learner-agency
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- PaperComputers & Education17 Jul 2026
Designing effective feedback in video lectures using GenAI: The roles of feedback type and learner agency in error detection
Zhongling Pi, Yuxiang Cao, Yiliang Zhang, Yuxian Ma et al.
Explores how feedback type and learner agency influence error detection when GenAI provides feedback in video lectures for language learning contexts.
- PaperELT Journal26 Jun 2026
Where is learner agency in locally produced ELT textbooks?
Amber N Warren, Natalia A Ward, Shuling Yang, Gokce Unlu et al.
Analysis of elementary-level ELT textbooks from China, Egypt, Russia, and Türkiye reveals that while learners are positioned as active participants, their agency is largely pedagogically managed and bounded, limiting open-ended meaning-making and critical engagement. A teacher toolkit is proposed to support curricular modifications that invite learner agency.
Original abstract
This study examines how locally produced elementary-level ELT textbooks from China, Egypt, Russia, and Türkiye frame opportunities for learner participation and construct learner agency. Focusing on curricular architecture across three dimensions—multimodal and multilingual resources, localisation of contexts and content, and global citizenship and intercultural participation—we demonstrate how these textbooks structure what learners are invited to do, say, and become in classroom contexts. The findings indicate that while the materials frequently position learners as active and culturally situated participants, the forms of agency they construct are largely pedagogically managed and bounded. As a result, learner participation is often guided toward predetermined outcomes, limiting opportunities for open-ended meaning-making, critical engagement, and more expansive expressions of agency. We propose a teacher toolkit designed to support teachers in noticing opportunities for curricular modification and invite learner agency.
- PaperBritish Journal of Educational Technology12 May 2026
Agency in learning and self‐directed learning with generative AI
Natasha Anne Rappa, Shanti Divaharan, Hai Min Dai
Explores how learner agency and self-directed learning are impacted by generative AI tools in educational contexts.
- PaperLanguage Learning & Technology1 Jan 2026
Distributed agency in AI-assisted L2 writing
Pin-Hsi Patrick Chen, Yichun Liu
A longitudinal qualitative study grounded in Bandura's theory of agency examined human-AI distributed agency in L2 writing among Taiwanese university students. Analysis of texts, reflections, and AI logs showed that distributed agency shapes writing across intentionality, forethought, self-reactiveness, and self-reflectiveness, both supporting and constraining learner engagement depending on how it is exercised.
Original abstract
This longitudinal qualitative study examines distributed agency between human writers and generative AI in the context of L2 writing. Grounded in Bandura’s theory of agency, the study analyzes students’ written texts, reflective accounts, and AI interaction logs collected from Taiwanese university students. The findings indicate that human-AI distributed agency shapes the enactment of L2 writing across intentionality, forethought, self-reactiveness, and self-reflectiveness. Moreover, distributed agency both supports and constrains learners’ engagement, depending on how it is exercised.