Skip to main content
Wiley Open Access Collection logoLink to Wiley Open Access Collection
. 2025 Nov 20;30(3):750–756. doi: 10.1111/eje.70079

Beyond the Drill: Can Digital Gadgets Redefine the Future of Dental Education?

Szabolcs Felszeghy 1, Adam Kada 2, Amanda Jackson 3, Andreea Didilescu 4, Barry Quinn 5, Dalia Meisha 6, Damiano Pasqualini 7, Daniela Alejandra Pino Valenzuela 8, Nejdet Adanir 9, Esther Carramolino Cuellar 10, Gianrico Spagnuolo 11, Gitana Rederiene 12, Gulsun Gul 13, Hal Duncan 14, Hany Mohamed Aly Ahmed 15, Jorge Alberto Tricio Pesce 16, Khaled Ahmed 17, Laura Andriukaitiene 18, Łukasz Zadrozny 19, Małgorzata Ponto‐Wolska 19, Margaret J Cox 20, Maria Florencia Sittoni Pino 10, María Paz Rodríguez Hopp 21, Masako Nagasawa 22, Mengwei Pang 23, Mikko Liukkonen 24, Murat Mutluay 25, Neshka Manchorova 26, Nicla Flacco 10, Nisrine El Arrouf 2, Noha Waleed Barakat 27, Outi Huhtela 1, Peter Lingström 28, Samantha Byrne 17, Sobia Zafar 29, Sompop Bencharit 30, Suzie Bergman 31, Ulf Örtengren 28, Reinhard Chun Wang Chau 32,✉
PMCID: PMC13383286  PMID: 41267424

ABSTRACT

Background

The integration of artificial intelligence (AI), virtual reality (VR) and haptic technologies is revolutionising dental education, offering transformative opportunities to enhance skill acquisition, ergonomic awareness and student well‐being. These tools offer immersive, repeatable and personalised learning experiences, addressing challenges such as underdeveloped manual dexterity in digitally literate students and post‐COVID disruptions in hands‐on training.

Aim

This letter aims to highlight the transformative potential of AI‐driven adaptive feedback paired with VR and haptic simulators in creating risk‐free environments for mastering complex procedures, while advocating for strategies to reduce clinical errors and promote sustainability by minimising reliance on physical resources.

Discussion

Despite their potential, barriers such as high costs, resistance to change, logistical complexities and insufficient longitudinal evidence hinder widespread adoption. These challenges perpetuate educational disparities, particularly in low‐resource regions, and necessitate targeted strategies such as cost‐effective models, faculty retraining and international collaboration. The rise of digitally native educators and global initiatives, such as the Digital, VR‐Haptic Thinkers network, signals a shift toward future‐ready curricula that prioritise equity, sustainability and innovation. As mandated by the EU's 2024 directive, digital dentistry knowledge is now a fundamental component of basic dental training.

Conclusion

To fully harness these technologies, stakeholders must address evidence gaps, validate cognitive benefits and align curricula with modern learner expectations. This letter calls for urgent collaboration among educators, institutions and industry to overcome barriers, ensuring dental education evolves to meet 21st‐century demands for equitable, high‐quality oral healthcare delivery.


The landscape of dental education in the 21st century has entered a period of transformative disruption. Advances in artificial intelligence (AI), virtual reality (VR), haptics, and other digital technologies are not merely incremental extensions of traditional teaching methods [1, 2, 3]. Instead, they represent a paradigm shift that will fundamentally redefine how future dental professionals are trained to deliver high‐quality patient care [4, 5]. For instance, AI has demonstrated strong performance in dental licensing examinations and detecting oral diseases through image analysis [6, 7, 8, 9, 10], potentially enhancing the training of dental students [11, 12]. The crucial question emerges: Is the true power of digital dental education being unlocked, or are the hidden keys still being overlooked?

1. AI, VR and Haptics: From Adjuncts to Essentials

One of the most compelling opportunities lies in the integration of VR and haptic devices, which AI can further augment for personalised learning experiences [13, 14]. These tools have become indispensable pillars in healthcare education, supporting multiple dimensions of dental learning: enhancing knowledge acquisition, accelerating mastery of fine motor skills, promoting ergonomic awareness, reducing student anxiety and serving as a psychotherapeutic tool [15, 16, 17, 18, 19]. Their capacity for immersive, repetitive and individualised practice provides an experience akin to having a tireless and skilled clinical mentor available around the clock [20, 21]. However, simulator fidelity varies by task, transfer to real‐patient performance is uneven across studies, and a subset of learners may experience motion discomfort or sensory overload. Nevertheless, despite robust evidence over the past decade demonstrating the effectiveness of these approaches in dental training, global adoption remains slow [22]. Reluctance to embrace these technologies risks underutilizing a powerful instrument for shaping tomorrow's dental professionals [23].

