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Development of an Interactive Game-Based Learning Environment to Teach Data Mining

机译:开发基于互动游戏的学习环境以教授数据挖掘

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Game-based learning has become a popular topic in all levels of education. A number of computer games have been developed to teach different subjects such as mathematics, English language, medicine, and music. This paper presents the first study that proposes the development of edutainment games to teach data mining techniques with the scope of gamebased learning. The aim of this study is to provide an environment that is both fun and enables the achievement of learning goals in data mining training in computer engineering. An escape game called Mine4Escape, which consists of different rooms to teach different data mining techniques (classification and association rule mining), has been developed for individuals at the undergraduate and post-graduate levels. The advantages of the proposed approach are discussed in comparison with traditional data mining training. In addition, this paper describes a dynamic scoring system designed for game-based learning. Finally, an experimental study was carried out to evaluate the performance of our learning environment by analyzing feedback received from a test group consisting of 39 undergraduate and graduate students in computer engineering. The findings from the questionnaire show that it is possible to enhance knowledge acquisition about data mining via the game-based approach. However, the degree of learning interest and information acceptance changes according to students' age, gender, educational level, and game habits.
机译:基于游戏的学习已成为各级教育中的热门话题。已经开发了许多计算机游戏来教授不同的主题,例如数学,英语,医学和音乐。本文提出了第一项研究,该研究提出了娱乐性游戏的发展,以在基于游戏的学习范围内教授数据挖掘技术。这项研究的目的是提供一个既有趣又能实现计算机工程数据挖掘培训中学习目标的环境。已经为本科生和研究生开发了一款名为Mine4Escape的逃生游戏,该游戏由不同的房间组成,以教授不同的数据挖掘技术(分类和关联规则挖掘)。与传统的数据挖掘训练相比,讨论了该方法的优点。此外,本文还介绍了一种专为基于游戏的学习而设计的动态评分系统。最后,通过分析从一个由39个计算机工程专业的本科生和研究生组成的测试组获得的反馈,进行了一项实验研究,以评估我们学习环境的性能。问卷调查的结果表明,可以通过基于游戏的方法来增强有关数据挖掘的知识获取。但是,学习兴趣和接受信息的程度会根据学生的年龄,性别,学历和游戏习惯而变化。

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