Concepedia

Exercise Difficulty Estimation

Exercise Difficulty Estimation is a computational method within cognitive diagnosis that quantifies the cognitive complexity of an exercise by modeling the probability of correct performance based on latent learner attributes and item characteristics.

6

Publications

231

Citations

29

Authors

11

Institutions

Publications per year

2017–2026

2

Parents

Publications

6

Validation of a mechanism to balance exercise difficulty in robot-assisted upper-extremity rehabilitation after stroke

Lukas Zimmerli, Carmen Krewer, Roger Gassert et al. · Journal of NeuroEngineering and Rehabilitation · 2012 · 84 citations · Full text

, , +16

Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring

Irina Pandarova, Torben Dall Schmidt, Johannes Hartig et al. · International Journal of Artificial Intelligence in Education · 2019 · 51 citations

, , +16

Modeling Exercise Relationships in E-Learning: A Unified Approach.

Haw-Shiuan Chang, Hwai-Jung Hsu, Kuan‐Ta Chen · Educational Data Mining · 2015 · 42 citations

, , +17

Using a hybrid AI approach for exercise difficulty level adaptation

Constantinos Koutsojannis, Grigorios N. Beligiannis, Ioannis Hatzilygeroudis et al. · International Journal of Continuing Engineering Education and Life-Long Learning · 2007 · 29 citations

, , +15

A Machine Learning-Based Initial Difficulty Level Adjustment Method for Balance Exercise on a Trunk Rehabilitation Robot

Hosu Lee, Yunho Choi, Amre Eizad et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2023 · 16 citations · Full text

, , +16

1–5 of 6

Authors

29

  1. IH
    Ioannis Hatzilygeroudis

    University of Patras, Greece

    2 publications · 41 citations

    2

    h-index

  2. KC
    Kuan‐Ta Chen

    Institute of Information Science, Academia Sinica, Taiwan

    1 publications · 42 citations

    1

    h-index

  3. CX
    Chuanlin Xia

    Nanchang Hangkong University, China

    1 publications · 13 citations

    1

    h-index

  4. LT
    Lijuan Tan

    Nanchang Hangkong University, China

    1 publications · 13 citations

    1

    h-index

  5. FY
    Fengyu Yang

    Nanchang Hangkong University, China

    1 publications · 13 citations

    1

    h-index

1–5 of 29

Institutions

11

  1. University of Patras

    Pátrai, Greece

    2 h-index

    8 publications

    164 citations

  2. Universitätsklinik Balgrist

    Zurich, Switzerland

    1 h-index

    1 publications

    84 citations

  3. Technological Educational Institute of Central Greece

    Lamia, Greece

    1 h-index

    1 publications

    29 citations

  4. Academia Sinica

    Taipei, Taiwan

    1 h-index

    3 publications

    126 citations

  5. ETH Zurich

    Zurich, Switzerland

    1 h-index

    3 publications

    252 citations

  6. Nanchang Hangkong University

    Nanchang, China

    1 h-index

    6 publications

    78 citations

  7. Leuphana University of Lüneburg

    Lüneburg, Germany

    1 h-index

    5 publications

    255 citations

  8. Schön Klinik Bad Aibling

    Bad Aibling, Germany

    1 h-index

    2 publications

    168 citations

1–8 of 11

Venues

  1. Journal of Intelligent & Fuzzy Systems

    1 publications · 13 citations

    1

    h-index

  2. Educational Data Mining

    Conference · 1 publications · 42 citations

    1

    h-index

  3. 1

    h-index

  4. Journal of NeuroEngineering and Rehabilitation

    JNER · 1 publications · 84 citations

    1

    h-index

  5. 1

    h-index

1–5