2. Post‐COVID Education and the Dexterity Dilemma

The acceleration of digital education during the COVID‐19 pandemic highlighted both opportunities and vulnerabilities [24, 25], not only for patients but also for educators and students [26]. Online platforms sustained theoretical teaching, but the absence of hands‐on training exacerbated an emerging issue: the new generation of dental students, though highly digitally literate, often enters preclinical training with underdeveloped manual dexterity, leading to heightened stress during tasks requiring motor precision [19, 27, 28, 29].

For students who missed out on regular clinical practice in their novice years of training and repetitive practice in their training laboratories, there was a potential risk of compromising patient safety and treatment outcomes [30, 31, 32]. Therefore, curriculum innovation is urgently needed, with the integration of VR and haptic simulators, combined with AI for adaptive feedback, to offer realistic, ergonomic and risk‐free environments for learners to refine their motor skills without incurring clinical error consequences [33, 34, 35, 36]. Institutions should consider setting minimum in‐clinic requirements to ensure exposure to anatomic and clinical variability that simulators cannot yet replicate, thereby preventing over‐reliance on simulator scores alone.

3. Barriers to Widespread Integration

Several barriers inhibit full integration of VR and haptic systems into dental curricula [3, 37, 38]:

  • Cost: Initial investments remain prohibitive, especially in low‐resource regions, perpetuating training inequities and limiting access for underserved institutions [22]. This financial hurdle not only delays adoption but also exacerbates global disparities in dental education quality, as seen in areas with limited funding for technology infrastructure.

  • Resistance to change: Many educators remain attached to traditional teaching practices, hindering the adoption of novel methods due to familiarity with hands‐on, mentor‐based approaches [39]. Overcoming this requires cultural shifts within faculties, as digitally immigrant instructors may need targeted retraining to appreciate the benefits of immersive tools [40].

  • Logistical complexity: Integration demands curriculum redesign, alignment with learning objectives and extensive faculty training, requiring institutional commitment, infrastructure and time [41]. These challenges can strain resources, particularly in programs already overburdened by post‐COVID adaptations, leading to inconsistent implementation across schools [42].

  • Adaptation to the new generations: Current and upcoming student generations anticipate and prefer independent, interactive learning with instant feedback, which traditional curricula often fail to provide [43]. This mismatch can reduce engagement and motivation, as digitally native learners thrive in adaptive environments but may face frustration with outdated methods [44].

  • Evidence gaps: While short‐term studies show promise, robust longitudinal research is needed to confirm improved clinical performance and patient care outcomes over time [45, 46]. Without this, scepticism persists among stakeholders regarding the long‐term efficacy of these technologies. Additional protocols and assessments of the efficacy and ethical aspects of emerging technologies are also constantly required [47, 48].

  • Validation needs: Despite the educational benefits of tools like 3DVR, their integration into curricula remains underexplored, with key questions around replacing traditional clinical training, achieving comparable effects and enhancing cognitive skills [49]. For example, currently, there are no benchmarks for validating 3DVR‐haptic simulation training in dentistry using neurophysiological measures of cognitive effects, which are essential for assessing whether these methods effectively foster learning, high‐level thinking and decision‐making skills.

Targeted strategies—such as cost‐effective models, faculty development, institutional buy‐in and rigorous multi‐center research—are essential to overcoming these barriers, with international collaboration accelerating progress [50, 51, 52, 53].

4. AI, VR, Haptics: A Transformative, Lifelong Solution

Looking forward, VR haptic simulators, enhanced by AI, will be foundational technologies across the dental education continuum, offering sustainable solutions for all training levels [54, 55]:

  • Undergraduate learners benefit from early acquisition of manual dexterity, supported by instant feedback and unlimited opportunities to practice [56].

  • Advanced preclinical and clinical trainees can refine their skills in complex procedures within controlled, replicable scenarios, such as treatment designs of dental prostheses, dental implants and oral surgeries [57, 58, 59].

  • Postgraduate professionals can use VR haptics for specialisation, ergonomic enhancement and continuing competency training.

  • Practicing clinicians can rely on them for lifelong learning, stress reduction and adaptation to new procedures and technologies.

