AI Chatbots and the Evolving Landscape of Student Support in Higher Education: A Glimpse into Future Learning

Abstract

The term "artificial intelligence" (AI) is used to describe the study and implementation of computer systems and technologies that may mimic human intellect. Activities such as these include teaching, thinking, and understanding natural language, recognizing patterns, and making decisions. This research examines the impact of artificial intelligence chatbots on student support services in higher education from three angles. The study also viewed at professors' perspectives on AI chatbots and how they affect the design and execution of higher education, as well as student accessibility, responsiveness, and personalized assistance. Thematic analysis was used for flexibility in identifying patterns and themes within qualitative data, aligning with our goal of understanding professors' opinions on AI chatbots' impact on learning and higher education. This research sample includes seven university professors from diverse academic fields. The data was gathered using 45-60 minute in-person and video-based open-ended qualitative interviews. This research found that AI chatbots have transformational potential, technological constraints, ethical challenges, personalization possibilities, and overdependence hazards in several educational sectors. Professors emphasize the need to blend AI chatbots with human aid to improve student support and learning. Adaptability, emotional intelligence, and inclusion and equality may be improved in AI chatbots. AI chatbots have the potential to improve education by fostering learning, diversity, and inclusion; all while maintaining human-like characteristics. The study also recommends improving AI chatbot reliability, addressing digital access gaps, and ethically integrating AI into education.