Generative AI-driven personalization of the Community of Inquiry model: enhancing individualized learning experiences in digital classrooms

Purpose This paper explores the integration of generative artificial intelligence (GenAI) into the Community of Inquiry (CoI) framework, focusing on how GenAI can dynamically personalize online learning environments. The study aims to examine how GenAI can enhance social, cognitive and teaching presence, thus meeting the diverse needs of individual learners and improving engagement in digital classrooms. Design/methodology/approach The paper employs a conceptual approach, building on existing literature about the CoI framework and GenAI. It proposes a theoretical model that illustrates how GenAI can personalize social, cognitive and teaching presence in real-time, using engagement patterns, performance data and feedback mechanisms to adapt learning pathways for individual students. Findings The study finds that GenAI can significantly enhance personalized learning by dynamically adjusting the CoI framework’s elements. GenAI-driven interactions improve student engagement through personalized prompts and adaptive content delivery, while AI-generated feedback provides timely and individualized support, fostering a more responsive and student-centered learning experience. Practical implications For educators, the integration of GenAI into the CoI framework offers scalable solutions for personalized instruction and feedback. Institutions can leverage AI-driven insights to create more adaptive, learner-centered environments that improve learning outcomes, satisfaction and engagement, especially in large-scale online courses. Social implications The paper highlights the potential for AI-driven education to bridge gaps in personalized learning, promoting equity and inclusivity. However, it also addresses ethical concerns such as data privacy, algorithmic bias and the digital divide, urging careful implementation to ensure that AI enhances rather than undermines educational fairness. Originality/value This paper provides a novel perspective on the intersection of GenAI and the CoI framework, proposing a unique conceptual model for AI-enhanced online education. It offers valuable insights for educators, researchers and institutions aiming to create more personalized, effective and inclusive digital learning environments.