Applying game-based learning to a primary school class in computer science terminology learning

Author:

Kaldarova Bolganay,Omarov Bakhytzhan,Zhaidakbayeva Lyazzat,Tursynbayev Abay,Beissenova Gulbakhram,Kurmanbayev Bolat,Anarbayev Almas

Abstract

IntroductionGame-based learning is an innovative technique that utilizes the educational potential of videogames in general, and serious games in particular, to enhance training processes and make it simpler for users to attain motivated learning.MethodsIn this study, we propose game based learning for primary school students in computer science terminology learning. Primary school students often engage in game-based learning. Academic accomplishment motivation consequences have been researched extensively. The purpose of this research was to see how successful Game-Based Learnings are in motivating primary school kids to attain academic success. Fifty primary school students in two focus groups participated in the experiment during 10 weeks to test the involvement of game based learning to pupils.ResultsThere are two kind of measurements were applied in identifying benefits of game based learning. First, one is the questionnaire that students answered to questions in three categories as Impression, Usability, and User Interface. Second part of measurement is downloading and uploading of hometasks, and their academic performance. Approximately 90% of the students found the game based learning to be beneficial in their studies and remembering computer science terminologies. The children were satisfied with its functionality and ease of use.DiscussionThe results can be useful for educators, instructional and game designers, and researchers from implementation, design and research perspectives.

Publisher

Frontiers Media SA

Subject

Education

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3