Digilli Ayaş Betül
Department of Anatomy, Faculty of Medicine, Necmettin Erbakan University, Meram, 42090, Konya, Turkey.
Anat Sci Int. 2025 Jun 30. doi: 10.1007/s12565-025-00865-y.
The integration of digital technologies into anatomy education continues to evolve, with virtual reality (VR) and mobile applications gaining traction in enhancing student engagement and conceptual understanding. Building upon the study by Koca and Çevik Özdemir (2025), which compares the effects of VR and tablet based tools on middle school students' learning of cardiac anatomy, this commentary explores additional dimensions that could further enrich the educational landscape, particularly the role of artificial intelligence (AI) in promoting instructional coherence and inclusivity. The commentary highlights a variety of AI-driven tools that have been established in the anatomy education literature, including adaptive learning platforms, large language models like ChatGPT, three-dimensional visualization environments, and digital cadaver systems such as the Anatomage Table. Moreover, the role of intelligent tutoring systems (e.g., Smart Tutor, Why2-Atlas), NLP-based platforms (e.g., IBM Watson Tutor, Ada), and AI-supported feedback systems is discussed in relation to their capacity to personalize learning experiences and enhance accessibility. Special attention is also given to pedagogical equity, addressing how AI can support students with diverse learning needs by dynamically tailoring instructional content. By synthesizing current findings and technological advancements, this commentary advocates for a more integrative approach to digital anatomy instruction, one that merges immersive technologies with responsive AI systems to foster deeper understanding, learner autonomy, and broader educational inclusion.
数字技术在解剖学教育中的整合不断发展,虚拟现实(VR)和移动应用在提高学生参与度和概念理解方面越来越受到关注。基于科卡和切维克·奥兹德米尔(2025年)的研究,该研究比较了VR和平板电脑工具对中学生心脏解剖学学习的影响,本评论探讨了可以进一步丰富教育领域的其他方面,特别是人工智能(AI)在促进教学连贯性和包容性方面的作用。评论强调了解剖学教育文献中已经确立的各种人工智能驱动的工具,包括自适应学习平台、像ChatGPT这样的大语言模型、三维可视化环境以及像Anatomage Table这样的数字尸体系统。此外,还讨论了智能辅导系统(如Smart Tutor、Why2-Atlas)、基于自然语言处理的平台(如IBM Watson Tutor、Ada)以及人工智能支持的反馈系统在个性化学习体验和提高可及性方面的作用。还特别关注教学公平性,探讨人工智能如何通过动态调整教学内容来支持有不同学习需求的学生。通过综合当前的研究结果和技术进步,本评论倡导一种更综合的数字解剖学教学方法,即将沉浸式技术与响应式人工智能系统相结合,以促进更深入的理解、学习者自主性和更广泛的教育包容性。
JBI Database System Rev Implement Rep. 2016-4
Health Soc Care Deliv Res. 2025-5-21