Integrating AI chatbots in teaching: A case study on enhancing students' information technology competence

Abstract

Recent years have seen a growing trend in research on artificial intelligence (AI)-powered chatbots as innovative tools in education and training, highlighting their potential to personalize learning and support learner autonomy. This study examines the transformative potential of AI-powered chatbots in reshaping education by fostering autonomous, self-directed learning. It explores how chatbots move beyond interactive engagement to enable deeper, independent learning experiences. A threefold research approach was adopted. First, a comprehensive review of AI-driven teaching methodologies was conducted. Second, chatbot frameworks were designed to enhance self-paced and personalized learning. Third, the effectiveness of these frameworks was empirically tested through experimental learning environments involving 43 education experts and 320 students. Expert surveys were used to identify essential self-learning competencies, which informed the design of chatbot-supported pedagogical strategies tailored to diverse educational needs. The results reveal that AI-powered chatbots significantly enhance student engagement and promote independent learning. Their ability to provide real-time feedback, personalized support, and adaptive pacing contributes to improved academic performance and learning outcomes. These findings demonstrate that chatbots can play a central role in fostering learner autonomy and transforming traditional educational models. This research underscores the value of integrating AI chatbots into modern teaching practices. Educators and institutions can leverage chatbot technologies to create more personalized, scalable, and effective learning environments that empower students to take greater ownership of their learning processes.