Beyond their pedagogical and ergonomic value, VR haptic simulators also provide long‐term economic and environmental benefits [60, 61]. By allowing students to repeat procedures endlessly in a virtual environment, these systems eliminate the need for large quantities of extracted natural teeth or artificial resin teeth, which are costly and limited in supply [22, 39]. The capacity to replicate the same gesture without consuming physical materials not only reduces expenses but also ensures fairer access to training resources.

Moreover, this digital approach aligns with principles of eco‐responsibility. Traditional preclinical training often generates significant waste through the use of single‐use plastic blocks, disposable teeth and consumable materials [62]. VR haptics minimise this footprint by substituting physical practice with virtual repetition, thereby reducing reliance on non‐biodegradable resources [63]. The variety of clinical scenarios that can be simulated within a single digital platform further enhances sustainability by maximising training outcomes while minimising environmental impact.

Barring economic constraints, AI, VR and haptic solutions could help reduce educational disparities and enable equitable, future‐ready dentistry, particularly in underserved regions, by providing safe and stress‐reducing learning environments and means to access oral healthcare.

5. A Call to Action

With the growing evidence of their benefits, digital gadgets should not be considered superficial for dental education [64, 65], even though further studies are needed to fully establish their convenience and acceptability by dental students and educators. They enhance skill development, student and educator well‐being, clinical accuracy, resilience and patient‐centered care, offering structured, repeatable learning that aligns with the needs of 21st‐century dentistry [12, 38, 66, 67]. Failure to embrace them risks widening educational disparities and leaving graduates unprepared for future oral healthcare demands [68, 69, 70, 71]. Educators, institutions, policymakers and industry must collaborate to transform challenges into opportunities, ensuring excellence in future care through urgent action to elevate dental education.

According to the Commission Delegated Directive (EU) 2024/782, an ‘adequate knowledge of digital dentistry and a good understanding of its use and safe application in practice’ should be included among knowledge and skills in basic dental training [72]. Dental edtech groups, such as the Association for Dental Education in Europe (ADEE) and Digital, VR‐Haptic Thinkers (VRHT), foster a global community that advances innovation in dental education, complementing traditional methods [73, 74]. AI, VR and haptic solutions reduce educational disparities and enable equitable, future‐ready dentistry, particularly in underserved regions, by providing safe and stress‐reducing learning environments and means to access oral healthcare [71, 75, 76, 77, 78, 79, 80]. Faculty training programs are vital for equipping academic staff with the competencies necessary to transform teaching delivery and preclinical competency assessment, thereby ensuring a relevant, inclusive and future‐oriented education [81, 82, 83].

An encouraging trend is the emergence of a new generation of digitally native educators who are poised to accelerate the integration of AI, VR and haptic technologies into dental education [54, 84]. Unlike their digitally immigrant predecessors, who often require extensive retraining and mindset shifts to adopt new tools, these educators are inherently fluent in digital environments and more receptive to pedagogical innovation. Their familiarity with interactive platforms, adaptive learning systems and immersive technologies positions them as catalysts for change, enabling them to bridge the gap between traditional curricula and modern digital solutions [85, 86]. By introducing tech‐enhanced teaching methods and mentoring their peers, digitally native educators play a pivotal role in reshaping institutional culture and accelerating the adoption of future‐ready educational models.

Emerging digital technologies are essential for developing sustainable, future‐ready dental curricula that unite innovation, environmental responsibility and economic value. The ADEE Green Awards in 2024 (Budapest) and 2025 (Bucharest) recognised VRHT's leadership, demonstrating that excellence in dental education must be aligned with equity and sustainability.

graphic file with name EJE-30-750-g001.jpg

The Thinkers: A Global Movement in Dental Education

The Digital, VR‐Haptic Thinkers (https://vr‐hapticthinkers.com) represents a pioneering global network uniting professionals, educators and researchers to advance digital, virtual reality and haptic technologies in dental education and practice.

With 63 specialised niches embedded in top‐tier dental institutions and representing more than 27 000 students worldwide, the network catalyses the reimagining of traditional training, reinforces manual skill acquisition and shapes a more equitable and future‐ready generation of oral healthcare professionals.

Conflicts of Interest

The authors declare no conflicts of interest.

Felszeghy S., Kada A., Jackson A., et al., “Beyond the Drill: Can Digital Gadgets Redefine the Future of Dental Education?,” European Journal of Dental Education 30, no. 3 (2026): 750–756, 10.1111/eje.70079.

Funding: The authors received no specific funding for this work.

Data Availability Statement

The authors have nothing to report.

