Ian JiangAP Capstone — Seminar · 2025–26

Sources

Combined Works Cited

Every source Ian cites across the IRR and IWA, in one place. APA-style. Tag in the right column shows which essay each source supports.

  1. Brayboy, B. M. J., & Maughan, E. (2009). Indigenous knowledges and the story of the bean. Harvard Educational Review, 79(1), 1–21
    IWA
  2. Cristia, J., Ibarrarán, P., Cueto, S., Santiago, A., & Severin, E. (2017). Technology and child development: Evidence from the One Laptop Per Child program. American Economic Journal: Applied Economics, 9(3), 295–320
    IRRIWA
  3. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign
    IRR
  4. Luckin, R. (2018). Machine Learning and Human Intelligence: The Future of Education for the 21st Century. UCL Press
    IRR
  5. Office of the Surgeon General of the United States (2023). Our epidemic of loneliness and isolation: The U.S. Surgeon General's advisory on the healing effects of social connection and community — Stimulus Material — Source B
    IWA
  6. Osoro, O. B., et al. Sustainability assessment of low Earth orbit (LEO) satellite broadband megaconstellations. arXiv — Stimulus Material — Source G
    IWA
  7. Postiglione, G. A. (2009). Education of national minorities. In J. Bentley (Ed.), International Handbook of Chinese Education (pp. 501–520). Springer
    IWA
  8. Selwyn, N. (2016). Is Technology Good for Education?. Polity Press
    IRRIWA
  9. UNESCO (2023). Global Education Monitoring Report 2023: Technology in Education — A Tool on Whose Terms?. UNESCO Publishing
    IRRIWA
  10. Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes. Harvard University Press
    IWA
  11. Warschauer, M. (2004). Technology and Social Inclusion: Rethinking the Digital Divide. MIT Press
    IRR
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