Generative Artificial Intelligence-Based Gamified Programming Teaching System: Promoting Peer Competition and Learning Motivation
In traditional programming education, teachers typically design fixed questions and standard answers, manually grading the solutions submitted by students. This process not only requires significant time and effort from educators but may also fail to provide timely and personalized feedback due to l...
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| Vydáno v: | Engineering proceedings Ročník 98; číslo 1; s. 9 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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MDPI AG
01.06.2025
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| ISSN: | 2673-4591 |
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| Abstract | In traditional programming education, teachers typically design fixed questions and standard answers, manually grading the solutions submitted by students. This process not only requires significant time and effort from educators but may also fail to provide timely and personalized feedback due to limited teaching resources. To alleviate these burdens and enhance teaching efficiency, this study leverages generative artificial intelligence (AI) technology to develop a system capable of automatically generating questions and grading answers. Students engage in programming exercises through a gamified approach, with the system providing instant feedback on their answers. Additionally, student performance is displayed via leaderboards, incorporating peer competition to boost learning motivation. According to a user survey, the gamified system demonstrates significant advantages: 56.67% of students found the system easy to use; 40% considered the system well-integrated; 60% indicated that they quickly mastered the system’s functionality, and over half (53.33%) believed that the leaderboard effectively enhanced their competitive awareness and motivation. These results suggest that the system not only reduces teachers’ workload but also increases student engagement and learning outcomes through gamified design. |
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| AbstractList | In traditional programming education, teachers typically design fixed questions and standard answers, manually grading the solutions submitted by students. This process not only requires significant time and effort from educators but may also fail to provide timely and personalized feedback due to limited teaching resources. To alleviate these burdens and enhance teaching efficiency, this study leverages generative artificial intelligence (AI) technology to develop a system capable of automatically generating questions and grading answers. Students engage in programming exercises through a gamified approach, with the system providing instant feedback on their answers. Additionally, student performance is displayed via leaderboards, incorporating peer competition to boost learning motivation. According to a user survey, the gamified system demonstrates significant advantages: 56.67% of students found the system easy to use; 40% considered the system well-integrated; 60% indicated that they quickly mastered the system’s functionality, and over half (53.33%) believed that the leaderboard effectively enhanced their competitive awareness and motivation. These results suggest that the system not only reduces teachers’ workload but also increases student engagement and learning outcomes through gamified design. |
| Author | You-Jen Chen Ze-Ping Chen Chien-Hung Lai Chen-Wei Peng |
| Author_xml | – sequence: 1 fullname: You-Jen Chen organization: Undergraduate Program in College of Electrical Engineering and Computer Science, Chung Yuan Christian University, Taoyuan 320314, Taiwan – sequence: 2 fullname: Ze-Ping Chen organization: Undergraduate Program in College of Electrical Engineering and Computer Science, Chung Yuan Christian University, Taoyuan 320314, Taiwan – sequence: 3 fullname: Chien-Hung Lai organization: Computer Engineering, Chung Yuan Christian University, Taoyuan 320314, Taiwan – sequence: 4 fullname: Chen-Wei Peng organization: Computer Engineering, Chung Yuan Christian University, Taoyuan 320314, Taiwan |
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| Snippet | In traditional programming education, teachers typically design fixed questions and standard answers, manually grading the solutions submitted by students.... |
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| SubjectTerms | educational technology game-based learning generative AI learning motivation programming education |
| Title | Generative Artificial Intelligence-Based Gamified Programming Teaching System: Promoting Peer Competition and Learning Motivation |
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