The Curio Cabinet

The EdTech Curio Cabinet – Season 4 Core References
Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30. https://doi.org/10.1257/jep.29.3.3
Bloom, B. S. (1984). The 2 sigma problem: The search for methods of group instruction as effective as one-to-one tutoring. Educational Researcher, 13(6), 4–16. https://doi.org/10.3102/0013189X013006004
Brown, P. C., Roediger III, H. L., & McDaniel, M. A. (2014). Make it stick: The science of successful learning. Harvard University Press.
Buolamwini, J., & Gebru, T. (2018). Gender shades: Intersectional accuracy disparities in commercial gender classification. In S. A. Friedler & C. Wilson (Eds.), Proceedings of the 1st Conference on Fairness, Accountability and Transparency (Vol. 81, pp. 77–91). PMLR.
Clark, A., & Chalmers, D. J. (1998). The extended mind. Analysis, 58(1), 7–19. https://doi.org/10.1093/analys/58.1.7
Dewey, J. (1934). Art as experience. Minton, Balch & Company.
Eisner, E. W. (2002). The arts and the creation of mind. Yale University Press.
Fox, K. C. R., Andrews-Hanna, J. R., & Christoff, K. (2016). The neurobiology of self-generated thought: Integrating evidence from lesion studies, human intracranial electrophysiology, neurochemistry, and neuroendocrinology. Neuroscience & Biobehavioral Reviews, 68, 174–186. https://doi.org/10.1016/j.neubiorev.2016.02.006
Gardner, H. (1993). Creating minds: An anatomy of creativity seen through the lives of Freud, Einstein, Picasso, Stravinsky, Eliot, Graham, and Gandhi. Basic Books.
Harari, Y. N. (2018). 21 lessons for the 21st century. Spiegel & Grau.
Li, F.-F. (2023). The worlds I see: Curiosity, exploration, and discovery at the dawn of AI. Flatiron Books.
Luckin, R. (2018). Machine learning and human intelligence: The future of education for the 21st century. UCL Institute of Education Press.
Mori, M. (2012). The uncanny valley (K. F. MacDorman & N. Kageki, Trans.). IEEE Robotics & Automation Magazine, 19(2), 98–100. (Original work published 1970). https://doi.org/10.1109/MRA.2012.2192811
Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. New York University Press.
Reeves, B., & Nass, C. (1996). The media equation: How people treat computers, television, and new media like real people and places. Cambridge University Press.
Schön, D. A. (1983). The reflective practitioner: How professionals think in action. Basic Books.
Sparrow, B., Liu, J., & Wegner, D. M. (2011). Google effects on memory: Cognitive consequences of having information at our fingertips. Science, 333(6043), 776–778. https://doi.org/10.1126/science.1207745
Turkle, S. (2011). Alone together: Why we expect more from technology and less from each other. Basic Books.
Vygotsky, L. S. (1987). Thinking and speech (N. Minick, Trans.). Plenum Press. (Original work published 1934)

 Summary — The Last Human Skill
 
One line: As machines close in on intelligence, the last — and most important — human skill is judgment.
 
Artifact — Machines That Generate Knowledge: AI systems that don't just retrieve but produce knowledge, explanations, and solutions.
Pattern — Technological Revolutions Change Human Priorities: Each revolution (industrial, computing, internet) shifted which human skills societies value most.
Paradox — The Closer Machines Move Toward Intelligence, the More Human Learning May Matter: Abundant machine intelligence makes discernment, adaptability, and authentic human perspective more precious.
Signal — Education as the Cultivation of Human Judgment: Education's purpose reframes from transmitting scarce information to cultivating wise navigation of complexity.
Closing — Closing the Curio Cabinet The series closes where it began: technology keeps changing, but the deepest patterns of learning endure — and curiosity remains the thread that ties four seasons of curios together.
 
Education technology evolves quickly.
But the patterns of learning change slowly.
That’s why we keep the cabinet open.
Thanks for exploring The EdTech Curio Cabinet.
Do you have thoughts regarding this Curio you would like to share?
Send us an email to curiosteward@gmail.com
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Summary — The Synthetic Companion
One line: AI can simulate empathy and companionship in learning, which paradoxically makes real human relationships more valuable.
Artifact — Conversational AI as Social Interface: AI companions offering judgment-free practice, feedback, and support at scale.
Pattern — Learning Has Always Been Social: Learning has always developed through relationships, community, and belonging.
Paradox — Simulated Empathy May Increase the Value of Human Relationships: AI can convincingly perform supportive language, but simulation isn't lived understanding.
Signal — Educators as Builders of Intellectual Belonging: Teachers' role in creating genuine communities of belonging becomes more central, not less.
 
