The Culture Compute Podcast
Sai Gattupalli
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Top 10 The Culture Compute Podcast Episodes
Goodpods has curated a list of the 10 best The Culture Compute Podcast episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to The Culture Compute Podcast for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite The Culture Compute Podcast episode by adding your comments to the episode page.
Episode 5: Origins of Creativity and Math Education Innovation
The Culture Compute Podcast
08/18/24 • 31 min
Show Notes: In this episode of the Culture Compute podcast, we explore two studies from the fields of neuroscience, math education, and education technology. Joined by special guest Will Lee from the UMass Amherst Computer Science department, who is a PhD graduate student by day and a software engineer by night, we delve into fascinating research on the neural origins of creativity and innovative approaches to mathematics education in the digital age.
In this episode, we discuss:
- The role of the default mode network (DMN) in creative thinking and its implications for learning
- How the brain's creative processes could inform educational technology design
- Innovative use of Google Slides for enhancing math problem-solving skills in elementary education
- The potential of student-designed math problems to deepen understanding and engagement
References:
- Bartoli, E., et al. (2024). Default mode network electrophysiological dynamics and causal role in creative thinking. Brain. https://doi.org/10.1093/brain/awae199
- Maloy, R. W., Gattupalli, S., & Edwards, S. A. (2024). Students Design Problem-Solving Slideshows. Mathematics Teacher: Learning and Teaching PK-12 (MTLT). https://doi.org/10.5951/MTLT.2023.0215
Get in touch for Inquiries and Engagements. Email: sgattupalli at umass dot edu Website: https://culturecomputepod.com Research Portfolio: https://www.gattupalli.com/
Until next time.
6 Listeners
Ep. 6: Quantum Education Online & Redefining Computer Science Stereotypes
The Culture Compute Podcast
08/19/24 • 12 min
In this episode, we explore two groundbreaking studies reshaping our understanding of education in the digital age.
We dive into the world of quantum information science, examining how complex topics can be effectively taught online to high school educators. What strategies make virtual professional development successful, even for advanced scientific concepts?
We also challenge long-held stereotypes in computer science education. How do today's youth perceive the 'ideal' computer science student, and what does this mean for inclusivity in tech fields?
Plus, we discuss the implications of these findings for educators, policymakers, and students alike.
- Virtual professional development for quantum information science
- Changing perceptions of computer science students
- Implications for inclusive STEM education
Research reviewed in this episode:
- Matsler, K. J., Lopez, R., & Singh, C. (2024). Applying Classroom Practices Learned from Virtual Professional Development During a Pandemic. The Physics Teacher, 62(1), 41. DOI: http://dx.doi.org/10.1119/5.0107084
- Wong, B., Hamer, J. M. M., Copsey-Blake, M., & Kemp, P. E. J. (2024). Is being clever enough? Young people's construction of the ideal student in computer science education. Educational Review. DOI: http://dx.doi.org/10.1080/00131911.2024.2379430
- Smith, H., Closser, A. H., Ottmar, E., & Arroyo, I. (2020). Developing math knowledge and computational thinking through game play and design: A professional development program. Contemporary Issues in Technology and Teacher Education, 20(4), 660-686. https://www.learntechlib.org/p/215216/
Send your questions or comments about this podcast, or anything related to learning sciences and educational technology to sgattupalli at umass dot edu.
Host: Sai Gattupalli Music: Liborio Conti
1 Listener
Beware of Metacognitive Laziness: The Role of Generative AI in Learning
The Culture Compute Podcast
12/18/24 • 25 min
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.
1 Listener
Review of Cukurova's Vision for the Future of AI in Education - Hybrid Intelligence
The Culture Compute Podcast
09/09/24 • 18 min
Show Notes
In this episode, host Sai Gattupalli explores the future of AI in education, discussing a recent paper by Dr. Mutlu Cukurova on hybrid intelligence in educational contexts, published in the British Journal of Educational Technology in August 2024. APA reference below.
Episode Highlights:
- Congratulations to students from Zilla Parishad High School in Bhiknoor, India, for their STEM fair participation
- Introduction to Dr. Mutlu Cukurova's work on AI in education
- Three conceptualizations of AI in education:
- AI as a tool to externalize human cognition
- AI models that can be internalized to influence human mental models
- AI as an extension of human cognition in hybrid intelligence systems
Key Topics Discussed:
- Hybrid intelligence in education
- Cultural aspects of AI in education
- Socio-psychological barriers to AI adoption
Resources Discussed:
- 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
- STEM Showcase at Zilla Parishad High School, Bhiknoor, India: https://sites.google.com/umass.edu/vc2024/
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.
