AUTHOR=Edquén Barboza Wilmer Alexander , Carlos Flores Ramirez Roberto , Luna Villanueva Jhon Marcos , Ramirez Pezo Yngue Elizabeth , Lévano Danny , Casildo-Bedón Nancy Esther 
  
TITLE=Application of artificial intelligence to measure attention levels in university students
  
JOURNAL=Frontiers in Education
  
VOLUME=Volume 11 - 2026
  
YEAR=2026
  
URL=https://www.frontiersin.org/journals/education/articles/10.3389/feduc.2026.1753873
  
DOI=10.3389/feduc.2026.1753873
  
ISSN=2504-284X
  
ABSTRACT=ObjectiveTo evaluate the effect of an AI-assisted attentional monitoring system on the perception of class dynamism and the self-assessment of attention among university students.MethodsA quasi-experimental design was employed with 160 students divided into an experimental group, which attended classes with attentional monitoring and real-time feedback provided to the teacher, and a control group, which received traditional instruction. Perception of attention and dynamism was assessed pre- and post-intervention using the AIDA questionnaire.ResultsThe experimental group exhibited significant increases in perceived class dynamism and attentional self-regulation compared to the control group (p < 0.05), demonstrating improved engagement during the session.ConclusionAI-assisted immediate feedback was associated with enhanced attention and student participation, highlighting the potential of such tools to support and strengthen teaching dynamics in in-person educational settings.