References

  • 1. Wang G., Badal A., Jia X., et al., “Development of Metaverse for Intelligent Healthcare,” Nature Machine Intelligence 4, no. 11 (2022): 922–929. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Cope B., Kalantzis M., and Searsmith D., “Artificial Intelligence for Education: Knowledge and Its Assessment in AI‐Enabled Learning Ecologies,” Educational Philosophy and Theory 53, no. 12 (2021): 1229–1245. [Google Scholar]
  • 3. Cox M. J., Louca C., Barber S., Haywood‐Hull J., Hallissey B., and Withers D., Virtual Haptic Simulators: Diversifying the Technologies to Enhance Teaching and Learning in Higher Education (Springer, 2024), 100–110. [Google Scholar]
  • 4. Ohyama H., Duong M. L., Yancoskie A. E., et al., “Challenges and Opportunities in Implementing Digital Technology in Dental Curriculum: A Review and Perspective,” Cureus 17, no. 4 (2025): e83272, 10.7759/cureus.83272. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Shirazi B. N., Safavi A. A., Aftabi E., and Salimi G., The Integration of Virtual Reality and Artificial Intelligence in Educational Paradigms (IEEE, 2024), 1–6. [Google Scholar]
  • 6. Chau R. C. W., Li G.‐H., Tew I. M., et al., “Accuracy of Artificial Intelligence‐Based Photographic Detection of Gingivitis,” International Dental Journal 73, no. 5 (2023): 724–730. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Chau R. C. W., Thu K. M., Yu O. Y., Hsung R. T.‐C., Lo E. C. M., and Lam W. Y. H., “Performance of Generative Artificial Intelligence in Dental Licensing Examinations,” International Dental Journal 74, no. 3 (2024): 616–621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Schwendicke F. and Tichy A., The Expanding Role of AI in Dentistry: Beyond Image Analysis: The Expanding Role of AI in Dentistry: Beyond Image Analysis (Nature Publishing Group, 2025). [DOI] [PubMed] [Google Scholar]
  • 9. Büttner M., Leser U., Schneider L., and Schwendicke F., “Natural Language Processing: Chances and Challenges in Dentistry,” Journal of Dentistry 141 (2024): 104796. [DOI] [PubMed] [Google Scholar]
  • 10. Chau R. C. W., Thu K. M., Yu O. Y., et al., “Evaluation of Chatbot Responses to Text‐Based Multiple‐Choice Questions in Prosthodontic and Restorative Dentistry,” Dentistry Journal 13 (2025): 279. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Fang Q., Reynaldi R., Araminta A. S., et al., “Artificial Intelligence (AI)‐Driven Dental Education: Exploring the Role of Chatbots in a Clinical Learning Environment,” Journal of Prosthetic Dentistry 134 (2024): 1296–1303. [DOI] [PubMed] [Google Scholar]
  • 12. Lu B., Wei Z., Li X., et al., “Progress of a Novel Dentistry Teaching Model Based on the Combination of Virtual Reality and Artificial Intelligence Technologies in Optimizing Cognitive Load: A Systematic Review,” Journal of Dental Education (2025). [DOI] [PubMed] [Google Scholar]
  • 13. Tursunova F., Oripova N., Muhammadiyeva M., Nurullayeva S., Hamroyev S., and Tishabaeva I., Augmented Reality and AI in Higher Education: Creating Immersive Learning Experiences (IEEE, 2024), 1–5. [Google Scholar]
  • 14. Kumar A., Saudagar A. K. J., Kumar A., Alkhrijah Y. M., and Raja L., “Innovating Medical Education Using a Cost Effective and Scalable VR Platform With AI‐Driven Haptics,” Scientific Reports 15, no. 1 (2025): 26360. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Usta S. N., Silva E. J. N. L., Keskin C., Tekkanat H., Liukkonen M., and Felszeghy S., “A Comparison of Traditional and Virtual Reality Haptic Simulator Approaches in Preclinical Endodontic Training: Impacts on Skill Acquisition, Confidence and Stress,” International Endodontic Journal (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Chengoden R., Victor N., Huynh‐The T., et al., “Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions,” IEEE Access 11 (2023): 12765–12795. [Google Scholar]
