Conversational Student Modeling

Conversational Student Modeling is a computational framework within dialogue-based tutoring systems that dynamically infers a learner’s knowledge state and cognitive processes through analysis of natural language interactions, distinguishing itself from traditional student modeling by integrating dialogue history, turn-level language understanding, and contextual coherence to generate fine-grained, real-time representations of student learning.

17

Publications

878

Citations

61

Authors

22

Institutions

Publications per year

2017–2026

4

Authors

61

  1. AC
    Arthur C. Graesser

    University of Memphis, United States

    2 publications · 35 citations

    2

    h-index

  2. DŞ
    Dan Ştefănescu

    University of Memphis, United States

    1 publications · 20 citations

    1

    h-index

  3. NB
    Nobal B. Niraula

    University of Memphis, United States

    1 publications · 20 citations

    1

    h-index

  4. MS
    Morris Siu–Yung Jong

    Chinese University of Hong Kong, Hong Kong SAR China

    1 publications · 98 citations

    1

    h-index

  5. BA
    Bradley A. Goodman

    Mitre (United States), United States

    1 publications · 55 citations

    1

    h-index

1–5 of 61

Venues

  1. Computers & Education

    2 publications · 212 citations

    2

    h-index

  2. Cognition and Instruction

    1 publications · 176 citations

    1

    h-index

  3. Educational Data Mining

    Conference · 1 publications · 15 citations

    1

    h-index

  4. User Modeling and User-Adapted Interaction

    1 publications · 55 citations

    1

    h-index

  5. The Florida AI Research Society

    Conference · 1 publications · 10 citations

    1

    h-index

1–5