MEGA World – A Platform of Multiplayer Educational Game for All

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

Abstract

This paper presents MEGA World, a platform that allows teachers to create their own virtual worlds for their course so their students can learn required knowledge and skills as well as be stealth assessed in a non-pressure environment. Students will walk through the learning and assessment activities by wondering and exploring the virtual world via interest driven. In this paper, various quest types will be introduced, and their use cases will be explained with the content from four graduate level and undergraduate level courses in Athabasca University. At the end, users’ experiences and their preliminary perceptions toward the use of MEGA World will be summarized – users spent on average 70 to 81 minutes on the gameplay activities even they were introduced MEGA World and its activities in the last second week of the term/semester; moreover, they had very positive opinions on the use of it to replace the supervised exam.

Original languageEnglish
Title of host publication31st International Conference on Computers in Education, ICCE 2023 - Proceedings
EditorsJu-Ling Shih, Akihiro Kashihara, Weiqin Chen, Weiqin Chen, Hiroaki Ogata, Ryan Baker, Ben Chang, Seb Dianati, Jayakrishnan Madathil, Ahmed Mohamed Fahmy Yousef, Yuqin Yang, Hafed Zarzour
Pages765-773
Number of pages9
ISBN (Electronic)9786269689026
Publication statusPublished - Dec. 2023
Event31st International Conference on Computers in Education, ICCE 2023 - Matsue, Shimane, Japan
Duration: 4 Dec. 20238 Dec. 2023

Publication series

Name31st International Conference on Computers in Education, ICCE 2023 - Proceedings
Volume2

Conference

Conference31st International Conference on Computers in Education, ICCE 2023
Country/TerritoryJapan
CityMatsue, Shimane
Period4/12/238/12/23

Keywords

  • Educational Game
  • Interest-Driven
  • Multiplayer
  • Platform
  • Role-Playing
  • Stealth Assessment

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