Advanced Learning Technologies Lab
Connect with me:
Email: sgattupalli at umass dot edu
Until next time.
1 Listener
Navigating the AI Revolution in Education: Ethics, Creativity, and the Future of Learning with Torrey Trust, PhD
The Culture Compute Podcast
09/18/24 • 28 min
Welcome to the 10th episode of The Culture Compute podcast! We're thrilled to have a special guest today, Dr. Torrey Trust, Professor of Learning Technologies at the University of Massachusetts Amherst. Dr. Trust is not only a leading expert in the field but also my PhD advisor. Her insights on AI ethics in education are invaluable as we navigate this rapidly evolving landscape.
Guest: Dr. Torrey Trust, Professor of Learning Technologies, University of Massachusetts Amherst
Key Topics Discussed:
- Trust's AI Syllabus Policy Statement
- Broader implications for human creativity and higher order thinking
- Creativity and over-reliance of generative AI in education
Paper Review: "Ethical content in artificial intelligence systems: A demand explained in three critical points" by Ana Luize Corrêa Bertoncini and Mauricio C. Serafim. APA reference below.
Key takeaways discussed:
- Need for multidisciplinary approach to AI in education
- Importance of maintaining ethical standards as AI becomes more prevalent
- Balancing AI benefits with potential ethical challenges
Links and References:
Torrey Trust, PhD, Professor of Learning Technologies
AI Syllabus Policy Statement: https://docs.google.com/document/d/1caSLk2JM40K4tdQHlLRwftYVGM6k8z0ZA2J12SwLhtU/edit?usp=sharing
Torrey Trust, PhD https://www.torreytrust.com/
Bertoncini, A. L. C., & Serafim, M. C. (2023). Ethical content in artificial intelligence systems: A demand explained in three critical points. Frontiers in Psychology, 14, 1074787. https://doi.org/10.3389/fpsyg.2023.1074787
Connect with Sai Gattupalli
Learning Technologies Researcher
Email: [email protected]
Music by Liborio Conti
Subscribe to The Culture Compute podcast on your favorite platform. Free and open access.
Until next time, keep computing culture.
Writing in the Digital Age: A Conversation with Dr. Aaron Tillman
The Culture Compute Podcast
10/23/24 • 60 min
Show Notes:
In this episode, Dr. Aaron Tillman, Associate Director of the Writing Program at the University of Massachusetts Amherst, discusses the evolution of writing instruction in the digital age. We explore:
- The intersection of traditional writing and digital literacy
- Flexible and inclusive course design in higher education
- The role of AI in writing education
- The importance of multimodal composition in modern writing instruction
- UMass Writing Program's transition to open educational resources (OER)
Dr. Tillman shares insights from his experience as both an academic writing instructor and creative writer, offering valuable perspectives on how writing continues to shape our understanding of culture, technology, and education.
Featured Guest: Dr. Aaron Tillman Associate Director, Writing Program University of Massachusetts Amherst Website: https://www.aarontillmanfiction.com/
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.
The Impact of App Store Rankings and Game-Based Pedagogies on Educational Technology
The Culture Compute Podcast
08/22/24 • 11 min
Show Notes:
In this episode of the Culture Compute podcast, we explore recent research on educational technology and its implications for teachers and students:
- Educational App Selection: I discuss a study examining how user ratings and app store rankings influence educators' selection of educational apps. The research reveals surprising preferences and biases in the app selection process.
- Game-Based Learning in Science: I delve into research on different game-based pedagogies in science education, comparing serious game-based learning with learning by making games. The study offers insights into how students' gaming habits affect their learning outcomes.
- Implications for Education: Considering the broader implications of these studies for educational technology, teacher training, and student engagement in the digital age.
References for science nerds:
- Liptrot, E., Pearson, H. A., Montazami, A., & Dubé, A. K. (2024). Why this app? How user ratings and app store rankings impact educators' selection of educational apps. Computers & Education, 218, 105080. https://doi.org/10.1016/j.compedu.2024.105080
- Ding, A. C. E., & Yu, C. H. (2024). Serious game-based learning and learning by making games: Types of game-based pedagogies and student gaming hours impact students' science learning outcomes. Computers & Education, 218, 105075. https://doi.org/10.1016/j.compedu.2024.105075
More episodes on CultureComputePod.com
Host: Sai Gattupalli Music by: Liborio Conti
For more information or to suggest topics for future episodes, please email sgattupalli at umass dot edu.
