Work

Sustaining teachers’ epistemic agency in AI-supported instructional design: An exploratory design-based study of a conversational-function approach

Year: 2026

Type: article

Abstract: The increasing use of generative AI in instructional design raises concerns about cognitive outsourcing, as lesson planning may become overly shaped by algorithmic outputs. Because learning is situated and personalized, sustaining teachers' epistemic agency—responsibility for instructional decisions—is essential for student-centered planning. This exploratory study uses a design-based research approach to examine how a conversational-function framework can support teachers' epistemic agency in AI-assisted instructional design (AIID). Nineteen in-service teachers participated in two iterative intervention cycles in which structured conversational functions scaffolded teacher-AI interaction. Teachers' AIID scores showed substantial within-context improvement across the two cycles, accompanied by changes in score variability. These outcome patterns, together with network and sequential analyses of teacher-AI dialogues, suggest that conversational functions may support more coherent teacher-AI interaction patterns that sustain teachers’ epistemic responsibility for instructional decisions.

Source: Teaching and Teacher Education

DOI: 10.1016/j.tate.2026.105826

Authors: Yunying Yang, Guigen Zhang, Jinwen Luo, Shanyun Kuang

Institution: South China Normal University

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

Estimated APC paid: $3,380