Evaluation of ChatGPT as a New Assessment Tool in Dental Education
Abstract Background: Chat-generative pretrained transformer (ChatGPT) has the potential to offer personalized, effective learning experiences for students, creating realistic virtual simulations for hands-on learning. Objectives: Assessment of efficiency of ChatGPT against subject experts for assess...
Saved in:
Published in | Journal of Indian Academy of Oral Medicine and Radiology Vol. 36; no. 3; pp. 259 - 263 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
India
Wolters Kluwer - Medknow
01.07.2024
Medknow Publications and Media Pvt. Ltd Medknow Publications & Media Pvt. Ltd Wolters Kluwer Medknow Publications |
Edition | 2 |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Abstract
Background:
Chat-generative pretrained transformer (ChatGPT) has the potential to offer personalized, effective learning experiences for students, creating realistic virtual simulations for hands-on learning.
Objectives:
Assessment of efficiency of ChatGPT against subject experts for assessment in BDS curriculum.
Methods:
A descriptive cross-sectional study was conducted among students of a dental college, in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology guidelines. A self-administered, validated questionnaire was used for Short Answer Questioning (SAQ) and critical questioning. Group comparison was done through an independent sample t-test and statistical significance through the Pearson Chi-square test. A P value of <0.05 was considered significant.
Results:
The mean score obtained by Group 1 in SAQs was 4.61 ± 0.28, and for Group 2, it was 4.37 ± 0.26. A higher mean score was seen in Group 1 as compared to Group 2, but this difference was not statistically significant (P > 0.05). At the same time, group comparison for critical reasoning revealed that the mean score obtained by Group 1 in critical reasoning was 4.68 ± 0.24, and for Group 2, it was 2.09 ± 1.10. The difference in mean scores between the two groups was statistically significant.
Conclusion:
Instead of treating artificial intelligence as a threat, dental educators need to adapt teaching and assessments in dental education for the benefit of learners while mitigating its dishonest use. |
---|---|
Bibliography: | Address for correspondence: Dr. Anagha Shete, D. Y. Patil Dental School, Lohegaon, Pune, Maharashtra, India. E-mail: dranaghashete@yahoo.com ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0972-1363 0975-1572 |
DOI: | 10.4103/jiaomr.jiaomr_62_24 |