Education technology evolves quickly.
But the patterns of learning change slowly.
That’s why we keep the cabinet open.
Thanks for exploring The EdTech Curio Cabinet.
Do you have thoughts regarding this Curio you would like to share?
Send us an email to curiosteward@gmail.com
You can find us on: Instagram - https://www.instagram.com/curiosteward/
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Summary — The Uncanny Artist
One line: Generative AI can produce technically excellent art, pushing creativity into its own uncanny valley where human intention matters most.
 
Artifact — Generative Creative Systems: AI that produces images, music, poetry, and other creative work.
Pattern — Creativity Has Always Been More Than the Product: Creativity has always been about perspective, intention, and meaning — not just output.
Paradox — The Better AI Gets, the More Human Creativity May Matter: As technical excellence becomes easy, authenticity ("who experienced this, and why?") becomes the scarce thing.
Signal — From Creative Products to Creative Thinking: Education shifts from grading creative products to cultivating creative thinking itself.
Education technology evolves quickly.
But the patterns of learning change slowly.
That’s why we keep the cabinet open.
Thanks for exploring The EdTech Curio Cabinet.
Do you have thoughts regarding this Curio you would like to share?
Send us an email to curiosteward@gmail.com
You can find us on: Instagram - https://www.instagram.com/curiosteward/
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Curio 5 — Assessment After the Answer Machine
One line: When machines can produce any answer, assessment must shift from grading products to valuing thinking.
Artifact — The Automated Answer: AI systems that generate essays, solutions, and explanations on demand, disrupting traditional evaluation.
Pattern — Assessment Changes Slowly: Assessment systems have historically lagged behind technological change.
Paradox — The Easier Answers Become, the More Valuable Thinking May Become: Automating answer production makes authentic human reasoning more valuable, not less.
Signal — Assessment as Process, Dialogue, and Application: Educators are redesigning assessment around visible process, conversation, and applied understanding.
 
Education technology evolves quickly.
But the patterns of learning change slowly.
That’s why we keep the cabinet open.
Thanks for exploring The EdTech Curio Cabinet.
 
Do you have thoughts regarding this Curio you would like to share?
Send us an email to curiosteward@gmail.com
You can find us on: Instagram - https://www.instagram.com/curiosteward/
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Summary — The Outsourced Mind
One line: Cognitive offloading to AI boosts immediate capability but may quietly erode the mental effort that builds mastery.
Artifact — AI as Cognitive Extension: AI as an external extension of memory, reasoning, and expression.
Pattern — Every Cognitive Tool Changes Learning: As tools absorb cognitive work, the skills humans practice shift — a repeated historical cycle.
Paradox — Tools That Strengthen Capability May Weaken Mastery: Tools that raise performance can reduce the deep engagement that produces lasting understanding.
Signal — Metacognition as a Core Skill: Knowing when to rely on AI versus your own reasoning — thinking about thinking — becomes essential.
 
Education technology evolves quickly.
But the patterns of learning change slowly.
That’s why we keep the cabinet open.
Thanks for exploring The EdTech Curio Cabinet.
 
Do you have thoughts regarding this Curio you would like to share?
Send us an email to curiosteward@gmail.com
You can find us on: Instagram - https://www.instagram.com/curiosteward/
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Summary — The Sea of Dudes
One line: Homogeneous teams build biased systems — AI inherits the assumptions of its builders and data.
Artifact — Bias in Intelligent Systems: Real-world cases of AI misclassification and bias baked into training data.
Pattern — Institutions Often Reflect Their Builders: Systems built from a narrow slice of the population miss important patterns — education itself has many historical examples.
Paradox — Objectivity Can Conceal Human Assumptions: Machines seem neutral, but their "objectivity" can hide and even amplify inherited societal biases.
Signal — More Voices in the Room: Growing recognition that diverse builders and interdisciplinary perspectives make intelligent systems better.
 
