Effectiveness of Chatbot-Assisted Learning in Real Dental Student Cohorts: A Systematic Review, Exploratory Meta-analysis, and Functional Narrative Synthesis

Authors

  • Eliana Pineda-Vélez Doctorate in Diversity Education Program, Universidad de Manizales, Manizales 170003, Colombia. Basic Sciences Department, Biomedical Stomatology Research Group, Faculty of Dentistry, Universidad de Antioquia U de A, Medellín 050010, Colombia. Faculty of Dentistry, Institución Universitaria Visión de las Américas, Medellín 050040, Colombia. Author https://orcid.org/0000-0002-2431-7489
  • Diego Villada-Osorio Doctorate in Diversity Education Program, Universidad de Manizales, Manizales 170003, Colombia. Author https://orcid.org/0000-0002-3365-4022
  • Carlos M. Ardila Basic Sciences Department, Biomedical Stomatology Research Group, Faculty of Dentistry, Universidad de Antioquia U de A, Medellín 050010, Colombia. Department of Periodontics, Saveetha Dental College, and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 600077, India. Author https://orcid.org/0000-0002-3663-1416

DOI:

https://doi.org/10.15517/v53g9z81

Keywords:

Chatbot-assisted learning; Dental education; Artificial intelligence in dentistry; Systematic review; Meta-analysis.

Abstract

Artificial intelligence chatbots are increasingly being incorporated into dental education, but their effectiveness in real student cohorts remains uncertain. This systematic review, meta-analysis, and functional narrative synthesis evaluated the educational impact of chatbot-assisted learning interventions in dental students, focusing on student performance, self-efficacy, and domain-specific applications. A systematic search of PubMed/MEDLINE, Scopus, and Embase was conducted for studies published up to May 2026. Eligible studies included real dental students exposed to chatbot-assisted educational interventions and assessed using explicit comparators or meaningful pre-post designs. Risk of bias was assessed with RoB 2.0 and the JBI checklist, and certainty of evidence was evaluated using GRADE. Eight studies involving 716 undergraduate dental students were included in the qualitative synthesis, and two studies were included in an exploratory meta-analysis. The pooled estimate favored chatbot-assisted learning over comparator conditions for overall student educational performance (SMD=0.62, 95% CI: 0.37 to 0.87; I²=0%), although this finding should be interpreted cautiously because only two studies were pooled and they assessed different manifestations of educational performance. Certainty of evidence was low. Functional narrative synthesis identified four educational domains: knowledge acquisition and academic performance; clinical reasoning and diagnostic communication; operative and procedural skill support; and academic writing, evidence handling, and reflective tasks. Chatbot-assisted learning appears promising, but current evidence remains limited, heterogeneous, and context-dependent.

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Published

2026-08-07