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Record W2002196329 · doi:10.5539/hes.v4n4p62

Towards Developing a Common Conception of Research-Based Teaching and Learning in an Academic Community

2014· article· en· W2002196329 on OpenAlexvenueno aff
Jaanika Blomster, Stephen Venn, Viivi Virtanen

Bibliographic record

VenueHigher Education Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationQualitative researchPsychologyTeaching methodPedagogyQuality (philosophy)Semi-structured interviewSociologySocial science

Abstract

fetched live from OpenAlex

This study aims to determine whether bioscience teachers and researchers in a research-intensive university have consistent views on research-based teaching, and to evaluate whether teachers’ conceptions and views on practical teaching methods are aligned. Fifty-eight teachers completed a questionnaire concerning conceptions and practices of teaching. By using qualitative content analysis, we distinguished three categories of conceptions: teacher-centred, student-centred and a view whereby pedagogical research was valued. Views on teaching practices were divided into five categories, according to how the teachers viewed students’ involvement in research. A highly significant correlation indicated that teachers with more student-centred conceptions were likely to implement practices involving students in research and the academic community. Our study shows a plethora of conceptions of research-based teaching in an academic community and suggests that to enhance teaching quality in higher education, cooperation on the development of common conceptions is necessary; they will not evolve by themselves amongst academics.

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)0.023
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.508
GPT teacher head0.617
Teacher spread0.109 · 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.

Study designObservational
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

Citations7
Published2014
Admission routes1
Has abstractyes

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