Evaluation of Difficulty During Visual Programming Learning Using a Simple Electroencephalograph and Minecraft Educational Edition

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

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

Abstract

There are various difficulties encountered by learners during learning such as good or bad learning content, the difficulty level of the 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 aim to detect the learning state of each learner by measuring brain wave information during learning of visual programming using the Minecraft educational edition. Furthermore, the detected learning status is statistically correlated using the results of a questionnaire conducted after the experiment. The results show that the assessment of task difficulty by learners is more significantly affected by the experience with Minecraft than by the experience with programming.

Original languageEnglish
Title of host publicationTrends and Applications in Information Systems and Technologies
EditorsÁlvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, Ana Maria Ramalho Correia
PublisherSpringer Science and Business Media Deutschland GmbH
Pages31-41
Number of pages11
ISBN (Print)9783030726591
DOIs
Publication statusPublished - 2021
EventWorld Conference on Information Systems and Technologies, WorldCIST 2021 - Terceira Island, Portugal
Duration: 2021 Mar 302021 Apr 2

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1367 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceWorld Conference on Information Systems and Technologies, WorldCIST 2021
Country/TerritoryPortugal
CityTerceira Island
Period21/3/3021/4/2

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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