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Direct linkYamauchi, 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
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
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
Lytras, Miltiadis D. – 2002
The research described in this paper is concentrated on the demand for high quality interchangeable knowledge objects capable of supporting dynamic learning initiatives. The general metadata models (Dublin Core, IMS, LOM, SCORM) for knowledge objects enrichment are reviewed and a critique is provided in order to claim the importance of the…
Descriptors: Computer Assisted Instruction, Distance Education, Educational Development, Educational Environment
Download full textYahya, Yazrina; Jenkins, John; Yusoff, Mohammed – 2002
Education is moving towards revenue generation from such channels as electronic learning, distance learning and virtual education. Hence learning technology standards are critical to the sector's success. Existing learning technology standards have focused on various topics such as metadata, question and test interoperability and others. However,…
Descriptors: Comparative Analysis, Computer Assisted Instruction, Distance Education, Educational Development
Allert, Heidrun; Dhraief, Hadhami; Kunze, Tobias; Nejdl, Wolfgang; Richter, Christoph – 2002
This paper presents and discusses the evolution of a metadata-based course portal, the Open Learning Repository (OLR). Different instructional models and learning principles are integrated in order to meet different learning and teaching strategies: different metadata models (domain model, instructional model, cooperative and structural model) are…
Descriptors: Computer Assisted Instruction, Course Content, Distance Education, Educational Principles
Yang, Stephen J. H.; Chen, Irene Ya-Ling; Shao, Norman W. Y. – Educational Technology & Society, 2004
The nature of collaborative learning involves intensive interactions among collaborators, such as articulating knowledge into written, verbal or symbolic forms, authoring articles or posting messages to this community's discussion forum, responding or adding comments to messages or articles posted by others, etc. Knowledge collaborators'…
Descriptors: Knowledge Management, Information Retrieval, Cooperative Learning, Documentation