  • 17. Daud A., Matoug‐Elwerfelli M., Daas H., Zahra D., and Ali K., “Enhancing Learning Experiences in Pre‐Clinical Restorative Dentistry: The Impact of Virtual Reality Haptic Simulators,” BMC Medical Education 23, no. 1 (2023): 948. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Moussa R., Alghazaly A., Althagafi N., Eshky R., and Borzangy S., “Effectiveness of Virtual Reality and Interactive Simulators on Dental Education Outcomes: Systematic Review,” European Journal of Dentistry 16, no. 1 (2022): 14–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Patil S., Bhandi S., Awan K. H., et al., “Effectiveness of Haptic Feedback Devices in Preclinical Training of Dental Students—A Systematic Review,” BMC Oral Health 23, no. 1 (2023): 739, 10.1186/s12903-023-03410-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Sherif M., Barakat N., and Hamdy A., AdaptVR: An Adaptive Learning VR System for Dental Students Training (IEEE, 2024), 1–6. [Google Scholar]
  • 21. Li Y., Ye H., Ye F., et al., “The Current Situation and Future Prospects of Simulators in Dental Education,” Journal of Medical Internet Research 23, no. 4 (2021): e23635. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Felszeghy S., Mutluay M., Liukkonen M., et al., “Benefits and Challenges of the Integration of Haptics‐Enhanced Virtual Reality Training Within Dental Curricula,” Journal of Dental Education 89, no. 7 (2025): 1070–1083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Huang Y., Huang S., Liu Y., Lin Z., Hong Y., and Li X., “Application of Virtual Reality and Haptics System Simodont in Chinese Dental Education: A Scoping Review,” European Journal of Dental Education 29, no. 3 (2025): 585–593, 10.1111/eje.12984. [DOI] [PubMed] [Google Scholar]
  • 24. Elgendy H., Cui X., Watkins T., and McQuistan M., “Teaching Dental Drawings for Freshman Dental Students and Its Correlation With Manual Dexterity,” International Journal of Dentistry 2023, no. 1 (2023): 5685003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Adedoyin O. B. and Soykan E., “Covid‐19 Pandemic and Online Learning: The Challenges and Opportunities,” Interactive Learning Environments 31, no. 2 (2023): 863–875. [Google Scholar]
  • 26. Chau R. C.‐W., Thu K. M., Hsung R. T.‐C., McGrath C., and Lam W. Y.‐H., “Self‐Monitoring of Oral Health Using Smartphone Selfie Powered by Artificial Intelligence: Implications for Preventive Dentistry,” Oral Health & Preventive Dentistry 22 (2024): 5758200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Saeed M., Alfarra M. B., Abdelmagied M. H., et al., “Comparative Analysis of Manual Dexterity of Dental Students at Ajman University Following One Academic Year of Preclinical Training Sessions: A Longitudinal Cohort Study,” European Journal of Dentistry 17, no. 4 (2023): 1179–1188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Agius A. M., Gatt G., Vento Zahra E., et al., “Self‐Reported Dental Student Stressors and Experiences During the COVID‐19 Pandemic,” Journal of Dental Education 85, no. 2 (2021): 208–215. [DOI] [PubMed] [Google Scholar]
  • 29. Chaudhuri J. D., “Stimulating Intrinsic Motivation in Millennial Students: A New Generation, a New Approach,” Anatomical Sciences Education 13, no. 2 (2020): 250–271. [DOI] [PubMed] [Google Scholar]
  • 30. Smith C. B., Purcell L. N., and Charles A., “Cultural Competence, Safety, Humility, and Dexterity in Surgery,” Current Surgery Reports 10, no. 1 (2022): 1–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Sim M. Y., Tan L. F., Adam L., and Loch C., “No One Is Born With It: Australasian Dental Students' Perceptions of Learning Manual Dexterity,” Journal of Dental Education 87, no. 1 (2023): 60–69. [DOI] [PubMed] [Google Scholar]
  • 32. Cox M. and Quinn B., “Learning Leaders: Teaching and Learning Frameworks in Flux Impacted by the Global Pandemic,” Canadian Journal of Learning and Technology 47, no. 4 (2021): 1–20. [Google Scholar]
  • 33. Mehl A., Blanz V., and Hickel R., “Biogeneric Tooth: A New Mathematical Representation for Tooth Morphology in Lower First Molars,” European Journal of Oral Sciences 113, no. 4 (2005): 333–340. [DOI] [PubMed] [Google Scholar]
  • 34. Chau R. C. W., Thu K. M., Hsung R. T. C., and Lam W. Y. H., “Teeth Reconstruction Using Artificial Intelligence: Trends, Perspectives, and Prospects,” Journal of the California Dental Association 51, no. 1 (2023): 2199910. [Google Scholar]
  • 35. Ahmad F., Ahmad W., Xiong J., and Xia Z., AR and MR in Dentistry: Developments, Applications, and Prospects (IEEE Transactions on Medical Robotics and Bionics, 2024). [Google Scholar]
