Article Instance

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{
    "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/"
        }
    ]
}