Beware of Metacognitive Laziness: The Role of Generative AI in Learning

12/18/24 • 25 min

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Welcome to The Culture Compute Podcast! In this episode, I, Sai Gattupalli, explore the fascinating research surrounding generative AI, focusing on its effects on learning motivation, self-regulated learning processes, and performance outcomes. Specifically, I review the 2024 paper "Beware of Metacognitive Laziness" by Fan et al., which introduces the critical concept of metacognitive laziness and raises questions about the role of tools like ChatGPT in reshaping education.

Key Topics Discussed

The emerging concept of metacognitive laziness and its implications for learning.
How generative AI impacts motivation, self-regulation, and performance in education.
The broader interplay between human-AI collaboration in hybrid learning systems.
Practical insights for educators and researchers to harness AI responsibly while promoting deep learning.

References:

Fan, Y., Tang, L., Le, H., Shen, K., Tan, S., Zhao, Y., Shen, Y., Li, X., & Gašević, D. (2024). Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance. British Journal of Educational Technology, 00, 1–42. https://doi.org/10.1111/bjet.13544

Risko, E. F., & Gilbert, S. J. (2016). Cognitive offloading. Trends in Cognitive Sciences, 20(9), 676-688. https://doi.org/10.1016/j.tics.2016.07.002

Alter, A. L., Oppenheimer, D. M., Epley, N., & Eyre, R. N. (2007). Overcoming intuition: Metacognitive difficulty activates analytic reasoning. Journal of Experimental Psychology: General, 136(4), 569. https://psycnet.apa.org/buy/2007-16657-003

Cukurova, M. (2024). The interplay of learning, analytics and artificial intelligence in education: A vision for hybrid intelligence. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13514

Related Podcast Episodes

Episode 9: Ethical and Responsible Use of Generative AI in Education with Torrey Trust, PhD
https://open.spotify.com/episode/4HD2aeFQlVvkqhMkhdupod

About the Culture Compute Podcast

The Culture Compute Podcast explores the intersections of culture, technology, and education, hosted by Sai Gattupalli from the Advanced Learning Technologies Lab at the University of Massachusetts Amherst.
Visit our website: https://culturecomputepod.com/

Original Music by the talented Liborio Conti, sourced from https://www.no-copyright-music.com/.
Additional sounds courtesy of Suno AI.

Connect with Me

Email: [email protected]

Thank you for listening! Until next time, remember—in the world of AI and education, the most powerful intelligence remains human intelligence. Keep questioning, keep learning, and keep computing culture.

Key Topics Discussed

The emerging concept of metacognitive laziness and its implications for learning.
How generative AI impacts motivation, self-regulation, and performance in education.
The broader interplay between human-AI collaboration in hybrid learning systems.
Practical insights for educators and researchers to harness AI responsibly while promoting deep learning.

References:

Risko, E. F., & Gilbert, S. J. (2016). Cognitive offloading. Trends in Cognitive Sciences, 20(9), 676-688. https://doi.org/10.1016/j.tics.2016.07.002

Related Podcast Episodes

Episode 9: Ethical and Responsible Use of Generative AI in Education with Torrey Trust, PhD
https://open.spotify.com/episode/4HD2aeFQlVvkqhMkhdupod

About the Culture Compute Podcast

Original Music by the talented Liborio Conti, sourced from https://www.no-copyright-music.com/.
Additional sounds courtesy of Suno AI.

Connect with Me

Email: [email protected]

Previous Episode

Review of Yan et al.'s Insights on Generative AI in Education

Show Notes:
In this episode, Sai Gattupalli explores a compelling study published in Nature Human Behaviour on the role of generative artificial intelligence (GenAI) in education. Joined by insights from researchers at Monash University, the Technical University of Munich, and the University of Luxembourg, we examine the future-forward implications of GenAI for human learning, focusing on AI literacy, prompt literacy, and ethical considerations. Topics include:

Personalized AI-driven learning experiences
Expanding accessibility through diverse learning resources
Real-time, constructive feedback to enhance student learning
Authentic assessments for real-world skills
Addressing GenAI’s model imperfections and hallucinations
Ethical issues: transparency, privacy, and equity in AI learning tools

Sai also shares a personal update about his mother’s first visit to the United States, reflecting on the value of cultural exchange in education. Join us as we delve into the multifaceted potential of GenAI to reshape human learning responsibly and inclusively.

Referenced Research:
Yan, V., Greiff, S., Teuber, L., & Gašević, D. (2024). Promises and challenges of generative artificial intelligence for human learning. Nature Human Behaviour.

Read the paper here.

Related Episodes:

EdTech Podcast #281 - Risk Assessments for AI Learning Tools: Discussing risk and ethical considerations for AI in education.

Connect with the Culture Compute Podcast:
Email: [email protected]
Website: https://culturecomputepod.com/
Theme Music: Composed by Liborio Conti

Stay tuned for more episodes exploring the intersections of culture, technology, and education in our digital age.

Until next time.

Next Episode

AI, Instructional Design, and the Future of Education – A Conversation with Dr. Dwayne Wood

Show Notes:

In this episode of The Culture Compute Podcast, host Sai Gattupalli is joined by Dr. Dwayne Wood, an educator, instructional designer, and veteran, to explore the evolving role of Generative AI in academic curriculum and instructional design.

Together, they discuss:

The transformative impact of AI on K-12 and higher education
Strategies for implementing multimodal learning techniques for diverse learners
Key adult learning principles and how AI can enhance educational effectiveness
The ethical considerations of AI-generated content in instructional design
The balance between human-centered learning and AI-driven innovation

As we step into 2025, this episode also introduces a new AI-generated theme for the podcast, reflecting the evolving intersection of culture, technology, and education.

Resources Mentioned in the Episode:

Follow Dr. Dwayne Wood on LinkedIn: https://www.linkedin.com/in/dwayne-wood-ed-d-74b1532b/
Lance Eaton’s Syllabi Policies for AI Generative Tools: Google Doc
Torrey Trust’s AI Syllabus Policy Statement: Google Doc

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https://culturecomputepod.com/

Host: Sai Gattupalli