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

Area of Science:

• Dental Education
• Artificial Intelligence
• Personalized Learning

Background:

• Conventional dental education relies on rigid, standardized learning methods.
• Artificial intelligence (AI) offers personalized learning tailored to individual student needs and preferences.
• AI is emerging as a transformative force in dental education.

Purpose of the Study:

• To review AI tools driving personalization in dental education.
• To explore how AI can create tailor-made learning experiences.
• To inform practice and policy through new knowledge.

Main Methods:

• Conducted a keyword search for "personalized learning" OR "adaptive learning" AND "artificial intelligence" AND "dental education".
• Reviewed studies to identify AI tools used for personalizing the dental learning process.
• Included studies focusing on AI in dental education, virtual simulation, and augmented reality.

Main Results:

• Initial search yielded 920 studies; 6 were included after screening and deduplication.
• Identified various AI tools, including virtual reality (VR) and augmented reality (AR), for immersive learning.
• Found that AI facilitates interactive and engaging educational experiences.

Conclusions:

• AI-driven personalized dental education presents both advantages and disadvantages.
• Multistakeholder collaboration is key to improving adaptive, student-centered learning.
• AI integration can revolutionize dental education, enhancing learning and informing policy.