithms to develop these empirical models is how domain knowledge should be incorporated into the machine learning process. This paper will specifically address physical systems that possess symmetry or invariance properties. Two different methods for teaching a machine learning model an invariance property are compared. In the first method, a basis of invariant inputs is constructed, and the machine learning model is trained upon this basis, thereby embedding the invariance into the model. In the second method, the algorithm is trained on multiple transformations of the raw input data until the model learns invariance to that transformation. Results are discussed for two case studies: one in turbulence modeling and one in crystal elasticity. It is shown that in both cases embedding the invariance property into the input features yields higher performance at significantly reduced computational training costs.

  13. System 80+{trademark} standard design incorporates radiation protection lessons learned

    Energy Technology Data Exchange (ETDEWEB)

    Crom, T.D.; Naugle, C.L. [Duke Engineering & Services, Inc., Charlotte, NC (United States); Turk, R.S. [ABB Combustion Engineering Nuclear Power, Windsor, CT (United States)

    1995-03-01

    Many lessons have been learned from the current generation of nuclear plants in the area of radiation protection. The following paper will outline how the lessons learned have been incorporated into the design and operational philosophy of the System 80+{trademark} Standard Design currently under development by ABB Combustion Engineering (ABB-CE) with support from Duke Engineering and Services, Inc. and Stone and Webster Engineering Corporation in the Balance-of-Plant design. The System 80+{trademark} Standard Design is a complete nuclear power plant for national and international markets, designed in direct response to utility needs for the 1990`s, and scheduled for Nuclear Regulatory Commission (NRC) Design Certification under the new standardization rule (10 CFR Part 52). System 80+{trademark} is a natural extension of System 80{sup R} technology, an evolutionary change based on proven Nuclear Steam Supply System (NSSS) in operation at Palo Verde in Arizona and under construction at Yonggwang in the Republic of Korea. The System 80+{trademark} Containment and much of the Balance of Plant design is based upon Duke Power Company`s Cherokee Plant, which was partially constructed in the late 1970`s, but, was later canceled (due to rapid declined in electrical load growth). The System 80+{trademark} Standard Design meets the requirements given in the Electric Power Research Institute (EPRI) Advanced Light Water Reactor (ALWR) Requirements Document. One of these requirements is to limit the occupational exposure to 100 person-rem/yr. This paper illustrates how this goal can be achieved through the incorporation of lessons learned, innovative design, and the implementation of a common sense approach to operation and maintenances practices.

  14. Designing a Hospital Intranet Nurse Learning System for Improving Continuing Nursing Education.

    Science.gov (United States)

    Mak, Hing-Yin; Mallard, Andrew P.; Kwok, John CK.

    2001-01-01

    Discussion of continuing nurse education focuses on the development of a Nursing Intranet Learning System developed in Hong Kong, a cost effective, multilingual Internet-based system. Describes advantages of Web-based learning over traditional computer-based learning systems; considers content acquisition, content management, and content…

  15. An Effect of the Learning Environment Management System toward Student Quality of Thai Secondary School

    Science.gov (United States)

    Wirussawa, Seatuch; Tesaputa, Kowat; Duangpaeng, Amporn

    2016-01-01

    This study aimed at 1) investigating the element of the learning environment management system in the secondary schools, 2) exploring the current states and problems of the system on the learning environment management in the secondary schools, 3) designing the learning environment management system for the secondary schools, and 4) identifying…

  16. Successful Implementation of a Computer-Supported Collaborative Learning System in Teaching E-Commerce

    Science.gov (United States)

    Ngai, E. W. T.; Lam, S. S.; Poon, J. K. L.

    2013-01-01

    This paper describes the successful application of a computer-supported collaborative learning system in teaching e-commerce. The authors created a teaching and learning environment for 39 local secondary schools to introduce e-commerce using a computer-supported collaborative learning system. This system is designed to equip students with…

  17. Representation Learning Based Speech Assistive System for Persons With Dysarthria.

    Science.gov (United States)

    Chandrakala, S; Rajeswari, Natarajan

    2017-09-01

    An assistive system for persons with vocal impairment due to dysarthria converts dysarthric speech to normal speech or text. Because of the articulatory deficits, dysarthric speech recognition needs a robust learning technique. Representation learning is significant for complex tasks such as dysarthric speech recognition. We focus on robust representation for dysarthric speech recognition that involves recognizing sequential patterns of varying length utterances. We propose a hybrid framework that uses a generative learning based data representation with a discriminative learning based classifier. In this hybrid framework, we propose to use Example Specific Hidden Markov Models (ESHMMs) to obtain log-likelihood scores for a dysarthric speech utterance to form fixed dimensional score vector representation. This representation is used as an input to discriminative classifier such as support vector machine.The performance of the proposed approach is evaluatedusingUA-Speechdatabase.The recognitionaccuracy is much better than the conventional hidden Markov model based approach and Deep Neural Network-Hidden Markov Model (DNN-HMM). The efficiency of the discriminative nature of score vector representation is proved for "very low" intelligibility words.

  18. Multimedia And Internetworking Architecture Infrastructure On Interactive E-Learning System

    Science.gov (United States)

    Indah, K. A. T.; Sukarata, G.

    2018-01-01

    Interactive e-learning is a distance learning method that involves information technology, electronic system or computer as one means of learning system used for teaching and learning process that is implemented without having face to face directly between teacher and student. A strong dependence on emerging technologies greatly influences the way in which the architecture is designed to produce a powerful interactive e-learning network. In this paper analyzed an architecture model where learning can be done interactively, involving many participants (N-way synchronized distance learning) using video conferencing technology. Also used broadband internet network as well as multicast techniques as a troubleshooting method for bandwidth usage can be efficient.

