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An empirical investigation of the experience of educators and politicians with the emergence of artificial intelligence in education

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  • Pham, Son T.H.

Abstract

Artificial intelligence (AI) presents powerful opportunities for social reconstruction across multiple sectors, including public education, healthcare, security, and transportation. However, the ultrafast proliferation of AI projects in schools, primarily driven by corporate interests, may not align with long-term educational objectives such as student success, social-emotional learning, and inclusivity. This scenario echoes Pierre Bourdieu's conclusion regarding the systematic destruction of collectives as human systems increasingly prioritize commercial value. This phenomenological study explored the gap between education and technology in the context of the impending high-tech industrial revolution. Using Heideggerian interpretive phenomenology, we examined the lived experiences and expectations of the four leading educators and politicians in the United States. The findings elucidated five themes of the investigated phenomenon, contributing to bridging the gap between AI growth and education.

Suggested Citation

  • Pham, Son T.H., 2025. "An empirical investigation of the experience of educators and politicians with the emergence of artificial intelligence in education," Technology in Society, Elsevier, vol. 83(C).
    • Handle: RePEc:eee:teinso:v:83:y:2025:i:c:s0160791x25001551
    DOI: 10.1016/j.techsoc.2025.102965
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    References listed on IDEAS

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    1. Kekez, Ivan & Lauwaert, Lode & Begičević Ređep, Nina, 2025. "Is artificial intelligence (AI) research biased and conceptually vague? A systematic review of research on bias and discrimination in the context of using AI in human resource management," Technology in Society, Elsevier, vol. 81(C).
    2. Leite, Higor, 2025. "Artificial intelligence in higher education: Research notes from a longitudinal study," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
    3. Eyert, Florian & Irgmaier, Florian & Ulbricht, Lena, 2022. "Extending the framework of algorithmic regulation. The Uber case," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 16(1), pages 23-44.
    4. Florian Eyert & Florian Irgmaier & Lena Ulbricht, 2022. "Extending the framework of algorithmic regulation. The Uber case," Regulation & Governance, John Wiley & Sons, vol. 16(1), pages 23-44, January.
    5. Zhong, Xi & She, Jianquan & Wu, Xiaojie, 2024. "Tech for social good: Artificial intelligence and workplace safety," Technology in Society, Elsevier, vol. 79(C).
    6. Elia Zarinelli & Michele Treccani & J. Doyne Farmer & Fabrizio Lillo, 2014. "Beyond the square root: Evidence for logarithmic dependence of market impact on size and participation rate," Papers 1412.2152, arXiv.org.
    7. Skare, Marinko & Gavurova, Beata & Blažević Burić, Sanja, 2024. "Artificial intelligence and wealth inequality: A comprehensive empirical exploration of socioeconomic implications," Technology in Society, Elsevier, vol. 79(C).
    8. Ferreira dos Santos, Joao Pedro & de Matos, Celso Augusto & Groznik, Aleš, 2025. "The role of artificial intelligence in smart city systems usage: drivers, barriers, and behavioural outcomes," Technology in Society, Elsevier, vol. 81(C).
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