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What can be learned from university students’ video watching behavior during the COVID-19 pandemics: a case study in a medium-sized Japanese university

10 pagesPublished: September 20, 2022

Abstract

The number of courses offered online by universities has been increasing in the recent years. To assure that students can engage appropriately with those courses, many universities have been implementing a bring-your-own-device (BYOD) policy. Due to the COVID-19 outbreak, most courses in Japanese universities shifted to online education. In the present study, two aspects of student behavior after this shift towards online education were analyzed: the usage of computers versus mobile phones and other devices to watch videos; length of video watched at one time. Results show that students under the BYOD policy used computers to watch educational videos more often than other devices, while students not under this policy used computers and other devices to roughly the same extent. Following previous research, shorter videos were watched in higher proportions than longer videos. Students watching videos using computers tended to watch a higher proportion of videos than those using other devices. Overall, students watched videos more often during the morning and the afternoon (school time), followed by the evening. Thus, there was no clear change of routine, despite those videos being available at any time. Implications were discussed.

Keyphrases: BYOD, COVID-19, Institutional Research, video watching behavior

In: Tokuro Matsuo (editor). Proceedings of 11th International Congress on Advanced Applied Informatics, vol 81, pages 211--220

Links:
BibTeX entry
@inproceedings{IIAIAAI2021-Winter:What_can_be_learned,
  author    = {Igor de Almeida and Akira Harada and Shin'ichi Tochio and Nobuhiro Motoki},
  title     = {What can be learned from university students' video watching behavior during the COVID-19 pandemics: a case study in a medium-sized Japanese university},
  booktitle = {Proceedings of 11th International Congress on Advanced Applied Informatics},
  editor    = {Tokuro Matsuo},
  series    = {EPiC Series in Computing},
  volume    = {81},
  pages     = {211--220},
  year      = {2022},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {https://easychair.org/publications/paper/KPPH},
  doi       = {10.29007/krxb}}
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