  19. Operationalizing the learning health care system in an integrated delivery system.

    Science.gov (United States)

    Psek, Wayne A; Stametz, Rebecca A; Bailey-Davis, Lisa D; Davis, Daniel; Darer, Jonathan; Faucett, William A; Henninger, Debra L; Sellers, Dorothy C; Gerrity, Gloria

    2015-01-01

    The Learning Health Care System (LHCS) model seeks to utilize sophisticated technologies and competencies to integrate clinical operations, research and patient participation in order to continuously generate knowledge, improve care, and deliver value. Transitioning from concept to practical application of an LHCS presents many challenges but can yield opportunities for continuous improvement. There is limited literature and practical experience available in operationalizing the LHCS in the context of an integrated health system. At Geisinger Health System (GHS) a multi-stakeholder group is undertaking to enhance organizational learning and develop a plan for operationalizing the LHCS system-wide. We present a framework for operationalizing continuous learning across an integrated delivery system and lessons learned through the ongoing planning process. The framework focuses attention on nine key LHCS operational components: Data and Analytics; People and Partnerships; Patient and Family Engagement; Ethics and Oversight; Evaluation and Methodology; Funding; Organization; Prioritization; and Deliverables. Definitions, key elements and examples for each are presented. The framework is purposefully broad for application across different organizational contexts. A realistic assessment of the culture, resources and capabilities of the organization related to learning is critical to defining the scope of operationalization. Engaging patients in clinical care and discovery, including quality improvement and comparative effectiveness research, requires a defensible ethical framework that undergirds a system of strong but flexible oversight. Leadership support is imperative for advancement of the LHCS model. Findings from our ongoing work within the proposed framework may inform other organizations considering a transition to an LHCS.

  20. MASCARET: creating virtual learning environments from system modelling

    Science.gov (United States)

    Querrec, Ronan; Vallejo, Paola; Buche, Cédric

    2013-03-01

    The design process for a Virtual Learning Environment (VLE) such as that put forward in the SIFORAS project (SImulation FOR training and ASsistance) means that system specifications can be differentiated from pedagogical specifications. System specifications can also be obtained directly from the specialists' expertise; that is to say directly from Product Lifecycle Management (PLM) tools. To do this, the system model needs to be considered as a piece of VLE data. In this paper we present Mascaret, a meta-model which can be used to represent such system models. In order to ensure that the meta-model is capable of describing, representing and simulating such systems, MASCARET is based SysML1, a standard defined by Omg.

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

    Directory of Open Access Journals (Sweden)

    Maria Samarakou

    2016-09-01

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

  2. Online Learning Flight Control for Intelligent Flight Control Systems (IFCS)

    Science.gov (United States)

    Niewoehner, Kevin R.; Carter, John (Technical Monitor)

    2001-01-01

    The research accomplishments for the cooperative agreement 'Online Learning Flight Control for Intelligent Flight Control Systems (IFCS)' include the following: (1) previous IFC program data collection and analysis; (2) IFC program support site (configured IFC systems support network, configured Tornado/VxWorks OS development system, made Configuration and Documentation Management Systems Internet accessible); (3) Airborne Research Test Systems (ARTS) II Hardware (developed hardware requirements specification, developing environmental testing requirements, hardware design, and hardware design development); (4) ARTS II software development laboratory unit (procurement of lab style hardware, configured lab style hardware, and designed interface module equivalent to ARTS II faceplate); (5) program support documentation (developed software development plan, configuration management plan, and software verification and validation plan); (6) LWR algorithm analysis (performed timing and profiling on algorithm); (7) pre-trained neural network analysis; (8) Dynamic Cell Structures (DCS) Neural Network Analysis (performing timing and profiling on algorithm); and (9) conducted technical interchange and quarterly meetings to define IFC research goals.

  3. Toward a Student-Centered Measure of Learning Management System Utilization

    Science.gov (United States)

    Malm, Eric; Defranco, Joanna F.

    2012-01-01

    Colleges and universities have spent significant financial and human resources deploying and promoting educational technologies, including Learning Management Systems (LMS). A large body of research now exists on the impact of technology on student learning, including the roles of blended learning, hybrid classes, and distance learning. Yet,…

  4. Development of an E-Learning Platform for Vocational Education Systems in Germany

    Science.gov (United States)

    Schober, Andreas; Müller, Frederik; Linden, Sabine; Klois, Martha; Künne, Bernd

    2014-01-01

    This paper describes an existing web-based learning platform named "Third Place of Learning" (TPL)--"Dritter Lernort". This project's aim is to connect the system of vocational education with digital media by a web-based learning platform. TPL supports student's digital learning by means of interactive examples and exercises.…

  5. Students' and Instructor's Perspective on the Use of Blackboard Platform for Delivering an Engineering Course

    Science.gov (United States)

    Uziak, Jacek; Oladiran, M. Tunde; Lorencowicz, Edmund; Becker, Kurt

    2016-01-01

    The use of Information Technology (IT) has been growing over the years in various human endeavours. It has also been adopted in education sector for teaching and learning. Various studies have been conducted to assess the effectiveness and acceptance of e-learning strategy by students. In particular, the current research is an attempt to obtain…

  6. An Investigation of Students' Difficulties to Create a Blackboard Sketch for the Lesson: Table of Multiplication by Two

    Science.gov (United States)

    Magdas, Ioana

    2012-01-01

    Specialists in the field of mathematical education consider that the learning of multiplication has an extremely important role not only in the area of mathematics, but also in day to day life. We can distinguish two different stages in the process of teaching-learning multiplication: a first step implies the discovery of the results within the…

  7. The Conceptual Mechanism for Viable Organizational Learning Based on Complex System Theory and the Viable System Model

    Science.gov (United States)

    Sung, Dia; You, Yeongmahn; Song, Ji Hoon

    2008-01-01

    The purpose of this research is to explore the possibility of viable learning organizations based on identifying viable organizational learning mechanisms. Two theoretical foundations, complex system theory and viable system theory, have been integrated to provide the rationale for building the sustainable organizational learning mechanism. The…

  8. Human Systems Integration in Practice: Constellation Lessons Learned

    Science.gov (United States)

