Development of an AI-Based Adaptive Learning Model to Enhance Student Engagement in Digital Learning Environments
Keywords:
Adaptive Learning, Artificial Intelligence, Student Engagement, Personalized Learning, Learning AnalyticsAbstract
Student engagement remains a critical challenge in contemporary education, particularly in digital and hybrid learning environments where traditional instructional approaches often fail to accommodate individual learner differences. This study aims to develop and evaluate an AI-based adaptive learning model to enhance student engagement through personalized and data-driven learning experiences. Grounded in Artificial Intelligence and Educational Technology, the research employs a Research and Development (R&D) approach using the ADDIE model, combined with a quasi-experimental design involving experimental and control groups. Participants consisted of secondary or higher education students, with data collected through questionnaires, observation sheets, and system logs to measure behavioral, emotional, and cognitive engagement. The developed system integrates a hybrid AI model combining a recommendation system and predictive analytics to adapt learning content, pacing, and feedback based on real-time student interaction data. Data analysis was conducted using descriptive and inferential statistics, along with machine learning evaluation metrics such as accuracy, precision, recall, and F1-score. The results indicate a significant improvement in student engagement in the experimental group compared to the control group, reflected in increased participation, longer time-on-task, enhanced motivation, and more consistent learning behaviors. The system also demonstrates high predictive accuracy and efficient responsiveness, enabling real-time adaptation without disrupting the learning process. This study contributes by proposing a novel adaptive learning framework that integrates real-time engagement analytics with pedagogically grounded AI mechanisms. The findings suggest that AI-based adaptive learning can transform passive learning environments into interactive, personalized, and student-centered experiences, offering practical implications for improving engagement and learning outcomes in the digital era.
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