  • 36. Aura‐Tormos J. I., Vello‐Ribes M. A., Frechina‐Borras N., Casaña‐Ruiz M. D., and Catalá‐pizarro M., “Evaluating Haptic Virtual Reality Simulator for Pulpotomy Training in Primary Teeth: A Pilot Study on Dental Student Pespectives,” European Journal of Dental Education 29, no. 3 (2025): 613–621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Chau R. C. W., Usta S. N., Pantea M., et al., “Enhancing Dental Education Through Virtual Reality and Haptic Technologies,” Journal of the American Dental Association (2025). [DOI] [PubMed] [Google Scholar]
  • 38. Lin P.‐Y., Chen T.‐C., Lin C.‐J., et al., “The Use of Augmented Reality (AR) and Virtual Reality (VR) in Dental Surgery Education and Practice: A Narrative Review,” Journal of Dental Sciences 19 (2024): S91–S101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Perry S., Bridges S. M., and Burrow M. F., “A Review of the Use of Simulation in Dental Education,” Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare 10, no. 1 (2015): 31–37. [DOI] [PubMed] [Google Scholar]
  • 40. Alam F. and Matava C., “A New Virtual World? The Future of Immersive Environments in Anesthesiology,” Anesthesia & Analgesia 135, no. 2 (2022): 230–238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Matoug‐Elwerfelli M., Al‐Khabuli J., Alhobeira H., Dass H., Abdou A., and Ali K., “Integration of Haptic Virtual Reality Simulators in Undergraduate Dental Curricula: A Survey‐Based Study in Gulf Cooperation Council Countries,” PLoS One 20, no. 5 (2025): e0322810. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Khan H. U., Ali Y., Khan F., and Al‐Antari M. A., “A Comprehensive Study on Unraveling the Advances of Immersive Technologies (VR/AR/MR/XR) in the Healthcare Sector During the COVID‐19: Challenges and Solutions,” Heliyon 10, no. 15 (2024): e35037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Hartman J., Moskal P., and Dziuban C., “Preparing the Academy of Today for the Learner of Tomorrow,” Educating the Net Generation 6, no. 1 (2005): 1–9. [Google Scholar]
  • 44. Kivunja C., “Theoretical Perspectives of How Digital Natives Learn,” International Journal of Higher Education 3, no. 1 (2014): 94–109. [Google Scholar]
  • 45. Gani A., Pickering O., Ellis C., Sabri O., and Pucher P., “Impact of Haptic Feedback on Surgical Training Outcomes: A Randomised Controlled Trial of Haptic Versus Non‐Haptic Immersive Virtual Reality Training,” Annals of Medicine and Surgery 83 (2022): 104734. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Shahriari‐Rad A., Cox M., and Woolford M., “Clinical Skills Acquisition: Rethinking Assessment Using a Virtual Haptic Simulator,” Technology, Knowledge and Learning 22, no. 2 (2017): 185–197. [Google Scholar]
  • 47. Chau R. C. W., Chong M., Thu K. M., et al., “Artificial Intelligence‐Designed Single Molar Dental Prostheses: A Protocol of Prospective Experimental Study,” PLoS One 17, no. 6 (2022): e0268535. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. McGrath C., Chau C. W. R., and Molina G. F., “Monitoring Oral Health Remotely: Ethical Considerations When Using AI Among Vulnerable Populations,” Frontiers in Oral Health 6 (2025): 1587630. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Javvaji C. K., Reddy H., Vagha J. D., Taksande A., Kommareddy A., and Reddy N. S., “Immersive Innovations: Exploring the Diverse Applications of Virtual Reality (VR) in Healthcare,” Cureus 16, no. 3 (2024): e56137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Serrano C. M., Bakker D. R., Zamani M., et al., “Virtual Reality and Haptics in Dental Education: Implementation Progress and Lessons Learned After a Decade,” European Journal of Dental Education 27, no. 4 (2023): 833–840. [DOI] [PubMed] [Google Scholar]
  • 51. Al‐Saud L. M., “The Utility of Haptic Simulation in Early Restorative Dental Training: A Scoping Review,” Journal of Dental Education 85, no. 5 (2021): 704–721. [DOI] [PubMed] [Google Scholar]
