aceWithin-person reciprocal processes between AI feedback literacy and agentic engagement: a three-wave random-intercept cross-lagged panel study
Artificial intelligence (AI) feedback has become a pervasive feature of university learning, yet whether students’ capacity to engage productively with such feedback co-develops with their broader learner agency remains poorly understood. Drawing on student feedback literacy theory, self-determination theory as a supplementary motivational lens, and the mutualism principle, this study tested whether AI feedback literacy and agentic engagement reciprocally predict each other over time at the within-person level a…
Among Chinese undergraduates, higher AI feedback literacy at one point predicted later increases in agentic engagement, and agentic engagement likewise predicted later gains in AI feedback literacy, indicating a mutually reinforcing development.
The cultural interpretation is presented only as a possibility, and the sample covers Chinese undergraduates over a single semester, with some participants lost to incomplete data, so generalization is untested.
Evidence
- Peer-reviewedFrontiers in Psychology2026-10-22
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Truvace Impact Record TRV-2026-2206, v1: “Within-person reciprocal processes between AI feedback literacy and agentic engagement: a three-wave random-intercept cross-lagged panel study.” Truvace, 2026-10-23. /record/TRV-2026-2206 (accessed at citation time). sha256 d82db3f72ddc2ff1…
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