The Culture Compute Podcast

Sai Gattupalli

How is technology reshaping learning in 2025? From AI in classrooms to digital storytelling, The Culture Compute Podcast explores the intersection of culture, technology, and education. Hosted by Sai Gattupalli, a learning sciences researcher at the University of Massachusetts Amherst, we unpack cutting-edge research, challenge assumptions, and discuss the future of learning in an AI-driven world. Big ideas, real-world impact, and the future of education—join us. 🎧 Listen at culturecomputepod.com or wherever you get your podcasts. read less
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Episodes

Converging Perspectives: Redefining Education Through AI Literacy, Algorithmic Authorship, and Interactive Pedagogy
Yesterday
Converging Perspectives: Redefining Education Through AI Literacy, Algorithmic Authorship, and Interactive Pedagogy
In this episode of the Culture Compute Podcast: Learning in the Digital Age, I, Sai Gattupalli from the Advanced Learning Technologies Lab at the University of Massachusetts Amherst, review my personal notes from three recent, peer-reviewed research papers that are reshaping our understanding of educational technology. These studies—published in the British Journal of Educational Technology, Learning, Media and Technology, and a work by Salmaan Khan—offer fresh insights into AI literacy frameworks, the evolving role of algorithmic authorship in academia, and innovative approaches to interactive digital pedagogy.In our discussion, I explore how Chee, Ahn, and Lee’s comprehensive framework for AI literacy provides a developmental pathway that spans from basic digital skills to advanced data-driven decision-making. I reflect on my own journey in learning technology, emphasizing the importance of continuous professional development and robust institutional support.Next, I delve into Gretzky and Dishon’s thought-provoking examination of algorithmic authorship. Their work challenges traditional notions of creativity and intellectual contribution as AI tools increasingly participate in scholarly writing. I share my personal insights on the balance between human ingenuity and machine assistance, a theme that has profound implications for the future of academic work.Finally, I review Salmaan Khan’s study on interactive digital pedagogy, which highlights how adaptive digital platforms can transform classrooms by engaging students as active, collaborative participants. This research underscores the practical benefits of technology when thoughtfully integrated into teaching practices—a vision that resonates deeply with my own experiences in the field.Join me as we synthesize these groundbreaking studies and discuss how their collective insights can redefine teaching and learning in our increasingly digital world.References:Chee, H., Ahn, S., & Lee, J. (2024). A Competency Framework for AI Literacy: Variations by Different Learner Groups and an Implied Learning Pathway. British Journal of Educational Technology. https://bera-journals.onlinelibrary.wiley.com/doi/10.1111/bjet.13556?af=RGretzky, M., & Dishon, G. (2025). Algorithmic-authors in academia: blurring the boundaries of human and machine knowledge production. Learning, Media and Technology. https://www.tandfonline.com/doi/full/10.1080/17439884.2025.2452196Khan, S. (2024). From Passive Receptors to Engaged Participants: Addressing the Limits of Generative AI and Knowledge Sharing in the Digital Age. https://cuny.manifoldapp.org/read/from-passive-receptors-to-engaged-participants-addressing-the-limits-of-generative-ai-and-knowledge-sharing-in-the-digital-age/section/2b6f966a-0830-42bd-b705-3f0ddb26e6a7For inquiries or further discussion, please email sgattupalli@umass.edu. Visit CultureComputePod.com for more information.
Beware of Metacognitive Laziness: The Role of Generative AI in Learning
Dec 18 2024
Beware of Metacognitive Laziness: The Role of Generative AI in Learning
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, PhDhttps://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: sgattupalli@educ.umass.edu 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.
Review of Yan et al.'s Insights on Generative AI in Education
Nov 13 2024
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 experiencesExpanding accessibility through diverse learning resourcesReal-time, constructive feedback to enhance student learningAuthentic assessments for real-world skillsAddressing GenAI’s model imperfections and hallucinationsEthical 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: sgattupalli@umass.eduWebsite: 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 Future of Digital Tutors: Unraveling the Complexities of Pedagogical Agent Design in K-12 Education
Oct 6 2024
The Future of Digital Tutors: Unraveling the Complexities of Pedagogical Agent Design in K-12 Education
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 educationOverview of the systematic review methodology and scopeKey findings on learner preferences and their impact on learning outcomesThe importance of implementing effective teaching strategies in pedagogical agentsGaps in current research, particularly regarding cultural responsiveness and learner characteristicsImplications for future research and development in educational technology Featured Research: Zhang, S., Jaldi, C.D., Schroeder, N.L., LĂłpez, 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: sgattupalli@umass.edu 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. https://culturecomputepod.com/
Navigating the AI Revolution in Education: Ethics, Creativity, and the Future of Learning with Torrey Trust, PhD
Sep 18 2024
Navigating the AI Revolution in Education: Ethics, Creativity, and the Future of Learning with Torrey Trust, PhD
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 CorrĂŞa 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 at Univ. of Massachusetts Amherst AI Syllabus Policy Statement GenAI & Ethics: Investigating ChatGPT, Gemini, & CopilotBertoncini, 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 ⁠me, the host of the Culture Compute Podcast. Sai Gattupalli⁠ Learning Technologies Researcher Email: sgattupalli@umass.edu Music by ⁠Liborio Conti⁠ Subscribe to The Culture Compute podcast on your favorite platform. Free and open access. Until next time, keep computing culture. ⁠CultureComputePod.com
Review of Cukurova's Vision for the Future of AI in Education - Hybrid Intelligence
Sep 9 2024
Review of Cukurova's Vision for the Future of AI in Education - Hybrid Intelligence
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 The importance of developing AI competencies in education Challenges and potential pitfalls of AI in education The future of education: creating symbiosis between human and artificial intelligence 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.  Culture Compute Podcast Advanced Learning Technologies Lab Connect with me: Email: sgattupalli at umass dot edu Until next time.
