Personalized Learning With Artificial Intelligence in Dental Education: An Integrative Review

TL;DR

This paper reviews how AI is transforming dental education by personalizing learning to individual needs and preferences.

Contribution

The paper provides an integrative review of AI tools in dental education, emphasizing personalized learning approaches.

Findings

AI tools like VR and AR are used to create immersive and interactive dental education experiences.

Personalized learning through AI can adapt to diverse learner preferences and improve educational outcomes.

Collaboration among stakeholders is needed to enhance AI-driven dental education systems.

Abstract

Dental education is at the pinnacle of innovation and evolution. Advancements in artificial intelligence (AI) have reinforced personalized dental education to learners’ preferences and needs to emerge as a game changer. Conventional dental education has rigid and standardized methods of learning that are inconvenient to diverse learning preferences. With the aid of AI, the learning process can be personalized. This integrative review discusses the various AI tool driving change in dental education to provide a tailor‐made learning experience for developing new knowledge that can inform practice and policy.

The search strategy involved looking for keywords, “personalized learning” OR “adaptive learning” AND “artificial intelligence” AND “dental education” across databases. The results obtained were subject to review and the various AI tools used in dental education for personalizing learning process are discussed.

The keyword search across databases yielded 920 studies. After the 355 duplicates were removed 565 studies remained. The title and abstract screening were conducted; 377 studies were excluded resulting in 188 studies, 175 studies not complying with the inclusion criteria, resulting in 13 studies of which six were included as other studies did not specify on dental education, virtual simulation, augmented reality (AR) without inculcating AI technologies. The studies reviewed showed numerous tools such as virtual reality (VR) and AR being utilized for interactive and immersive engagement of learners.

This review highlights both the pros and cons of AI‐driven personalized dental education and analyses prospects for improvement such as multistakeholder collaboration to create adaptive and student‐centered learning experience. Personalized dental education driven by AI can serve as a game changer in dental education by integrating technology for enhanced learning and development of policies for proper adaptation of such systems in personalized dental education.

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