  • 52. Hashem D., Farag A., Algarni A. A., et al., “Integrating Haptic Simulation in Dentistry: Faculty Insights and Future Directions,” Frontiers in Oral Health 6 (2025): 1592095. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Daud A., Matoug‐Elwerfelli M., Khalid A., and Ali K., “The Impact of Virtual Reality Haptic Simulators in Pre‐Clinical Restorative Dentistry: A Qualitative Enquiry Into Dental Students' Perceptions,” BMC Oral Health 24, no. 1 (2024): 988. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Bencharit S., Quinn B., Sittoni‐Pino M. F., et al., “Insights From the Global Education Survey on the Use of VR‐Haptics in Dental Education,” Frontiers in Dental Medicine 6 (2025): 1576646. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Imran E., Adanir N., and Khurshid Z., “Significance of Haptic and Virtual Reality Simulation (VRS) in the Dental Education: A Review of Literature,” Applied Sciences 11, no. 21 (2021): 10196. [Google Scholar]
  • 56. Ranauta A., Audsley B., and Coulthard P., “The Integration of Haptic Training Into the QMUL Dental Curriculum,” European Journal of Dental Education 29, no. 3 (2025): 622–627, 10.1111/eje.12963. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Chau R. C. W., Hsung R. T.‐C., McGrath C., Pow E. H. N., and Lam W. Y. H., “Accuracy of Artificial Intelligence‐Designed Single‐Molar Dental Prostheses: A Feasibility Study,” Journal of Prosthetic Dentistry 131, no. 6 (2024): 1111–1117. [DOI] [PubMed] [Google Scholar]
  • 58. Che S.‐A., Yang B.‐E., Park S.‐Y., et al., “Clinical Evaluation of AI‐Based Three‐Dimensional Dental Implant Planning: A Multicenter Study,” Journal of Dentistry 162 (2025): 106066. [DOI] [PubMed] [Google Scholar]
  • 59. Shujaat S., Riaz M., and Jacobs R., “Synergy Between Artificial Intelligence and Precision Medicine for Computer‐Assisted Oral and Maxillofacial Surgical Planning,” Clinical Oral Investigations 27, no. 3 (2023): 897–906. [DOI] [PubMed] [Google Scholar]
  • 60. Brown C., Hicks J., Rinaudo C. H., and Burch R., “The Use of Augmented Reality and Virtual Reality in Ergonomic Applications for Education, Aviation, and Maintenance,” Ergonomics in Design 31, no. 4 (2023): 23–31. [Google Scholar]
  • 61. Scurati G. W., Bertoni M., Graziosi S., and Ferrise F., “Exploring the Use of Virtual Reality to Support Environmentally Sustainable Behavior: A Framework to Design Experiences,” Sustainability 13, no. 2 (2021): 943. [Google Scholar]
  • 62. Martin N., Mulligan S., Fuzesi P., and Hatton P. V., “Quantification of Single Use Plastics Waste Generated in Clinical Dental Practice and Hospital Settings,” Journal of Dentistry 118 (2022): 103948. [DOI] [PubMed] [Google Scholar]
  • 63. Motaharifar M., Norouzzadeh A., Abdi P., et al., “Applications of Haptic Technology, Virtual Reality, and Artificial Intelligence in Medical Training During the COVID‐19 Pandemic,” Frontiers in Robotics and AI 8 (2021): 612949. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Chau R. C. W., Felszeghy S., Sittoni‐Pino M. F., et al., “Optimizing Preclinical Skill Assessment for Handpiece‐Naïve Students: A Strategic Approach,” Dentistry Journal 13, no. 8 (2025): 363. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Zitzmann N. U., Matthisson L., Ohla H., and Joda T., “Digital Undergraduate Education in Dentistry: A Systematic Review,” International Journal of Environmental Research and Public Health 17, no. 9 (2020): 3269. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Qasim S. H., Beyond the Classroom: Emerging Technologies to Enhance Learning (Book Bazooka Publication, 2024). [Google Scholar]
  • 67. Hiran K. K., Doshi R., and Patel M., Applications of Virtual and Augmented Reality for Health and Wellbeing (IGI Global, 2024). [Google Scholar]
  • 68. DaSilva A., Robinson M., Shi W., and McCauley L., “The Forefront of Dentistry—Promising Tech‐Innovations and New Treatments,” JDR Clinical & Translational Research 7, no. 1_suppl (2022): 16S–24S. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. McAlpin E., Levine M., Brenner C., et al., “Evaluating the Effectiveness of a Virtual Reality Simulation for Preclinical Local Anaesthesia Dental Education,” European Journal of Dental Education 29, no. 3 (2025): 542–553. [DOI] [PubMed] [Google Scholar]
