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{
    "pk": 27888,
    "title": "For Teaching Perceptual Fluency, Mahines Beat Human Experts",
    "subtitle": null,
    "abstract": "In STEM domains, students are expected to acquire domainknowledge from visual representations that they may not yetbe able to interpret. Such learning requires perceptual flu-ency, or the ability to intuitively and rapidly see the underlyingconcepts in visuals and to translate between them. Perceptualfluency is acquired via nonverbal, implicit learning processes.Thus far, we have lacked a principled approach for identify-ing a sequence of perceptual fluency problems that promoterobust learning. Here, we describe how a novel machine learn-ing technique can generate an optimal sequence of perceptualfluency problems. In a human experiment, we show that amachine-generated sequence outperforms both a random se-quence and a sequence generated by a human domain expert.Interestingly, the machine-generated sequence resulted in sig-nificantly lower accuracy during training, but higher posttestaccuracy. This suggests that the machine-generated sequenceinduced desirable difficulties. To our knowledge, our study isthe first to show that machine learning can yield desirable dif-ficulties for perceptual learning",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "visuals"
        },
        {
            "word": "perceptual fluency"
        },
        {
            "word": "implicit learning"
        },
        {
            "word": "desirable difficulties"
        },
        {
            "word": "machine learning"
        },
        {
            "word": "machine teaching"
        },
        {
            "word": "chemistry optimal training"
        },
        {
            "word": "sequence effects"
        }
    ],
    "section": "Publication-based-Talks",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/6p2256bg",
    "frozenauthors": [
        {
            "first_name": "Ayon",
            "middle_name": "",
            "last_name": "Sen",
            "name_suffix": "",
            "institution": "University of Wisconsin-Madison",
            "department": ""
        },
        {
            "first_name": "Purav",
            "middle_name": "",
            "last_name": "Patel",
            "name_suffix": "",
            "institution": "University of Wisconsin-Madison",
            "department": ""
        },
        {
            "first_name": "Martina",
            "middle_name": "A",
            "last_name": "Rau",
            "name_suffix": "",
            "institution": "University of Wisconsin-Madison",
            "department": ""
        },
        {
            "first_name": "Blake",
            "middle_name": "",
            "last_name": "Mason",
            "name_suffix": "",
            "institution": "University of Wisconsin-Madison",
            "department": ""
        },
        {
            "first_name": "Robert",
            "middle_name": "",
            "last_name": "Nowak",
            "name_suffix": "",
            "institution": "University of Wisconsin-Madison",
            "department": ""
        },
        {
            "first_name": "Timothy",
            "middle_name": "T",
            "last_name": "Rogers",
            "name_suffix": "",
            "institution": "University of Wisconsin-Madison",
            "department": ""
        },
        {
            "first_name": "Xiaojin",
            "middle_name": "",
            "last_name": "Zhu",
            "name_suffix": "",
            "institution": "University of Wisconsin-Madison",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2018-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27888/galley/17526/download/"
        }
    ]
}