Comparison of Human and Artificial Intelligence (AI) in Writing and Rating Restorative Dentistry Essays.

Journal: European journal of dental education : official journal of the Association for Dental Education in Europe
Published Date:

Abstract

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.

Authors

  • Afnan O Al-Zain
    Department of Restorative Dentistry, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Abdulrahman A Alghamdi
    Department of Restorative Dentistry, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Bashair Alansari
    Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Alanoud Alamoudi
    Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Heba El-Deeb
    Department of Conservative Dentistry, Faculty of Dentistry, Cairo University, Cairo, Egypt.
  • Eman H Isamil
    Department of Clinical Dental Science, College of Dentistry, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.

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