The EEG-Based Attention Analysis in Multimedia m-Learning

Comput Math Methods Med. 2020 Jun 10:2020:4837291. doi: 10.1155/2020/4837291. eCollection 2020.

Abstract

In recent years, research on brain-computer interfaces has been increasing in the field of education, and mobile learning has become a very important way of learning. In this study, EEG experiment of a group of iPad-based mobile learners was conducted through algorithm optimization on the TGAM chip. Under the three learning media (text, text + graphic, and video), the researchers analyzed the difference in learners' attention. The study found no significant difference in attention in different media, but learners using text media had the highest attention value. Later, the researchers studied the attention of learners with different learning styles and found that active and reflective learners' attention exhibited significant differences when using video media to learn.

MeSH terms

  • Adult
  • Algorithms
  • Attention*
  • Brain-Computer Interfaces / statistics & numerical data
  • Computational Biology
  • Computer-Assisted Instruction / methods
  • Computer-Assisted Instruction / statistics & numerical data
  • Computers, Handheld*
  • Electroencephalography* / statistics & numerical data
  • Female
  • Humans
  • Learning*
  • Male
  • Multimedia
  • Young Adult