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Record W4319740103 · doi:10.5296/jse.v13i1.20721

From Curriculum Design to Program Implementation: Filling in the Gaps

2023· article· en· W4319740103 on OpenAlex
Nancy Maynes, Blaine E. Hatt, Jennifer Straub

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Studies in Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumContext (archaeology)Variety (cybernetics)Program Design LanguageCertificationLegislationProcess (computing)Computer scienceEngineering managementMathematics educationPolitical scienceEngineering ethicsSociologyPedagogySoftware engineeringEngineeringPsychologyProgramming languageArtificial intelligenceLawGeography

Abstract

fetched live from OpenAlex

The purpose of this paper has been to reflect on the design and implementation of the four-term ETEP teacher education program that was introduced in Faculties of Education across Ontario in 2017 to reflect the legislation that mandated a longer teacher preparation experience through Ontario Regulation 347/02 (as revised Dec. 1, 2014 - Aug. 31, 2015). Predictably each program across the province proceeded with different program structures within the mandated framework, addressed special features of their program differently, and incorporated different features into the resulting program. In this paper, we explore how rushed implementation resulted in gaps in design and implementation of a program; we examined these gaps and circumstances that led to them in the context of historical labour disruption, and structural changes in the management of the university. These gaps are attributed to a variety of factors. The major contribution of this paper includes a series of models for curriculum design and implementation specific to the design of the ETEP, but useful for curriculum design and implementation in any context. We propose that opportunities to re-engage in the program design process in a fulsome, visionary way to take advantage of the input we have had from faculty, teacher candidates, and associate teachers over the first years of the new approach to teacher certification in the province should be considered.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score0.215

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.111
GPT teacher head0.523
Teacher spread0.413 · 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