    Zumbado, Jennifer Rochlis

    2012-01-01

    NASA's Constellation program provided a unique testbed for Human Systems Integration (HSI) as a fundamental element of the Systems Engineering process. Constellation was the first major program to have HSI mandated by NASA's Human Rating document. Proper HSI is critical to the success of any project that relies on humans to function as operators, maintainers, or controllers of a system. HSI improves mission, system and human performance, significantly reduces lifecycle costs, lowers risk and minimizes re-design. Successful HSI begins with sufficient project schedule dedicated to the generation of human systems requirements, but is by no means solely a requirements management process. A top-down systems engineering process that recognizes throughout the organization, human factors as a technical discipline equal to traditional engineering disciplines with authority for the overall system. This partners with a bottoms-up mechanism for human-centered design and technical issue resolution. The Constellation Human Systems Integration Group (HSIG) was a part of the Systems Engineering and Integration (SE&I) organization within the program office, and existed alongside similar groups such as Flight Performance, Environments & Constraints, and Integrated Loads, Structures and Mechanisms. While the HSIG successfully managed, via influence leadership, a down-and-in Community of Practice to facilitate technical integration and issue resolution, it lacked parallel top-down authority to drive integrated design. This presentation will discuss how HSI was applied to Constellation, the lessons learned and best practices it revealed, and recommendations to future NASA program and project managers. This presentation will discuss how Human Systems Integration (HSI) was applied to NASA's Constellation program, the lessons learned and best practices it revealed, and recommendations to future NASA program and project managers on how to accomplish this critical function.

  9. Experiences with Learning Management Systems in 113 European Institutions

    Directory of Open Access Journals (Sweden)

    Morten Flate Paulsen

    2003-10-01

    Full Text Available This article presents the major findings from six regional analyses conducted within the framework of the European Web-edu project (http://www.nettskolen.com/in_english/webedusite/index.html. It analyses the experiences of European institutions with the Learning Management Systems that they have purchased or developed themselves. Data was collected from in-depth interviews with 113 European experts, usually the systems managers in the institutions, in 17 countries. The analyses of the interviews revealed as many as 52 different commercial and 35 self-developed LMS systems. The article presents the data from these interviews and includes a series of important findings from the study. One conclusion is that there is a host of commercial and self-developed systems that seem to work satisfactorily in various educational institutions throughout Europe. The systems are not able to handle all the functions the institutions want, and they can be improved in many ways. But most systems encountered in the analyses seem to be good enough for handling online education successfully. Another conclusion is that the European market is not dominated by the American LMS systems. In countries that do not use English as the first language, locally developed LMS systems have successfully ousted the American products. Remarkably, a large number of the LMS systems used in Europe are commercial systems developed locally, or self-developed systems built by the institutions.

  10. A Distance Instructional System with Learning Performance Evaluation Mechanism: Moodle-Based Educational System Design

    Science.gov (United States)

    Lee, Ying-Chen; Terashima, Nobuyoshi

    2012-01-01

    In this paper, a Moodle-based educational system has been constructed by providing friendly interface to fit most students in e-learning. For the website implementation, the authors take the course "Multimedia Implementation Using JAVA" as a case study. From the modified Moodle-based educational system, the browsing time of each web page for…

  11. An Analysis Of Personalized Learning Systems For Navy Training And Education Settings

    Science.gov (United States)

    2016-12-01

    projectlearning.org/ blog /wp-content/uploads/2014/02/Influences-on- Student- Learning -John-Hattie.pdf Hays, R. (2006). The science of learning : A systems theory... LEARNING SYSTEMS FOR NAVY TRAINING AND EDUCATION SETTINGS by Nathaniel J. Robbins December 2016 Thesis Advisor: Jesse Cunha Co-Advisor: Marigee...DATES COVERED Master’s thesis 4. TITLE AND SUBTITLE AN ANALYSIS OF PERSONALIZED LEARNING SYSTEMS FOR NAVY TRAINING AND EDUCATION SETTINGS 5. FUNDING

  12. 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.

  13. Future teachers’ perception on the assessing systems for their learning

    Directory of Open Access Journals (Sweden)

    Víctor Manuel López Pator

    2012-11-01

    Full Text Available This paper is aimed at analysing the students’ perception on assessment and grading systems, instruments and techniques used in Teacher Education (TE. In order to determine the current situation for this assessment in TE a questionnaire containing four subscales was developed with a high reliability degree. Data obtained are applied to a simple of 635 students from 7 different colleges and analysed with both descriptive and inferential statistics using single-factor ANOVA. The outcomes show that assessing practices oriented towards learning are still minority practices in TE. On the other hand, the existence of so many significant differences between Primary Teacher Education and Secondary Teacher Education is worrisome. The analyses also suggest there are few subjects containing assessing styles oriented towards learning, although they include very varied and rich strategies.

  14. A deep-learning-based emergency alert system

    Directory of Open Access Journals (Sweden)

    Byungseok Kang

    2016-06-01

    Full Text Available Emergency alert systems serve as a critical link in the chain of crisis communication, and they are essential to minimize loss during emergencies. Acts of terrorism and violence, chemical spills, amber alerts, nuclear facility problems, weather-related emergencies, flu pandemics, and other emergencies all require those responsible such as government officials, building managers, and university administrators to be able to quickly and reliably distribute emergency information to the public. This paper presents our design of a deep-learning-based emergency warning system. The proposed system is considered suitable for application in existing infrastructure such as closed-circuit television and other monitoring devices. The experimental results show that in most cases, our system immediately detects emergencies such as car accidents and natural disasters.

