Exploring the Impact of Artificial Intelligence (AI) on Learner-Instructor Interaction in Online Learning (Literature Review)

The utilisation of Artificial Intelligence (AI) technology has caused remarkable changes that have taken place in the educational landscape. Through the integration of AI in online learning systems, an entirely new educational experience has been introduced, altering the ways learners and educators can interact. The emergence and evolution of AI technology have increased efficiency and productivity, enhancing teaching and learning outcomes. AI in online learning provides a distinct advantage by providing real-time feedback to learners. Traditional learning environments often suffer from the limitation of delayed feedback, impeding learners’ progress and demotivating them. However, AI-powered online learning systems excel in delivering immediate feedback to learners, enabling them to promptly identify and rectify mistakes and enhance their performance in real-time. This timely feedback fosters a supportive learning environment that encourages learners to engage in the learning process actively. The research by Vanlehn, Lynch, Schulze, Shapiro, Shelby, Taylor et al. (2005) on the Andes physics tutoring system serves as a valuable resource for understanding the lessons learned from utilising AI to support learner-instructor interaction. In contrast to traditional learning environments that offer delayed feedback, impeding the progress of learners and possibly dampening their motivation, AI-powered online learning systems provide real-time feedback. With real-time feedback, learners can instantly correct mistakes and improve their performance, thereby advancing their learning outcomes (Zhou & Mei, 2021). This literature review explores the impact of AI on learner-instructor interaction in online learning environments. The review considers how AI technology enhances and diversifies the learning process, focusing on personalised learning, real-time feedback provision, and content delivery.