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Record W3116666953 · doi:10.20355/jcie29417

Facilitating the Acquisition of Critical Writing Skills? An Exploration of Pedagogical Practices Within a Business School at a New University in the UK

2020· article· en· W3116666953 on OpenAlexvenueno aff
Martin Percy

Bibliographic record

VenueJournal of Contemporary Issues in Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsnot available
Fundersnot available
KeywordsDialogicDisciplinePedagogyContext (archaeology)SociologyPromotion (chess)Mathematics educationPsychologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

This case study of writing practices at a Business School at a “new university” attempts to ascertain whether a constructivist and dialogic pedagogical approach is utilised in order to facilitate the acquisition of critical writing practices among predominantly undergraduate non-traditional students. Constructivist learning theory assumes that knowledge is constructed by individuals through a phenomenological subjective interpretation of experience. Hence learning is a dialectic process resulting from a synthesis between preconceived ideas and reflections on experience. It is assumed that a student-centred dialogic approach to teaching is likely to facilitate learning and the acquisition of the higher critical skills within the disciplinary context. Therefore, dialogic feedback plays a crucial role in the learning process and guidance on the pre-writing tasks of selecting and evaluating source material, planning, feedback and disciplinary interpretations of criticality are likely to have an impact on the production of academic texts. The research triangulated semi-structured interviews with academics and students and incorporated an examination of educational artifacts. The paper concludes that assumptions of the unidirectionality of student-teacher relationships and a perception that the acquisition of critical skills is external to disciplinary practice may have mitigated against a truly dialogic approach to facilitate critical writing. In addition, the increasing marketisation of higher education and promotion of generic attributes to produce employable graduates has seemingly led to an emphasis of reproducing institutional normative perspectives and writing practices, thus blurring the distinction between education and training.

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)0.004
metaresearch head score (Gemma)0.020
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.005
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 head0.201
GPT teacher head0.486
Teacher spread0.284 · 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 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

Citations1
Published2020
Admission routes1
Has abstractyes

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