This analysis compares AI and human writing quality in restorative dentistry essays, highlighting differences in evaluation accuracy and content organization.
Aim This study compared the writing quality of AI‐ and student‐authored essays, evaluated faculty members' reliability to differentiate between essays authored by AI and students, and assessed the scoring accuracy between human and AI raters using a standardised rubric. Methods Four topics were selected from a preclinical operative and aesthetic dentistry course. Each topic was presented as four essays authored by two students and two AI tools (ChatGPT4 and Gemini) ( N = 48). Then, the 16 essays were evaluated either by three blinded experts and two AI tool raters (ChatGPT4 and Gemini) using a modified Universal Science Writing Rubric. The Shapiro–Wilk W test assessed data normality. Kruskal‐Wallis, Dunn's Pairwise, Wilcoxon Signed‐rank, and Friedman tests analysed the writing performances and inter‐rater reliabilities with a significance level of ( α = 0.05). Results Significant differences were found in evaluating scientific content ( Z = 9.28, p = 0.005) and interpreting scientific content ( Z = 6.74, p = 0.021) between AI‐ and student‐authored essays. ChatGPT4‐authored essays differed significantly in scientific content from both Gemini‐ and student‐authored essays, with further differences in interpretation between ChatGPT4‐ and student‐authored essays ( p = 0.011). Faculty members correctly identified 75% of essay authors. No significant differences were found between raters using ChatGPT4 or Gemini, while a marginally significant difference was observed between human raters in the overall score, though not in specific parameters. Conclusions Gemini's scores closely matched those of human‐authored essays, aligning more with human raters than ChatGPT‐4. AI's capacity emulated human writing, though differences are noticeable to trained faculty members. There are evident disparities in content quality and organisation between AI‐ and human‐authored work.
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Al‐Zain et al. (2025) studied this question.
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