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{ "pk": 30808, "title": "Empirical Analyses of Self-Explanation and Transfer in Learning to Program", "subtitle": null, "abstract": "Building upon recent work on production system models of transfer and analysis-based generalization techniques, we present analyses of three studies of learning to program recursion. In Experiment 1, a production system model was used to identify problem solving that involved previously acquired skills or required novel solutions. A mathematical model based on this analysis accounts for inter-problem transfer. Programming performance was also affected by particular examples presented in instruction. Experiment 2 examined these example effects in finer detail. Using a production system analysis, examples were found to affect the initial error rates, but not the learning rates on cognitive skills. Experiment 3 examined relations between the ways in which people explain examples to themselves and subsequent learning. Results suggest that good learners engage in more metacognition, generate more domain-specific elaborations of examples, make connections between examples and abstract text, and focus on the semantics of programs rather than syntax.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Paper Presentations", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/5d30m4kj", "frozenauthors": [ { "first_name": "Peter", "middle_name": "", "last_name": "Pirolli", "name_suffix": "", "institution": "University of California, Berkeley", "department": "" }, { "first_name": "Kate", "middle_name": "", "last_name": "Bielaczyc", "name_suffix": "", "institution": "University of California, Berkeley", "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/30808/galley/20657/download/" } ] }