  15. Personalised Context-Aware Ubiquitous Learning System for Supporting Effective English Vocabulary Learning

    Science.gov (United States)

    Chen, Chih-Ming; Li, Yi-Lun

    2010-01-01

    Because learning English is extremely popular in non-native English speaking countries, developing modern assisted-learning schemes that facilitate effective English learning is a critical issue in English-language education. Vocabulary learning is vital within English learning because vocabulary comprises the basic building blocks of English…

  16. An Adaptive E-Learning System Based on Students' Learning Styles: An Empirical Study

    Science.gov (United States)

    Drissi, Samia; Amirat, Abdelkrim

    2016-01-01

    Personalized e-learning implementation is recognized as one of the most interesting research areas in the distance web-based education. Since the learning style of each learner is different one must fit e-learning with the different needs of learners. This paper presents an approach to integrate learning styles into adaptive e-learning hypermedia.…

  17. 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…

  18. Development of the Learning Health System Researcher Core Competencies.

    Science.gov (United States)

    Forrest, Christopher B; Chesley, Francis D; Tregear, Michelle L; Mistry, Kamila B

    2017-08-04

    To develop core competencies for learning health system (LHS) researchers to guide the development of training programs. Data were obtained from literature review, expert interviews, a modified Delphi process, and consensus development meetings. The competencies were developed from August to December 2016 using qualitative methods. The literature review formed the basis for the initial draft of a competency domain framework. Key informant semi-structured interviews, a modified Delphi survey, and three expert panel (n = 19 members) consensus development meetings produced the final set of competencies. The iterative development process yielded seven competency domains: (1) systems science; (2) research questions and standards of scientific evidence; (3) research methods; (4) informatics; (5) ethics of research and implementation in health systems; (6) improvement and implementation science; and (7) engagement, leadership, and research management. A total of 33 core competencies were prioritized across these seven domains. The real-world milieu of LHS research, the embeddedness of the researcher within the health system, and engagement of stakeholders are distinguishing characteristics of this emerging field. The LHS researcher core competencies can be used to guide the development of learning objectives, evaluation methods, and curricula for training programs. © Health Research and Educational Trust.

  19. Lessons learned on the Ground Test Accelerator control system

    Energy Technology Data Exchange (ETDEWEB)

    Kozubal, A.J.; Weiss, R.E.

    1994-09-01

    When we initiated the control system design for the Ground Test Accelerator (GTA), we envisioned a system that would be flexible enough to handle the changing requirements of an experimental project. This control system would use a developers` toolkit to reduce the cost and time to develop applications for GTA, and through the use of open standards, the system would accommodate unforeseen requirements as they arose. Furthermore, we would attempt to demonstrate on GTA a level of automation far beyond that achieved by existing accelerator control systems. How well did we achieve these goals? What were the stumbling blocks to deploying the control system, and what assumptions did we make about requirements that turned out to be incorrect? In this paper we look at the process of developing a control system that evolved into what is now the ``Experimental Physics and Industrial Control System`` (EPICS). Also, we assess the impact of this system on the GTA project, as well as the impact of GTA on EPICS. The lessons learned on GTA will be valuable for future projects.

  20. System Constellations as a Tool Supporting Organisational Learning and Change Processes

    Science.gov (United States)

    Birkenkrahe, Marcus

    2008-01-01

    Originally developed in the context of family therapy, system constellations are introduced using an organisational learning and system theoretical framework. Constellations are systemic group interventions using a spatial representation of the system elements. They correspond to deutero-learning processes and use higher-order systemic thinking.…

  1. The Use of SDMs in Developing E-Learning Systems in South Africa

    Science.gov (United States)

    Taylor, Estelle; van Aswegen, Kobus; Huisman, Magda

    2014-01-01

    The main focus of this study is to determine if systems development methodologies (SDMs) are being utilised in the development of electronic learning systems in South Africa. Electronic learning, or e-learning, is being employed to educate millions of learners, students and employees around the world and it is a critical component of modern…

  2. Establishment and Usability Evaluation of an Interactive AR Learning System on Conservation of Fish

    Science.gov (United States)

    Lin, Hao-Chiang Koong; Hsieh, Min-Chai; Wang, Cheng-Hung; Sie, Zong-Yuan; Chang, Shei-Hsi

    2011-01-01

    In this study, we develop an interactive AR Learning System based on Augmented Reality and interactive touch-screen. The learning content knowledge is about conservation of fish in Taiwan. The system combines the game by the concept of AR book which allows children to learn about the importance of conservation of fish. A mechanism is designed to…

  3. A Game Based e-Learning System to Teach Artificial Intelligence in the Computer Sciences Degree

    Science.gov (United States)

    de Castro-Santos, Amable; Fajardo, Waldo; Molina-Solana, Miguel

    2017-01-01

    Our students taking the Artificial Intelligence and Knowledge Engineering courses often encounter a large number of problems to solve which are not directly related to the subject to be learned. To solve this problem, we have developed a game based e-learning system. The elected game, that has been implemented as an e-learning system, allows to…

  4. Flip-J: Development of the System for Flipped Jigsaw Supported Language Learning

    Science.gov (United States)

    Yamada, Masanori; Goda, Yoshiko; Hata, Kojiro; Matsukawa, Hideya; Yasunami, Seisuke

    2016-01-01

    This study aims to develop and evaluate a language learning system supported by the "flipped jigsaw" technique, called "Flip-J". This system mainly consists of three functions: (1) the creation of a learning material database, (2) allocation of learning materials, and (3) formation of an expert and jigsaw group. Flip-J was…

  5. Digital Systems Supporting Cognition and Exploratory Learning in Twenty-First Century: Guest Editorial

    Science.gov (United States)

    Spector, J. Michael; Ifenthaler, Dirk; Sampson, Demetrios G.

    2016-01-01

    Digital systems and digital technologies are globally investigated for their potential to transform learning, teaching and assessment towards offering unique learning experiences to the twenty-first century learners. This Special Issue on "Digital systems supporting cognition and exploratory learning in twenty-first century" aims to…

  6. Context-Aware Recommender Systems for Learning: A Survey and Future Challenges

    Science.gov (United States)

    Verbert, K.; Manouselis, N.; Ochoa, X.; Wolpers, M.; Drachsler, H.; Bosnic, I.; Duval, E.

