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{ "pk": 26140, "title": "The impact of biased hypothesis generation on self-directed learning", "subtitle": null, "abstract": "Self-directed learning confers a number of advantages relativeto passive observation, including the ability to test hypothe-ses rather than learn from data generated by the environment.However, it remains unclear to what extent self-directed learn-ing is constrained by basic cognitive processes and how thoselimits are related to the structure of the to-be-learned material.The present study examined how hypothesis generation af-fects the success of self-directed learning of categorical rules.Two experiments manipulated the hypothesis generation pro-cess and assessed its impact on the ability to learn 1D and 2Drules. Performance was strongly influenced by whether thestimulus representation facilitated the generation of hypothe-ses consistent with the target rule. Broadly speaking, the find-ings suggest that the opportunity to actively gather informa-tion is not enough to guarantee successful learning, and thatthe efficacy of self-directed learning closely depends on howhypothesis generation is shaped by the structure of the learn-ing environment.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "self-directed learning" }, { "word": "category learning" }, { "word": "activelearning" }, { "word": "information search" }, { "word": "hypothesis generation" } ], "section": "Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/0bw050s2", "frozenauthors": [ { "first_name": "Doug", "middle_name": "", "last_name": "Markant", "name_suffix": "", "institution": "Max Planck Institute for Human Development", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2016-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26140/galley/15776/download/" } ] }