Evaluating the Feasibility of ChatGPT in Dental Morphology Education: A Pilot Study on AI-Assisted Learning in Dental Morphology
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Background: This study was conducted to evaluate the potential of using ChatGPT in dental morphology education. Dental morphology is a fundamental subject in dental education that enables students to understand the structure and function of teeth, which is necessary for accurate diagnosis and treatment planning. Recently, artificial intelligence (AI) technology has gained attention as an educational support tool, and large language models like ChatGPT hold great potential to facilitate learners’ understanding through real-time interaction. Methods: This study involved asking GPT-4 questions from the national dental hygiene exam’s dental morphology section from 2021 to 2023, followed by an analysis of its response accuracy. Results: The results showed that GPT-4 demonstrated high accuracy in some questions but lacked consistency depending on the difficulty and content of the questions. Specifically, GPT-4 was found to struggle with understanding complex tooth morphology and detailed academic concepts. Conclusion: These findings suggest that ChatGPT could be a useful educational tool in dental morphology education, although supplementary educational adjustments are necessary. Future research should explore developing a learning environment where AI and educators collaborate to address AI limitations and enhance students’ learning motivation and comprehension.
Abstract
Background: This study was conducted to evaluate the potential of using ChatGPT in dental morphology education. Dental morphology is a fundamental subject in dental education that enables students to understand the structure and function of teeth, which is necessary for accurate diagnosis and treatment planning. Recently, artificial intelligence (AI) technology has gained attention as an educational support tool, and large language models like ChatGPT hold great potential to facilitate learners’ understanding through real-time interaction. Methods: This study involved asking GPT-4 questions from the national dental hygiene exam’s dental morphology section from 2021 to 2023, followed by an analysis of its response accuracy. Results: The results showed that GPT-4 demonstrated high accuracy in some questions but lacked consistency depending on the difficulty and content of the questions. Specifically, GPT-4 was found to struggle with understanding complex tooth morphology and detailed academic concepts. Conclusion: These findings suggest that ChatGPT could be a useful educational tool in dental morphology education, although supplementary educational adjustments are necessary. Future research should explore developing a learning environment where AI and educators collaborate to address AI limitations and enhance students’ learning motivation and comprehension.
참고문헌 (17)
- Alhaidry HM, "ChatGPT in dentistry : a comprehensive review", Cureus, 15, pp.e38317~ (2023)[DOI]
- Thurzo A, "Impact of artificial intelligence on dental education : a review and guide for curriculum update", Educ Sci, 13, pp.150~ (2023)
- Talan T, "The role of artificial intelligence in higher education : ChatGPT assessment for anatomy course", Int J Manag Inf Syst Comput Sci, 7, pp.33~40 (2023)[DOI]
- Choudhary OP, "ChatGPT for veterinary anatomy education : an overview of the prospects and drawbacks", Int J Morphol, 41, pp.1198~1202 (2023)
- Totlis T, "The potential role of ChatGPT and artificial intelligence in anatomy education : a conversation with ChatGPT", Surg Radiol Anat, 45, pp.1321~1329 (2023)[DOI]
- Abu Eid R, "Self-directed study and carving tooth models for learning tooth morphology : perceptions of students at the University of Aberdeen, Scotland", J Dent Educ, 77, pp.1147~1153 (2013)[DOI]
- Overskott HL, "Different methods of teaching and learning dental morphology", Dent J (Basel), 12, pp.114~ (2024)[DOI]
- Kellesarian SV, "Flipping the dental anatomy classroom", Dent J (Basel), 6, pp.23~ (2018)[DOI]
- Kurian N, "AI is now everywhere", Br Dent J, 234, pp.72~ (2023)[DOI]
- Mohammad-Rahimi H, "Deep learning for caries detection : a systematic review", J Dent, 122, pp.104115~ (2022)[DOI]
- Urban R, "AI-assisted CBCT data management in modern dental practice : benefits, limitations and innovations", Electronics, 12, pp.1710~ (2023)[DOI]
- Huang H, "ChatGPT for shaping the future of dentistry : the potential of multi-modal large language model", Int J Oral Sci, 15, pp.29~ (2023)[DOI]
- Ohta K, "The performance of GPT-3. 5, GPT-4, and Bard on the Japanese national dentist examination : a comparison study", Cureus, 15, pp.e50369~ (2023)[DOI]
- Suárez A, "Unveiling the ChatGPT phenomenon : evaluating the consistency and accuracy of endodontic question answers", Int Endod J, 57, pp.108~113 (2024)[DOI]
- Saluja S, "Capabilities and limitations of ChatGPT in anatomy education : an interaction with ChatGPT", Cureus, 16, pp.e69000~ (2024)[DOI]
- Huh S, "Are ChatGPT’s knowledge and interpretation ability comparable to those of medical students in Korea for taking a parasitology examination? : a descriptive study", J Educ Eval Health Prof, 20, pp.1~ (2023)[DOI]