Dental Students’ Learning Experience: Artificial Intelligence vs Human Feedback on Assignments
Objective: This study evaluated the effectiveness of an AI-based tool (ChatGPT-4) (AIT) vs a human tutor (HT) in providing feedback on dental students’ assignments. Methods: A total of 194 answers to two histology questions were assessed by both tutors using the same rubric. Students compared feedba...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-02-01
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Series: | International Dental Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S002065392401640X |
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Summary: | Objective: This study evaluated the effectiveness of an AI-based tool (ChatGPT-4) (AIT) vs a human tutor (HT) in providing feedback on dental students’ assignments. Methods: A total of 194 answers to two histology questions were assessed by both tutors using the same rubric. Students compared feedback from both tutors and evaluated its accuracy against a standard rubric. Students’ perceptions were collected on five dimensions of feedback quality. A subject expert also evaluated feedback provided by the two tutors for 40 randomly selected answers. Results: No significant differences were found in total scores between HT and AIT for one question, but a significant difference was noted for Question 2 and overall scores. Students’ perceptions showed no differences regarding understanding mistakes, promoting critical thinking, feedback comprehension, or relevance. However, students felt more comfortable with HT feedback (X2 = 9.01, P < .05). In contrast, expert evaluation highlighted that AIT scored higher in identifying mistakes, with significant differences in clarity (W = 40.5, P < .001) and suggestions for improvement (W = 96.5, P < .001). Conclusion: AIT demonstrates significant potential to complement HT by providing detailed feedback in a shorter timeframe. While students did not perceive differences in feedback quality, expert analysis identified AIT as superior in clarity and suggestions for improvement. |
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ISSN: | 0020-6539 |