How attention level and cognitive style affect learning in a MOOC environment? Based on the perspective of brainwave analysis

Jung Jung Chang, Wen Shen Lin, Hong Ren Chen

研究成果: Article

2 引文 (Scopus)

摘要

The massive open online courses (MOOCs) enable learners to learn over distances. These courses also attract attentions in higher education. However, classroom virtualization generates problems, creates distraction for students. MOOCs have provided an individualized learning opportunity in the sense that the cognitive style affects learning. This study aims at exploring the differences of students’ attention levels and learning effectiveness perceived affected by different cognitive styles within a MOOC learning environment. Brainwave detection equipment was used to carry out a teaching experiment among junior university students who were enrolled in a course about the Internet of Things. Results revealed that: (1) learners who have independent verbal, independent imagery, and dependent imagery types of cognitive styles, learning effectiveness are significantly better in the MOOC learning environment compared to traditional PowerPoint-based teaching; (2) in the MOOC learning environment, learners who have dependent verbal type of cognitive style would have significantly better attentional levels than those who have the dependent imagery type of cognitive style; (3) attention levels among learners who have the independent verbal type of cognitive style were highly positively correlated with learning effectiveness. It also implies that learners who have the independent verbal type of cognitive style benefit greatly to learn in the MOOC environment. For those learners who have the dependent verbal type of cognitive style are the last to benefit to learn in the MOOC teaching environment.

原文English
頁(從 - 到)209-217
頁數9
期刊Computers in Human Behavior
100
DOIs
出版狀態Published - 2019 十一月

指紋

Brain Waves
Teaching
Learning
Students
Imagery (Psychotherapy)
Education
Cognitive Style
Online Courses
Experiments
Internet
Equipment and Supplies

All Science Journal Classification (ASJC) codes

  • Arts and Humanities (miscellaneous)
  • Human-Computer Interaction
  • Psychology(all)

引用此文

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