The Heart in the Machine: Exploring Digital Empathy and “Artificial Presence” in AI-Supported Relational Teaching

Abstract

As artificial intelligence becomes more common in today’s educational settings, students started to interact with AI tutors not just as learning tools, but as systems that appear emotionally responsive. This study examines the ideas of digital empathy and artificial presence, how well AI can mimic emotional understanding and a sense of connection, and explores how these factors influence student motivation when compared with traditional human instruction. Using a mixed-methods comparative approach, the study investigates whether an AI tutor’s simulated empathy can maintain student motivation at levels similar to those fostered by a human teacher. Quantitative data on motivation and engagement are combined with qualitative interviews that capture students’ emotional experiences and their sense of connection while learning. In doing so, the study addresses a key tension in modern education, while AI can improve efficiency and offer non-judgmental learning environments, it may also weaken the human relationships that are central to meaningful teaching and learning. The findings aim to guide ethical and thoughtful integration of AI in higher education and contribute to ongoing discussions about relational teaching in the age of intelligent systems. This research advocates for a balanced approach, one in which AI supports instructional tasks, while human educators remain essential for care, mentorship, and genuine human connection to bridge the gap between code and care.

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