{"pk":30967,"title":"Explanation-based Learning of Correctness: Towards a Model of the Self-Explanation Effect","subtitle":null,"abstract":"Two major techniques in machine learning, explanation-based learning and explanation completion, are both superficially plausible models for ChJ's self-explanation effect, wherein the amount of explanation given to examples while studying them correlates with the amount the subject learns from them. W e attempted to simulate Chi's protocol data with the simpler of the two learning processes, explanation completion, in order to find out how much of the self-explanation effect it could account for. Although explanation completion did not turn out to be a good model of the data, we discovered a new learning technique, called explanation-based learning of correctness, that combines explanation-based learning and explanation completion and does a much better job of explaining the protocol data. The new learning process is based on the assumption that subjects use a certain kind of plausible reasoning.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Paper Presentations -- Group 4: Learning and Memory","is_remote":true,"remote_url":"https://escholarship.org/uc/item/96q3g4wz","frozenauthors":[{"first_name":"Kurt","middle_name":"","last_name":"VanLehn","name_suffix":"","institution":"Carnegie Mellon University","department":""},{"first_name":"William","middle_name":"","last_name":"Ball","name_suffix":"","institution":"Carnegie Mellon University","department":""},{"first_name":"Bernadette","middle_name":"","last_name":"Kowalski","name_suffix":"","institution":"Carnegie Mellon University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1990-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/30967/galley/20816/download/"}]}