Model-based Tutoring

Model-Based Tutoring is an instructional approach within expert modeling that employs a computational representation of domain knowledge, learner cognition, and pedagogical strategies to dynamically generate personalized feedback and guidance by simulating ideal problem-solving processes.

84

Publications

3.7K

Citations

220

Authors

90

Institutions

Publications per year

2017–2026

20

Authors

220

  1. KR
    Kenneth R. Koedinger

    Carnegie Mellon University, United States

    6 publications · 566 citations

    6

    h-index

  2. KV
    Kurt VanLehn

    University of Pittsburgh, United States

    4 publications · 208 citations

    4

    h-index

  3. YP
    Yan Ping Xin

    Purdue University West Lafayette, United States

    3 publications · 122 citations

    3

    h-index

  4. JW
    Jon Wetzel

    Arizona State University, United States

    3 publications · 93 citations

    3

    h-index

  5. SB
    Stephen B. Blessing

    University of Tampa, United States

    3 publications · 156 citations

    3

    h-index

1–5 of 220

Venues

  1. 9

    h-index

  2. The Florida AI Research Society

    Conference · 3 publications · 35 citations

    3

    h-index

  3. Computers & Education

    3 publications · 95 citations

    3

    h-index

  4. Neural Computing and Applications

    2 publications · 50 citations

    2

    h-index

  5. The Journal of Mathematical Behavior

    JMB · 2 publications · 61 citations

    2

    h-index

1–5