Learning Gain Estimation

Learning Gain Estimation is a computational method in Intelligent Tutoring System Analytics that quantifies the improvement in a learner’s knowledge or skill level by analyzing performance data before and after instruction, distinguished from other assessment approaches by its focus on modeling individualized, longitudinal changes in learning outcomes.

27

Publications

1K

Citations

75

Authors

40

Institutions

Publications per year

2017–2026

8

Authors

75

  1. RC
    Ronghu Chi

    Qingdao University of Science and Technology, China

    2 publications · 69 citations

    2

    h-index

  2. FM
    Frederic M. Lord

    Educational Testing Service, United States

    2 publications · 271 citations

    2

    h-index

  3. ZH
    Zhongsheng Hou

    Beijing Jiaotong University, China

    2 publications · 69 citations

    2

    h-index

  4. SJ
    Shangtai Jin

    Beijing Jiaotong University, China

    2 publications · 69 citations

    2

    h-index

  5. JB
    Jack Barbera

    Portland State University, United States

    1 publications · 40 citations

    1

    h-index

1–5 of 75

Venues

  1. ETS Research Bulletin Series

    1 publications · 24 citations

    1

    h-index

  2. Research in Higher Education

    1 publications · 18 citations

    1

    h-index

  3. Journal of University Teaching and Learning Practice

    JUTLP · 1 publications · 11 citations

    1

    h-index

  4. Business Communication Quarterly

    BCQ · 1 publications · 14 citations

    1

    h-index

  5. 1

    h-index

1–5