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Causal Model Progressions as a Foundation for Intelligent Learning Environments (1990)  (Make Corrections)  (19 citations)
Barbara White, John Frederiksen
Artificial Intelligence



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Abstract: One of the original motivations for research in qualitative physics was the development of intelligent tutoring systems and learning environments for physical domains and complex systems. This article demonstrates how a synergistic combination of qualitative reasoning and other AI techniques can be used to create an intelligent learning environment for students learning to analyze and design thermodynamic cycles. Pedagogically this problem is important because thermodynamic cycles express the... (Update)

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BibTeX entry:   (Update)

White, B. Y., and Frederiksen, J. R. (1990). Causal model progressions as a foundation for intelligent learning environments. Artificial Intelligence, 42, 99-157. http://citeseer.ist.psu.edu/white90causal.html   More

@article{ white90causal,
    author = "Barbara White and John Frederiksen",
    title = "Causal Model Progressions as a Foundation for Intelligent Learning Environments",
    journal = "Artificial Intelligence",
    volume = "42",
    number = "1",
    pages = "99-157",
    year = "1990",
    url = "citeseer.ist.psu.edu/white90causal.html" }
Citations (may not include all citations):
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73   Cognitive tutors: Lessons learned (context) - Anderson, Corbett et al. - 1995
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46   Self-explanatory simulations: An integration of qualitative .. (context) - Forbus, Falkenhainer - 1990
31   An outlook on truth maintenance (context) - McAllester - 1980
26   Automated modeling of physical systems (context) - Nayak - 1992
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22   Pointing: A way toward explanation dialogue (context) - Moore, Swartout - 1990
22   Setting up large-scale qualitative models (context) - Falkenhainer, Forbus - 1988
20   Incremental structure mapping (context) - Forbus, Ferguson et al. - 1994
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