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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 Cognitive modeling Plunkett, Kim (Mitarb.); VanLehn, Kurt (Mitarb.); Prince, Alan (Mitarb.). - Cambridge, Mass [u.a.] : MIT Press, 2002 BLLDB UB Frankfurt Linguistik Show details 2 Mind modelling : a cognitive science approach to reasoning, learning and discovery Cardoso, Amílcar (Mitarb.); Alpay, Laurence (Mitarb.); Schlieder, Christoph (Mitarb.). - Lengerich [u.a.] : Pabst, 1998 BLLDB UB Frankfurt Linguistik Show details 3 Collected Papers of the Soar/IFOR Project. Spring 1994 Johnson, W. L.; Jones, Randolph M.; Keirsey, David... In: DTIC AND NTIS (1994) BASE Show details 4 Acquisition of children's addition strategies: A model of impasse-free, knowledge-level learning Jones, Randolph M.; Vanlehn, Kurt. - : Kluwer Academic Publishers; Springer Science+Business Media, 1994 BASE Show details 5 A Model of the Self-Explanation Effect VanLehn, Kirt; Jones, Randolph M.; Chi, Michelene T. In: DTIC AND NTIS (1991) Abstract: Several investigation have taken protocols of students learning sophisticated skills, such as physics problem solving and Lisp coding, by studying examples and solving problems. These investigations uncovered the self- explanation effect: students who explain examples to themselves learn better, make more accurate self-assessments of their understanding and use analogies more economically while solving problems. This paper describes a computer model, named Cascade, that accounts for these findings. Explaining an example causes Cascade to acquire both domain knowledge and derivational knowledge. Derivational knowledge is used analogically to control search during problem solving. Domain knowledge is acquired when the current domain knowledge is incomplete and causes an impasse. If the impasse can be resolved by applying an overly general rule, then a specialization of the rule becomes a new domain rule. Keyword: *COMPUTERIZED SIMULATION; CODING; CONTROL; LEARNING; Linguistics; PHYSICS; PROBLEM SOLVING; SEARCHING; STUDENTS URL: http://www.dtic.mil/docs/citations/ADA241200 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA241200 BASE Hide details

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