Humanizing the Machine Student Psychological Responses to AI-Generated Feedback in Online Education
Abstract
This chapter explores how students psychologically respond to AI-generated feedback in asynchronous online courses. As generative tools become more integrated into digital learning environments, students are increasingly receiving guidance from non-human sources—raising new questions about motivation, trust, and perceived value. Anchored in theories of motivation, human-computer interaction, and emotional intelligence, this chapter investigates how AI feedback influences student engagement, cognitive load, and self-efficacy. It also examines the emotional nuances of tone, personalization, and student-AI trust. Practical strategies are offered to help educators use AI as a humanizing tool, rather than a distancing one—ensuring students feel seen, supported, and motivated in their learning. This chapter aims to balance innovation with empathy and offer actionable ways to build psychological connection in a tech-driven learning environment.
Fields of Study & Subjects
Artificial Intelligence in Education
Intelligent Tutoring Systems and Adaptive Learning
Online and Blended Learning
Publication details
- Journal / source
- Advances in computational intelligence and robotics book series
- Pages
- 289–318
- Publication date
- 5 February 2026
- Document type
- Book chapter