DOI QR코드

DOI QR Code

Cognitive Overload Reduced Online Meeting and Education Platform

  • Seung-Keun Song (Dept. Practical Content Creation, Dongseo University) ;
  • Suk-Ho Lee (Dept. Computer Engineering, Dongseo University)
  • 투고 : 2024.09.23
  • 심사 : 2024.10.03
  • 발행 : 2024.11.30

초록

Recently, with the rapid advancement of high-speed internet and interactive streaming technology, numerous video conferencing platforms such as Zoom, ZED, and Google Meet have been developed.. Furthermore, the COVID-19 pandemic, in particular, served as a catalyst for the global spread of online meetings and online education. This led to a significant reduction in people's resistance to online education and meetings. Nowadays, it has become common for people to use video conferencing platforms like Zoom not only for meetings but also for online education, seminars, and classes. Along with this trend, more specialized online platforms have been released, and research has been conducted on platforms that people can use more comfortably and for longer periods. This study specifically analyzes the current online video conferencing platforms from the perspective of Cognitive Overload and proposes a method to reduce Cognitive Overload. Additionally, a system was developed to address this issue. In other words, this research aims to analyze the limitations of previous online video conferencing and education platforms regarding Cognitive Overload and identity recognition, and to propose an online video conferencing and education platform that can overcome these challenges.

키워드

참고문헌

  1. Zoom: One platform to connect. https://zoom.us
  2. Easy and Fun Metaverse Zep. https://zep.us
  3. Virbela: A Virtual World for Work, Education & Events. https://www.virbela.com
  4. Google Meet - Online Video Calls, Meetings and Conferencing. https://meet.google.com
  5. A. Bashir, S. Bashir, K. Rana, P. Lambert, and A. Vernallis, "Post-COVID-19 adaptations; the shifts towards online learning, hybrid course delivery and the implications for biosciences courses in the higher education setting," Frontiers in Education, Vol. 6, Aug. 2021. DOI:https://doi.org/10.3389/feduc.2021.711619
  6. Y.H. Hu, "Effects of the COVID-19 pandemic on the online learning behaviors of university students in Taiwan," Educ Inf Technol., Vol. 27, pp. 469-491, Jan. 2022. DOI:https://doi.org/10.1007/s10639-021-10677-y
  7. S.G.T. Ong, G.C.L. Quek, "Enhancing teacher-student interactions and student online engagement in an online learning environment," Learning Environ Research, Vol. 26, pp. 681-707, Oct. 2023. DOI:https://doi.org/10.1007/s10984-022-09447-5
  8. S. Garnett, Cognitive load theory: A handbook for teachers, Crown House Publishing, 2020.
  9. V. Likourezos, S. Kalyuga, and J. Sweller, "The variability effect: When instructional variability is advantageous," Educational Psychology Review, Vol. 31, No. 2, pp. 479-497, Jan. 2019. DOI:https://doi.org/10.1007/s10648-019-09462-8
  10. G. Fauville, M. Luo, A.C.M. Queiroz, J.N. Bailenson, and J. Hancock, "Zoom Exhaustion & Fatigue Scale," Computers in Human Behavior Reports, Vol. 4, pp.1-10 , Aug. 2021. DOI:https://doi.org/10.1016/j.chbr.2021.100119.