The current understanding of student voice in assessment and feedback

Updated Mar 05, 2026

Assessment and feedback work best when student voice shapes decisions, not just surveys. A systematic literature review by Sun et al. (2022) (Source) examines how student voice research informs assessment and feedback in higher education.

The review analysed 38 peer-reviewed papers published from 2011 to 2022, and mapped both research themes and study methods across a range of contexts and disciplines.

Student voice research can be categorised as qualitative, quantitative, or mixed. Qualitative methods are most common, but mixed-method studies have increased in recent years. This shift may be linked to the view that students should be active partners in research, rather than research subjects (Cook-Sather, 2018). Data was typically collected via surveys, focus groups, and individual interviews; other methods included observations, documents, and reflective journals. This variety helps researchers develop a fuller understanding of students' perspectives on assessment and feedback.

Research on student voice in assessment and feedback focused on three areas:

1. Student experience and satisfaction
2. Teaching, assessment, and feedback practice
3. University environment and support

1) Student experience and satisfaction. Student voice can strengthen the student experience. Students who participate in student voice initiatives often report more confidence, greater motivation, and increased agency, which can increase satisfaction in higher education. Participation can also build skills in critical thinking and articulation, which support success in education and future work environments (Zhou, Zheng, and Tai, 2020).

2) Teaching, assessment, and feedback practice. Student voice gives teachers valuable information to improve teaching, assessment, and feedback. To increase performance and satisfaction, educators can adapt their approaches in response to student perspectives. Studies suggest that student voice can support the development of more effective assessments. For example, several studies indicate that students prefer, and often perform better with, more frequent assessments made up of shorter tasks. Studies also suggest that frequent, detailed feedback can improve learning and confidence (including structured peer review feedback where appropriate). By applying these insights to assessment practices, teachers could improve student satisfaction, performance, and the effectiveness of assessment.

3) University environment and support. Many studies explored how student voice could be used to improve university support services. Student feedback provides vital insight into how higher education institutions can create supportive learning environments for all students. For example, some research suggests that international students can struggle with assessment; universities could respond by creating targeted services such as assessment proofreading support. Actions like these can promote inclusivity and equity, and support learning within higher education.

There are several limitations in the current research on student voice in assessment and feedback. Only a limited number of studies involved international students, so existing research may not fully represent the perspectives of marginalised students. Future research must ensure that diverse voices are captured to promote equity in assessment research and practice. Another limitation is the lack of studies involving dual degree programme students. Different disciplines can come with distinct expectations, and discipline mix provides essential context for how students experience assessment and feedback. Research including dual-discipline students would offer a unique perspective. An additional limitation of existing studies is their cross-sectional design. To understand the lasting effects of student voice, research should be carried out across longer timeframes. Without follow-up, it is difficult to determine the true effect of adjustments made in response to student feedback.

Practical takeaways for educators and student voice teams:

• Pair surveys with qualitative follow-up to capture nuance.
• Involve students as partners in assessment design, then show what changed as a result.
• Review assessment formats and feedback frequency; in the literature, students often prefer shorter, more frequent tasks and detailed feedback.
• Use student feedback to target support services, especially where specific groups face barriers.
• Check whose voices are missing, and build longer-term evaluation into student voice work.

FAQ

Q: How are the findings from student voice research, particularly in text analysis of feedback and assessments, integrated into the curriculum and teaching strategies in real-time?

A: Institutions can integrate student voice findings through an iterative cycle: collect feedback (surveys, focus groups, interviews, and direct assessments), analyse it, and translate themes into teaching and curriculum decisions. Text analysis tools for student feedback help educators identify recurring concerns and suggestions at scale, so they can prioritise both quick improvements (for example, clarifying assessment briefs, adjusting task formats, or adding resources) and longer-term redesign. The most important step is closing the loop with students, so they can see how their feedback shaped changes.

Q: What role does advanced technology, such as AI and machine learning, play in analysing student voice data, especially in large datasets from surveys, focus groups, and interviews?

A: Advanced technology, including AI and machine learning, plays a crucial role in analysing student voice data at scale. These tools can process large volumes of text feedback efficiently, identifying patterns, trends, and sentiments that might not be obvious in manual reviews. Using natural language processing (NLP) techniques, institutions can categorise feedback, quantify sentiment through sentiment analysis, and surface recurring themes, which supports more informed responses to student needs. AI can also help teams track changes in student sentiment over time, so they can assess the impact of actions taken in response to student voice and adjust their approach.

Q: How do institutions ensure the inclusion and representation of diverse student voices, especially from marginalised or underrepresented groups, in their student voice initiatives?

A: Institutions can improve inclusion by actively seeking out participation from marginalised or underrepresented groups, and making it safe and easy to share feedback. That might include anonymous surveys, dedicated focus groups, and forums that are designed for different student communities, alongside targeted outreach to groups who may not engage with standard feedback channels. Applying text analysis and other methods to the feedback collected can then help institutions identify issues affecting specific groups, act on them, and monitor whether those actions improve equity and inclusion over time (see the student feedback analysis glossary for definitions of common terms).

References

[Source] Shuting (Alice) Sun, Xuesong (Andy) Gao, Bita Dwi Rahmani, Priyanka Bose & Chris Davison (2022). Student voice in assessment and feedback (2011–2022): a systematic review. Assessment & Evaluation in Higher Education
DOI: 10.1080/02602938.2022.2156478

[1] Cook-Sather, A. (2018). Tracing the Evolution of Student Voice in Educational Research. In: Bourke, R., Loveridge, J. (eds) Radical Collegiality through Student Voice. Springer, Singapore.
DOI: 10.1007/978-981-13-1858-0_2

[2] Zhou, J., Zheng, Y., and Tai, J. H.-M. (2020). “Grudges and Gratitude: The Social-Affective Impacts of Peer Assessment.” Assessment & Evaluation in Higher Education, 45(3), 345–358.
DOI: 10.1080/02602938.2019.1643449

Request a walkthrough

Book a free Student Voice Analytics demo

See all-comment coverage, sector benchmarks, and reporting designed for OfS quality and NSS requirements.

• All-comment coverage with HE-tuned taxonomy and sentiment.
• Versioned outputs with TEF-ready reporting.
• Benchmarks and BI-ready exports for boards and Senate.

Book a free demo Prefer email? info@studentvoice.ai

UK-hosted · No public LLM APIs · Same-day turnaround

Related Entries

• Improving student experience and learning through peer review feedback
• The Best Text Analysis Software for Education
• Staff-student partnerships to enhance assessment literacy
• Exploring student experience of formative assessment
• What is Student Voice?
• Student voice in the development of assessment practices