Nov 2024· Academia AI and Applications· Vol abs/2411.00631· 23 citations· 90 references
Computer Science
TL;DR
The findings suggest that while GenAI may enhance learner agency through personalisation and support, it also risks exacerbating educational inequalities and diminishing learner autonomy in certain contexts.
Abstract
Conversations regarding the societal implications of artificial intelligence (AI) and its integration into educational processes are ongoing. An area of great significance in this regard is agency, including how the use of AI technologies impacts an individual’s ability to exercise autonomy. In educational contexts, this remains a relatively unexplored yet vital subject. To shed light on this subject, this paper provides an exploratory thematic review of works which investigate the relationship between generative artificial intelligence (GenAI) and agency in education, mapping and interpreting the available literature through the lens of critical digital pedagogy (CDP). The findings suggest that while GenAI may enhance learner agency through personalisation and support, it also risks exacerbating educational inequalities and diminishing learner autonomy in certain contexts. This review also contributes to new sociotechnical perspectives on AI, highlighting how GenAI technologies may shape and be shaped by power dynamics and pedagogical ideologies. This review contributes to the existing debate on how AI technologies can be deployed in education and society responsibly by exposing how the use of these technologies may lead to unintended impacts, including the entrenchment of inequality and the reshaping of concepts of individual agency, authorship, and autonomy.
The findings reveal that GenAI can effectively improve teaching efficacy, enable personalised learning experiences, and streamline assessment procedures, however, its implementation also draws attention to concerns regarding academic integrity, data privacy, algorithmic bias, and ethical governance.
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This study presents an abductive analysis of interview data from 13 Finnish teachers involved in national AI education development projects and conceptualises a potential synergy between the domains where students' self‐determined, informed engagement with AI is placed at the centre of educational efforts in AI educati...
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A conceptual framework offering AI designers, teacher educators, and policymakers a psychologically grounded, empirically mapped, and internationally contextualised basis for developing AI-supported educational systems that advance equity, learner engagement, and meaningful educational transformation is proposed.
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A conceptual evaluation of the extent to which GenAI redistributes students' and teachers'ability to act in classrooms to produce knowledge, validate each other's claims, and create evidence of student learning while collaborating with and competing against humans is presented.
A policy-oriented posthuman framework for interpreting AI integration in architectural pedagogy and translating it into responsible design education principles is developed, which clarifies the theoretical relevance of posthuman pedagogy for AI-supported architectural education.