Effects of Question Types on Engagement and Performance of Programming Learning for Non-computer Science Majors

Nuttaphat Arunoprayoch, Chih Hung Lai, Pham Duc Tho, Jing San Liang, Jie Chi Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This study seeks to investigate the effects of web-based computer programming learning, equipped with Questions and Answers, on students whose majors are not computer science. The proposed system allows five types of questions to be generated: essay, multiple-choice, fill-in-the-blank, true-false, and coding. It is found that spending time to complete given tasks by interacting with questions is a significant predictor. Furthermore, academic performance is significantly correlated with participating in fill-in-the-blank, essay, and coding questions. Findings are also stated that there were no differences between academic performance and engagement regarding gender.

Original languageEnglish
Title of host publicationProceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages306-311
Number of pages6
ISBN (Electronic)9781538674475
DOIs
StatePublished - 2 Jul 2018
Event7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 - Yonago, Japan
Duration: 8 Jul 201813 Jul 2018

Publication series

NameProceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018

Conference

Conference7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018
Country/TerritoryJapan
CityYonago
Period8/07/1813/07/18

Keywords

  • Engagement
  • Non-CS majors
  • Programming learning
  • Question types
  • Questions and answers

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