Understanding Learning Disabilities and Neurodiversity in Learning Sciences
Aug 28 2024
Understanding Learning Disabilities and Neurodiversity in Learning Sciences
This episode delves into the concept of learning disabilities and neurodiversity in learning sciences, challenging traditional perspectives. The discussion covers the impact of various learning disabilities on education, strategies for creating inclusive learning environments, and the role of technology, particularly AI and voice-enabled tools, in supporting diverse learners. Key Topics: Understanding learning disabilities such as dyslexia, dyscalculia, and ADHDThe importance of early identification and interventionStrategies for inclusive education, including multisensory teaching, assistive technology, and Universal Design for Learning (UDL)The potential of adaptive learning systems and voice-enabled AI to support students with learning disabilities References: The Future is Voice: The Days of Websites Are Numbered. https://teachonline.ca/tools-trends/future-voice-days-websites-are-numberedShaywitz, S. E. (1998). Dyslexia. New England Journal of Medicine, 338(5), 307-312. https://doi.org/10.1056/NEJM199801293380507Geary, D. C. (2004). Mathematics and learning disabilities. Journal of Learning Disabilities, 37(1), 4-15. https://doi.org/10.1177/00222194040370010201Berninger, V. W., & Wolf, B. J. (2009). Teaching students with dyslexia and dysgraphia: Lessons from teaching and science. Paul H. Brookes Publishing Co. https://archive.org/details/teachingstudents0000bern/Smith, C., & Strick, L. (1999). Learning disabilities: A to Z: A parent's complete guide to learning disabilities from preschool to adulthood. Simon and Schuster. https://www.google.com/books/edition/Learning_Disabilities_A_to_Z/XepRqqzfIBUC?hl=en&gbpv=0DuPaul, G. J., & Stoner, G. (2014). ADHD in the schools: Assessment and intervention strategies. Guilford Publications. https://www.google.com/books/edition/ADHD_in_the_Schools/e9TSAwAAQBAJ?hl=en&gbpv=1&dq=DuPaul,+G.+J.,+%26+Stoner,+G.+(2014).+ADHD+in+the+schools:+Assessment+and+intervention+strategies.+Guilford+Publications.&pg=PP1&printsec=frontcoverHehir, T., & Katzman, L. I. (2012). Effective inclusive schools: Designing successful schoolwide programs. John Wiley & Sons. https://www.google.com/books/edition/Effective_Inclusive_Schools/fiISd46iBXcC?hl=en&gbpv=1&dq=Hehir,+T.,+%26+Katzman,+L.+I.+(2012).+Effective+inclusive+schools:+Designing+successful+schoolwide+programs.+John+Wiley+%26+Sons.&pg=PR7&printsec=frontcoverRose, D. H., & Meyer, A. (2002). Teaching every student in the digital age: Universal design for learning. Association for Supervision and Curriculum Development. https://a.co/d/33IqGDI Get in Touch: For feedback, questions, or ideas for future episodes, feel free to reach out to Sai Gattupalli at sgattupalli at umass dot edu. Visit our new podcast website: https://culturecomputepod.com/ Until next time, keep computing culture in learning!
The Impact of App Store Rankings and Game-Based Pedagogies on Educational Technology
Aug 22 2024
The Impact of App Store Rankings and Game-Based Pedagogies on Educational Technology
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., & DubĂŠ, 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.
