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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
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Ogan, Amy; Aleven, Vincent; Jones, Christopher – International Journal of Artificial Intelligence in Education, 2009
Most successes in intelligent tutoring systems have come in well-defined domains like algebra or physics. We investigate how to support students in acquiring ill-defined skills of intercultural competence using an online environment that employs clips of feature films from a target culture. To test the effectiveness of a set of attention-focusing…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Perspective Taking, Cultural Awareness
Baylor, Amy – Educational Technology, 1999
Examines the educational potential for intelligent agents as cognitive tools. Discusses the role of intelligent agents: managing large amounts of information (information overload), serving as a pedagogical expert, and creating programming environments for the learner. (AEF)
Descriptors: Artificial Intelligence, Cognitive Development, Educational Media, Educational Technology
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Schwarz, Elmar; Brusilovsky, Peter; Weber, Gerhard – Journal of Educational Technology, 2005
New WWW technologies allow for integrating distance education power of WWW with interactivity and intelligence. Integrating on-line presentation of learning materials with the interactivity of problem solving environments and the intelligence of intelligent tutoring systems results in a new quality of learning materials that we call I3-textbooks.…
Descriptors: Distance Education, Problem Solving, Intelligent Tutoring Systems, Multimedia Materials
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Armani, Jacopo – Educational Technology & Society, 2005
So far educational adaptive technologies have proven their effectiveness only in small-scale lab courses, thus they still wait for being released to the large community of educators. Among the reasons, there is the difficult task of designing and authoring an interactive adaptive course, especially for non-technical group of educators. In this…
Descriptors: Educational Strategies, Summative Evaluation, Instructional Design, Electronic Learning
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Lane, H. Chad; VanLehn, Kurt – Computer Science Education, 2005
For beginning programmers, inadequate problem solving and planning skills are among the most salient of their weaknesses. In this paper, we test the efficacy of natural language tutoring to teach and scaffold acquisition of these skills. We describe ProPL (Pro-PELL), a dialogue-based intelligent tutoring system that elicits goal decompositions and…
Descriptors: Control Groups, Intelligent Tutoring Systems, Programming, Natural Language Processing
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Van Rosmalen, Peter; Vogten, Hubert; Van Es, Rene; Passier, Harrie; Poelmans, Patricia; Koper, Rob – Educational Technology & Society, 2006
The objective of this paper is to introduce a standards-based model for adaptive e-learning and to investigate the conditions and tools required by authors to implement this model. Adaptation in the context of e-learning is about creating a learner experience that purposely adjusts to various conditions over a period of time with the intention of…
Descriptors: Educational Technology, Instructional Design, Web Based Instruction, Electronic Learning
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Karampiperis, Pythagoras; Sampson, Demetrios – Educational Technology & Society, 2005
Adaptive learning resources selection and sequencing is recognized as among the most interesting research questions in adaptive educational hypermedia systems (AEHS). In order to adaptively select and sequence learning resources in AEHS, the definition of adaptation rules contained in the Adaptation Model, is required. Although, some efforts have…
Descriptors: Methods, Educational Resources, Models, Individualized Instruction
Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John – International Working Group on Educational Data Mining, 2011
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
Descriptors: Academic Achievement, Logical Thinking, Profiles, Tutoring
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Orey, Michael; And Others – Computers and Education, 1994
Describes the use of a commercial hypermedia package for the development of an intelligent tutoring system (ITS) for the Army's Mobile Subscriber Remote Telephone. Time comparisons with an ITS developed by programmers are discussed; users' evaluations of the two versions are described; and questionnaires used in the study are appended. (Contains…
Descriptors: Artificial Intelligence, Authoring Aids (Programming), Comparative Analysis, Computer Assisted Instruction
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Alfonseca, Enrique; Carro, Rosa M.; Freire, Manuel; Ortigosa, Alvaro; Perez, Diana; Rodriguez, Pilar – Educational Technology & Society, 2005
Adaptation techniques can be applied not only to the multimedia contents or navigational possibilities of a course, but also to the assessment. In order to facilitate the authoring of adaptive free-text assessment and its integration within adaptive web-based courses, Adaptive Hypermedia techniques and Free-text Computer Assisted Assessment are…
Descriptors: Evaluation Methods, Student Evaluation, Instructional Design, Electronic Learning
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Yaratan, Huseyin – Turkish Online Journal of Educational Technology - TOJET, 2003
An ITS (Intelligent Tutoring System) is a teaching-learning medium that uses artificial intelligence (AI) technology for instruction. Roberts and Park (1983) defines AI as the attempt to get computers to perform tasks that if performed by a human-being, intelligence would be required to perform the task. The design of an ITS comprises two distinct…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Testing, Researchers
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Papasalouros, Andreas; Retalis, Symeon; Papaspyrou, Nikolaos – Educational Technology & Society, 2004
The role of conceptual modeling in Educational Adaptive Hypermedia Applications (EAHA) is especially important. A conceptual model of an educational application depicts the instructional solution that is implemented, containing information about concepts that must be ac-quired by learners, tasks in which learners must be involved and resources…
Descriptors: Intelligent Tutoring Systems, Models, Individualized Instruction, Educational Technology
Hijon-Neira, Raquel, Ed. – InTech, 2009
The education industry has obviously been influenced by the Internet revolution. Teaching and learning methods have changed significantly since the coming of the Web and it is very likely they will keep evolving many years to come thanks to it. A good example of this changing reality is the spectacular development of e-Learning. In a more…
Descriptors: Computer Assisted Instruction, Educational Technology, Internet, Feedback (Response)
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Liu, Chao-Lin – Educational Technology & Society, 2005
The author analyzes properties of mutual information between dichotomous concepts and test items. The properties generalize some common intuitions about item comparison, and provide principled foundations for designing item-selection heuristics for student assessment in computer-assisted educational systems. The proposed item-selection strategies…
Descriptors: Test Items, Heuristics, Classification, Item Analysis
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