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‘She should have explained and convinced me!’

Student engagement with supervisory feedback on undergraduate dissertations

Bibliographic Data

ID21691540
AuthorsYuehan Luo (0000-0002-6818-8412, Anhui Agricultural University), G Hu (0000-0002-2297-4784, Hong Kong Polytechnic University, corresponding author)
Year2025
Volume30
Issue5
Pages1122-1139
Publication date2025-07-04
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueTeaching in Higher Education (JOURNAL)
Journal identifiersISSN: 1356-2517 • E-ISSN: 1470-1294
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13562517.2024.2394041
OpenAlexW4401785570
LanguageEN
Citations received6
References cited33

Informed by basic psychological needs theory, this multi-case study explored four supervisors’ feedback practices and their effects on Chinese English-major students’ engagement with feedback on their undergraduate dissertations written in English. Data comprised interviews with students and supervisors, stimulated recalls with students, audio recordings of supervisor-student conferences, and students’ multiple dissertation drafts with supervisory feedback. Cross-case comparisons were made to gauge the supervisory support. The analyses revealed salient differences in pedagogical caring, optimal structure, and autonomy support provided by the supervisors. The supervisees engaged affectively, behaviorally, and cognitively with supervisory feedback to different extents, and their engagement depended on the types and amounts of teacher support available. The findings of the study contribute to the application of basic psychological needs theory by extending it to undergraduate dissertation supervision. Practical implications for improving undergraduate dissertation supervision in the Chinese context are proposed

Autonomy · Management · Mathematics education · Pedagogy · Salient · Student engagement · Supervisor · Computer Science · Educational and Psychological Assessments · Psychology · Student Assessment and Feedback · Teacher Education and Leadership Studies

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Unique citing works6
Citations per year6
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 5

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