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Paquette, Luc; Baker, Ryan S. – Interactive Learning Environments, 2019
Learning analytics research has used both knowledge engineering and machine learning methods to model student behaviors within the context of digital learning environments. In this paper, we compare these two approaches, as well as a hybrid approach combining the two types of methods. We illustrate the strengths of each approach in the context of…
Descriptors: Comparative Analysis, Student Behavior, Models, Case Studies
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Yanchinda, Jirawit; Chakpitak, Nopasit; Yodmongkol, Pitipong – International Education Studies, 2015
Knowledge of the appropriate technologies for sustainable development projects has encouraged grass roots development, which has in turn promoted sustainable and successful community development, which a requirement is to share and reuse this knowledge effectively. This research aims to propose a tutorial ontology effectiveness modeling on organic…
Descriptors: Foreign Countries, Case Studies, Tutorial Programs, Sustainable Development
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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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Troseth, Georgene L.; Pickard, Megan E. Bloom; Deloache, Judy S. – Developmental Science, 2007
Using a symbolic object such as a model as a source of information about something else requires some appreciation of the relation between the symbol and what it represents. Representational insight has been proposed as essential to success in a symbolic retrieval task in which children must use information from a hiding event in a scale model to…
Descriptors: Toddlers, Models, Knowledge Representation, Schematic Studies
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Garbarini, Francesca; Adenzato, Mauro – Brain and Cognition, 2004
Recent experimental research in the field of neurophysiology has led to the discovery of two classes of visuomotor neurons: canonical neurons and mirror neurons. In light of these studies, we propose here an overview of two classical themes in the cognitive science panorama: James Gibson's theory of affordances and Eleanor Rosch's principles of…
Descriptors: Cognitive Processes, Classification, Spatial Ability, Neurology
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Knight, Colin, Gasevic, Dragan; Richards, Griff – Educational Technology & Society, 2006
The paper describes an ontology-based framework for bridging learning design and learning object content. In present solutions, researchers have proposed conceptual models and developed tools for both of those subjects, but without detailed discussions of how they can be used together. In this paper we advocate the use of ontologies to explicitly…
Descriptors: Case Studies, Learning Strategies, Computer Software, Programming