Do emotions matter when students learn with AI? In this episode, Azadeh and Guy dig into three newly published, peer-reviewed studies exploring the relationship between emotions and AI-assisted learning. From chatbot interactions in Singapore classrooms to emotion-aware feedback in Korea, and a sweeping meta-analysis of AI in higher education, the hosts unpack what the research actually shows about AI's emotional impact on learners. Spoiler: humans still hold the advantage when it comes to social-emotional outcomes. If you care about AI in education, student engagement, and evidence-based teaching, this episode is essential listening.

Khor, E. T., & Kapoor, A. (2026). Decoding student–chatbot dialogues: How interaction structure is associated with learning gains in AI-assisted programming. AI in Education, 2(2), 15. https://doi.org/10.3390/aieduc2020015

Park, J. (2026). How learners interpret emotion-aware feedback in AI-supported learning: Evidence from a classroom study. AI in Education, 2(2), 16. https://doi.org/10.3390/aieduc2020016

Liu, C., Xu, G., & Xie, L. (2026). Generative AI in higher education: A meta-analysis of intellectual and social-emotional outcomes. Frontiers in Psychology, 17, 1848745. https://doi.org/10.3389/fpsyg.2026.1848745

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