Corpus ID: 58028796

Detecting Behavioral Engagement of Students in the Wild Based on Contextual and Visual Data

@article{Okur2019DetectingBE,
  title={Detecting Behavioral Engagement of Students in the Wild Based on Contextual and Visual Data},
  author={Eda Okur and Nese Aly{\"u}z and Sinem Aslan and Utku Genc and Cagri Tanriover and Asli Arslan Esme},
  journal={ArXiv},
  year={2019},
  volume={abs/1901.06291}
}
  • Eda Okur, Nese Alyüz, +3 authors Asli Arslan Esme
  • Published 2019
  • Computer Science, Mathematics
  • ArXiv
  • To investigate the detection of students' behavioral engagement (On-Task vs. Off-Task), we propose a two-phase approach in this study. In Phase 1, contextual logs (URLs) are utilized to assess active usage of the content platform. If there is active use, the appearance information is utilized in Phase 2 to infer behavioral engagement. Incorporating the contextual information improved the overall F1-scores from 0.77 to 0.82. Our cross-classroom and cross-platform experiments showed the proposed… CONTINUE READING