Education technology evolves quickly.
But the patterns of learning change slowly.
That’s why we keep the cabinet open.
Thanks for exploring The EdTech Curio Cabinet.
 
Do you have thoughts regarding this Curio you would like to share?
Send us an email to curiosteward@gmail.com
You can find us on: Instagram - https://www.instagram.com/curiosteward/
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Curio 2 Summary — The Human-Centered Machine
One line: Fei-Fei Li's human-centered AI movement shows that intelligence can't be separated from the human contexts and values that shape it.
Artifact — The Stanford Center for Human-Centered AI: The 2019 institute co-founded by Fei-Fei Li that put humanity, not just capability, at the center of AI research.
Pattern — Technology Eventually Encounters Humanity: Tech revolutions start with "can it work?" and only later confront the social questions that come to dominate.
Paradox — The More Intelligent Machines Become, the More Human Questions Matter: Advanced AI looks technical, but its hardest problems are ethical, social, and human.
Signal — Education as a Human-Centered Discipline: Education emerges as a natural home for keeping AI connected to human flourishing.
 
Education technology evolves quickly.
But the patterns of learning change slowly.
That’s why we keep the cabinet open.
Thanks for exploring The EdTech Curio Cabinet.
 
Do you have thoughts regarding this Curio you would like to share?
Send us an email to curiosteward@gmail.com
You can find us on: Instagram - https://www.instagram.com/curiosteward/
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Season 4 opens the cabinet with 8 new curios:
For the first time, educational tools don't just store knowledge, they generate it, raising the question of what aspects of learning remain fundamentally human.
 
Curio 1 — The Machine That Explains
 
One line: When AI can explain anything instantly, the real question becomes how much productive struggle learning still needs.
Artifact — The Conversational Tutor: AI chat systems that deliver patient, on-demand explanations to any student, anytime.
Pattern — Tools That Extend Human Thought: From writing to calculators to search engines, cognitive tools have always reshaped how humans think.
Paradox — When Easier Understanding Becomes Harder: Effortless explanations can smooth away the productive struggle that builds deep understanding.
Signal — The Educator as Cognitive Architect: Teachers become designers of cognitive experiences — structuring meaningful struggle, reflection, and judgment alongside machines.
Education technology evolves quickly.
But the patterns of learning change slowly.
That’s why we keep the cabinet open.
Thanks for exploring The EdTech Curio Cabinet.
Do you have thoughts regarding this Curio you would like to share?
Send us an email to curiosteward@gmail.com
You can find us on: Instagram - https://www.instagram.com/curiosteward/
TikTok - curiosteward (@curiosteward) | TikTok
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Thank you for exploring the Cabinet with us.
Season Three References:
 
Programme for International Student Assessment (PISA)
Organisation for Economic Co-operation and Development (OECD). Paris: OECD. OECD PISA Programme
Ministry of Education, Singapore.Singapore Mathematics (commonly referred to as “Singapore Math”), emphasizing the Concrete–Pictorial–Abstract (CPA) framework. Singapore Ministry of Education Mathematics Curriculum
Stigler, J. W., & Hiebert, J. (1999). The Teaching Gap: Best Ideas from the World's Teachers for Improving Education in the Classroom. New York: Free Press. The Teaching Gap (Simon & Schuster)
Harvard University Press. (2025, September 17). Understanding China's gaokao exam. Harvard University Press. https://www.hup.harvard.edu/features/understanding-the-gaokao-exam
Sahlberg, P. (2011). Finnish Lessons: What Can the World Learn from Educational Change in Finland? New York: Teachers College Press. Finnish Lessons (Teachers College Press)
Wulf, W. A., & Fisher, G. M. C. (2002). A Makeover for Engineering Education. Issues in Science and Technology, 18(3). A Makeover for Engineering Education
Zakaria, F. (2015). In Defense of a Liberal Education. New York: W. W. Norton & Company. In Defense of a Liberal Education (W. W. Norton)
Romer, P. M. (1990). Endogenous Technological Change. Journal of Political Economy, 98(5), S71–S102. Paul Romer – Endogenous Technological Change (NBER)
Dewey, J. (1916). Democracy and Education: An Introduction to the Philosophy of Education. New York: Macmillan. Democracy and Education (Project Gutenberg)