<p>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.</p>

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Reflections on “Enhancing heart anatomy education in middle schools”: integrating artificial intelligence, educational equity, and instructional coherence

  • Betül Digilli Ayaş

摘要

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.