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Record W2790417540 · doi:10.24382/465

Exploring the Teaching-research Nexus in College Based and University Higher Education

2018· dissertation· en· W2790417540 on OpenAlexfundno aff
Cathy Schofield

Bibliographic record

VenuePEARL (University of Plymouth) · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
FundersLondon Metropolitan UniversityLiverpool John Moores UniversityUniversity of WestminsterUniversity of HertfordshireLondon South Bank UniversityUniversity of BirminghamUniversity of ReadingUniversity of BristolUniversity of NottinghamHarper Adams UniversityNewcastle UniversityUniversity of WarwickKeele UniversityUniversity of East AngliaTrent UniversityCanterbury Christ Church UniversityArts University BournemouthFalmouth UniversityBishop Grosseteste UniversityUniversity of SussexBath Spa UniversityUniversity of EssexUniversity of BedfordshireUniversity of WinchesterKingston UniversityUniversity of ChesterUniversity of ExeterOxford Brookes UniversityMiddlesex UniversityLiverpool Hope UniversityLeeds Trinity UniversityUniversity of SouthamptonDepartment for Business, Innovation and SkillsUniversity of BathLeeds Beckett UniversityUniversity of BoltonVictoria UniversityUniversity of HullDysautonomia FoundationNottingham Trent UniversityCranfield UniversityUniversity of WolverhamptonRoyal College of ArtEdge Hill UniversitySheffield Hallam UniversityUniversity of East LondonSouthampton Solent UniversityBucks New UniversityUniversity of GreenwichUniversity of Salford ManchesterAston UniversityUniversity of RoehamptonSt Mary's UniversityUniversity of WorcesterNorthumbria UniversityStaffordshire UniversityUniversity of NorthamptonUniversity of ChichesterUniversity of PortsmouthManchester Metropolitan UniversityUniversity of West LondonYork St John UniversityUniversity of LeedsLoughborough UniversityUniversity of Cumbria
KeywordsNexus (standard)Mathematics educationHigher educationPedagogySociologyPolitical scienceEngineering ethicsEngineeringPsychology

Abstract

fetched live from OpenAlex

In traditional university higher education the normal expectation is that academic staff will undertake teaching and research. There is an implicit assumption that active researchers provide a high quality learning experience, with research-informed teaching at its core. The research presented in this thesis explores aspects of the teaching-research nexus in university and college-based higher education. As there is not traditionally a research culture within college-based higher education it may be assumed that the learning experience may be of a lesser quality. This research considered four aspects of provision. It considered institutional and lecturer views on the nexus before examining what students experienced and how engaged they were in their lecturers' research. Comparisons between the types of institution showed an expected cultural pattern between universities and colleges stance on the nexus, where CBHE focused on teaching, post-1992 universities on research-informed teaching, and the pre-1992 universities highlighting their research reputations. The student experience is shown to diverge from this pattern. The CBHE psychology students had a more research-rich experience than those at universities, with varying levels of engagement with lecturers' research. The evidence form this study suggests that research, in its traditional form, may not be necessary to enhance learning. It indicates that there needs to be further exploration about the role of scholarship within higher education to develop a better understanding of the role of CBHE in the higher education sector, and what it may contribute to the teaching-research nexus. This may have implications for the status of CBHE in the higher education landscape, as has been suggested by the first TEF outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.098
GPT teacher head0.335
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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