Cold-start Learner Modeling

Cold-Start Learner Modeling is a learner modeling approach that addresses the challenge of initializing personalized instructional systems for new learners with little or no prior interaction data by leveraging external knowledge sources, demographic information, or pre-assessments to generate initial learner profiles.

6

Publications

178

Citations

19

Authors

13

Institutions

Publications per year

2017–2026

6

Authors

19

  1. ZD
    Zhengxiao Du

    Tsinghua University, China

    2 publications · 117 citations

    2

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  2. XW
    Xiaowei Wang

    Tsinghua University, China

    2 publications · 117 citations

    2

    h-index

  3. HY
    Hongxia Yang

    Alibaba Group (China), China

    2 publications · 117 citations

    2

    h-index

  4. JZ
    Jingren Zhou

    Alibaba Group (United States), United States

    2 publications · 117 citations

    2

    h-index

  5. JT
    Jie Tang

    Tsinghua University, China

    2 publications · 117 citations

    2

    h-index

1–5 of 19

Venues

  1. Educational Data Mining

    Conference · 1 publications · 16 citations

    1

    h-index

  2. Complexity

    1 publications · 19 citations

    1

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 12 citations

    1

    h-index

  4. 1

    h-index

1–4