Azadeh and Guy on AI

AI Skeptics or Cautious Critics?

20 min · 20. Mai 2026
Episode AI Skeptics or Cautious Critics? Cover

Beschreibung

Season 3 kicks off with Azadeh and Guy diving into one of the hottest topics in education right now: AI resistance. Drawing on four recent international studies from Latvia, Ukraine, Italy, and a multi-country survey, they unpack why students push back on generative AI — and it’s not mostly about ethics. Knowledge gaps, distrust of AI accuracy, and lack of training top the list. They also explore how gender, academic discipline, and national culture shape AI adoption in higher education. If you work with students navigating AI tools, this episode offers research-backed insight you won’t want to miss. Prohorovs, A., Užule, K., & Tsaryk, O. (2026). Understanding higher education students' reluctance to adopt GenAI in learning in Latvia and Ukraine. Frontiers in Education. https://doi.org/10.3389/feduc.2025.1676900 [Authors: TUM research group, Technical University of Munich] (2024). AI advocates and cautious critics: How AI attitudes, AI interest, use of AI, and AI literacy build university students’ AI self-efficacy. Computers and Education: Artificial Intelligence, 100340. https://doi.org/10.1016/j.caeai.2024.100340 Farinosi, M., & Melchior, C. (2025). To adopt or to ban? Student perceptions and use of generative AI in higher education. Humanities and Social Sciences Communications, 12, 1684. https://doi.org/10.1057/s41599-025-05982-7 Alpizar-Chacon, I., Keuning, H., De Jong, I., et al. (2025). Excited, skeptical, or worried? A multi-institutional study of student views on generative AI in computing education. Proceedings of the 25th Koli Calling International Conference on Computing Education Research. https://doi.org/10.1145/3769994.3770008 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit guyonai.substack.com [https://guyonai.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

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Alle Folgen

31 Folgen

Episode Can AI Really Replace Teachers? Cover

Can AI Really Replace Teachers?

Is AI the future of personalized learning, or are we falling for Silicon Valley hype? In this episode, Azadeh and Guy dig into two high-profile AI education experiments: Alpha Schools, which promise accelerated learning in just two hours a day, and Khanmigo, Khan Academy's AI tutoring chatbot. They trace the roots of the AI tutoring promise back to Benjamin Bloom's two-sigma problem and scrutinize whether the evidence holds up. From student surveillance to teacher burnout, they unpack why AI integration in education is harder than it looks, and why human teachers aren't going anywhere. Tune in for an honest, research-grounded take on AI in education. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit guyonai.substack.com [https://guyonai.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

Gestern25 min
Episode New Studies on AI, Emotions, and Student Learning Gains Cover

New Studies on AI, Emotions, and Student Learning Gains

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 [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 [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 [https://doi.org/10.3389/fpsyg.2026.1848745] This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit guyonai.substack.com [https://guyonai.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

3. Juni 202626 min
Episode AI Skeptics or Cautious Critics? Cover

AI Skeptics or Cautious Critics?

Season 3 kicks off with Azadeh and Guy diving into one of the hottest topics in education right now: AI resistance. Drawing on four recent international studies from Latvia, Ukraine, Italy, and a multi-country survey, they unpack why students push back on generative AI — and it’s not mostly about ethics. Knowledge gaps, distrust of AI accuracy, and lack of training top the list. They also explore how gender, academic discipline, and national culture shape AI adoption in higher education. If you work with students navigating AI tools, this episode offers research-backed insight you won’t want to miss. Prohorovs, A., Užule, K., & Tsaryk, O. (2026). Understanding higher education students' reluctance to adopt GenAI in learning in Latvia and Ukraine. Frontiers in Education. https://doi.org/10.3389/feduc.2025.1676900 [Authors: TUM research group, Technical University of Munich] (2024). AI advocates and cautious critics: How AI attitudes, AI interest, use of AI, and AI literacy build university students’ AI self-efficacy. Computers and Education: Artificial Intelligence, 100340. https://doi.org/10.1016/j.caeai.2024.100340 Farinosi, M., & Melchior, C. (2025). To adopt or to ban? Student perceptions and use of generative AI in higher education. Humanities and Social Sciences Communications, 12, 1684. https://doi.org/10.1057/s41599-025-05982-7 Alpizar-Chacon, I., Keuning, H., De Jong, I., et al. (2025). Excited, skeptical, or worried? A multi-institutional study of student views on generative AI in computing education. Proceedings of the 25th Koli Calling International Conference on Computing Education Research. https://doi.org/10.1145/3769994.3770008 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit guyonai.substack.com [https://guyonai.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

20. Mai 202620 min
Episode NETA Conference Preview Cover

NETA Conference Preview

Guy is flying solo this episode (kinda), joined by Kimberly Ingram Beck from the CS4NE podcast, for a lively preview of the NEETA Spring Conference. Together, they highlight must-see sessions on K-8 computer science frameworks, cybersecurity tips for all educators, and a thought-provoking "Beyond Chatbots" session encouraging students to think critically about AI-generated content. Guy also previews exciting student poster research on AI-produced science texts and international technology use. Whether you're attending or just curious about K-12 AI education and computer science trends, this episode gives you a front-row look at what educators are buzzing about. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit guyonai.substack.com [https://guyonai.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

29. Apr. 20267 min
Episode Conference Insights Cover

Conference Insights

What’s the real buzz around AI in education at major academic conferences? In this episode, Azadeh and Guy debrief from two key gatherings—the SITE conference in Philadelphia and AERA in Los Angeles—sharing candid observations about where AI research in education actually stands. From AI in rural communities to using generative AI for grade-level science texts, they reveal what conversations are happening in hallways and poster sessions that aren’t making it to the main stage. If you want an honest look at the current state of AI in education research and where the field is headed, this episode is your inside track. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit guyonai.substack.com [https://guyonai.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

22. Apr. 202612 min