Legitimate concerns exist about aied rollout regarding datafication, surveillance, and possibly poor pedagogy¶

Claim · All claims
Evidence · 1 study · theoretical r2 · q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? There are legitimate concerns about the rollout of AI tools in education in terms of datafication and surveillance and possibly also of poor pedagogy, attributed to the broad field rather than the academic community. → Benedict du Boulay 2024

Evidence¶

Benedict du Boulay 2024¶

Benedict du Boulay. (2024). Pedagogy, Cognition, Human Rights, and Social Justice. International Journal of Artificial Intelligence in Education 34:116–121. https://doi.org/10.1007/s40593-023-00355-0

q2 · i? · theoretical · r2

The commentary's framing statement, citing critics such as Selwyn, Watters and Williamson, about the commercial and academic field's rollout of AI tools. The author accepts these concerns as legitimate while disputing that blame lies with the academic AIED community.

"It is clear that there are legitimate concerns about aied's rollout of tools and applications in education making use of (or claiming to make use of) Artificial Intelligence in terms of datafication and surveillance and possibly also of poor pedagogy"

Discussion¶

Related Claims¶

• AIED has reached substantial commercial scale while attracting criticism for poor pedagogy, datafication and surveillance — possibly the same claim (merge candidate)
• AIED criticism is largely application-specific rather than opposition to all AI in education — related
• Privacy protections lag behind reputational concerns: institutions rarely consider implications of capturing audio-visual and behavioral data from private spaces, and AI algorithms are seldom transparent about error rates — related
• The review identifies data privacy, algorithmic fairness, academic integrity, and unequal access as interconnected ethical concerns in AI-supported mathematics education — related
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• AIED, as a small academic society, is in a weak position to regulate the AI-in-education market — related
• Willis et al. (2016) identify four common ethical issues in internal student data usage across three institutions — related