Concepedia

Behavioral Feature Extraction

Behavioral Feature Extraction is a computational methodology that identifies and isolates quantifiable patterns of student engagement and interaction from educational data streams, distinguishing itself by focusing specifically on behavioral indicators such as login frequency, assignment submission timing, and resource access patterns to inform dropout prediction models.

177

Publications

8.2K

Citations

604

Authors

229

Institutions

Publications per year

2017–2026

110

Parents

Publications

177

Proceedings of the 7th International Conference on Educational Data Mining.

John Stamper, Pardos Zach, Manolis Mavrikis et al. · Educational Data Mining · 2014 · 668 citations

, , +14

Predicting MOOC Dropout over Weeks Using Machine Learning Methods

Marius Kloft, Felix Stiehler, Zhilin Zheng et al. · 2014 · 314 citations · Full text

, , +17

Mining Educational Data to Predict Student’s academic Performance using Ensemble Methods

Elaf Abu Amrieh, Thair Hamtini, Ibrahim Aljarah · International Journal of Database Theory and Application · 2016 · 313 citations

, , +15

Understanding Dropouts in MOOCs

Wenzheng Feng, Jie Tang, Tracy Xiao Liu · Proceedings of the AAAI Conference on Artificial Intelligence · 2019 · 226 citations · Full text

, , +17

Hire me: Computational Inference of Hirability in Employment Interviews Based on Nonverbal Behavior

Laurent Son Nguyen, Denise Frauendorfer, Marianne Schmid Mast et al. · IEEE Transactions on Multimedia · 2014 · 185 citations · Full text

, , +17

1–5 of 177

Authors

604

  1. CG
    Christopher G. Brinton

    Purdue University West Lafayette, United States

    4 publications · 238 citations

    4

    h-index

  2. MC
    Mung Chiang

    Princeton University, United States

    4 publications · 238 citations

    4

    h-index

  3. HB
    Harold Borko

    University of California, Los Angeles, United States

    3 publications · 150 citations

    3

    h-index

  4. HW
    Han Wan

    Beihang University, China

    3 publications · 44 citations

    3

    h-index

  5. BY
    Baocai Yin

    Beijing University of Technology, China

    2 publications · 97 citations

    2

    h-index

1–5 of 604

Institutions

229

  1. Beihang University

    Beijing, China

    5 h-index

    20 publications

    316 citations

  2. Guilin University of Electronic Technology

    Guilin, China

    5 h-index

    19 publications

    626 citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    4 h-index

    11 publications

    1.8K citations

  4. Princeton University

    Princeton, United States

    3 h-index

    4 publications

    364 citations

  5. University of Illinois Urbana-Champaign

    Urbana, United States

    3 h-index

    7 publications

    288 citations

  6. Beijing University of Technology

    Beijing, China

    3 h-index

    9 publications

    362 citations

  7. Northeastern University

    Shenyang, China

    3 h-index

    10 publications

    292 citations

  8. Tsinghua University

    Beijing, China

    3 h-index

    9 publications

    778 citations

1–8 of 229

Venues

  1. IEEE Access

    8 publications · 380 citations

    8

    h-index

  2. Education and Information Technologies

    6 publications · 147 citations

    6

    h-index

  3. arXiv (Cornell University)

    Repository · 6 publications · 152 citations

    6

    h-index

  4. Educational Data Mining

    Conference · 4 publications · 846 citations

    4

    h-index

  5. 3

    h-index

1–5