    2012-01-01

    Recommender systems have been researched extensively by the Technology Enhanced Learning (TEL) community during the last decade. By identifying suitable resources from a potentially overwhelming variety of choices, such systems offer a promising approach to facilitate both learning and teaching tasks. As learning is taking place in extremely…

  7. Harnessing ICT Potential: The Adoption and Analysis of ICT Systems for Enhancing the Student Learning Experience

    Science.gov (United States)

    Dawson, Shane; Heathcote, Liz; Poole, Gary

    2010-01-01

    Purpose: This paper aims to examine how effective higher education institutions have been in harnessing the data capture mechanisms from their student information systems, learning management systems and communication tools for improving the student learning experience and informing practitioners of the achievement of specific learning outcomes.…

  8. Am I Extravert or Introvert? Considering the Personality Effect toward e-Learning System

    Science.gov (United States)

    Al-Dujaily, Amal; Kim, Jieun; Ryu, Hokyoung

    2013-01-01

    A concern of computer-based learning system design is how to accommodate learners' individual differences during learning activities. Previous research suggests that adaptive e-learning systems can effectively address such individual differences and, consequently, they enable more directed tutoring via computer-assisted instruction. In this paper,…

  9. Developing a Lifelong Learning System in Ethiopia: Contextual Considerations and Propositions

    Science.gov (United States)

    Abiy, Dessalegn Samuel; Kabeta, Genet Gelana; Mihiretie, Dawit Mekonnen

    2014-01-01

    Initiated by a "Pilot workshop on developing capacity for establishing lifelong learning systems in UNESCO Member States" held at the UNESCO Institute for Lifelong Learning, the purpose of this study was to develop a Lifelong Learning system in Ethiopia. Preparations for its conceptualisation included the review of relevant national…

  10. Adding Learning to Knowledge-Based Systems: Taking the "Artificial" Out of AI

    Science.gov (United States)

    Daniel L. Schmoldt

    1997-01-01

    Both, knowledge-based systems (KBS) development and maintenance require time-consuming analysis of domain knowledge. Where example cases exist, KBS can be built, and later updated, by incorporating learning capabilities into their architecture. This applies to both supervised and unsupervised learning scenarios. In this paper, the important issues for learning systems-...

  11. 'Learn From Every Patient': implementation and early results of a learning health system.

    Science.gov (United States)

    Lowes, Linda P; Noritz, Garey H; Newmeyer, Amy; Embi, Peter J; Yin, Han; Smoyer, William E

    2017-02-01

    The convergence of three major trends in medicine, namely conversion to electronic health records (EHRs), prioritization of translational research, and the need to control healthcare expenditures, has created unprecedented interest and opportunities to develop systems that improve care while reducing costs. However, operationalizing a 'learning health system' requires systematic changes that have not yet been widely demonstrated in clinical practice. We developed, implemented, and evaluated a model of EHR-supported care in a cohort of 131 children with cerebral palsy that integrated clinical care, quality improvement, and research, entitled 'Learn From Every Patient' (LFEP). Children treated in the LFEP Program for a 12-month period experienced a 43% reduction in total inpatient days (p=0.030 vs prior 12mo period), a 27% reduction in inpatient admissions, a 30% reduction in emergency department visits (p=0.001), and a 29% reduction in urgent care visits (p=0.046). LFEP Program implementation also resulted in reductions in healthcare costs of 210% (US$7014/child) versus a Time control group, and reductions of 176% ($6596/child) versus a Program Activities control group. Importantly, clinical implementation of the LFEP Program has also driven the continuous accumulation of robust research-quality data for both publication and implementation of evidence-based improvements in clinical care. These results demonstrate that a learning health system can be developed and implemented in a cost-effective manner, and can integrate clinical care and research to systematically drive simultaneous clinical quality improvement and reduced healthcare costs. © 2016 Mac Keith Press.

  12. An Android malware detection system based on machine learning

    Science.gov (United States)

    Wen, Long; Yu, Haiyang

    2017-08-01

    The Android smartphone, with its open source character and excellent performance, has attracted many users. However, the convenience of the Android platform also has motivated the development of malware. The traditional method which detects the malware based on the signature is unable to detect unknown applications. The article proposes a machine learning-based lightweight system that is capable of identifying malware on Android devices. In this system we extract features based on the static analysis and the dynamitic analysis, then a new feature selection approach based on principle component analysis (PCA) and relief are presented in the article to decrease the dimensions of the features. After that, a model will be constructed with support vector machine (SVM) for classification. Experimental results show that our system provides an effective method in Android malware detection.

  13. Iterative learning control for multi-agent systems coordination

    CERN Document Server

    Yang, Shiping; Li, Xuefang; Shen, Dong

    2016-01-01

    A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, this book showcases recent advances and industrially relevant applications. Readers are first given a comprehensive overview of the intersection between ILC and MAS, then introduced to a range of topics that include both basic and advanced theoretical discussions, rigorous mathematics, engineering practice, and both linear and nonlinear systems. Through systematic discussion of network theory and intelligent control, the authors explore future research possibilities, develop new tools, and provide numerous applications such as power grids, communication and sensor networks, intelligent transportation systems, and formation control. Readers will gain a roadmap of the latest advances in the fields and can use their newfound knowledge to design their own algorithms.

  14. Investigating relationship between self- and co-regulatory learning processes in a workplace e-learning system

    NARCIS (Netherlands)

    Rahimi, E.; Tampinongkol, S.; Sedighi, M.; Van den Berg, J.; Veen, W.

    2014-01-01

    While supporting regulatory learning processes in work environments is increasingly becoming important, there is not a clear picture of the interaction between self- and coregulatory processes performed by learners in workplace e-learning systems. In this paper, by following a design-based research

  15. Can E-Learning System Enhance Learning Culture in the Workplace? A Comparison among Companies in South Korea

    Science.gov (United States)

    Yoo, Sun Joo; Huang, Wenhao David

    2016-01-01

    How organizations need to act in order to develop their learning capacities has always been a focal interest of research and practice in the workplace. In practice, an e-learning system is often utilized to foster professional development as it is capable of delivering information and knowledge to individuals across organizations. However, the…

  16. Personal recommender systems for learners in lifelong learning: requirements, techniques and model

    NARCIS (Netherlands)

    Drachsler, Hendrik; Hummel, Hans; Koper, Rob

    2007-01-01

    Drachsler, H., Hummel, H. G. K., & Koper, R. (2008). Personal recommender systems for learners in lifelong learning: requirements, techniques and model. International Journal of Learning Technology, 3(4), 404-423.

