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Strobel, Johannes; Jonassen, David H.; Ionas, Ioan Gelu – Computers & Education, 2008
Learning in complex and ill-structured knowledge domains requires accommodation of multiple perspectives embedded in authentic activities and the reconciliation of those perspectives with personal beliefs resulting in conceptual change. Cognitive flexibility hypertext systems support that process by enabling learners to explore authentic cases…
Descriptors: Research Methodology, Hypermedia, Information Systems, Statistical Analysis
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Tsiatsos, Thrasyvoulos; Andreas, Konstantinidis; Pomportsis, Andreas – Educational Technology & Society, 2010
In this paper we will focus on a specific category of Collaborative Virtual Environments that aims to support Collaborative Learning. We call these environments Collaborative Educational Virtual Environments. Our aim is to analyze the evaluation process through the study of relevant bibliography and by doing so reveal the existing research gap…
Descriptors: Evaluation Methods, Educational Technology, Virtual Classrooms, Educational Environment
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Padiotis, Ioannis; Mikropoulos, Tassos A. – Educational Technology & Society, 2010
The present research investigates the contribution of an interactive educational virtual environment on milk pasteurization to the learning outcomes of 40 students in a technical secondary school using SOLO taxonomy. After the interaction with the virtual environment the majority of the students moved to higher hierarchical levels of understanding…
Descriptors: Foreign Countries, Science Instruction, Technology Education, Misconceptions
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Duchastel, Philippe C. – Instructional Science, 1990
Discusses the use of expert systems for the development of instructional design and recommends instead the cognitive approach of an instructional design workbench. Distinctions between expert systems and advisory systems are examined, the problem-solving process of instructional design is described, and design requirements for an instructional…
Descriptors: Cognitive Processes, Computer System Design, Design Requirements, Expert Systems
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Aleven, Vincent; McLaren, Bruce M.; Sewall, Jonathan; Koedinger, Kenneth R. – International Journal of Artificial Intelligence in Education, 2009
The Cognitive Tutor Authoring Tools (CTAT) support creation of a novel type of tutors called example-tracing tutors. Unlike other types of ITSs (e.g., model-tracing tutors, constraint-based tutors), example-tracing tutors evaluate student behavior by flexibly comparing it against generalized examples of problem-solving behavior. Example-tracing…
Descriptors: Feedback (Response), Student Behavior, Intelligent Tutoring Systems, Problem Solving
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Kazi, Hameedullah; Haddawy, Peter; Suebnukarn, Siriwan – International Journal of Artificial Intelligence in Education, 2009
In well-defined domains such as Physics, Mathematics, and Chemistry, solutions to a posed problem can objectively be classified as correct or incorrect. In ill-defined domains such as medicine, the classification of solutions to a patient problem as correct or incorrect is much more complex. Typical tutoring systems accept only a small set of…
Descriptors: Foreign Countries, Problem Based Learning, Problem Solving, Correlation
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Wahlstedt, Ari; Pekkola, Samuli; Niemela, Marketta – British Journal of Educational Technology, 2008
In this paper, it is argued that e-learning environments are currently more like "buildings", i.e., learning spaces, rather than "schools", i.e., places for learning. The concepts originated from architecture and urban design, where they are used both to distinguish static spaces from inhabited places, and more importantly, as design objectives.…
Descriptors: Distance Education, Virtual Classrooms, Electronic Learning, Educational Technology
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Blessing, Stephen B.; Gilbert, Stephen B.; Ourada, Stephen; Ritter, Steven – International Journal of Artificial Intelligence in Education, 2009
Intelligent Tutoring Systems (ITSs) that employ a model-tracing methodology have consistently shown their effectiveness. However, what evidently makes these tutors effective, the cognitive model embedded within them, has traditionally been difficult to create, requiring great expertise and time, both of which come at a cost. Furthermore, an…
Descriptors: Intelligent Tutoring Systems, Cognitive Processes, Models, Expertise
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Jovanovic, Jelena; Gasevic, Dragan; Torniai, Carlo; Bateman, Scott; Hatala, Marek – Interactive Learning Environments, 2009
Today's technology-enhanced learning practices cater to students and teachers who use many different learning tools and environments and are used to a paradigm of interaction derived from open, ubiquitous, and socially oriented services. In this context, a crucial issue for education systems in general, and for Intelligent Learning Environments…
Descriptors: Models, Interaction, Educational Technology, Design Requirements
Knezek, Gerald A. – Computing Teacher, 1988
Reviews the historical evolution of computer-assisted instruction (CAI) and discusses recent advances in intelligent systems. Intelligent tutoring systems are described from the system designer's and learner's perspectives, and possible future applications are considered. A list of existing intelligent CAI systems is provided. (14 references) (CLB)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer System Design, Courseware
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Brna, Paul; Cox, R. – Journal of Computer Assisted Learning, 1998
Discussion of learner-centered design focuses on the development of switchEr, a specific learning environment changed to an intelligent learning environment by switching from one external representation (ER) to another. Topics include user-centered design; the role of artificial intelligence; and the development of effective educational computing…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer System Design, Educational Environment
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Stankov, Slavomir; Rosic, Marko; Zitko, Branko; Grubisic, Ani – Computers & Education, 2008
Special classes of asynchronous e-learning systems are the intelligent tutoring systems which represent an advanced learning and teaching environment adaptable to individual student's characteristics. Authoring shells have an environment that enables development of the intelligent tutoring systems. In this paper we present, in entirety, for the…
Descriptors: Elementary Secondary Education, Intelligent Tutoring Systems, Artificial Intelligence, Tutoring
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Curilem, S. Gloria; Barbosa, Andrea R.; de Azevedo, Fernando M. – Computers & Education, 2007
This article proposes a mathematical model of Intelligent Tutoring Systems (ITS), based on observations of the behaviour of these systems. One of the most important problems of pedagogical software is to establish a common language between the knowledge areas involved in their development, basically pedagogical, computing and domain areas. A…
Descriptors: Student Characteristics, Mathematical Models, Intelligent Tutoring Systems, Computer Software
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Schoonenboom, Judith – International Journal of Computer-Supported Collaborative Learning, 2008
This study focuses on how to support students who have to work together in small groups, and who do not know each other, in performing grounding discussion. It compares two different implementations of a script, one using a structured interface, one using a textual instruction, on students' discussion behavior. The experiment involved two…
Descriptors: Comparative Analysis, Instructional Effectiveness, Educational Technology, Computer Uses in Education
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Lund, Andreas; Rasmussen, Ingvill – International Journal of Computer-Supported Collaborative Learning, 2008
Using Vygotsky's notion of double stimulation as an analytical tool, we discuss the complex relationship between tasks, tools, and agency in CSCL environments. Empirically we examine how learners in a Norwegian senior high school class learning English as a foreign language approach and respond to an open-ended and collectively oriented task using…
Descriptors: High Schools, Stimulation, English (Second Language), Second Language Learning
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