Student feedback literacy grows when goals and standards are clear
Updated Jun 06, 2026
feedbackStudents can respect a teacher and still leave unsure what a standard meant or how to use the comments they received. At Student Voice AI, we see that tension often in assessment comments. Caroline Xin Liu and Lily Min Zeng's Assessment & Evaluation in Higher Education paper, "When 'good teaching' isn't enough: learning environments that affect student feedback literacy", helps explain why. For universities using student voice in assessment and feedback to improve learning, the study shows that feedback literacy grows less from generic "good teaching" than from clear goals, transparent standards, and assessments designed for understanding.
Context and research question
The paper addresses a familiar institutional assumption: if teachers explain more, or students rate teaching positively, feedback will automatically become more useful. In practice, many students still struggle because they cannot see what standard they were aiming for, how comments relate to criteria, or what they are supposed to do next. That matters for UK higher education because these problems surface repeatedly in module evaluations, assessment surveys, and open comments, much as they do when student evaluations are redesigned with staff and student input.
Liu and Zeng test that problem through a mixed-methods design focused on Mainland Chinese undergraduates studying in Hong Kong. Study 1 used structural equation modelling on survey data from 547 students to examine relationships between programme-level learning environments, feedback literacy, and learning outcomes. Study 2 added 15 interviews to explain the quantitative pattern. The practical question is highly relevant for UK Student Experience, Quality, and Market Insights teams: which parts of the learning environment actually help students interpret and use feedback well?
Key findings
The strongest predictors of student feedback literacy were assessment for understanding and clear goals and standards. In the quantitative phase, those two features significantly predicted feedback literacy, and feedback literacy then mediated the relationship between the learning environment and learning outcomes. In other words, the environment mattered partly because it shaped whether students could make sense of feedback in the first place.
"assessment for understanding and clear goals and standards significantly predicted feedback literacy"
Good teaching and teacher feedback were not significant predictors in the model. That does not mean teaching quality is irrelevant. It means more general perceptions of good teaching did not on their own create the conditions students needed to interpret, judge, and use feedback. For UK teams, that is a useful warning against assuming that positive teaching scores, warm relationships, or detailed tutor comments automatically translate into feedback uptake.
The interview phase explains why clarity beat general goodwill. Students described aligned assessment design and transparent standards as the main factors that made feedback usable. When criteria, purposes, and expectations were visible, they could connect comments to action. When those elements were opaque, even thoughtful feedback was harder to use. That is an important distinction for institutions that still treat feedback problems mainly as a matter of comment quality or turnaround time.
The broader implication is that feedback literacy is a programme design issue, not just an individual student trait. The paper advances feedback literacy as something shaped by the surrounding environment. That matters because universities often talk about students needing to be more reflective or more proactive with feedback, while paying less attention to whether the programme makes standards legible enough for those behaviours to be realistic.
Practical implications
For UK universities, the first practical step is to audit how clearly programmes communicate goals, standards, and assessment purpose across modules. Review briefs, marking criteria, exemplars, and the sequencing of assessment tasks together rather than in isolation. If standards are clearer, students have a better chance of using comments accurately instead of guessing what a tutor meant, which improves both confidence and follow-through.
Second, institutions should ask students where feedback becomes hard to use, not only whether it was timely or detailed. Open prompts about criteria clarity, assessment guidance, and next-step usefulness can reveal whether the real problem sits in the comment, the task design, or the wider module structure. A reproducible approach such as our NSS open-text analysis methodology helps teams separate those issues instead of folding them into one generic feedback complaint. The benefit is more precise improvement work.
Third, universities should treat feedback evidence as a programme-level conversation, not just a lecturer-level verdict. If repeated comments show confusion about standards or expectations, the response may need assessment redesign, moderation changes, or more structured dialogue, not another reminder to "engage with feedback". That is where student evaluations help teaching improve when staff can discuss them. The benefit is cleaner diagnosis and more consistent follow-through across programmes.
FAQ
Q: How should a university apply this paper when reviewing assessment and feedback?
A: Start at programme level, not with isolated modules. Map the assessment sequence, learning outcomes, marking criteria, exemplars, and feedback release points together, then ask students where they lose track of standards or struggle to act on comments. This paper suggests that making expectations legible is more important than simply adding more feedback.
Q: What should UK teams keep in mind before generalising from this study?
A: The study focused on Mainland Chinese undergraduates in Hong Kong, with 547 survey respondents and 15 interview participants. That makes it strong mixed-methods evidence about mechanism, but not a universal sector benchmark. UK teams should transfer the core insight about clarity and alignment, then test the same questions in their own institutional context, especially where international, commuter, or first-generation students may interpret standards differently.
Q: What does this change about student voice work more broadly?
A: It shifts attention from asking whether students "liked" feedback to asking whether the learning environment made feedback usable. Student voice becomes more valuable when comments about criteria, clarity, workload, and expectations are analysed together rather than reported as disconnected complaints. That gives universities a stronger basis for improving both assessment design and feedback uptake.
References
[Paper Source]: Caroline Xin Liu, Lily Min Zeng "When 'good teaching' isn't enough: learning environments that affect student feedback literacy" DOI: 10.1080/02602938.2026.2674253
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