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Showing 1 to 15 of 31 results Save | Export
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Ozgun-Koca, S. Asli; Edwards, Thomas – Journal of Computers in Mathematics and Science Teaching, 2011
Manipulatives have been used in many mathematics classrooms across many age groups with the aim of helping students to understand abstract concepts through concrete, kinesthetic, and visual experiences. In this paper, after we provide a background for the use of physical and virtual manipulatives in teaching and learning of mathematics, we will…
Descriptors: Regression (Statistics), Grade 8, Suburban Schools, Learning Modalities
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Liu, Jun; Sha, Sha; Zheng, Qinghua; Zhang, Wei – International Journal of Distance Education Technologies, 2012
Assigning difficulty level indicators to the knowledge units helps the learners plan their learning activities more efficiently. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty levels of knowledge units. Firstly, the authors present the hierarchical structure and properties of the knowledge map.…
Descriptors: Foreign Countries, Knowledge Level, Difficulty Level, Educational Technology
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Najjar, Mehdi – International Journal of Distance Education Technologies, 2008
Despite a growing development of virtual laboratories which use the advantages of multimedia and Internet for distance education, learning by means of such tutorial tools would be more effective if they were specifically tailored to each student needs. The virtual teaching process would be well adapted if an artificial tutor can identify the…
Descriptors: Scaffolding (Teaching Technique), Virtual Classrooms, Prompting, Teaching Methods
Shute, Valerie J. – 1994
For an intelligent tutoring system (ITS) to earn its "I", it must be able to (1) accurately diagnose students' knowledge structures, skills, and/or learning styles using principles, rather than pre-programmed responses, to decide what to do next; and (2) adapt instruction accordingly. While some maintain that remediation actually…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Knowledge Representation, Models
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Tergan, Sigmar-Olaf; Graber, Wolfgang; Neumann, Anja – Innovations in Education and Teaching International, 2006
In resource-based learning scenarios, students are often overwhelmed by the complexity of task-relevant knowledge and information. Techniques for the external interactive representation of individual knowledge in graphical format may help them to cope with complex problem situations. Advanced computer-based concept-mapping tools have the potential…
Descriptors: Computer Assisted Instruction, Spatial Ability, Learning Strategies, Evaluation Methods
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Greenberg, Jan D.; Dickelman, Gary J. – Performance Improvement, 2000
Discusses distributed cognition theory, a viable framework and methodology for examining interactions between individuals and artifacts, and how it relates to performance support. Highlights include knowledge representation; applications in learning and performance support; learning communities; collaborative learning; and computer technology and…
Descriptors: Cognitive Processes, Computer Assisted Instruction, Interaction, Knowledge Representation
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Khan, Tariq M.; Brown, Keith – British Journal of Educational Technology, 2000
Addresses areas of situated knowledge (metacognitive skills and affective skills) that have been ignored in intelligent computer-aided learning systems. Focuses on model-based reasoning, including contextualized and decontextualized knowledge, and examines an instructional method that supports situated knowledge by providing opportunities for…
Descriptors: Affective Behavior, Computer Assisted Instruction, Knowledge Representation, Learning Strategies
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Cheng, Peter C.-H. – Computers & Education, 1999
Summarizes theoretical and empirical aspects of research that is investigating how best to support conceptual learning and the critical role that representations have in complex scientific and mathematical domains. Explains Law Encoding Diagrams (LEDs) and considers how computers may further enhance the potential benefit of LEDs for conceptual…
Descriptors: Computer Assisted Instruction, Concept Formation, Knowledge Representation, Learning Processes
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Govil, Rekha; Saxena, Madhavi – Journal of Computing in Childhood Education, 1997
Describes the architecture of PRABODH, an intelligent tutoring system with six components, designed for teaching language skills to young children and for providing them meaningful practice for developing grammar skills. Discusses PRABODH's language-learning philosophy, results of formative evaluation of its knowledge component, and overall impact…
Descriptors: Computer Assisted Instruction, Grammar, Hindi, Intelligent Tutoring Systems
Paquette, Gilbert; And Others – Educational Technology, 1994
Discusses instructional design and describes the development of a support system for course design called AGD (French acronym for Didactic Engineering Workbench). Highlights include categories of computer tools that support course design, including computer-assisted instruction, instructional design expert systems, and job aids; knowledge modeling…
Descriptors: Behavioral Objectives, Computer Assisted Instruction, Computer Software Development, Expert Systems
Looi, Chee-Kit – Educational Technology, 2000
Examines the phenomenon of learning on the Internet in terms of a digital ecology metaphor, proposing that an ecological perspective is consistent with the perspective of distributed cognition. Topics include diverse participation; information production, access, and consumption; representations of knowledge; and experiences. (LRW)
Descriptors: Access to Information, Computer Assisted Instruction, Experience, Information Utilization
Morgan, Tom – Learning & Leading with Technology, 1996
Discusses the use of technology to enhance student learning based on learning processes. Topics include knowledge chunks, assimilation and repetition, cognitive schema, Bloom's Taxonomy, students manipulating the learning environment, student productivity, and checkpoints for evaluating technology utilization. (LRW)
Descriptors: Computer Assisted Instruction, Educational Environment, Educational Technology, Evaluation Methods
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Ainsworth, Shaaron – Computers & Education, 1999
Discusses multiple representations and multimedia learning environments; describes a functional taxonomy of MERs (multiple external representations); and considers how MERs are used to support cognitive processes in learning and problem solving with computers. (Contains 41 references.) (Author/LRW)
Descriptors: Classification, Cognitive Processes, Computer Assisted Instruction, Educational Environment
Bick, Markus; Pawlowski, Jan M.; Veith, Patrick – 2001
The importance of the Extensible Markup Language (XML) technology family in the field of Computer Assisted Learning (CAL) can not be denied. The Instructional Management Systems Project (IMS), for example, provides a learning resource XML binding specification. Considering this specification and other implementations using XML to represent…
Descriptors: Computer Assisted Instruction, Educational Technology, Foreign Countries, Instructional Design
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Alpert, Sherman R. – Journal of Interactive Learning Research, 2003
Describes a computer-based concept mapping tool that provides rich representational capabilities, including dynamic imagery (video, animated images, sound) and multiple levels of abstraction. The tool can automatically translate a concept map into an alternative representation-an outline-that contains all of the knowledge contained in a…
Descriptors: Acoustics, Animation, Computer Assisted Instruction, Computer Oriented Programs
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