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Record W4392614812 · doi:10.1080/10598650.2023.2300184

Pedagogical Approaches used in the Co-Creation of Academic Tools at the Musée acadien de l’Université de Moncton (MAUM)

2024· article· fr· W4392614812 on OpenAlexaboutno aff
Selma Zaiane-Ghalia, Lamine Kamano, Takam Djambong

Bibliographic record

VenueJournal of Museum Education · 2024
Typearticle
Languagefr
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsnot available
FundersMilieu- en energietechnologie Innovatie Platform
KeywordsThematic analysisExperiential learningCoronavirus disease 2019 (COVID-19)PsychologySubject (documents)PedagogyMathematics educationQualitative researchSociologyComputer scienceLibrary scienceMedicine

Abstract

fetched live from OpenAlex

This paper presents the results of a collaborative study highlighting the pedagogical approaches used by faculty during visits to the Musée acadien de l'Université de Moncton (MAUM). This qualitative-based study was conducted with a sample of nine participants representing various disciplines from three major faculties. Thematic analysis revealed the main themes related to the pedagogical practices used by the participants: teaching and learning models, pedagogical approaches, and methods. The results indicate that the faculty preferred collaborative, project-based, experiential, and inter- and trans-disciplinary approaches. This study initiated discussions among professors about teaching practices used by faculty members during distance learning. Innovative thoughts have emerged from e-learning practices used by faculty during the Covid-19 pandemic. Feedback from students contributed greatly to enriching and evolving the approaches. The cross-referencing of the results has made it possible to identify tools for inspiring pedagogical approaches, whatever the subject being taught.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.157
GPT teacher head0.344
Teacher spread0.187 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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