Using brainwave to measure and explore the correlation between attention and cognitive load

Shu Chen Cheng, Yu Ping Cheng, Yi Lin Chen, Yueh Min Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Currently, as the developments of the measuring techniques of non-invasive brain wave measurement instrument have become increasingly mature, it is widely applied for medical or educational researches. This study combined NueroSky and the cognitive load scale to discuss learning considerations and discover the learning pattern for each student. The experimental data found that most learners are more concentrated in the medium and low loads of learning-oriented tasks or non-learning-oriented tasks during their learning process, and the total task execution time or the attention duration of such kinds of tasks will last longer.

Original languageEnglish
Title of host publicationICCE 2017 - 25th International Conference on Computers in Education
Subtitle of host publicationTechnology and Innovation: Computer-Based Educational Systems for the 21st Century, Workshop Proceedings
EditorsYusuke Hayashi, Thepchai Supnithi, Moffat Mathews, Su Luan Wong, Ahmad Fauzi Mohd Ayub, Antonija Mitrovic, Wenli Chen, Jie-Chi Yang
PublisherAsia-Pacific Society for Computers in Education
Pages258-265
Number of pages8
ISBN (Print)9789869401227
Publication statusPublished - 2017 Jan 1
Event25th International Conference on Computers in Education: Technology and Innovation: Computer-Based Educational Systems for the 21st Century, ICCE 2017 - Christchurch, New Zealand
Duration: 2017 Dec 42017 Dec 8

Publication series

NameICCE 2017 - 25th International Conference on Computers in Education: Technology and Innovation: Computer-Based Educational Systems for the 21st Century, Workshop Proceedings

Other

Other25th International Conference on Computers in Education: Technology and Innovation: Computer-Based Educational Systems for the 21st Century, ICCE 2017
CountryNew Zealand
CityChristchurch
Period17-12-0417-12-08

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Education
  • Computer Science (miscellaneous)

Fingerprint Dive into the research topics of 'Using brainwave to measure and explore the correlation between attention and cognitive load'. Together they form a unique fingerprint.

  • Cite this

    Cheng, S. C., Cheng, Y. P., Chen, Y. L., & Huang, Y. M. (2017). Using brainwave to measure and explore the correlation between attention and cognitive load. In Y. Hayashi, T. Supnithi, M. Mathews, S. L. Wong, A. F. Mohd Ayub, A. Mitrovic, W. Chen, & J-C. Yang (Eds.), ICCE 2017 - 25th International Conference on Computers in Education: Technology and Innovation: Computer-Based Educational Systems for the 21st Century, Workshop Proceedings (pp. 258-265). (ICCE 2017 - 25th International Conference on Computers in Education: Technology and Innovation: Computer-Based Educational Systems for the 21st Century, Workshop Proceedings). Asia-Pacific Society for Computers in Education.