Detection of careless mistakes during programming learning using a simple electroencephalograph

Katsuyuki Umezawa, Makoto Nakazawa, Manabu Kobayashi, Yutaka Ishii, Michiko Nakano, Shigeichi Hirasawa

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

Abstract

There are several difficulties encountered by learners during learning such as good or bad learning content, the difficulty level of learning content, and the degree of learning proficiency. It is possible to detect these difficulties by measuring the browsing history, editing history, and biological information such as brain waves or eye-tracking information. In this paper, we measure electroencephalograph (EEG) information during programming learning. We focus on the relationship between task response time and EEG, and try to detect careless mistakes due to the lack of attention. The results show that careless mistakes during programming learning can be detected by experiments.

Original languageEnglish
Title of host publication15th International Conference on Computer Science and Education, ICCSE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages72-77
Number of pages6
ISBN (Electronic)9781728172675
DOIs
Publication statusPublished - 2020 Aug
Event15th International Conference on Computer Science and Education, ICCSE 2020 - Virtual, Delft, Netherlands
Duration: 2020 Aug 182020 Aug 20

Publication series

Name15th International Conference on Computer Science and Education, ICCSE 2020

Conference

Conference15th International Conference on Computer Science and Education, ICCSE 2020
CountryNetherlands
CityVirtual, Delft
Period20/8/1820/8/20

Keywords

  • Careless Mistake
  • E-Learning
  • Self-study System
  • Simple EEG

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Human-Computer Interaction
  • Media Technology
  • Developmental and Educational Psychology
  • Education

Fingerprint Dive into the research topics of 'Detection of careless mistakes during programming learning using a simple electroencephalograph'. Together they form a unique fingerprint.

Cite this