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通过游戏化和人工智能增强人体解剖学教育:知识获取的创新方法。

Empowering human anatomy education through gamification and artificial intelligence: An innovative approach to knowledge appropriation.

机构信息

Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.

Centro Nacional de Inteligencia Artificial CENIA, Santiago, Chile.

出版信息

Clin Anat. 2024 Jan;37(1):12-24. doi: 10.1002/ca.24074. Epub 2023 Jul 15.

Abstract

Gamification has appeared as an alternative educational methodology to traditional tools. Specifically, in anatomy teaching, multiple technological applications have emerged in response to the difficulties of accessing cadaveric material; however, there is insufficient information about the effects of these applications on the performance achieved by students, or about to the best way to adapt learning to meet their educational needs. In this study, we investigated how teaching human anatomy through a mobile gamified technological tool containing recommendation systems can be combined with a virtual assistant to improve the learning and academic performance of medical students in the Anatomy Department at the Universidad de La Frontera in Temuco, Chile and the Anatomy Department at the Pontificia Universidad Católica de Chile. In total, 131 students participated in the experiment, which was divided into two case studies. The main findings led to the conclusion that gamified components support students in learning anatomy. In addition, the predictions and recommendations provided by the virtual assistant enabled the academic aspects that the students needed to improve to be extracted adequately. Future work is expected to support adaptive learning by incorporating new artificial intelligence in education elements that can generate personalized scenarios for studying anatomy based on the application.

摘要

游戏化已经成为一种替代传统工具的教育方法。具体来说,在解剖学教学中,为了应对获取尸体材料的困难,已经出现了多种技术应用;然而,关于这些应用对学生所取得的成绩的影响,或者关于如何最好地调整学习以满足他们的教育需求,信息还不够充分。在这项研究中,我们研究了如何通过一个包含推荐系统的移动游戏化技术工具来教授人体解剖学,并结合虚拟助手来提高智利特木科大学和智利天主教大学解剖系医学生的学习和学术表现。共有 131 名学生参加了实验,实验分为两个案例研究。主要发现得出的结论是,游戏化组件支持学生学习解剖学。此外,虚拟助手提供的预测和建议能够充分提取出学生需要提高的学习方面。未来的工作预计将通过将新的人工智能教育元素纳入其中,根据应用程序为学生生成个性化的解剖学学习场景,从而支持自适应学习。

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