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Yamauchi, Taisei; Flanagan, Brendan; Nakamoto, Ryosuke; Dai, Yiling; Takami, Kyosuke; Ogata, Hiroaki – Smart Learning Environments, 2023
In recent years, smart learning environments have become central to modern education and support students and instructors through tools based on prediction and recommendation models. These methods often use learning material metadata, such as the knowledge contained in an exercise which is usually labeled by domain experts and is costly and…
Descriptors: Mathematics Instruction, Classification, Algorithms, Barriers
Pattanshetti, Mahantesh K.; Jasola, Sanjay; Gupta, Vivek; Rajput, Akshay – Knowledge Management & E-Learning, 2018
Learning has transcended into a life-long endeavor in the information age. It is no longer restricted to confines of formal classrooms. Consequently, a student is not restricted to traditional learning resources like teachers, textbooks or printed content. Digital resources available on the Internet form a very significant component of…
Descriptors: Electronic Learning, Open Educational Resources, Hypermedia, Computer Assisted Instruction
Maycock, Keith W.; Keating, J. G. – Journal of Computer Assisted Learning, 2017
This experimental study investigates the effect on the examination performance of a cohort of first-year undergraduate learners undertaking a Unified Modelling Language (UML) course using an adaptive learning system against a control group of learners undertaking the same UML course through a traditional lecturing environment. The adaptive…
Descriptors: Experimental Groups, Metadata, Computer Assisted Instruction, Undergraduate Students
Di Bitonto, Pierpaolo – International Journal of Distance Education Technologies, 2010
The success of communities generally implies both growth of the participants (and thus of their contributions), and an increasing array of services offered. For this reason, it is often difficult for new users to fully understand the potential of the community, while for expert users it becomes difficult both to manage the resources available in…
Descriptors: Individualized Instruction, Knowledge Management, Cognitive Style, Computer Assisted Instruction
Cook, John; Pachler, Norbert – British Journal of Educational Technology, 2012
Social and mobile technologies offer users unprecedented opportunities for communicating, interacting, sharing, meaning-making, content and context generation. And, these affordances are in constant flux driven by a powerful interplay between technological innovation and emerging cultural practices. Significantly, also, they are starting to…
Descriptors: Foreign Countries, Handheld Devices, Workplace Learning, Education Work Relationship
Sasaki, Shiori; Watagoshi, Kiku; Takano, Kosuke; Hirashima, Kazuo; Kiyoki, Yasushi – Interactive Technology and Smart Education, 2010
Purpose: The purpose of this paper is to present the design and implementation of music courseware that features a music search system that uses impression keywords. The paper applies the courseware to "Kansei" (sensibility) development for elementary and junior high school students. The objectives of this courseware are to cultivate…
Descriptors: Foreign Countries, Music Education, Elementary School Teachers, Elementary School Students
Nowinski, Wieslaw L.; Thirunavuukarasuu, Arumugam; Volkau, Ihar; Marchenko, Yevgen; Aminah, Bivi; Gelas, Arnaud; Huang, Su; Lee, Looi Chow; Liu, Jimin; Ng, Ting Ting; Nowinska, Natalia G.; Qian, Guoyu Yu; Puspitasari, Fiftarina; Runge, Val M. – Anatomical Sciences Education, 2009
The increasing complexity of human body models enabled by advances in diagnostic imaging, computing, and growing knowledge calls for the development of a new generation of systems for intelligent exploration of these models. Here, we introduce a novel paradigm for the exploration of digital body models illustrating cerebral vasculature. It enables…
Descriptors: Medical Education, Models, Human Body, Brain

Anido, Luis E.; Fernandez, Manuel J.; Caeiro, Manuel; Santos, Juan M.; Rodriguez, Judith S.; Llamas, Martin – Computers & Education, 2002
Discusses the need for standardization for learning technologies in computer-based training systems. Highlights include institutions and organizations involved in standardization; a survey of educational metadata; how these data models are applied by actual software systems to facilitate the location of learning resources; and educational…
Descriptors: Computer Assisted Instruction, Computer Software, Educational Resources, Educational Technology
Huang, Weihong; Webster, David; Wood, Dawn; Ishaya, Tanko – British Journal of Educational Technology, 2006
Recent developments of e-learning specifications such as Learning Object Metadata (LOM), Sharable Content Object Reference Model (SCORM), Learning Design and other pedagogy research in semantic e-learning have shown a trend of applying innovative computational techniques, especially Semantic Web technologies, to promote existing content-focused…
Descriptors: Semantics, Computer Assisted Instruction, Internet, Metadata
Farmer, Rod; Gruba, Paul – Computer Assisted Language Learning, 2006
The purpose of this article is to introduce end-user development (EUD) processes to the CALL software development community. EUD refers to the active participation of end-users, as non-professional developers, in the software development life cycle. Unlike formal software engineering approaches, the focus in EUD on means/ends development is…
Descriptors: Users (Information), Computer Software, Educational Environment, Computer Assisted Instruction
Muramatsu, Brandon; Agogino, Alice M.; Van de Sompel, Herbert; Hochstenbach, Patrick; Weibel, Stuart; Patrikalakis, Nicholas M.; Fortier, Paul J.; Ioannidis, Yannis E.; Nikolaou, Christos N.; Robinson, Allan R.; Rossignac, Jarek R.; Vinacua, Alvar; Abrams, Stephen L. – D-Lib Magazine, 1999
Describes NEEDS (National Engineering Education Delivery System), a distributed server architecture developed to enable new pedagogical models based on Internet-mediated learning environments; linking solutions for electronic library services; Dublin Core updates citing relationship to other metadata efforts; and the computational, structural and…
Descriptors: Cataloging, Computer Assisted Instruction, Electronic Libraries, Engineering Education
Limanauskiene, Virginija; Stuikys, Vytautas – Electronic Journal of e-Learning, 2009
With the expansion of e-learning, the understanding and evaluation of already created e-learning environments is becoming an extremely important issue. One way to dealing with the problem is analysis of case studies, i.e. already created environments, from the reuse perspective. The paper presents a general framework and model to assess UNITE, the…
Descriptors: Electronic Learning, Communication Problems, Computer Assisted Instruction, Editing

Peraya, Daniel; Levrat, Bernard – Educational Media International, 1999
Discussion of the development of distance education in Switzerland focuses on a history of the Swiss Virtual Campus and an explanation of the role of the Educational Technologies Unit of the University of Geneva (TECFA). Topics include the integration of information technologies, teacher training, and the management of metadata. Contains 35…
Descriptors: Computer Assisted Instruction, Distance Education, Educational Technology, Foreign Countries
Paramythis, Alexandros; Loidl-Reisinger, Susanne – Electronic Journal of e-Learning, 2004
This paper examines the sufficiency of existing e-Learning standards for facilitating and supporting the introduction of adaptive techniques in computer-based learning systems. To that end, the main representational and operational requirements of adaptive learning environments are examined and contrasted against current eLearning standards. The…
Descriptors: Electronic Learning, Educational Environment, Academic Standards, Design Requirements
Engelhardt, Michael; Hildebrand, Arne; Lange, Dagmar; Schmidt, Thomas C. – Campus-Wide Information Systems, 2006
Purpose: The paper aims to introduce an educational content management system, Hypermedia Learning Objects System (hylOs), which is fully compliant to the IEEE LOM eLearning object metadata standard. Enabled through an advanced authoring toolset, hylOs allows the definition of instructional overlays of a given eLearning object mesh.…
Descriptors: Semantics, Hypermedia, Metadata, Standards
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