Conversational Knowledge Tracing

Conversational Knowledge Tracing is a computational modeling framework that extends traditional knowledge tracing by dynamically assessing student understanding through analysis of natural language interactions within dialogue-based tutoring systems.

9

Publications

282

Citations

36

Authors

16

Institutions

Publications per year

2017–2026

6

Authors

36

  1. HM
    Huifang Ma

    Northwest Normal University, China

    1 publications · 26 citations

    1

    h-index

  2. LH
    Liang He

    University of Washington, United States

    1 publications · 39 citations

    1

    h-index

  3. SK
    Sanjay Kairam

    Stanford University, United States

    1 publications · 29 citations

    1

    h-index

  4. DH
    Danial Hooshyar

    Korea University, South Korea

    1 publications · 32 citations

    1

    h-index

  5. FA
    Fangzhe Ai

    Beijing Jiaotong University, China

    1 publications · 46 citations

    1

    h-index

1–5 of 36

Venues

  1. Expert Systems with Applications

    4 publications · 111 citations

    3

    h-index

  2. Education and Information Technologies

    1 publications · 28 citations

    1

    h-index

  3. Journal of Second Language Writing

    JSLW · 1 publications · 41 citations

    1

    h-index

  4. Educational Data Mining

    Conference · 1 publications · 46 citations

    1

    h-index

  5. User Modeling and User-Adapted Interaction

    1 publications · 29 citations

    1

    h-index

1–5