Video lectures generated and delivered by the artificial intelligence tool NotebookLM matched human-delivered live lectures in immediate post-test performance across basic and intermediate endodontic topics and produced significantly higher scores on advanced topics among dental interns, according to an interventional study published in BMC Medical Education. The study evaluated whether integrating artificial intelligence into dental education could improve student learning outcomes by comparing traditional live instructional delivery against video lectures created and delivered through NotebookLM, also identified as Gemini Notebook, across three progressively difficult endodontic subjects.
To assess educational effectiveness, two cohorts of dental interns were randomly assigned to receive either live lectures or NotebookLM-generated video instruction covering diagnosis and treatment planning as a basic subject, vital pulp therapy as an intermediate subject, and root resorption as an advanced subject. Both delivery formats utilized identical underlying source materials, which comprised current journal articles, textbooks, and clinical practice guidelines. Following their instructional sessions, all participating interns completed a 15-question multiple-choice assessment designed to measure higher-level thinking skills, alongside self-assessment questionnaires that measured perceived learning outcomes and overall satisfaction.
Post-test examination results showed no statistically significant differences between the instructional groups in the basic diagnosis scenario, where the comparison yielded p = 0.327, or in the intermediate vital pulp therapy scenario, with p = 0.411. However, the artificial intelligence lecture group scored significantly higher on the advanced root resorption examination, achieving an average score of 87.8% compared to 83.0% in the live lecture group (p = 0.029). Interns who viewed the AI lectures also reported significantly higher engagement regarding the logical flow of the presentation (p = 0.041) and the relevance of the topic to their training (p = 0.024), while favoring the AI format for delivery style, content for note preparation, overall satisfaction, post-lecture confidence on the topic, clinical application capability, clarification of complex concepts, and fulfillment of learning objectives (all p ≤ 0.012). Conversely, self-reported distraction was significantly higher in the AI group, standing at 74.5% compared to 38.3% in the live instruction cohort (p = 0.003), while all remaining questionnaire measures demonstrated no significant differences between the two cohorts.
The authors concluded that NotebookLM video lectures matched live instruction on immediate post-test performance for diagnosis and vital pulp therapy while yielding higher scores for root resorption, though they cautioned that this performance advantage may be topic-specific. The researchers noted that participating interns reported an overall favorable experience on self-assessment questionnaires. They highlighted that future investigations could examine the efficacy of student-AI educator interactions during interactive sessions as well as assess long-term knowledge retention among dental trainees.
Subject of Research: Evaluation of NotebookLM-generated video lectures versus traditional live lectures in dental intern education
Article Title: Comparative evaluation of the effectiveness of NotebookLM-generated and delivered lectures for dental interns: an interventional study
Article References: Hamdan, M., Jadhav, G. R., Mittal, P., Priya, G., Abullais, S. S., Syed, S., & Zarbah, M. (2026). Comparative evaluation of the effectiveness of NotebookLM-generated and delivered lectures for dental interns: an interventional study. BMC Medical Education. https://doi.org/10.1186/s12909-026-10738-1
Image Credits: AI Generated
DOI: 10.1186/s12909-026-10738-1
Keywords: NotebookLM, dental education, endodontics, artificial intelligence, interventional study, dental interns, educational technology, lecture effectiveness, Comparative, evaluation, effectiveness, NotebookLM-generated
News Source: Courtney Benton. (November 11, 2026). AI-Generated Lectures Match Live Teaching in Dental Intern Training Study. Scienmag.
