Actionable companion · Assessment and evidence of learning

From evidence to district action: Academic emotions and perceived learning outcomes in GenAI-supported learning: the serial mediating roles of AI acceptance and learning behaviors

AI-assisted editorial implementation guide. The district actions are proposed applications, not findings or recommendations attributed to the original authors. No additional peer review is asserted.

Evidence and context

Confirm the study population, setting and task before applying its findings to your district.

Original authors’ abstract, reproduced under the linked source license:

Abstract Objective With the widespread application of generative artificial intelligence (GenAI) in higher education, academic emotions play a vital role in students’ learning processes. This study aims to examine the associations between positive and negative academic emotions and college students’ perceived learning outcomes, and analyze the serial mediating roles of AI acceptance and learning behaviors within GenAI-supported learning environments. Methods A total of 526 college students with GenAI learning experience were recruited via convenience sampling. All participants completed four standardized scales measuring academic emotions, AI acceptance, learning behaviors and perceived learning outcomes. Descriptive statistics, correlation analysis, confirmatory factor analysis and bias-corrected Bootstrap mediation tests were conducted using SPSS 26.0 and AMOS 27.0. Results All variables were significantly correlated (p < 0.01). Positive academic emotions exerted a significant direct association with perceived learning outcomes (β = 0.176), whereas the direct association of negative academic emotions was non-significant (β = −0.098, p = 0.049, 95% CI [−0.205, 0.007]). AI acceptance and learning behaviors had significant independent mediating effects. The serial mediation effect value was 0.020 for positive emotions and −0.037 for negative emotions, with all 95% confidence intervals excluding zero. Indirect pathways dominated the influence of negative academic emotions. Conclusion This study identifies a pattern of associations consistent with the hypothesized emotion-cognition-behavior-outcome pathway in GenAI-supported learning. The findings offer empirical evidence for developing targeted academic-emotion-informed intervention strategies, improving students’ AI acceptance and learning engagement, and promoting the high-quality development of intelligent education. Keywords: academic emotions, AI acceptance, GenAI-supported learning, learning behaviors, learning outcomes, serial mediation

A 90-day district pilot

1. Days 1–15 · Appraise. Have the curriculum lead and a teacher read the methods and limitations. Record the study design, sample, comparator, outcomes and evidence gaps. Define a local question that the study can help inform.
2. Days 16–30 · Design. Redesign one low-stakes assessment: require a first attempt, an AI-assisted revision, a source-check log and a short oral explanation. Use the same rubric for the comparison task. Name an accountable owner and set the baseline, success threshold and budget before implementation.
3. Days 31–60 · Test. Start with a small voluntary cohort, preserve an accessible non-AI route and require teacher review. Use synthetic or de-identified examples; approve data handling and tool terms through district processes.
4. Days 61–90 · Decide. Blind-score reasoning, factual accuracy and unaided transfer on a fresh task. Record suspected misconduct separately from demonstrated evidence. Compare with baseline, document uncertainty and stop or revise if learning worsens, access is unequal or critical errors persist.

The board decision brief

Report the learning problem, evidence quality, participating population, total cost including review time, measured benefit, errors, access differences and remaining uncertainties. Make a dated recommendation to stop, revise or expand. A positive perception survey alone does not establish learning improvement.

Attribution and reuse

Huaruo Chen; Gefan Wang; Zhentao Peng; Wanru Song; Jie Xu. Academic emotions and perceived learning outcomes in GenAI-supported learning: the serial mediating roles of AI acceptance and learning behaviors. Frontiers in Psychology (2026-10-14). https://doi.org/10.3389/fpsyg.2026.1921828

Companion prepared 2026-10-30. Original authorship and DOI are preserved. The abstract is an attributed source extract; the implementation plan is new AI-assisted editorial material, offered under the same CC BY 4.0 license. This guide has not undergone independent peer review.