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    {
      "id": "gurung-et-al-2026-coasting-through-class",
      "title": "Coasting Through Class: Learning Opportunity Loss from Practice Avoidance During Individual Seatwork",
      "authors": [
        "Ashish Gurung",
        "Jordan Gutterman",
        "Danielle R. Thomas",
        "Mingyu Feng",
        "Vincent Aleven",
        "Kenneth R. Koedinger"
      ],
      "year": 2026,
      "venue": "Proceedings of the Thirteenth ACM Conference on Learning @ Scale (L@S 2026)",
      "doi": "10.1145/3774398.3811601",
      "arxivId": "2604.25014",
      "sourceVersion": null,
      "landingUrl": "https://arxiv.org/abs/2604.25014",
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      "accessLabel": "arXiv · open preprint",
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      "license": null
    },
    {
      "id": "wikiskill-2608-27454",
      "title": "WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution",
      "authors": [
        "Liyan Tang",
        "Cyrus Rashtchian",
        "Chun-Sung Ferng",
        "Andrew Tomkins",
        "Da-Cheng Juan",
        "Tu Vu"
      ],
      "year": 2026,
      "venue": "arXiv preprint arXiv:2608.27454v1",
      "doi": null,
      "arxivId": "2608.27454",
      "sourceVersion": null,
      "landingUrl": "https://arxiv.org/abs/2608.27454",
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      "accessLabel": "arXiv · open preprint",
      "category": "Research workflow",
      "license": null
    },
    {
      "id": "gurung-et-al-2025-starting-seatwork-earlier",
      "title": "Starting Seatwork Earlier as a Valid Measure of Student Engagement",
      "authors": [
        "Ashish Gurung",
        "Jionghao Lin",
        "Zhongtian Huang",
        "Conrad Borchers",
        "Ryan S. Baker",
        "Vincent Aleven",
        "Kenneth R. Koedinger"
      ],
      "year": 2025,
      "venue": "Proceedings of the 18th International Conference on Educational Data Mining (EDM 2025), pp. 303–316",
      "doi": "10.5281/zenodo.15870183",
      "arxivId": "2505.13341",
      "sourceVersion": null,
      "landingUrl": "https://arxiv.org/abs/2505.13341",
      "access": "public_full_text",
      "accessLabel": "arXiv · open preprint",
      "category": "PredictOS research",
      "license": null
    },
    {
      "id": "pavlik-eglington-harrell-williams-2021-lkt",
      "title": "Logistic Knowledge Tracing: A Constrained Framework for Learner Modeling",
      "authors": [
        "Philip I. Pavlik Jr.",
        "Luke G. Eglington",
        "Leigh M. Harrell-Williams"
      ],
      "year": 2021,
      "venue": "IEEE Transactions on Learning Technologies, 14(5), pp. 624–639",
      "doi": "10.1109/tlt.2021.3128569",
      "arxivId": "2005.00869",
      "sourceVersion": null,
      "landingUrl": "https://arxiv.org/abs/2005.00869",
      "access": "public_full_text",
      "accessLabel": "arXiv · open preprint",
      "category": "PredictOS research",
      "license": null
    },
    {
      "id": "liu-koedinger-2017-closing-the-loop",
      "title": "Closing the Loop: Automated Data-Driven Cognitive Model Discoveries Lead to Improved Instruction and Learning Gains",
      "authors": [
        "Ran Liu",
        "Kenneth R. Koedinger"
      ],
      "year": 2017,
      "venue": "Journal of Educational Data Mining, 9(1), pp. 25–41",
      "doi": "10.5281/zenodo.3554625",
      "arxivId": null,
      "sourceVersion": null,
      "landingUrl": "https://jedm.educationaldatamining.org/index.php/JEDM/article/view/212",
      "access": "public_full_text",
      "accessLabel": "JEDM · article and PDF",
      "category": "PredictOS research",
      "license": null
    },
    {
      "id": "patel-liu-koedinger-2016-block-vs-interleave",
      "title": "When to Block versus Interleave Practice? Evidence Against Teaching Fraction Addition before Fraction Multiplication",
      "authors": [
        "Rony Patel",
        "Ran Liu",
        "Kenneth R. Koedinger"
      ],
      "year": 2016,
      "venue": "Proceedings of the 38th Annual Conference of the Cognitive Science Society (CogSci 2016), pp. 2069–2074",
      "doi": null,
      "arxivId": null,
      "sourceVersion": null,
      "landingUrl": "https://escholarship.org/uc/item/4h12h31r",
      "access": "public_full_text",
      "accessLabel": "eScholarship · article and PDF",
      "category": "PredictOS research",
      "license": null
    },
    {
      "id": "koedinger-mclaughlin-stamper-2012-automated-student-model-improvement",
      "title": "Automated Student Model Improvement",
      "authors": [
        "Kenneth R. Koedinger",
        "Elizabeth A. McLaughlin",
        "John C. Stamper"
      ],
      "year": 2012,
      "venue": "Proceedings of the 5th International Conference on Educational Data Mining (EDM 2012), pp. 17–24",
      "doi": null,
      "arxivId": null,
      "sourceVersion": null,
      "landingUrl": "https://files.eric.ed.gov/fulltext/ED537201.pdf",
      "access": "public_full_text",
      "accessLabel": "ERIC · open PDF",
      "category": "PredictOS research",
      "license": null
    },
    {
      "id": "koedinger-corbett-perfetti-2012-kli",
      "title": "The Knowledge-Learning-Instruction Framework: Bridging the Science-Practice Chasm to Enhance Robust Student Learning",
      "authors": [
        "Kenneth R. Koedinger",
        "Albert T. Corbett",
        "Charles Perfetti"
      ],
      "year": 2012,
      "venue": "Cognitive Science, 36(5), pp. 757–798",
      "doi": "10.1111/j.1551-6709.2012.01245.x",
      "arxivId": null,
      "sourceVersion": null,
      "landingUrl": "https://files.eric.ed.gov/fulltext/ED535880.pdf",
      "access": "public_full_text",
      "accessLabel": "ERIC · open PDF",
      "category": "PredictOS research",
      "license": null
    },
    {
      "id": "pavlik-cen-koedinger-2009-pfa",
      "title": "Performance Factors Analysis: A New Alternative to Knowledge Tracing",
      "authors": [
        "Philip I. Pavlik Jr.",
        "Hao Cen",
        "Kenneth R. Koedinger"
      ],
      "year": 2009,
      "venue": "Artificial Intelligence in Education (AIED 2009), Frontiers in Artificial Intelligence and Applications, 200, pp. 531–538",
      "doi": null,
      "arxivId": null,
      "sourceVersion": null,
      "landingUrl": "https://files.eric.ed.gov/fulltext/ED506305.pdf",
      "access": "public_full_text",
      "accessLabel": "ERIC · open PDF",
      "category": "PredictOS research",
      "license": null
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