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Feng, Mingyu; Beck, Joseph E.; Heffernan, Neil T. – International Working Group on Educational Data Mining, 2009
A basic question of instructional interventions is how effective it is in promoting student learning. This paper presents a study to determine the relative efficacy of different instructional strategies by applying an educational data mining technique, learning decomposition. We use logistic regression to determine how much learning is caused by…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Sampling, Statistical Inference
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Jeremic, Zoran; Jovanovic, Jelena; Gasevic, Dragan – Educational Technology & Society, 2009
The evaluation of intelligent tutoring systems (ITSs) is an important though often neglected stage of ITS development. There are many evaluation methods available but literature does not provide clear guidelines for the selection of evaluation method(s) to be used in a particular context. This paper describes the evaluation study of DEPTHS, an…
Descriptors: Evaluation Methods, Instructional Effectiveness, Guidelines, Student Attitudes
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Li, Liang-Yi; Chen, Gwo-Dong – Educational Technology & Society, 2009
Students can practice skills and acquire knowledge by doing coursework. However, in conventional coursework activities, each student is assigned the same exercises, without considering learners' diversity. Moreover, students typically have difficulty in receiving assistance for completing their exercises after class. Therefore, some students…
Descriptors: Foreign Countries, Undergraduate Study, Computer Science Education, Intelligent Tutoring Systems
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Reategui, E.; Boff, E.; Campbell, J. A. – Computers & Education, 2008
Traditional hypermedia applications present the same content and provide identical navigational support to all users. Adaptive Hypermedia Systems (AHS) make it possible to construct personalized presentations to each user, according to preferences and needs identified. We present in this paper an alternative approach to educational AHS where a…
Descriptors: Knowledge Representation, Hypermedia, Interaction, Profiles
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Dogan, Buket; Camurcu, A. Yilmaz – Journal of Educational Technology Systems, 2008
Educational data mining is a very novel research area, offering fertile ground for many interesting data mining applications. Educational data mining can extract useful information from educational activities for better understanding and assessment of the student learning process. In this way, it is possible to explore how students learn topics in…
Descriptors: Intelligent Tutoring Systems, Program Effectiveness, Teaching Methods, Computer Uses in Education
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Heift, Trude – Computer Assisted Language Learning, 2008
This article describes challenges and benefits of modeling learner variability in Computer-Assisted Language Learning. We discuss the learner model of "E-Tutor," a learner model that addresses learner variability by focusing on certain aspects and/or features of the learner's interlanguage. Moreover, we introduce the concept of phrase descriptors,…
Descriptors: Computer Assisted Instruction, Systems Approach, Educational Technology, Intelligent Tutoring Systems
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Blake, M. Brian; Butcher-Green, Jerome D. – Computers & Education, 2009
Training individuals from diverse backgrounds and in changing environments requires customized training approaches that align with the individual learning styles and ever-evolving organizational needs. Scaffolding is a well-established instructional approach that facilitates learning by incrementally removing training aids as the learner…
Descriptors: Familiarity, Adult Learning, Simulated Environment, Trainees
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Lin, Huan-Yu; Tseng, Shian-Shyong; Weng, Jui-Feng; Su, Jun-Ming – Educational Technology & Society, 2009
With the development of e-learning technology, many specifications of instructional design have been proposed to make learning activity sharable and reusable. With the specifications and sufficient learning resources, the researches further focus on how to provide learners more appropriate learning activities to improve their learning performance.…
Descriptors: Electronic Learning, Science Instruction, Scaffolding (Teaching Technique), Misconceptions
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Kenny, Claire; Pahl, Claus – Interactive Learning Environments, 2009
Active learning facilitated through interactive and adaptive learning environments differs substantially from traditional instructor-oriented, classroom-based teaching. We present a web-based e-learning environment that integrates knowledge learning and skills training. How these tools are used most effectively is still an open question. We…
Descriptors: Feedback (Response), Active Learning, Educational Technology, Evaluation Methods
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Schulze, Mathias – CALICO Journal, 2008
The application of techniques from artificial intelligence (AI) to CALL has commonly been referred to as intelligent CALL (ICALL). ICALL is only slightly older than the "CALICO Journal", and this paper looks back at a quarter century of published research mainly in North America and by North American scholars. This "inventory…
Descriptors: Research and Development, Computer Assisted Instruction, Artificial Intelligence, North Americans
Hicks, Maryruth Wilks – ProQuest LLC, 2010
The purpose of this study was to examine the effectiveness of universally designed (UD) instruction on strategic learning in an online, interactive learning environment (ILE). The research focused on the premise that the customizable, media-based framework of UD instruction might influence diverse online learning strategies. This study…
Descriptors: Electronic Learning, Experimental Groups, Undergraduate Students, Time Management
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Ikeda, Mitsuru; Mizoguchi, Riichiro – Journal of Artificial Intelligence in Education, 1994
Summarizes research activities concerning FITS, a Framework for Intelligent Tutoring Systems, and discusses the major results obtained thus far. Topics include system architecture; domain independent framework; student model module; expertise module; tutoring strategies; and a model of tutor's decision making, including knowledge sources and…
Descriptors: Artificial Intelligence, Decision Making, Intelligent Tutoring Systems, Models
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Wu, Albert K. W.; Lee, M. C. – Computers in Human Behavior, 1998
Proposes the notion of intelligent tutoring systems (ITS) as design in order to engage ITS development with more rigor. Topics include engineering design versus ITS design; systems approach; design as problem solving; a hierarchy of paradigms; the emergence of an agent-theoretic approach; and the need for an ITS design notation. (Author/LRW)
Descriptors: Design, Intelligent Tutoring Systems, Problem Solving, Systems Approach
Callear, David – Educational Technology, 1999
Discusses course-oriented intelligent tutoring environments and the role of the teacher, and describes the development of WITS (Whole-course Intelligent Tutoring System), an expert system that teaches a course on solid state electronics independently of a human teacher. Includes results of student evaluations of WITS. (LRW)
Descriptors: Course Evaluation, Electronics, Intelligent Tutoring Systems, Teacher Role
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Tokuda, Naoyuki; Chen, Liang – Computer Assisted Language Learning, 2004
As a first step towards implementing a human language teacher, we have developed a new template-based on-line ICALL (intelligent computer assisted language learning) system capable of automatically diagnosing learners' free-format translated inputs and returning error contingent feedback. The system architecture we have adopted allows language…
Descriptors: Sentences, Language Teachers, Feedback, Engines
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