Effect of Game Elements on Game-Based Learning for Computer Programming Using Task-Technology Fit

Wei Tsong Wang, Mega Kartika Sari

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

Abstract

Several studies on game-based learning (GBL) examine the impact of using GBL on student achievement. In contrast, this study examines the game elements that differentiate existing GBLs (reward mechanism, visual programming environment, and flexible learning environment). In addition, this study reveals a comparison between two GBLs that apply the same game elements but have different variations. The purpose of this study was to determine whether the variations of the game elements that were applied even though both had applied the same game elements would give different results to the students’ perspective in using GBL. We use Task-Technology Fit (TTF) theory to determine the effect of game elements on GBL suitability. The total participants in this experiment were 252 students majoring in informatics engineering. Statistical results indicate that the effect of the combination of the three variables on TTF is 87.7%. It implies that the combination of the application of game elements has a significant impact on the suitability of a system in helping students learn using GBL.

Original languageEnglish
Title of host publicationInnovative Technologies and Learning - 4th International Conference, ICITL 2021, Proceedings
EditorsYueh-Min Huang, Chin-Feng Lai, Tânia Rocha
PublisherSpringer Science and Business Media Deutschland GmbH
Pages323-332
Number of pages10
ISBN (Print)9783030915391
DOIs
Publication statusPublished - 2021
Event4th International Conference on Innovative Technologies and Learning, ICITL 2021 - Virtual, Online
Duration: 2021 Nov 292021 Dec 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13117 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Innovative Technologies and Learning, ICITL 2021
CityVirtual, Online
Period21-11-2921-12-01

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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