边缘人工智能驱动的工程教育游戏化提高学生参与度

IF 2.2 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Kiran Deep Singh, Prabh Deep Singh
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引用次数: 0

摘要

提高学生对工程教育的参与度对于取得更好的学习成果至关重要。工程教育将最新技术与游戏化相结合,促进学生参与创新学习。游戏化包括融入游戏设计元素,使学习更具互动性和激励性。本文探讨了游戏化改造工程教育,提高学生的参与,理解和整体学习成果。边缘计算与人工智能的结合将通过解决实时交互和个性化服务这两个主要挑战来增强教育的游戏化。提出了一个边缘人工智能驱动的游戏化框架,通过教育游戏、测验和竞争性学习环境等互动工具提高学生的参与度。为了提高整体性能,提出了一种与Edge-AI游戏化优化器相关的算法。结果表明,该框架使学生的参与度提高了近51%,成绩提高了30.7%,认知负荷降低了57%。一项与传统学习方法的比较研究表明,基于人工智能的游戏化显著提高了知识留存,促进了协作学习,提高了学生的积极性,并且通过统计分析,证明了与传统方法相比,学生参与度的有效提高。未来的研究将探讨该框架在不同工程领域和学习环境中的可扩展性。所提出的框架有可能通过提供个性化、互动性和激励性的学习体验来改变教育实践,从而产生更好的教育成果。未来的研究可以探索边缘人工智能驱动的游戏化的更广泛的应用和长期影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Edge-AI Driven Gamification in Engineering Education for Improving Student Engagement

Improving student engagement in engineering education is crucial for better learning outcomes. Engineering education integrates the latest technologies with gamification that fosters student engagement in innovative learning. Gamification involves incorporating game design elements, making learning more interactive and motivating. This paper explores gamification to transform engineering education, improving students' participation, understanding, and overall learning outcomes. Combining Edge computing with artificial intelligence will enhance the gamification of education by addressing two primary challenges: real-time interaction and personalized service. An Edge-AI-driven gamification framework is proposed for improving student engagement through interactive tools like educational games, quizzes, and competitive learning environments. An algorithm related to the Edge-AI Gamification Optimizer is proposed to improve the overall performance. Results show that the proposed framework improves student engagement by nearly 51%, performance by 30.7% and reduces cognitive load by 57%. A comparative study with traditional learning approaches shows that AI-based gamification significantly enhances knowledge retention, boosts collaborative learning, increases student motivation, and, through statistical analysis, demonstrates a validated increase in student engagement over conventional methods. Future studies will investigate the extendability of this framework to different fields of engineering and learning environments. The proposed framework has the potential to transform educational practices by providing personalized, interactive, and motivating learning experiences, leading to better educational outcomes. Future research could explore broader applications and long-term impacts of Edge-AI-driven gamification.

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来源期刊
Computer Applications in Engineering Education
Computer Applications in Engineering Education 工程技术-工程:综合
CiteScore
7.20
自引率
10.30%
发文量
100
审稿时长
6-12 weeks
期刊介绍: Computer Applications in Engineering Education provides a forum for publishing peer-reviewed timely information on the innovative uses of computers, Internet, and software tools in engineering education. Besides new courses and software tools, the CAE journal covers areas that support the integration of technology-based modules in the engineering curriculum and promotes discussion of the assessment and dissemination issues associated with these new implementation methods.
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