Concepedia

Learning Progress Prediction

Learning Progress Prediction is a computational modeling approach in learner modeling that specifically forecasts a student's future mastery states or performance trajectories in cognitive skills over time, based on historical interaction data and cognitive diagnosis outcomes.

117

Publications

6.1K

Citations

387

Authors

165

Institutions

Publications per year

2017–2026

66

Parents

Publications

117

Participation-based student final performance prediction model through interpretable Genetic Programming: Integrating learning analytics, educational data mining and theory

Wanli Xing, Rui Guo, Eva Petakovic et al. · Computers in Human Behavior · 2014 · 290 citations

, , +14

Classification and Prediction Based Data Mining Algorithms to Predict Slow Learners in Education Sector

Parneet Kaur, Manpreet Singh, Gurpreet Singh Josan · Procedia Computer Science · 2015 · 287 citations · Full text

, , +15

Opening up the black box: Teacher competence, instructional quality, and students’ learning progress

Sigrid Blömeke, Armin Jentsch, Natalie Ross et al. · Learning and Instruction · 2022 · 247 citations · Full text

, , +13

Predicting Performance in an Introductory Programming Course by Logging and Analyzing Student Programming Behavior

Christopher Watson, Frederick W. B. Li, Jamie L. Godwin · 2013 · 204 citations · Full text

, , +16

Modeling how students learn to program

Chris Piech, Mehran Sahami, Daphne Koller et al. · 2012 · 200 citations

, , +14

1–5 of 117

Authors

387

  1. RS
    Ryan S. Baker

    Columbia University, United States

    3 publications · 42 citations

    3

    h-index

  2. KG
    Kazumasa Goda

    Kyushu Institute of Information Sciences, Japan

    2 publications · 47 citations

    2

    h-index

  3. MY
    Mao Ye

    North Carolina State University, United States

    2 publications · 64 citations

    2

    h-index

  4. DR
    Didier Roy

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 133 citations

    2

    h-index

  5. DH
    Danial Hooshyar

    Korea University, South Korea

    2 publications · 181 citations

    2

    h-index

1–5 of 387

Institutions

165

  1. Monash University

    Melbourne, Australia

    4 h-index

    8 publications

    547 citations

  2. Korea University

    Seoul, South Korea

    3 h-index

    6 publications

    448 citations

  3. North Carolina State University

    Raleigh, United States

    3 h-index

    16 publications

    414 citations

  4. Durham University

    Durham, United Kingdom

    2 h-index

    6 publications

    1.1K citations

  5. University of Macedonia

    Thessaloniki, Greece

    2 h-index

    5 publications

    132 citations

  6. Florida State University

    Tallahassee, United States

    2 h-index

    2 publications

    40 citations

  7. Kyushu Institute of Information Sciences

    Dazaifu, Japan

    2 h-index

    2 publications

    47 citations

  8. Kansas State University

    Manhattan, United States

    2 h-index

    2 publications

    105 citations

1–8 of 165

Venues

  1. IEEE Access

    6 publications · 220 citations

    6

    h-index

  2. Educational Data Mining

    Conference · 3 publications · 135 citations

    3

    h-index

  3. Journal of Learning Analytics

    3 publications · 65 citations

    3

    h-index

  4. Applied Sciences

    3 publications · 90 citations

    3

    h-index

  5. Future Generation Computer Systems

    FGCS · 2 publications · 133 citations

    2

    h-index

1–5