Comparative Parameters of AI Anxiety, Teacher Competence, Immersive Learning, and Computational Thinking Models in Education

This table compares five recent research papers addressing AI integration, immersive technologies, and computational thinking in educational contexts. It contrasts studies that explore AI anxiety mitigation, ethical AI competence frameworks (IETPACK), augmented reality adoption (ITAM), interactive tools for geometric learning (I3T), and robot-based computational thinking in early education.
Key attributes such as theoretical frameworks, methodological approaches, analysis types, and key findings are highlighted. Together, these works outline the psychological, pedagogical, and technological dimensions of AI-driven learning, emphasizing constructivist learning, teacher readiness, and the importance of scaffolding and innovation in fostering adaptability.