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Colace, Francesco; De Santo, Massimo; Gaeta, Matteo – Interactive Technology and Smart Education, 2009
Purpose: The development of adaptable and intelligent educational systems is widely considered one of the great challenges in scientific research. Among key elements for building advanced training systems, an important role is played by methodologies chosen for knowledge representation. In this scenario, the introduction of ontology formalism can…
Descriptors: Electronic Learning, Knowledge Representation, Bayesian Statistics, Mathematics
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Haartsen-Geven, Manon; Sandberg, Jacobijn – Interactive Technology and Smart Education, 2007
Purpose: The purpose of the paper is to provide insight in the critical factors involved in creating an optimum in developing technology for educational innovation, for each stakeholder, in any relevant context and at any time. Design/methodology/approach: From literature review, four diagrams were constructed to contain the critical factors…
Descriptors: Constructivism (Learning), Educational Innovation, Models, Self Management
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Tsoi, Mun Fie – Interactive Technology and Smart Education, 2009
Purpose: Research on the nature of blended learning and its features has led to a variety of approaches to the practice of blended learning. The purpose of this paper is to provide an alternative practice model, the TSOI hybrid learning model (HLM) to enhance the blended learning experiences in science education. Design/methodology/approach: The…
Descriptors: Electronic Learning, Feedback (Response), Constructivism (Learning), Web Sites