AIED technologies span school administration to personalised learning, with ethical risks including surveillance, privacy loss, and dehumanising prescriptive teaching¶

Claim · All claims
Evidence · 1 study · review r2 · q3
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? RQ1 analysis shows AIED applied across schools, universities, students and teachers for purposes from personalised learning to assessment, with ethical challenges spanning data privacy, surveillance anxiety, reduced human interaction, and diminished student agency. → Ana Mouta 2023

Evidence¶

Ana Mouta 2023¶

Ana Mouta, Ana María Pinto-Llorente, Eva María Torrecilla-Sánchez. (2023). Uncovering Blind Spots in Education Ethics: Insights from a Systematic Literature Review on Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-023-00384-9

q3 · i? · review · r2

RQ1 synthesis of Table 4, summarising 36% of the review's studies, maps technologies (ambient classroom tools, ITS, robots, adaptive assessment) to targets and ethical challenges. The review reports AI criticised as "dehumanising" for promoting "prescriptive teaching with minimal interaction". It also notes activity logs can reveal political beliefs or sexual orientation.

"AI has faced criticism for being "dehumanising" in this context, as it often promotes prescriptive teaching with minimal interaction and automated pathways, ultimately diminishing students’ agency (Miao et al., 2021)."

Discussion¶

Related Claims¶

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