Which is more acceptable to students for classroom engagement: "Virtual Avatars" or "Facial Analytics"? Competencies and Design Issues for AI-Powered Online Education's Student-Teacher Interaction

Abstract

As online education increasingly integrates Artificial Intelligence (AI) to enhance learning experiences, this study delves into the intricate dynamics between students and teachers in AI-powered virtual classrooms. Recognizing the potential of AI in personalized learning, automated assessments, and instructional support, the research explores the nuanced perspectives of both educators and students. The multifaceted impact of AI on learner-teacher interactions is investigated, encompassing concerns about privacy, algorithmic bias, and the potential erosion of critical thinking skills. To comprehend the immediate emotions evoked by AI scenarios, storyboards were employed, providing insights into perceptions of intrusiveness. This study contributes significantly to the field by outlining potential scenarios for future investigations, summarizing the benefits and drawbacks of AI in online learning, and emphasizing the importance of inclusive design and implementation considerations. By addressing the concerns of both students and professors, the research strives to pave the way for a comprehensive understanding of AI's role in shaping the future of online education. The study underscores the need for further research to bridge gaps and overcome impediments, ensuring AI systems realize their full potential in transforming virtual classrooms.