Exploring Gameplay and Learning in a Narrative-Centered Digital Game for Elementary Science Education

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Seung Lee;Bradford Mott;Jessica Vandenberg;Hiller A. Spires;James Lester
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引用次数: 0

Abstract

Recent years have seen increased exploration of the transformative potential of digital games for K-12 education. Narrative-centered digital games for learning integrate complex problem solving within compelling interactive stories. By leveraging the inherent structure of narrative and the engaging interactions afforded by commercial game engines, narrative-centered digital games for learning engage students in situated learning activities. This article presents details on the iterative design and development of a narrative-centered digital game for learning that focuses on science education for fifth-grade students. We then explore how student gameplay and learning relate by leveraging interaction log data from over 700 students playing the game. Specifically, we analyze student gameplay achievements using clustering and examine how gameplay and learning outcomes differ among the groups identified. Furthermore, we investigate if gender has an effect on student learning within the groups and what gender differences are found within the groups. The findings show that students who complete more quests and earn better in-game rewards achieve higher learning gains, and while differences exist in game playing characteristics between males and females the learning outcomes are similar.
探索以叙事为中心的小学科学教育数字游戏中的游戏性和学习性
近年来,人们越来越多地探索数字游戏在K-12教育中的变革潜力。以故事为中心的数字学习游戏将复杂的问题解决融入引人入胜的互动故事中。通过利用叙事的内在结构和商业游戏引擎所提供的引人入胜的互动,以叙事为中心的数字学习游戏能够吸引学生参与情境学习活动。本文详细介绍了一款以五年级学生科学教育为重点的以故事为中心的数字学习游戏的迭代设计和开发。然后,我们通过利用700多名学生玩游戏的互动日志数据,探索学生的游戏玩法和学习之间的关系。具体来说,我们使用聚类分析学生的游戏玩法成就,并检查各组间游戏玩法和学习结果的差异。此外,我们还调查了性别是否对小组内学生的学习有影响,以及小组内发现了哪些性别差异。研究结果显示,完成更多任务并获得更好游戏奖励的学生获得了更高的学习收益,尽管男性和女性在游戏玩法特征上存在差异,但学习结果是相似的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Games
IEEE Transactions on Games Engineering-Electrical and Electronic Engineering
CiteScore
4.60
自引率
8.70%
发文量
87
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