  • 70. Chau R. C. W., Thu K. M., Chaurasia A., Hsung R. T. C., and Lam W. Y.‐H., “A Systematic Review of the Use of mHealth in Oral Health Education Among Older Adults,” Dentistry Journal 11, no. 8 (2023): 189. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. Chau R. C. W., Cheng A. C. C., Mao K., et al., “External Validation of an AI mHealth Tool for Gingivitis Detection Among Older Adults at Daycare Centers: A Pilot Study,” International Dental Journal 75 (2025): 1970–1978. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72. Commission delegated Directive (EU) , “2024/782 of 4 March 2024 Amending Directive 2005/36/EC of the European Parliament and of the Council as Regards the Minimum Training Requirements for the Professions of Nurse Responsible for General Care, Dental Practitioner and Pharmacist,” Publications Office of the European Union (2024).
  • 73. Felszeghy S., Liukkonen M., Flacco N., et al., “Establishing the VR‐Haptic Thinkers Group: Insights and Progress in Dental Training Technologies,” Saudi Dental Journal 36, no. 12 (2024): 1655–1659. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74. Manzanares Cespedes M., Murphy D., Paganelli C., and Field J., “The Last 15 Years: The Association for Dental Education in Europe's (ADEE) Leading Role in the Education of the European Oral Health Workforce (2010/2025),” European Journal of Dental Education 29 (2025): 635–645. [DOI] [PubMed] [Google Scholar]
  • 75. Liu C.‐M., Hsu M.‐H., Ng M. Y., and Yu C.‐H., “Digital Integration in Dental Education: A Novel Self‐Directed Learning Model Using Intraoral Scanners for Tooth Preparation Training,” Journal of Dental Sciences 20, no. 1 (2025): 639–645. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76. Pramila P., “Importance of Training in Digital Dentistry for Improving Oral Health in Remote and Rural Areas,” in Transforming Dental Health in Rural Communities: Digital Dentistry (IGI Global Scientific Publishing, 2025), 111–140. [Google Scholar]
  • 77. Tiwari A., Ghosh A., Agrawal P. K., et al., “Artificial Intelligence in Oral Health Surveillance Among Under‐Served Communities,” Bioinformation 19, no. 13 (2023): 1329–1335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78. Sanfilippo F., Salvietti G., Blazauskas T., et al., “Integrating VR, AR, and Haptics in Basic Surgical Skills Training: A Review and Perspective,” IEEE Access 13 (2025): 99203–99220. [Google Scholar]
  • 79. Al‐Emran M., Al‐Sharafi M. A., Foroughi B., et al., “From Adoption to Social Sustainability: Examining the Factors Affecting Students' Use of Virtual Reality in Higher Education,” in Education and Information Technologies (Springer, 2025), 1–24. [Google Scholar]
  • 80. Ahmed H. M. A., Al‐Maswary A., Habaebi M., et al., “Artificial Intelligence in the Study of Root and Canal Anatomy: A Comprehensive Review on Applications, Advantages, Challenges and Future Directions,” European Endodontic Journal 10, no. 5 (2025): 343–364, 10.14744/eej.2025.37232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Chau R. C. W., Neshka M., Pantea M., et al., “Shaping the Future of Dentistry: How Digital VR‐Haptic Thinkers Are Revolutionizing Education by Thinking Big for Better Future in Oral Care,” European Journal of Dentistry (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82. Change A. C., Education I. D., Haden N. K., et al., “The Dental Education Environment,” Journal of Dental Education 70, no. 12 (2006): 1265–1270. [PubMed] [Google Scholar]
  • 83. Iacopino A. M., “The Influence of ‘New Science’ on Dental Education: Current Concepts, Trends, and Models for the Future,” Journal of Dental Education 71, no. 4 (2007): 450–462. [PubMed] [Google Scholar]
  • 84. Spielman A. I., “Dental Education and Practice: Past, Present, and Future Trends,” Frontiers in Oral Health 5 (2024): 1368121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85. Yakin M. and Linden K., “Adaptive e‐Learning Platforms Can Improve Student Performance and Engagement in Dental Education,” Journal of Dental Education 85, no. 7 (2021): 1309–1315. [DOI] [PubMed] [Google Scholar]
  • 86. Yadav S., “Digital Pathways to Excellence for Bridging Gaps and Building Competencies,” in Holistic Approaches to Teacher Development: Leadership, Pedagogical Practices, and Cognitive Insights: Leadership, Pedagogical Practices, and Cognitive Insights (IGI Global Publication, 2025), 287. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The authors have nothing to report.


Articles from European Journal of Dental Education are provided here courtesy of Wiley

RESOURCES