The Future of Digital Tutors: Unraveling the Complexities of Pedagogical Agent Design in K-12 Education
The Culture Compute Podcast
10/06/24 • 18 min
Episode Overview: In this episode, host Sai Gattupalli explores a recent systematic review on pedagogical agent design for K-12 education, published in Computers & Education. The study, conducted by Zhang et al., offers crucial insights into the effectiveness and future directions of digital tutors in educational technology.
Key Points Discussed:
- Introduction to pedagogical agents and their role in modern education
- Overview of the systematic review methodology and scope
- Key findings on learner preferences and their impact on learning outcomes
- The importance of implementing effective teaching strategies in pedagogical agents
- Gaps in current research, particularly regarding cultural responsiveness and learner characteristics
- Implications for future research and development in educational technology
Featured Research: Zhang, S., Jaldi, C.D., Schroeder, N.L., López, A.A., Gladstone, J.R., & Heidig, S. (2024). Pedagogical agent design for K-12 education: A systematic review. Computers & Education, 223, 105165. https://doi.org/10.1016/j.compedu.2024.105165
Special Announcements:
- AI for Equality Datathon and workshops, hosted by UMass Amherst's National Data Science Organization chapter and HerWill, from October 8-27, 2024. Read more on my Linkedin post.
- Opportunity for students (Grade 10 and up) to learn data science skills and potentially be featured on the podcast.
Connect with the Show: Email: [email protected]
Credits: Host: Sai Gattupalli Music: Liborio Conti
Thank you for listening to The Culture Compute podcast. Don't forget to subscribe for more insights at the intersection of culture, technology, and education.
Review of Yan et al.'s Insights on Generative AI in Education
The Culture Compute Podcast
11/13/24 • 20 min
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.
Related Episodes:
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.
Episode 2: Mayer's Multimedia Learning Theory
The Culture Compute Podcast
07/26/24 • 11 min
In this episode of The Culture Compute podcast, we dive deep into the groundbreaking work of Richard E. Mayer and his Cognitive Theory of Multimedia Learning (CTML). Discover how our brains process information in the digital age and what it means for the future of education.
Key topics covered:
- Introduction to Richard E. Mayer and his contributions to educational psychology
- The three core assumptions of the Cognitive Theory of Multimedia Learning
- Practical examples of how CTML applies to everyday learning experiences
- Key principles for designing effective multimedia instruction
- The future of multimedia learning research
Whether you're an educator, student, or lifelong learner, this episode offers valuable insights into optimizing learning in our multimedia-rich world.
Featured Paper: "The Past, Present, and Future of the Cognitive Theory of Multimedia Learning" by Richard E. Mayer
APA Reference for science buffs:
Mayer, R.E. The Past, Present, and Future of the Cognitive Theory of Multimedia Learning. Educ Psychol Rev 36, 8 (2024). https://doi.org/10.1007/s10648-023-09842-1
Connect with me: Have questions or suggestions for future topics? Reach out to host Sai Gattupalli at [email protected]
About the host: Sai Gattupalli is a PhD candidate in the Department of Math, Science and Learning Technologies at the University of Massachusetts Amherst. His research focuses on bridging the gap between culture, technology, and education.
Subscribe to The Culture Compute podcast for more insights into learning in the digital age!
#MultimediaLearning #EducationalPsychology #DigitalEducation #CognitiveScience
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FAQ
How many episodes does The Culture Compute Podcast have?
The Culture Compute Podcast currently has 15 episodes available.
What topics does The Culture Compute Podcast cover?
The podcast is about Podcasts and Science.
What is the most popular episode on The Culture Compute Podcast?
The episode title 'Episode 5: Origins of Creativity and Math Education Innovation' is the most popular.
What is the average episode length on The Culture Compute Podcast?
The average episode length on The Culture Compute Podcast is 22 minutes.
How often are episodes of The Culture Compute Podcast released?
Episodes of The Culture Compute Podcast are typically released every 9 days, 11 hours.
When was the first episode of The Culture Compute Podcast?
The first episode of The Culture Compute Podcast was released on Jul 17, 2024.
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