%0 Conference Proceedings %T Resource-adaptive Selection of Strategies in Learning from Worked-Out Examples %+ Collaborative Research Center 378 %A Gerjets, Peter %A Scheiter, Katharina %A Tack, Werner H. %< avec comité de lecture %( Proceedings of the CogSci2000, the Twenty Second Annual Meeting of the Cognitive Science Society. The meeting will be held in Philadelphia, Pennsylvania, USA, August 13-15, 2000. %B Twenty Second Annual Meeting of the Cognitive Science Society (CogSci2000) %C Philadelphia, United States %Y L. R. Gleitman & A. K. Joshi %I Mahwah, NJ: Erlbaum %P 161-171 %8 2000 %D 2000 %Z Computer Science [cs]/Technology for Human LearningConference papers %X 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. %G English %2 https://telearn.hal.science/hal-00190438/document %2 https://telearn.hal.science/hal-00190438/file/Gerjets-peter-2000.pdf %L hal-00190438 %U https://telearn.hal.science/hal-00190438 %~ TELEARN %~ TICE %~ TEL