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.
Abstract
Generative artificial intelligence (GenAI) has been primarily framed as an impartial educational tool. However, this framing overlooks an even larger shift: the reassignment of epistemological authority from teachers to students to machines. This paper presents 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. This evaluation draws on various theoretical paradigms, including Distributed Agency, Self-Determination Theory, Society 5.0, and Technology Integration Paradigms, including TPACK and SAMR. While all of the theoretical paradigms evaluated are relevant to the role of agency within education mediated by AI, none of them address the ongoing disparity regarding equitable distribution of power, ownership of the data used to mediate interaction, and accountability in relation to human-mediated interactions. As such, this paper introduces the Ecological Co-Agency Framework, which defines agency in terms of relational, regulatory, and pedagogical processes, conditioned by a defined commitment to human accountability for epistemological claims.
This article proposes the Human–AI Pedagogical Agency Framework (HAPAF), composed of five interacting layers: epistemic positioning, learner agency, interaction design, verification, and governance, which reframes effective GenAI integration as an agency-preserving pedagogical design problem rather than a tool-adoption...
A. Haro-Sarango· Multidisciplinary Latin Amer...· 0 citations
Generative artificial intelligence (GenAI) is rapidly reshaping engineering education, yet prevailing debates frame its impact narrowly as either pedagogical innovation or epistemic threat. In this article, we argue that such framings misdiagnose the problem by treating GenAI as a tool rather than as a sociotechnical...
It is argued for a conceptual reorientation from pedagogical scaffolding toward learning-ecosystem architecture and proposed a pedagogy of friction that preserves the desirable difficulties through which authentic agency is nurtured.
Wenwei Luo, Minqi Gao, Jin Liu et al.· AI, Brain and Child· 0 citations
It is suggested that instructional scaffolds such as prompting journals and iterative reflection, can externalise epistemic processes and strengthen AI literacy as a foundation for epistemic agency in generative AI-mediated scientific writing.
N. Schnatz, Aline Bieri· MedienPädagogik: Zeitschrift...· 1 citation
As generative artificial intelligence (AI) becomes embedded in everyday literacy practices, pre-service teachers (PSTs) must decide what work remains distinctly human in AI-mediated meaning-making. This qualitative case study investigates how PSTs enact boundary work with generative AI during a semester-long literacy e...
I. O'Byrne· Literacy Research Theory Met...· 0 citations
The evidence suggests that the educational consequences of GenAI are mediated primarily by pedagogical design, AI literacy, and assessment practices rather than by the technology itself, supporting the need for higher education institutions to promote critical AI literacy and pedagogical frameworks capable of preservin...
Iván Claudio Suazo Galdames, Meylin Santiesteban Velázquez, M. Saracostti et al.· Frontiers in Education· 3 citations· ⚡1
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