Artificial intelligence, Boundary, Learner–instructor interaction, Online learning


Artificial intelligence (AI) approaches offer effective support for online learning and teaching, including personalizing learning for students, automation for instructors’ routine tasks, and fueling personalized appraisals of students. However, while the opportunities for AI are promising, the impact of AI systems on the culture of expectations and interactions between students and instructors are still vague. In online learning, learner–instructor interaction has a profound impact on students’ satisfaction and learning outcomes. Therefore, identifying how students and instructors perceive the impact of AI systems on their interaction is important to identify any gaps, challenges, or barriers preventing AI systems from achieving their intended potential and risking the safety of these interactions. This study becomes pertinent especially at a time where the COVID-19 pandemic has changed the education field and how knowledge was being transferred traditionally. As online and remote leaning platforms are being used at a high rate, and due to the lack of research to understand how each party perceives the role Artificial Intelligence plays has provided the need for this original study. For the purposes of this research paper and to address this need we will conduct interviews with 10 graduate online students and 2 instructors on their perception of AI in online learning.

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