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Scandura, Joseph M.; Novak, Elena – Technology, Instruction, Cognition and Learning, 2017
AuthorIT and TutorIT represent a fundamentally different approach to building and delivering adaptive learning systems. Intelligent Tutoring Systems (ITS) guide students as they solve problems. BIG DATA systems make pedagogical decisions based on average student performance. Decision making in AuthorIT and TutorIT is designed to model the human…
Descriptors: Intelligent Tutoring Systems, Decision Making, Knowledge Representation, Learning Theories
Du Boulay, Benedict – Technology, Instruction, Cognition and Learning, 2011
This paper describes educational systems built by members of the Human-Centred Technology Research Group at the University of Sussex that address different aspects of motivation. These systems have been described elsewhere, so this paper is essentially a drawing together of existing work. In particular, we have recently set out a view of…
Descriptors: Intelligent Tutoring Systems, Motivation, Metacognition, Instructional Design
Paquette, Gilbert – Technology, Instruction, Cognition and Learning, 2010
This article analyses educational modelling with the IMS-LD specification from the perspective of knowledge-based learning environments. An extension of the MOT visual language covers a wider variety of rule formats to provide control of the flow of activities in a multi-actor process-based scenario. The visual scenarios are executed by an…
Descriptors: Instructional Design, Standards, Visual Aids, Electronic Learning
Ifenthaler, Dirk – Educational Technology Research and Development, 2010
The demand for good instructional environments presupposes valid and reliable analytical instruments for educational research. This paper introduces the "SMD Technology" (Surface, Matching, Deep Structure), which measures relational, structural, and semantic levels of graphical representations and concept maps. The reliability and validity of the…
Descriptors: Concept Mapping, Educational Research, Semantics, Validity
Passerini, Katia – Journal of Educational Multimedia and Hypermedia, 2007
Understanding the impact of different technological media on the achievement of instructional goals enables the delivery of a subject matter more effectively. Among the various instructional technologies that advance learning, educators and practitioners recurrently identify interactive multimedia as a very powerful tool for instruction and…
Descriptors: Knowledge Representation, Quasiexperimental Design, Educational Technology, Instructional Design

Holland, V. Melissa; Kaplan, Jonathan D. – Instructional Science, 1995
Describes the role of natural language processing (NLP) techniques, such as parsing and semantic analysis, within current language tutoring systems. Examines trends, design issues and tradeoffs, and potential contributions of NLP techniques with respect to instructional theory and educational practice. Addresses limitations and problems in using…
Descriptors: Computer Assisted Instruction, Instructional Design, Intelligent Tutoring Systems, Knowledge Representation
Mouza, Chrystalla; Kaplan, Danielle; Espinet, Ivana – 2000
This paper presents a hybrid course framework at the Teachers College at Columbia University (New York) that seamlessly integrates a traditional course plan designed for on-campus students with an online course plan designed for distance learning students. Based on innovative teaching and learning principles, the course encourages active…
Descriptors: Cooperative Learning, Distance Education, Educational Technology, Higher Education