  17. Context-aware Recommender Systems for Learning: a Survey and Future Challenges

    NARCIS (Netherlands)

    Verbert, Katrien; Manouselis, Nikos; Xavier, Ochoa; Wolpers, Martin; Drachsler, Hendrik; Ivana, Bosnic; Erik, Duval

    2011-01-01

    Verbert, K., Manouselis, N., Xavier, O., Wolpers, M., Drachsler, H., Bosnic, I., & Duval, E. (accepted). Context-aware Recommender Systems for Learning: a Survey and Future Challenges. IEEE Transactions on Learning Technologies (TLT).

  18. Igloo: mobile learning system to facilitate and support learners and educators

    CSIR Research Space (South Africa)

    Ogunleye, S

    2009-12-01

    Full Text Available This paper describes the design, implementation and evaluation a mobile learning technology, namely IGLOO for mobile devices. It is intended to support educators as well as students in a learning environment. A working prototype system is discussed...

  19. Hand Rehabilitation Learning System With an Exoskeleton Robotic Glove.

    Science.gov (United States)

    Ma, Zhou; Ben-Tzvi, Pinhas; Danoff, Jerome

    2016-12-01

    This paper presents a hand rehabilitation learning system, the SAFE Glove, a device that can be utilized to enhance the rehabilitation of subjects with disabilities. This system is able to learn fingertip motion and force for grasping different objects and then record and analyze the common movements of hand function including grip and release patterns. The glove is then able to reproduce these movement patterns in playback fashion to assist a weakened hand to accomplish these movements, or to modulate the assistive level based on the user's or therapist's intent for the purpose of hand rehabilitation therapy. Preliminary data have been collected from healthy hands. To demonstrate the glove's ability to manipulate the hand, the glove has been fitted on a wooden hand and the grasping of various objects was performed. To further prove that hands can be safely driven by this haptic mechanism, force sensor readings placed between each finger and the mechanism are plotted. These experimental results demonstrate the potential of the proposed system in rehabilitation therapy.

  20. Evaluation of the learning management system using students' perceptions.

    Science.gov (United States)

    Sayfouri, Nasrin

    2016-01-01

    Background: Learning Management System (LMS) is a web-based system designed to support teaching and learning at an institution. The capabilities of any LMS are required to be evaluated to detect the room for improvement. This study aimed at discovering the students' perceptions of the functions of the LMS at Iran University of Medical Sciences (IUMS). Methods: This qualitative study included 15 students of two master programs of Biostatistics and Medical Librarianship during the fall semester of 2015. The participants were asked to write down their perceptions of the experiences they had while using the LMS and classify them based on two categories of "Advantages and Drawbacks". Framework Analysis technique was used to analyze the views. Results: The themes emerging from the 'Advantages' included advantages for the students, advantages for the teachers, and advantages for both; however, those from the 'Drawbacks' were found to be technical and nontechnical problems. Conclusion: The major debated points in the comments comprised the students' positive accounts of the Forum section, and their complaints of the frequent glitches recurring in the system as well as some constructive problems such as inefficient tools for typing in English. Some all-inclusive inferences concerning the methodology of the study have also been pointed out in the final section.

  1. Genetic learning in rule-based and neural systems

    Science.gov (United States)

    Smith, Robert E.

    1993-01-01

    The design of neural networks and fuzzy systems can involve complex, nonlinear, and ill-conditioned optimization problems. Often, traditional optimization schemes are inadequate or inapplicable for such tasks. Genetic Algorithms (GA's) are a class of optimization procedures whose mechanics are based on those of natural genetics. Mathematical arguments show how GAs bring substantial computational leverage to search problems, without requiring the mathematical characteristics often necessary for traditional optimization schemes (e.g., modality, continuity, availability of derivative information, etc.). GA's have proven effective in a variety of search tasks that arise in neural networks and fuzzy systems. This presentation begins by introducing the mechanism and theoretical underpinnings of GA's. GA's are then related to a class of rule-based machine learning systems called learning classifier systems (LCS's). An LCS implements a low-level production-system that uses a GA as its primary rule discovery mechanism. This presentation illustrates how, despite its rule-based framework, an LCS can be thought of as a competitive neural network. Neural network simulator code for an LCS is presented. In this context, the GA is doing more than optimizing and objective function. It is searching for an ecology of hidden nodes with limited connectivity. The GA attempts to evolve this ecology such that effective neural network performance results. The GA is particularly well adapted to this task, given its naturally-inspired basis. The LCS/neural network analogy extends itself to other, more traditional neural networks. Conclusions to the presentation discuss the implications of using GA's in ecological search problems that arise in neural and fuzzy systems.

  2. Lessons Learned from the Puerto Rico Battery Energy Storage System

    Energy Technology Data Exchange (ETDEWEB)

    BOYES, JOHN D.; DE ANA, MINDI FARBER; TORRES, WENCESLANO

    1999-09-01

    The Puerto Rico Electric Power Authority (PREPA) installed a distributed battery energy storage system in 1994 at a substation near San Juan, Puerto Rico. It was patterned after two other large energy storage systems operated by electric utilities in California and Germany. The U.S. Department of Energy (DOE) Energy Storage Systems Program at Sandia National Laboratories has followed the progress of all stages of the project since its inception. It directly supported the critical battery room cooling system design by conducting laboratory thermal testing of a scale model of the battery under simulated operating conditions. The Puerto Rico facility is at present the largest operating battery storage system in the world and is successfully providing frequency control, voltage regulation, and spinning reserve to the Caribbean island. The system further proved its usefulness to the PREPA network in the fall of 1998 in the aftermath of Hurricane Georges. The owner-operator, PREPA, and the architect/engineer, vendors, and contractors learned many valuable lessons during all phases of project development and operation. In documenting these lessons, this report will help PREPA and other utilities in planning to build large energy storage systems.

