Identifying Student Struggle by Analyzing Facial Movement During Asynchronous Video Lecture Viewing: Towards an Automated Tool to Support Instructors

Adam Linson, Yucheng Xu, Andrea R. English, Robert B. Fisher. Identifying Student Struggle by Analyzing Facial Movement During Asynchronous Video Lecture Viewing: Towards an Automated Tool to Support Instructors. In Maria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova, editors, Artificial Intelligence in Education - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part I. Volume 13355 of Lecture Notes in Computer Science, pages 53-65, Springer, 2022. [doi]

@inproceedings{LinsonXEF22,
  title = {Identifying Student Struggle by Analyzing Facial Movement During Asynchronous Video Lecture Viewing: Towards an Automated Tool to Support Instructors},
  author = {Adam Linson and Yucheng Xu and Andrea R. English and Robert B. Fisher},
  year = {2022},
  doi = {10.1007/978-3-031-11644-5_5},
  url = {https://doi.org/10.1007/978-3-031-11644-5_5},
  researchr = {https://researchr.org/publication/LinsonXEF22},
  cites = {0},
  citedby = {0},
  pages = {53-65},
  booktitle = {Artificial Intelligence in Education - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part I},
  editor = {Maria Mercedes Rodrigo and Noburu Matsuda and Alexandra I. Cristea and Vania Dimitrova},
  volume = {13355},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-11644-5},
}