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Title |
AI versus human-designed exam questions in undergraduate dental education: A randomized controlled study
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Authors |
Preeti Mankar1,*, Deepti Vijay Mankar2, Saara Khiyani3, Manish Kumar4, Varunraj Jadhav5 & Saloni P Shah6
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Affiliation |
1Department of Prosthodontics, Crown and Bridge & Implantology, Nanded Rural Dental College & Research Centre, Nanded, Maharashtra, India; 2Department of Pathology, American University School of Medicine, Aruba; 3Department of Conservative Dentistry and Endodontics, Guru Gobind Singh Dental College, Burhanpur, India; 4Department of Prosthodontics, Teerthanker Mahaveer Dental College and Research Centre, Bagadpur, Uttar Pradesh, India; 5Department of Prosthodontics and Crown & Bridge, Yogita Dental College and Hospital, (Khed), Ratnagiri, India; 6Department of Prosthodontics, Esic Dental College and Hospital, Kalaburagi, India; *Corresponding author
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Preeti Mankar - E-mail: mankarisin@gmail.com
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Article Type |
Research Article
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Date |
Received November 15, 2025; Revised December 15, 2025; Accepted December 15, 2025, Published December 15, 2025
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Abstract |
The comparison of the effectiveness and fairness between AI-generated and human-designed exam questions in the context of undergraduate dental education is relevant. Therefore, it is of interest to examine the use of AI-generated versus human-designed exam questions in undergraduate dental education. A randomized controlled trial involving 289 students was conducted to compare the effectiveness and fairness of both formats. Results showed no significant difference in overall student performance between the two groups. However, students preferred human-designed questions for their clarity and familiarity. Thus, the role of AI-generated exam questions in undergraduate dental education compared to traditional human-designed questions remains a challenge. |
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Keywords |
AI-generated questions, assessment, dental education, exam questions, human-designed questions
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Citation |
Mankar et al. Bioinformation 21(12): 4701-4705 (2025)
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Edited by |
Ritik Kashwani
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
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