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Conference papers
Resource-adaptive Selection of Strategies in Learning from Worked-Out Examples
Abstract : Most tasks can be pursued by using different strategies (Logan, 1985; Reder & Schunn, 1998). In this paper we focus on strategies of learning from worked-out examples. Within a resourceoriented framework these different strategies can be classified according to their costs and benefits. These features may determine which strategy will be selected for accomplishing a task in situations with certain resource limitations. We investigate specific hypotheses about strategic adaptations to resource limitations (e.g., time pressure or lack of prior knowledge) within a hypertext-based learning environment. A comparison of the strategy selection of good and poor learners is used to assess the degree of subjects' resource adaptivity. Ideas for modeling resource- adaptive selection of strategies within the ACT-R architecture are discussed.
Cited literature [13 references]
https://telearn.archives-ouvertes.fr/hal-00190438
Contributor : Jerome Zeiliger <>
Submitted on : Friday, November 23, 2007 - 8:46:37 AM
Last modification on : Tuesday, September 17, 2019 - 10:38:09 AM
Document(s) archivé(s) le : Monday, April 12, 2010 - 4:09:54 AM
Contributor : Jerome Zeiliger <>
Submitted on : Friday, November 23, 2007 - 8:46:37 AM
Last modification on : Tuesday, September 17, 2019 - 10:38:09 AM
Document(s) archivé(s) le : Monday, April 12, 2010 - 4:09:54 AM
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Gerjets-peter-2000.pdf
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