Document Type
Conference Proceeding
Publication Date
Winter 12-2024
Abstract
The paper proposes “AdaptVR” a virtual reality (VR) system designed to enhance dental training through realistic real tile simulations and adaptive learning environment, to overcome traditional training challenges in dental education. The system aims to provide personalized learning experiences, facilitating skill development and comprehensive assessments for students. The proposed system was tested by 17 dentistry students and 5 experts. Experimental results showed that the AdaptVR The average accuracy of Class I is 50.85, Class II is 51.7% accuracy and Class II box technique is 82.09%. The average of error percentage is 49% of Class I, Class II is 48 % and Class II box technique is 18% .
Recommended Citation
Barakat, Nahla; hamdy, Abeer; and Sherif, Meriam, "AdaptVR: An Adaptive Learning VR System for Dental Students Training" (2024). Artificial Intelligence. 18.
https://buescholar.bue.edu.eg/artificial_intelligence/18