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White, Barbara Y.; Frederiksen, John R. – 1986
This report discusses the importance of presenting qualitative, causally consistent models in the initial stages of learning so that students can gain an understanding of basic electrical circuit concepts and principles that builds on their preexisting ways of reasoning about physical phenomena, and it argues that tutoring environments must help…
Descriptors: Artificial Intelligence, Cognitive Processes, Electric Circuits, Experiential Learning
Hubal, Robert C.; Helms, Robert F.; Triplett, Suzanne E. – 1997
Leading-edge technologies, integrated with emerging educational methodologies, make the Advanced Learning Environment (ALE) model cost effective and efficient for learning. The ALE integrates virtual reality and other enabling technologies such as natural language processing, animation, video, courseware, sound, projection, CD-ROM, and distance…
Descriptors: Adult Education, Computer Simulation, Experiential Learning, Learning Strategies
Putnam, Linda L. – 1983
Laboratory simulations combine the strengths of lab experiments and field studies while avoiding many of their liabilities. They permit the emotional involvement, the time needed for development of norms and interlocked systems of interaction, and the broad range of variables typical of field settings, yet allow for experimental controls and…
Descriptors: Behavioral Science Research, Case Studies, Communication (Thought Transfer), Field Studies
Dede, Christopher – Educational Communication and Technology Journal, 1987
Discusses the use of artificial intelligence to improve occupational instruction in complex subjects with high performance goals, such as those required for high-technology jobs. Highlights include intelligent computer assisted instruction, examples in space technology training, intelligent simulation environments, and the need for adult training…
Descriptors: Adult Learning, Aerospace Education, Artificial Intelligence, Behavioral Objectives