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.
Generative artificial intelligence (GenAI) has entered education faster than the theoretical and methodological frameworks used to evaluate it. This critical integrative review asks a more consequential question than whether GenAI ‘works’: under what pedagogical conditions can it augment learning without displacing lea...
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
This paper explores how instructional design can scaffold epistemic agency in generative AI (GenAI)-mediated scientific writing. Embedded in a design-based research (DBR) framework, it draws on two iterations of a redesigned Scientific Writing course at the Zurich University of Applied Sciences (ZHAW), where engineerin...
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 rapid integration of generative artificial intelligence (GenAI) into higher education has generated increasing concern regarding its influence on students' epistemic agency, critical thinking, and cognitive autonomy. This systematic review synthesizes current evidence on the epistemic implications of GenAI in h...
Iván Claudio Suazo Galdames, Meylin Santiesteban Velázquez, M. Saracostti et al.· Frontiers in Education· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.