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Scandura, Joseph M. – Technology, Instruction, Cognition and Learning, 2017
Adaptive learning has become a dominant theme in settings ranging from academic laboratories to commercial education. Despite tens of millions of dollars invested by governments, universities, the private sector and companies, however, progress has been both costly and limited. No established initiative has attempted to model the processes human…
Descriptors: Intelligent Tutoring Systems, Tutors, Tutorial Programs, Delivery Systems
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Scandura, Joseph M. – Technology, Instruction, Cognition and Learning, 2018
This paper summarizes key stages in development of the Structural Learning Theory (SLT) and explains how and why it is now possible to model human tutors in a highly efficient manner. The paper focuses on evolution of the SLT, a deterministic theory of teaching and learning, on which AuthorIT authoring and TutorIT delivery systems have been built.…
Descriptors: Artificial Intelligence, Models, Tutors, Learning Theories
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Py, Dominique; Després, Christophe; Jacoboni, Pierre – Technology, Instruction, Cognition and Learning, 2015
Although providing open learner models to teachers and learners has proven effective, building accurate learner models remains a very complex task, partly due to the large amount of data that must be analyzed. We propose a method for specifying an open learner model at the conceptual level. This model re-uses constraints or indicators already…
Descriptors: Open Education, Models, Design, Programming Languages
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Hoz, Ron – Technology, Instruction, Cognition and Learning, 2009
The Ideational Knowledge Map is an individual's representation of her or his ideational (propositional, declarative, or conceptual) knowledge, and it includes 4 kinds of graphic components: concepts, concept clusters, multi-component links, and texts. The Map has visual and abstract dimensions, whose local, intermediate and global values are…
Descriptors: Concept Formation, Learning Processes, Concept Mapping, Knowledge Representation