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Record W7043605383

Successes and failures in curriculum reforms: a case study of Québec’s system-wide curriculum reform (1996-2022)

2024· dissertation· en· W7043605383 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2024
Typedissertation
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumCommissionOutcome-based educationDropout (neural networks)Phase (matter)Education reform
DOInot available

Abstract

fetched live from OpenAlex

The quest to have a highly performing education system is one shared by many nations. In this sense, nations and jurisdictions will often analyze and compare their education system with others to optimize their own. Upon such analyses and comparisons, there will often be a need for reforms to increase performance and efficiency in education. Such reforms may be small-scale at times, but governments around the world will sometimes attempt system-wide curriculum reforms. In 1996 the province of Québec held a large commission called the “États Généraux de l’Éducation” (General Status of Education) to correct certain issues, most notably a higher dropout rate than other provinces in the country. After this commission, Québec undertook a system-wide curriculum reform based on a socio-constructivist approach. It was highly contested from the beginning and remains so to this day. This research project therefore aims to gain a better understanding of the successes and failures of system-wide curriculum reforms by looking into Québec’s reform in a case-study analysis. Results of this research indicate that top-down leadership, where a reform is imposed by a governing authority and in which teachers and the community do not have an active participation role produce higher levels of resistance than when change starts from the bottom up. This case-study analysis points to the notion that the preparation phase of a system-wide reform should be longer and given more importance than the implementation phase as understanding of the reason for this reform, or lack thereof, caused the most insecurity and resistance. Keyword: Education, reform, Québec, leadership, teamwork, reform planning.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.010
GPT teacher head0.281
Teacher spread0.270 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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