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van der Meij, J.; de Jong, T. – Journal of Computer Assisted Learning, 2011
Processing of multiple representations in multimedia learning environments is considered to help learners obtain a more complete overview of the domain and gain deeper knowledge. This is based on the idea that relating and translating different representations leads to reflection beyond the boundaries and details of the separate representations.…
Descriptors: Test Items, Computer Assisted Instruction, Learning Processes, Cues
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
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
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

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

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
Flanagan, Robin C.; Black, John B. – 1997
Computer-based learning environments are proliferating in an effort to make more resources available to more students in more timely and individualized ways without overtaxing diminishing budgets. Many computer-based learning environments are designed to facilitate meaningful interaction, however, interactivity is only one of the factors that…
Descriptors: Comprehension, Computer Assisted Instruction, Computer Uses in Education, Grade 3

Ramberg, Robert – Computers in Human Behavior, 1996
Discussion of explanations and knowledge representation within knowledge-based systems focuses on the development of an expert system for purification of proteins in a Swedish laboratory. Topics include domain conceptualization; a multiple-explanation construction model; a study of laboratory staff that investigated construed explanations; and…
Descriptors: Computer Assisted Instruction, Expert Systems, Foreign Countries, Knowledge Representation
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
Kommers, P. A. M. – 1995
Hypermedia as a learning environment complements traditional instruction as it places the student at a higher level of control. Instead of "wait and see" what the teacher expects the student to learn next, hypermedia stimulates the student to become aware of his/her own cognitive needs and interests. This paper presents a combination of notions…
Descriptors: Cognitive Development, Cognitive Structures, Computer Assisted Instruction, Concept Formation

Biemans, Harm J. A.; Simons, P. Robert-Jan – Instructional Science, 1996
Tests the effectiveness of CONTACT-2, a revision of CONTACT strategy, which uses continuous, computer-assisted activation of learner conceptions in text processing. CONTACT-2 was found to be more effective as a process-oriented instructional strategy. Student subjects in grades five and six with the CONTACT-2 condition constructed better…
Descriptors: Academic Achievement, Cognitive Processes, Computer Assisted Instruction, Educational Strategies
Michael, Joel; Rovick, Allen; Glass, Michael; Zhou, Yujian; Evens, Martha – Interactive Learning Environments, 2003
CIRCSIM-Tutor is a computer tutor designed to carry out a natural language dialogue with a medical student. Its domain is the baroreceptor reflex, the part of the cardiovascular system that is responsible for maintaining a constant blood pressure. CIRCSIM-Tutor's interaction with students is modeled after the tutoring behavior of two experienced…
Descriptors: Natural Language Processing, Medical Students, Computer Mediated Communication, Artificial Intelligence