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Schmoelz, Alexander; Swertz, Christian; Forstner, Alexandra; Barberi, Alessandro – Science Education International, 2014
This contribution looks at the Intelligent Tutoring Interface for Technology Enhanced Learning, which integrates multistage-learning and inquiry-based learning in an adaptive e-learning system. Based on a common pedagogical ontology, adaptive e-learning systems can be enabled to recommend learning objects and activities, which follow inquiry-based…
Descriptors: Inquiry, Active Learning, Intelligent Tutoring Systems, Electronic Learning
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Spector, J. Michael; Ifenthaler, Dirk; Sampson, Demetrios G. – Journal of Computing in Higher Education, 2016
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…
Descriptors: Educational Technology, Cognitive Processes, Discovery Learning, Educational Psychology
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Knauf, Rainer; Sakurai, Yoshitaka; Tsuruta, Setsuo; Jantke, Klaus P. – Journal of Educational Computing Research, 2010
University education often suffers from a lack of an explicit and adaptable didactic design. Students complain about the insufficient adaptability to the learners' needs. Learning content and services need to reach their audience according to their different prerequisites, needs, and different learning styles and conditions. A way to overcome such…
Descriptors: Prerequisites, College Instruction, Educational Experiments, Cognitive Style
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Dietze, Stefan; Gugliotta, Alessio; Domingue, John – International Journal of Distance Education Technologies, 2009
Current E-Learning technologies primarily follow a data and metadata-centric paradigm by providing the learner with composite content containing the learning resources and the learning process description, usually based on specific metadata standards such as ADL SCORM or IMS Learning Design. Due to the design-time binding of learning resources,…
Descriptors: Electronic Learning, Learning Processes, Educational Technology, Metadata
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Jovanovic, Jelena; Gasevic, Dragan; Knight, Colin; Richards, Griff – Educational Technology & Society, 2007
This paper presents an ontology-based framework aimed at explicit representation of context-specific metadata derived from the actual usage of learning objects and learning designs. The core part of the proposed framework is a learning object context ontology, that leverages a range of other kinds of learning ontologies (e.g., user modeling…
Descriptors: Educational Technology, Teaching Methods, Instructional Design, Electronic Learning
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Baker, Keith D. – International Journal on E-Learning, 2006
There has been considerable emphasis on the availability and reuse of learning content in recent years. Since 2000, the ADL initiative has refined the recommendations contained in the SCORM documents through progressive stages represented in the SCORM 1.0, 1.1, 1.2 and 1.3 documents. Fundamental to SCORM is the notion of the Shareable Content…
Descriptors: Management Systems, Metadata, Instructional Design, Educational Technology
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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
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Dietze, Stefan; Gugliotta, Alessio; Domingue, John – Journal of Interactive Media in Education, 2007
IMS Learning Design (IMS-LD) is a promising technology aimed at supporting learning processes. IMS-LD packages contain the learning process metadata as well as the learning resources. However, the allocation of resources--whether data or services--within the learning design is done manually at design-time on the basis of the subjective appraisals…
Descriptors: Learning Strategies, Learning Processes, Metadata, Resource Allocation
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Alexander, Bryan – Theory Into Practice, 2008
Students are, increasingly, digital content producers, and participate extensively in evolving online social networks. The emergence of the former represents subtle changes in students' experience of images, audience, copyright, ownership of learning, and technology. Experiencing the latter places students in an awkward position in terms of…
Descriptors: Intellectual Property, Educational Technology, Visual Environment, Social Networks
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Rodriguez-Artacho, Miguel; Verdejo Maillo, M. Felisa – Educational Technology & Society, 2004
This paper presents a reference framework to describe educational material. It introduces the PALO Language as a cognitive based approach to Educational Modeling Languages (EML). In accordance with recent trends for reusability and interoperability in Learning Technologies, EML constitutes an evolution of the current content-centered…
Descriptors: Learning Processes, Standards, Teaching Methods, Instructional Materials
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers