Taking play and tinkering seriously in AI education: cases from Drag vs AI teen workshops

References

• AJL (Algorithmic Justice League). n.d. “Drag Vs AI. Algorithmic Justice League.” Algorithmic Justice League. Accessed November 15, 2021a. https://www.ajl.org/drag-vs-ai.
   Google Scholar
• Akinrinade, Ireti, and Joan Mukogosi. 2021. “Strategic Knowledge: Teens Use ‘Algorithmic Folklore’ to Crack TikTok’s Black Box.” Data & Society: Points (blog). July 14, 2021. https://points.datasociety.net/strategic-knowledge-6bbddb3f0259.
   Google Scholar
• Aki Tamashiro, Mariana, Maarten Van Mechelen, Marie-Monique Schaper, and Ole Sejer Iversen. 2021. “Introducing Teenagers to Machine Learning Through Design Fiction: An Exploratory Case Study.” In Interaction Design and Children, 471–475. Athens, Greece: ACM. doi:10.1145/3459990.3465193.
   Google Scholar
• Andrejevic, Mark, and Neil Selwyn. 2020. “Facial Recognition Technology in Schools: Critical Questions and Concerns.” Learning, Media and Technology 45 (2): 115–128. doi:10.1080/17439884.2020.1686014.
   Web of Science ®Google Scholar
• Archer, Louise, Angela M. Calabrese Barton, Emily Dawson, Spela Godec, Ada Mau, and Uma Patel. 2022. “Fun Moments or Consequential Experiences? A Model for Conceptualising and Researching Equitable Youth Outcomes from Informal STEM Learning.” Cultural Studies of Science Education, February, doi:10.1007/s11422-021-10065-5.
   PubMed Web of Science ®Google Scholar
• Atenas, Javiera, Helen Beetham, Frances Bell, Catherine Cronin, Jade Vu Henry, and Sukaina Walji. 2022. “Feminisms, Technologies and Learning: Continuities and Contestations.” Learning, Media and Technology 47 (1): 1–10. doi:10.1080/17439884.2022.2041830.
   Web of Science ®Google Scholar
• Benjamin, Ruha. 2018. Race After Technology: Abolitionist Tools for the New Jim Code. Cambridge, UK: Polity Press.
   Google Scholar
• Berendt, Bettina, Allison Littlejohn, and Mike Blakemore. 2020. “AI in Education: Learner Choice and Fundamental Rights.” Learning, Media and Technology 45 (3): 312–324. doi:10.1080/17439884.2020.1786399.
   Web of Science ®Google Scholar
• Buechley, Leah. 2017. “Maker Education for All, Diverse Practices= Diverse Communities.” https://www.learntechlib.org/primary/p/177828/.
   Google Scholar
• Buolamwini, Joy, and Timnit Gebru. 2018. “Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification.” Proceedings of the Machine Learning Research Conference on Fairness, Accountability, and Transparency 81 (1): 77–91. http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a.pdf.
   Google Scholar
• Buolamwini, Joy, Vicente Ordóñez, Jamie Morgenstern, and Erik Learned-Miller. 2020. Facial Recognition Technologies: A Primer. Algorithmic Justice League. https://assets.websitefiles.com/5e027ca188c99e3515b404b7/5ed1002058516c11edc66a14_FRTsPrimerMay2020.pdf.
   Google Scholar
• Costanza-Chock, Sasha. 2020. “Introduction: #TravelingWhileTrans, Design Justice, and Escape from the Matrix of Domination.” In Design Justice. Urbanowski, doi:10.7551/mitpress/12255.003.0004.
   Google Scholar
• Cotter, Kelley Marie. 2020. “Critical Algorithmic Literacy: Power, Epistemology, And Platforms.” Doctoral dissertation, Michigan State University.
   Google Scholar
• Craig, Shelley L., Lauren B. McInroy, Ami Goulden, and Andrew D. Eaton. 2021. “Engaging the Senses in Qualitative Research via Multimodal Coding: Triangulating Transcript, Audio, and Video Data in a Study With Sexual and Gender Minority Youth.” International Journal of Qualitative Methods 20 (January): 160940692110136. doi:10.1177/16094069211013659.
   Google Scholar
• DeVito, M. A. 2021. “Adaptive Folk Theorization as a Path to Algorithmic Literacy on Changing Platforms.” Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2): 1–38. doi:10.1145/3476080.
   PubMedGoogle Scholar
• DeVito, Michael A., Jeremy Birnholtz, Jeffery T. Hancock, Megan French, and Sunny Liu. 2018. “How People Form Folk Theories of Social Media Feeds and What It Means for How We Study Self-Presentation.” In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 1–12. Montreal QC Canada: ACM. doi:10.1145/3173574.3173694.
   Google Scholar
• Dietz, Griffin, Jennifer King Chen, Jazbo Beason, Matthew Tarrow, Adriana Hilliard, and R. Benjamin Shapiro. 2022. “ARtonomous: Introducing Middle School Students to Reinforcement Learning Through Virtual Robotics.” In Interaction Design and Children, 430–441. Braga, Portugal: ACM. doi:10.1145/3501712.3529736.
   Google Scholar
• Dixon-Román, Ezekiel, T. Philip Nichols, and Ama Nyame-Mensah. 2020. “The Racializing Forces of/in AI Educational Technologies.” Learning, Media and Technology 45 (3): 236–250. doi:10.1080/17439884.2020.1667825.
   Web of Science ®Google Scholar
• Druga, Stefania, Sarah T. Vu, Eesh Likhith, and Tammy Qiu. 2019. “Inclusive AI Literacy for Kids Around the World.” In Proceedings of FabLearn 2019, 104–111. New York, NY, USA: ACM. doi:10.1145/3311890.3311904.
   Google Scholar
• Eslami, Motahhare, Aimee Rickman, Kristen Vaccaro, Amirhossein Aleyasen, Andy Vuong, Karrie Karahalios, Kevin Hamilton, and Christian Sandvig. 2015. “‘I Always Assumed That I Wasn’t Really That Close to [Her]’: Reasoning about Invisible Algorithms in News Feeds.” In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 153–162. Seoul Republic of Korea: ACM. doi:10.1145/2702123.2702556.
   Google Scholar
• Gutiérrez, Kris D, Krista Cortes, Arturo Cortez, Daniela DiGiacomo, Jennifer Higgs, Patrick Johnson, José Ramón Lizárraga, Elizabeth Mendoza, Joanne Tien, and Sepehr Vakil. 2017. “Replacing Representation With Imagination: Finding Ingenuity in Everyday Practices.” Review of Research in Education 41 (1): 30–60. doi:10.3102/0091732X16687523.
   Web of Science ®Google Scholar
• Gutiérrez, Kris D., Jennifer Higgs, José Ramón Lizárraga, and Edward Rivero. 2019. “Learning as Movement in Social Design-Based Experiments: Play as a Leading Activity.” Human Development 62 (1–2): 66–82. doi:10.1159/000496239.
   Web of Science ®Google Scholar
• Hammon, Kelsey. 2020. “Lafayette Library’s Drag Queen Story Hour Sparks Support and Outrage.” Longmont Times-Call, January 4, 2020. https://www.timescall.com/2020/01/04/lafayette-librarys-drag-queen-story-hour-sparks-support-and-outrage-saturday/.
   Google Scholar
• Hautea, Samantha, Sayamindu Dasgupta, and Benjamin Mako Hill. 2017. “Youth Perspectives on Critical Data Literacies.” In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 919–930. CHI ‘17. New York, NY, USA: Association for Computing Machinery. doi:10.1145/3025453.3025823.
   Google Scholar
• Hitron, Tom, Yoav Orlev, Iddo Wald, Ariel Shamir, Hadas Erel, and Oren Zuckerman. 2019. “Can Children Understand Machine Learning Concepts?: The Effect of Uncovering Black Boxes.” In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1–11. Glasgow Scotland Uk: ACM. doi:10.1145/3290605.3300645.
   Google Scholar
• Holbert, Nathan, Michael Dando, and Isabel Correa. 2020. “Afrofuturism as Critical Constructionist Design: Building Futures from the Past and Present.” Learning, Media and Technology 45 (4): 328–344. doi:10.1080/17439884.2020.1754237.
   Web of Science ®Google Scholar
• Knox, Jeremy. 2020. “Artificial Intelligence and Education in China.” Learning, Media and Technology 45 (3): 298–311. doi:10.1080/17439884.2020.1754236.
   Web of Science ®Google Scholar
• Ko, Amy J., and Stefania Druga. n.d. “Artificial Intelligence.” In Critically Conscious Computing: Methods for Secondary Education, edited by Amy J. Ko, Anne Beitlers, Brett Wortzman, Matt Davidson, Alannah Oleson, Mara Kirdani-Ryan, and Stefania Druga. Accessed May 31, 2022. https://criticallyconsciouscomputing.org/.
   Google Scholar
• Lee, Clifford H., Nimah Gobir, Alex Gurn, and Elisabeth Soep. 2022. ““In the Black Mirror: Youth Investigations Into Artificial Intelligence.” ACM Transactions on Computing Education.” April 3484495. doi:10.1145/3484495.
   Google Scholar
• Lee, Clifford H., and Elisabeth Soep. 2016. “None But Ourselves Can Free Our Minds: Critical Computational Literacy as a Pedagogy of Resistance.” Equity & Excellence in Education 49 (4): 480–492. doi:10.1080/10665684.2016.1227157.
   Web of Science ®Google Scholar
• Lenhart, Amanda, and Kellie Owens. 2021. “The Unseen Teen: The Challenges of Building Healthy Tech for Young People.” Data & Society. https://datasociety.net/wpcontent/uploads/2021/05/The-Unseen-Teen-.pdf.
   Google Scholar
• Long, Duri, Aadarsh Padiyath, Anthony Teachey, and Brian Magerko. 2021. “The Role of Collaboration, Creativity, and Embodiment in AI Learning Experiences.” Creativity and Cognition, 1–10. Virtual Event Italy: ACM. doi:10.1145/3450741.3465264.
   Google Scholar
• Macgilchrist, Felicitas, John Potter, and Ben Williamson. 2021. “Shifting Scales of Research on Learning, Media and Technology.” Learning, Media and Technology 46 (4): 369–376. doi:10.1080/17439884.2021.1994418.
   Web of Science ®Google Scholar
• Maloney, John, Kylie Peppler, Yasmin B Kafai, Mitchel Resnick, and Natalie Rusk. 2008. “Programming by Choice: Urban Youth Learning Programming with Scratch.” In Proceedings of the 39th SIGCSE Technical Symposium on Computer Science Education (SIGCSE’08), 367–371.
   Google Scholar
• McStay, Andrew. 2020. “Emotional AI and EdTech: Serving the Public Good?” Learning, Media and Technology 45 (3): 270–283. doi:10.1080/17439884.2020.1686016.
   Web of Science ®Google Scholar
• Miller, Jen A. 2019. “Biometrics in Schools to Yield Security Benefits and Privacy Concerns.” EdTech Magazine, May 7, 2019. https://edtechmagazine.com/k12/article/2019/05/biometrics-schools-yield-security-benefits-and-privacy-concerns.
   Google Scholar
• Nick, Stacy. 2019. “Windsor Library’s Drag Queen Story Hour Gets Protests, Support.” KUNC, January 12, 2019. https://www.kunc.org/arts-life/2019-01-12/windsor-librarys-drag-queen-story-hour-gets-protests-support.
   Google Scholar
• Obermeyer, Ziad, Brian Powers, Christine Vogeli, and Sendhil Mullainathan. 2019. “Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations.” Science 366: 447–453. doi:10.1126/science.aax2342
   PubMed Web of Science ®Google Scholar
• O’Neil, Cathy. 2016. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. New York: Crown; Penguin Random House.
   Google Scholar
• Paladino, Jason, and Steve Reilly. 2022. “Patriot Front and Pride: How Right-Wing Influencers Are Driving Extremists to Real-World Violence.” Grid, June 17, 2022. https://www.grid.news/story/politics/2022/06/17/how-right-wing-influencers-are-driving-extremists-to-target-pride-events/.
   Google Scholar
• Papert, S. 1980. Mindstorms: Children, Computers, and Powerful Ideas. New York, NY: Basic books.
   Google Scholar
• Paré, Dylan. 2021. “A Critical Review and New Directions for Queering Computing and Computing Education.” In Oxford Research Encyclopedia of Education, edited by Dylan Paré. Oxford University Press. doi:10.1093/acrefore/9780190264093.013.1524.
   Google Scholar
• Philip, Thomas, and Pratim Sengupta. 2021. “Theories of Learning as Theories of Society: A Contrapuntal Approach to Expanding Disciplinary Authenticity in Computing.” Journal of the Learning Sciences 30 (2): 330–349. doi:10.1080/10508406.2020.1828089.
   Web of Science ®Google Scholar
• Resnick, Mitchel, ed. 2017. “Creative Society.” In Lifelong Kindergarten: Cultivating Creativity Through Projects, Passion, Peers, and Play, The MIT Press. doi:10.7551/mitpress/11017.003.0008.
   Google Scholar
• Resnick, Mitchel, and Eric Rosenbaum. 2013. “Designing for Tinkerability.” In Design, Make, Play: Growing the Next Generation of STEM Innovators, edited by Margaret Honey, and David Kanter, 1st Edition, 163–181. Book, Whole. New York, NY: Routledge. https://go.exlibris.link/6m8dtwlm.
   Google Scholar
• Richterich, Annika. 2022. “Hackerspaces as Technofeminist Sites for Experiential Learning.” Learning, Media and Technology 47 (1): 11–25. doi:10.1080/17439884.2021.2018604.
   Web of Science ®Google Scholar
• Rios, Jennifer. 2020. “Broomfield’s ‘Drag Queen Story Time’ Met with Support, Protest.” Broomfield Enterprise, February 29, 2020. https://www.broomfieldenterprise.com/2020/02/29/broomfields-drag-queen-story-time-met-with-support-protest/.
   Google Scholar
• Sakulkueakulsuk, Bawornsak, Siyada Witoon, Potiwat Ngarmkajornwiwat, Pornpen Pataranutaporn, Werasak Surareungchai, Pat Pataranutaporn, and Pakpoom Subsoontorn. 2018. “Kids Making AI: Integrating Machine Learning, Gamification, and Social Context in STEM Education.” In 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), 1005–1010. Wollongong, NSW: IEEE. doi:10.1109/TALE.2018.8615249.
   Google Scholar
• Schacht, Zoe. 2022. “Colorado Drag Queen Events Face Online Hate and Protests, Leading to Cancellations.” Colorado Newsline, June 24, 2022. https://coloradonewsline.com/2022/06/24/drag-queen-story-times-face-online-hate-and-protests-leading-to-cancellations/.
   Google Scholar
• Selwyn, Neil, Liz Campbell, and Mark Andrejevic. 2022. “Autoroll: Scripting the Emergence of Classroom Facial Recognition Technology.” Learning, Media and Technology, February, 1–14. doi:10.1080/17439884.2022.2039938.
   Google Scholar
• Selwyn, Neil, Luci Pangrazio, Selena Nemorin, and Carlo Perrotta. 2020. “What Might the School of 2030 Be Like? An Exercise in Social Science Fiction.” Learning, Media and Technology 45 (1): 90–106. doi:10.1080/17439884.2020.1694944.
   Web of Science ®Google Scholar
• Stornaiuolo, Amy. 2020. “Authoring Data Stories in a Media Makerspace: Adolescents Developing Critical Data Literacies.” Journal of the Learning Sciences 29 (1): 81–103. doi:10.1080/10508406.2019.1689365.
   Web of Science ®Google Scholar
• Turkle, Sherry, and Seymour Papert. 1990. “Epistemological Pluralism: Styles and Voices within the Computer Culture,” 32.
   Google Scholar
• Tzou, Carrie, Enrique Suárez, Philip Bell, Don LaBonte, Elizabeth Starks, and Megan Bang. 2019. “Storywork in STEM-Art: Making, Materiality and Robotics Within Everyday Acts of Indigenous Presence and Resurgence.” Cognition and Instruction 37 (3): 306–326. doi:10.1080/07370008.2019.1624547.
   Web of Science ®Google Scholar
• Vakil, Sepehr. 2018. “Ethics, Identity, and Political Vision: Toward a Justice-Centered Approach to Equity in Computer Science Education.” Harvard Educational Review 88 (1): 26–52. doi:10.17763/1943-5045-88.1.26.
   Web of Science ®Google Scholar
• Vossoughi, Shirin, and Bronwyn Bevan. 2014. Making and Tinkering: A Review of the Literature. Washington, DC: Successful Out-of-School STEM Learning: A Consensus Study, Board on Science Education, National Research Council. http://sites.nationalacademies.org/cs/groups/dbassesite/documents/webpage/dbasse_089888.pdf.
   Google Scholar
• Vossoughi, Shirin, Meg Escudé, Walter Kitundu, and Manuel Luis Espinoza. 2021. “Pedagogical ‘Hands and Eyes’: Embodied Learning and the Genesis of Ethical Perception.” Anthropology & Education Quarterly 52 (2): 135–157. doi:10.1111/aeq.12382.
   Web of Science ®Google Scholar
• Vossoughi, ShirinDr, Meg Escudé, Fan Kong, and Dr Paula Hooper. 2013. “Tinkering, Learning & Equity in the After-School Setting,” 8.
   Google Scholar
• Willett, Rebekah. 2018. “Learning through Making in Public Libraries: Theories, Practices, and Tensions.” Learning, Media and Technology 43 (3): 250–262. doi:10.1080/17439884.2017.1369107.
   Web of Science ®Google Scholar
• Williams, Robert. 2021. “Did Nothing Wrong. I Was Arrested Anyway.” ACLU, July 15, 2021. https://www.aclu.org/news/privacy-technology/i-did-nothing-wrong-i-was-arrested-anyway.
   Google Scholar
• Yosso, Tara J. 2005. “Whose Culture Has Capital? A Critical Race Theory Discussion of Community Cultural Wealth.” Race Ethnicity and Education 8 (1): 69–91. doi:10.1080/1361332052000341006.
   Google Scholar
• YR Media’s Interactive Team and Stanford d.school. 2020. “Erase Your Face.” Interactive - YR Media. October 20, 2020. https://interactive.yr.media/erase-your-face/.
   Google Scholar
• Zakharova, Irina, and Juliane Jarke. 2022. “Educational Technologies as Matters of Care.” Learning, Media and Technology 47 (1): 95–108. doi:10.1080/17439884.2021.2018605.
   Web of Science ®Google Scholar
• Zembylas, Michalinos. 2021. “A Decolonial Approach to AI in Higher Education Teaching and Learning: Strategies for Undoing the Ethics of Digital Neocolonialism.” Learning, Media and Technology, November, 1–13. doi:10.1080/17439884.2021.2010094.
   Google Scholar
• Zhou, Xiaofei, Jessica Van Brummelen, and Phoebe Lin. 2020. “Designing AI Learning Experiences for K-12: Emerging Works, Future Opportunities and a Design Framework.” arXiv. http://arxiv.org/abs/2009.10228.
   Google Scholar
• Zimmermann-Niefield, Abigail, Shawn Polson, Celeste Moreno, and R. Benjamin Shapiro. 2020. “Youth Making Machine Learning Models for Gesture-Controlled Interactive Media.” In Proceedings of the Interaction Design and Children Conference, 63–74. London United Kingdom: ACM. doi:10.1145/3392063.3394438.
   Google Scholar
• Zimmermann-Niefield, Abigail, Makenna Turner, Bridget Murphy, Shaun K. Kane, and R. Benjamin Shapiro. 2019. “Youth Learning Machine Learning through Building Models of Athletic Moves.” In Proceedings of the 18th ACM International Conference on Interaction Design and Children, 121–132. Boise ID USA: ACM. doi:10.1145/3311927.3323139.
   Google Scholar