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Record W4396833753 · doi:10.37870/joqie.v14i23.419

Analysis of Declared Pedagogical Practices in STEM Education in Morocco

2024· article· en· W4396833753 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Quality in Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsUniversité du Québec à Rimouski
Fundersnot available
KeywordsSociologyMathematics educationPolitical sciencePedagogyPsychology

Abstract

fetched live from OpenAlex

Internationally, we observe that the results of Moroccan students in mathematics are significantly lower than the average results of students from other countries. This observation, could in part, be explained by maintaining an approach based on the transmission of knowledge which does not promote the development of student skills. Since STEM (Science, Technology, Engineering and Mathematics) based instruction has been shown to have a positive impact on student achievement in mathematics, we explored the teaching and assessment practices reported by five Moroccan teachers in order to identify practices that would be compatible with teaching based on STEM. Although only one participant said they knew this approach, our results indicate that all participants have practices compatible with an integrated approach to STEM. These results outline a future where teachers and researchers will work together to implement STEM-based education and explore, in the Moroccan context, the scope and limits of such education.

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.

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)0.014
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
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 head0.239
GPT teacher head0.552
Teacher spread0.312 · 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