  3. Which Management Control System principles and aspects are relevant when deploying a learning machine?

    OpenAIRE

    Martin, Johansson; Mikael, Göthager

    2017-01-01

    How shall a business adapt its management control systems when learning machines enter the arena? Will the control system continue to focus on humans aspects and continue to consider a learning machine to be an automation tool as any other historically programmed computer? Learning machines introduces productivity capabilities that achieve very high levels of efficiency and quality. A learning machine can sort through large amounts of data and make conclusions difficult by a human mind. Howev...

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

    Science.gov (United States)

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

    2011-01-01

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

  5. Intelligent Model Management in a Forest Ecosystem Management Decision Support System

    Science.gov (United States)

    Donald Nute; Walter D. Potter; Frederick Maier; Jin Wang; Mark Twery; H. Michael Rauscher; Peter Knopp; Scott Thomasma; Mayukh Dass; Hajime Uchiyama

    2002-01-01

    Decision making for forest ecosystem management can include the use of a wide variety of modeling tools. These tools include vegetation growth models, wildlife models, silvicultural models, GIS, and visualization tools. NED-2 is a robust, intelligent, goal-driven decision support system that integrates tools in each of these categories. NED-2 uses a blackboard...

  6. A Framework for Intelligent Instructional Systems: An Artificial Intelligence Machine Learning Approach.

    Science.gov (United States)

    Becker, Lee A.

    1987-01-01

    Presents and develops a general model of the nature of a learning system and a classification for learning systems. Highlights include the relationship between artificial intelligence and cognitive psychology; computer-based instructional systems; intelligent instructional systems; and the role of the learner's knowledge base in an intelligent…

  7. Requirements for Semantic Educational Recommender Systems in Formal E-Learning Scenarios

    OpenAIRE

    Jesus G. Boticario; Olga C. Santos

    2011-01-01

    This paper analyzes how recommender systems can be applied to current e-learning systems to guide learners in personalized inclusive e-learning scenarios. Recommendations can be used to overcome current limitations of learning management systems in providing personalization and accessibility features. Recommenders can take advantage of standards-based solutions to provide inclusive support. To this end we have identified the need for developing semantic educational recommender systems, which ...

  8. Coupling between Metacognition and Emotions during STEM Learning with Advanced Learning Technologies: A Critical Analysis, Implications for Future Research, and Design of Learning Systems

    Science.gov (United States)

    Azevedo, Roger; Mudrick, Nicholas; Taub, Michelle; Wortha, Franz

    2017-01-01

    Metacognition and emotions play a critical role in learners' ability to monitor and regulate their learning about 21st-century skills related to science, technology, engineering, and mathematics (STEM) content while using advanced learning technologies (ALTs; e.g., intelligent tutoring systems, serious games, hypermedia, augmented reality). In…

  9. SVM and PCA Based Learning Feature Classification Approaches for E-Learning System

    Science.gov (United States)

    Khamparia, Aditya; Pandey, Babita

    2018-01-01

    E-learning and online education has made great improvements in the recent past. It has shifted the teaching paradigm from conventional classroom learning to dynamic web based learning. Due to this, a dynamic learning material has been delivered to learners, instead ofstatic content, according to their skills, needs and preferences. In this…

  10. Learners' Ensemble Based Security Conceptual Model for M-Learning System in Malaysian Higher Learning Institution

    Science.gov (United States)

    Mahalingam, Sheila; Abdollah, Faizal Mohd; Sahib, Shahrin

    2014-01-01

    M-Learning has a potential to improve efficiency in the education sector and has a tendency to grow advance and transform the learning environment in the future. Yet there are challenges in many areas faced when introducing and implementing m-learning. The learner centered attribute in mobile learning implies deployment in untrustworthy learning…

  11. Machine learning techniques for optical communication system optimization

    DEFF Research Database (Denmark)

    Zibar, Darko; Wass, Jesper; Thrane, Jakob

    In this paper, machine learning techniques relevant to optical communication are presented and discussed. The focus is on applying machine learning tools to optical performance monitoring and performance prediction.......In this paper, machine learning techniques relevant to optical communication are presented and discussed. The focus is on applying machine learning tools to optical performance monitoring and performance prediction....

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

    Science.gov (United States)

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

    2017-07-01

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

  13. Learning Information Systems: Designing Education Programs Using Letrinhas

    Directory of Open Access Journals (Sweden)

    Célio Gonçalo Marques

    2017-01-01

    Full Text Available The Letrinhas information system contributes to the improvement of students' reading literacy combining the potential of mobile devices and the specific needs of students and teachers. This information system has emerged within the framework of a partnership established between the Instituto Politécnico de Tomar (IPT and the Artur Gonçalves Cluster of Schools, in Torres Novas, Portugal. After three years of the creation of the tool and its use in a real learning environment, the evaluation already carried out suggests a high degree of satisfaction on the part of teachers and students, as well as a very positive impact on improving the reading skills of the students involved in the project. The latest version of Letrinhas has new features which lead to the specific challenges and needs of the teachers in the above-mentioned cluster of schools. Being so, in addition to the evaluation and improvement of reading skills, the new version provides features that enable the creation of educational scenarios promoting learning environments that enhance, not only the autonomy of students, but also their motivation.

  14. A Study of Developing a System Dynamics Model for the Learning Effectiveness Evaluation

    Directory of Open Access Journals (Sweden)

    Tian-Syung Lan

    2013-01-01

    Full Text Available This study used the research method of system dynamics and applied the Vensim software to develop a learning effectiveness evaluation model. This study developed four cause-and-effect chains affecting learning effectiveness, including teachers’ teaching enthusiasm, family involvement, school’s implementation of scientific activities, and creative teaching method, as well as the system dynamics model based on the four cause-and-effect chains. Based on the developed system dynamic model, this study performed simulation to investigate the relationship among family involvement, learning effectiveness, teaching achievement, creative teaching method, and students’ learning interest. The results of this study verified that there are positive correlations between family involvement and students’ learning effectiveness, as well as students’ learning effectiveness and teachers’ teaching achievements. The results also indicated that the use of creative teaching method is able to increase students’ learning interest and learning achievement.

