Muhammad Nabil Bin Mashod
Research Subjects
Muhammad Nabil Bin Mashod has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Amelia Abdullah
School of Educational Studies, Universiti Sains Malaysia, Penang, Malaysia
1 shared publication - Khairul Bariah Ahmad Amin Noordin
School of Dental Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Malaysia
1 shared publication - Norhayati Yusop
Basic Science Unit, School of Dental Sciences, Health Campus, Universiti Sains Malaysia, Kota Bharu, Malaysia
1 shared publication - Norsamsu Arni Samsudin
Paediatric Dentistry Unit, School of Dental Sciences, Universiti Sains Malaysia (USM), Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia
1 shared publication - Nur Arnida Mohd Safuwan
Department of Chemical Pathology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
1 shared publication
Latest Publications
- Open Access
- 3 November 2025
- Published by Servicio de Publicaciones de la Universidad de Murcia in Revista Española de Educación Médica
- Vol. 6 (6)
Development and Use of AI-Assisted Case-Based Learning in Dental and Medical Education
Clinical reasoning and diagnostic competencies are widely recognized as essential components in dental and medical education yet remain difficult to achieve effective outcomes. Case-Based Learning (CBL) has been adopted as a structured pedagogical approach to address several challenges in engaging students in real clinical scenarios. In recent years, Artificial Intelligence (AI)-assisted tools, particularly those designed for clinical case development and information curation, have been introduced to support CBL without displacing traditional instructional methods. This narrative review synthesizes current literature to examine the role of AI-assisted approaches in enhancing undergraduates' learning experiences, in terms of engagement, motivation, knowledge integration, and improvement of diagnostic reasoning within CBL frameworks. The present review further highlights the practical consideration for dental and medical educators, and curriculum designers to focus on the integration of AI-assisted tools as a means of strengthening clinical education practices while maintaining educational integrity and learner-centered outcomes in higher education.
- 3 November 2025
- Published by Servicio de Publicaciones de la Universidad de Murcia in Revista Española de Educación Médica
- Vol. 6 (6)
Open AccessDevelopment and Use of AI-Assisted Case-Based Learning in Dental and Medical Education
Clinical reasoning and diagnostic competencies are widely recognized as essential components in dental and medical education yet remain difficult to achieve effective outcomes. Case-Based Learning (CBL) has been adopted as a structured pedagogical approach to address several challenges in engaging students in real clinical scenarios. In recent years, Artificial Intelligence (AI)-assisted tools, particularly those designed for clinical case development and information curation, have been introduced to support CBL without displacing traditional instructional methods. This narrative review synthesizes current literature to examine the role of AI-assisted approaches in enhancing undergraduates' learning experiences, in terms of engagement, motivation, knowledge integration, and improvement of diagnostic reasoning within CBL frameworks. The present review further highlights the practical consideration for dental and medical educators, and curriculum designers to focus on the integration of AI-assisted tools as a means of strengthening clinical education practices while maintaining educational integrity and learner-centered outcomes in higher education.