{"pk":30827,"title":"An Intelligent Tutoring System Approach to Teaching People How to Learn","subtitle":null,"abstract":"Sherlock is an intelligent tutoring system designed to teach people to build simplified knowledge representations (graphic maps) to facilitate learning of a text. Previous attempts to automate instruction in graphic mapping have had problems because they attempted to diagnose a learner's misunderstandings by looking at a finished graphic map. Sherlock uses a knowledge-based approach to diagnose a leamer's misunderstandings by looking at the knowledge and processes that lead to a learner's graphic map, rather than the completed map. In Sherlock's model a semantic network is used to represent the knowledge in the text. A production system models the strategy for constructing a gniphic map by initiating spreading activation on the semantic network, and interpreting the resulting activation patterns. In a limited evaluation Sherlock was able to correcdy determine if a construction was appropriate 9 6 % of the time.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Poster Presentations","is_remote":true,"remote_url":"https://escholarship.org/uc/item/1d96g3ts","frozenauthors":[{"first_name":"Richard","middle_name":"G.","last_name":"Feifer","name_suffix":"","institution":"University of California Los Angeles","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1989-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/30827/galley/20676/download/"}]}