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Showing 1 to 15 of 18 results Save | Export
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Higgins, Steven E.; Mercier, Emma; Burd, Elizabeth; Hatch, Andrew – International Journal of Computer-Supported Collaborative Learning, 2011
This article reviews the research and evidence about multi-touch tables to provide an analysis of their key design features and capabilities and how these might relate to their use in educational settings to support collaborative learning. A typology of design features is proposed as a synthesis of the hardware and physical characteristics of the…
Descriptors: Evidence, Educational Research, Classification, Design Requirements
Speece, Mark – Online Submission, 2012
Adaptation to customer needs is a key component of competitiveness in any service industry. In online HE (higher education), which is increasingly worldwide, this adaptation must include consideration of learning styles. Most research shows that learning style has little impact on learning outcomes in online education. Nevertheless, students with…
Descriptors: Cognitive Style, Learning Modalities, Cultural Context, Classification
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Wabwoba, Franklin; Mwakondo, Fullgence M. – Journal of Information Technology Education, 2011
Every year, the Joint Admission Board (JAB) is tasked to determine those students who are expected to join various Kenyan public universities under the government sponsorship scheme. This exercise is usually extensive because of the large number of qualified students compared to the very limited number of slots at various institutions and the…
Descriptors: Foreign Countries, Developing Nations, Courses, Student Placement
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Cechinel, Cristian; Sanchez-Alonso, Salvador; Garcia-Barriocanal, Elena – Computers & Education, 2011
The continuously growth of learning resources available in on-line repositories has raised the concern for the development of automated methods for quality assessment. The current existence of on-line evaluations in such repositories has opened the possibility of searching for statistical profiles of highly-rated resources that can be used as…
Descriptors: Discriminant Analysis, Educational Resources, Classification, Automation
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Wang, Hei-Chia; Chou, Ya-lin; Guo, Jiunn-Liang – Program: Electronic Library and Information Systems, 2011
Purpose: The paper's aim is to propose a core journal decision method, called the local impact factor (LIF), which can evaluate the requirements of the local user community by combining both the access rate and the weighted impact factor, and by tracking citation information on the local users' articles. Design/methodology/approach: Many…
Descriptors: Internet, Access to Information, Weighted Scores, Models
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Hulseberg, Anna; Monson, Sarah – Journal of Electronic Resources Librarianship, 2011
Libraries spend countless hours developing websites to connect users and resources. However, how much do we really know about what website terminology and features are meaningful to our patrons? And how can we best organize websites to facilitate access to resources? This article examines these questions by presenting a case study of a…
Descriptors: Classification, Internet, Web Sites, Computer System Design
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Kovacevic, Aleksandar; Ivanovic, Dragan; Milosavljevic, Branko; Konjovic, Zora; Surla, Dusan – Program: Electronic Library and Information Systems, 2011
Purpose: The aim of this paper is to develop a system for automatic extraction of metadata from scientific papers in PDF format for the information system for monitoring the scientific research activity of the University of Novi Sad (CRIS UNS). Design/methodology/approach: The system is based on machine learning and performs automatic extraction…
Descriptors: Scientific Research, Library Administration, Classification, Information Science
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Thompson, Kate; Reimann, Peter – Computers & Education, 2010
A classification system that was developed for the use of agent-based models was applied to strategies used by school-aged students to interrogate an agent-based model and a system dynamics model. These were compared, and relationships between learning outcomes and the strategies used were also analysed. It was found that the classification system…
Descriptors: Prior Learning, Classification, Comparative Analysis, Models
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Magnisalis, I.; Demetriadis, S.; Karakostas, A. – IEEE Transactions on Learning Technologies, 2011
This study critically reviews the recently published scientific literature on the design and impact of adaptive and intelligent systems for collaborative learning support (AICLS) systems. The focus is threefold: 1) analyze critical design issues of AICLS systems and organize them under a unifying classification scheme, 2) present research evidence…
Descriptors: Evidence, Instructional Design, Bibliographic Databases, Classification
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Costagliola, Gennaro; Fuccella, Vittorio – International Journal of Distance Education Technologies, 2009
To correctly evaluate learners' knowledge, it is important to administer tests composed of good quality question items. By the term "quality" we intend the potential of an item in effectively discriminating between skilled and untrained students and in obtaining tutor's desired difficulty level. This article presents a rule-based e-testing system…
Descriptors: Difficulty Level, Test Items, Computer Assisted Testing, Item Response Theory
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Ozpolat, Ebru; Akar, Gozde B. – Computers & Education, 2009
A desirable characteristic for an e-learning system is to provide the learner the most appropriate information based on his requirements and preferences. This can be achieved by capturing and utilizing the learner model. Learner models can be extracted based on personality factors like learning styles, behavioral factors like user's browsing…
Descriptors: Cognitive Style, Classification, Measures (Individuals), Measurement Techniques
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Chang, Wen-Chih; Yang, Hsuan-Che; Shih, Timothy K.; Chao, Louis R. – International Journal of Distance Education Technologies, 2009
E-learning provides a convenient and efficient way for learning. Formative assessment not only guides student in instruction and learning, diagnose skill or knowledge gaps, but also measures progress and evaluation. An efficient and convenient e-learning formative assessment system is the key character for e-learning. However, most e-learning…
Descriptors: Electronic Learning, Student Evaluation, Formative Evaluation, Educational Objectives
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Ruecker, Stan; Given, Lisa M.; Sadler, Elizabeth; Ruskin, Andrea; Simpson, Heather – Visible Language, 2007
This paper examines inclusive design delivery through interface design, with a particular focus on access to healthcare resources for seniors. The goal of the project was to examine how seniors are able to access drug information using two different online systems. In the existing retrieval system, pills are identified using a standard search…
Descriptors: Older Adults, Patients, Drug Use, Identification
Weinberg, Bella Hass – Proceedings of the ASIS Annual Meeting, 1996
Discusses detailed classification systems, sophisticated alphabetical indexing systems and reasons for the abandonment of complex indexing systems. The suggested structure for indexing the Internet or other large electronic collections of documents is based on that of book indexes: specific headings with coined modifications. (Author/AEF)
Descriptors: Classification, Computer System Design, Document Delivery, Electronic Libraries
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Saleh, Mostafa S. – E-Learning, 2005
The new e-learning generation depends on Semantic Web technology to produce learning objects. As the production of these components is very costly, they should be produced and registered once, and reused and adapted in the same context or in other contexts as often as possible. To produce those components, developers should use learning standards…
Descriptors: Electronic Learning, Educational Technology, Metadata, Educational Resources
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