  15. 1st International Conference on Machine Learning for Cyber Physical Systems and Industry 4.0

    CERN Document Server

    Beyerer, Jürgen

    2016-01-01

    The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Lemgo, October 1-2, 2015. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

  16. A Radiation Learning Support System by Tri-sensory Augmented Reality using a Mobile Phone

    International Nuclear Information System (INIS)

    Shimoda, Hiroshi; Zhao, Yue; Yan, Weida; Ishii, Hirotake

    2011-01-01

    A radiation learning support system has been developed to support learning basic knowledge of radiation and its influence on the human body by using tri-sensory Augmented Reality (AR) technology with presenting information to visual, auditory and tactile sensation. The system consists of a knowledge learning mode in which learners can learn basic knowledge of radiation and an experience learning mode in which they can virtually experience its influence on the human body under various conditions. As the result of a simple evaluation, it was suggested that the system improves the learners' intuitive understanding, and information presentation to auditory and tactile sensation is more effective than that to visual sensation

  17. Inference and learning in sparse systems with multiple states

    International Nuclear Information System (INIS)

    Braunstein, A.; Ramezanpour, A.; Zhang, P.; Zecchina, R.

    2011-01-01

    We discuss how inference can be performed when data are sampled from the nonergodic phase of systems with multiple attractors. We take as a model system the finite connectivity Hopfield model in the memory phase and suggest a cavity method approach to reconstruct the couplings when the data are separately sampled from few attractor states. We also show how the inference results can be converted into a learning protocol for neural networks in which patterns are presented through weak external fields. The protocol is simple and fully local, and is able to store patterns with a finite overlap with the input patterns without ever reaching a spin-glass phase where all memories are lost.

  18. RPS Market Analysis Based on Reinforcement Learning in Power Systems

    Science.gov (United States)

    Sugano, Takanori; Kita, Hiroyuki; Tanaka, Eiichi; Hasegawa, Jun

    Deregulation and restructuring of electric power supply business are proceeding all over the world. In many cases, a competitive environment is introduced, where a market to transact electric power is established, and various attempts are done to decrease the price. On the other hand, environmental problems are pointed out in recent years. However, there is a possibility of the environmental deterioration by cost reduction of electric power. In this paper, the RPS (Renewable Portfolio Standard) system is taken up as the solution method of environmental problem under the deregulation of electric power supply business. A RPS model is created by multi-agent theory, where Q-learning is used as a decision-making technique of agent. By using this model, the RPS system is verified for its effectiveness and influence.

  19. Human-interpretable feature pattern classification system using learning classifier systems.

    Science.gov (United States)

    Ebadi, Toktam; Kukenys, Ignas; Browne, Will N; Zhang, Mengjie

    2014-01-01

    Image pattern classification is a challenging task due to the large search space of pixel data. Supervised and subsymbolic approaches have proven accurate in learning a problem's classes. However, in the complex image recognition domain, there is a need for investigation of learning techniques that allow humans to interpret the learned rules in order to gain an insight about the problem. Learning classifier systems (LCSs) are a machine learning technique that have been minimally explored for image classification. This work has developed the feature pattern classification system (FPCS) framework by adopting Haar-like features from the image recognition domain for feature extraction. The FPCS integrates Haar-like features with XCS, which is an accuracy-based LCS. A major contribution of this work is that the developed framework is capable of producing human-interpretable rules. The FPCS system achieved 91 [Formula: see text] 1% accuracy on the unseen test set of the MNIST dataset. In addition, the FPCS is capable of autonomously adjusting the rotation angle in unaligned images. This rotation adjustment raised the accuracy of FPCS to 95%. Although the performance is competitive with equivalent approaches, this was not as accurate as subsymbolic approaches on this dataset. However, the benefit of the interpretability of rules produced by FPCS enabled us to identify the distribution of the learned angles-a normal distribution around [Formula: see text]-which would have been very difficult in subsymbolic approaches. The analyzable nature of FPCS is anticipated to be beneficial in domains such as speed sign recognition, where underlying reasoning and confidence of recognition needs to be human interpretable.

  20. Experiential learning in control systems laboratories and engineering project management

    Science.gov (United States)

    Reck, Rebecca Marie

    Experiential learning is a process by which a student creates knowledge through the insights gained from an experience. Kolb's model of experiential learning is a cycle of four modes: (1) concrete experience, (2) reflective observation, (3) abstract conceptualization, and (4) active experimentation. His model is used in each of the three studies presented in this dissertation. Laboratories are a popular way to apply the experiential learning modes in STEM courses. Laboratory kits allow students to take home laboratory equipment to complete experiments on their own time. Although students like laboratory kits, no previous studies compared student learning outcomes on assignments using laboratory kits with existing laboratory equipment. In this study, we examined the similarities and differences between the experiences of students who used a portable laboratory kit and students who used the traditional equipment. During the 2014- 2015 academic year, we conducted a quasi-experiment to compare students' achievement of learning outcomes and their experiences in the instructional laboratory for an introductory control systems course. Half of the laboratory sections in each semester used the existing equipment, while the other sections used a new kit. We collected both quantitative data and qualitative data. We did not identify any major differences in the student experience based on the equipment they used. Course objectives, like research objectives and product requirements, help provide clarity and direction for faculty and students. Unfortunately, course and laboratory objectives are not always clearly stated. Without a clear set of objectives, it can be hard to design a learning experience and determine whether students are achieving the intended outcomes of the course or laboratory. In this study, I identified a common set of laboratory objectives, concepts, and components of a laboratory apparatus for undergraduate control systems laboratories. During the summer of