Ep. 6: Quantum Education Online & Redefining Computer Science Stereotypes
Aug 19 2024
Ep. 6: Quantum Education Online & Redefining Computer Science Stereotypes
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 scienceChanging perceptions of computer science studentsImplications 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/10.1119/5.0107084Wong, 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/10.1080/00131911.2024.2379430Smith, 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
Episode 4: Special Episode on the Foundations of Culture
Aug 8 2024
Episode 4: Special Episode on the Foundations of Culture
Show Notes: Join host Sai Gattupalli for a special edition of the Culture Compute podcast as we explore the fundamental concepts of culture and its profound impact on learning and technology in the AI era. In this deep dive, we unpack how anthropologists, sociologists, and psychologists define culture, examine its key components, and understand why cultural intelligence is crucial in our interconnected world. From Edward Tylor's seminal definition to modern interpretations, this episode provides a comprehensive look at the concept that shapes our identities, societies, and technological innovations. In this special episode, we explore: Definitions of culture from anthropological, sociological, and psychological perspectivesKey components of culture: values, beliefs, norms, symbols, language, and technologyCultural universals and their importance in bridging diverse societiesThe impact of culture on education, technology adoption, and innovationA touching story illustrating the power of culturally sensitive technology References: Tylor, E. B. (1871). Primitive Culture: Researches into the Development of Mythology, Philosophy, Religion, Art, and Custom.Darnell, R. (2009). Franz Boas. Culture and Language Use, 2, 41.Durkheim, E. (2016). The elementary forms of religious life. In Social theory re-wired (pp. 52-67). Routledge.Bourdieu, P. (1986). The Forms of Capital.Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes.Hofstede, G. (2001). Culture's Consequences: Comparing Values, Behaviors, Institutions, and Organizations Across NationsBrown, D. E. (2004). Human Universals. Contact Information: Email: sgattupalli at umass dot edu Website: https://culturecomputepod.com Host personal website: https://www.gattupalli.com/ Subscribe to The Culture Compute podcast on your favorite podcast platform to stay updated on the latest episodes exploring the intersections of culture, technology, and learning in our digital age.
Episode 3: Eye-Tracking in Math Education and AI-Generated Exam Answers
Aug 5 2024
Episode 3: Eye-Tracking in Math Education and AI-Generated Exam Answers
In this episode, we explore two groundbreaking studies that highlight the evolving nature of learning and assessment in the era of AI. We discuss how eye-tracking technology is revolutionizing mathematics education and the implications of AI-generated exam answers going undetected by human markers. Announcements about upcoming presentations at the MassCUE Fall Conference 2024Updates on the Upward Bound and Massenburg STEM Institute programsDiscussion of eye-tracking research in mathematics education (see below for DOI)Exploration of a study on AI-generated exam answers (see below for DOI)Reflections on the convergence of culture, education, and technology in the age of AI Eye-Tracking in Mathematics Education (https://doi.org/10.3389/feduc.2024.1386487)AI-Generated Exam Answers Study (https://doi.org/10.1371/journal.pone.0305354) Takeaways and something to think about: How can we use technologies like eye-tracking to create more inclusive learning experiences? In a world where AI can produce high-quality academic work, how do we redefine education and assessment?How can we ensure that technological advancements in education benefit all learners, regardless of their background? Website: culturecomputepod.com Email: sgattupalli@umass.edu Subscribe: Available free on Spotify and Apple Podcasts. About the host: Sai Gattupalli is a learning sciences researcher at the College of Education, University of Massachusetts Amherst. His work focuses on the intersection of culture, technology, and education in the digital age. The Culture Compute podcast reviews only open-access articles in an attempt to promote open science. Join us next week as we continue to explore the fascinating intersections of culture, technology, and learning in our digital age.
Episode 2: Mayer's Multimedia Learning Theory
Jul 26 2024
Episode 2: Mayer's Multimedia Learning Theory
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 psychologyThe three core assumptions of the Cognitive Theory of Multimedia LearningPractical examples of how CTML applies to everyday learning experiencesKey principles for designing effective multimedia instructionThe 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 sgattupalli@umass.edu 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. https://www.gattupalli.com Subscribe to The Culture Compute podcast for more insights into learning in the digital age! #MultimediaLearning #EducationalPsychology #DigitalEducation #CognitiveScience
Episode 1: Digital Learning Landscapes: From AI Tutors to Community Radio
Jul 17 2024
Episode 1: Digital Learning Landscapes: From AI Tutors to Community Radio
In this episode, we explore diverse aspects of digital learning, from AI-powered self-regulated learning to the impact of screen time on children. We examine how community radio builds networks and the potential of ChatGPT in essay scoring. Join us as we unpack these cutting-edge studies and their implications for culture and education in the digital age. Papers reviewed: Ng, D. T. K., Tan, C. W., & Leung, J. K. L. (2024). Empowering student self-regulated learning and science education through ChatGPT: A pioneering pilot study. British Journal of Educational Technology, 55, 1328-1353. https://doi.org/10.1111/bjet.13454 Caballero-Julia, D., MartĂ­n-Lucas, J., & Andrade-Silva, L. E. (2024). Unpacking the relationship between screen use and educational outcomes in childhood: A systematic literature review. Computers & Education, 215, 105049. https://doi.org/10.1016/j.compedu.2024.105049Backhaus, B., Anderson, H., & Bedford, C. (2024). Communities, connections, and careers: building personal and professional networks through community media work. Continuum, 38(1), 124-136. https://doi.org/10.1080/10304312.2024.2344074Bui, N. M., & Barrot, J. S. (2024). ChatGPT as an automated essay scoring tool in the writing classrooms: how it compares with human scoring. Education and Information Technologies. https://doi.org/10.1007/s10639-024-12891-w For questions or suggestions, email me at: sgattupalli@umass.edu. Website: https://www.gattupalli.com/ The Culture Compute Podcast.