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Record W2213186415

Using Action Research and Provincial Test Results to Improve Student Learning, 6(20)

2002· article· en· W2213186415 on OpenAlexaboutno aff
Ron Wideman

Bibliographic record

VenueIEJLL: International Electronic Journal for Leadership in Learning · 2002
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsTest (biology)Mathematics educationAction researchAction (physics)PsychologyWork (physics)PedagogyMedical educationEngineeringMedicine
DOInot available

Abstract

fetched live from OpenAlex

During the 1999/2000 school year, seventeen elementary school teachers and five consultants, from two Ontario school boards, conducted action research based on the 1999 EQAO provincial test results for Grades 3 and 6 and used feedback/corrective action to improve those results. Paired with a “critical friend,” individual teachers analyzed their schools’ results and identified areas for improvement. They developed action research questions, investigated the questions in their own classrooms, collected data to evaluate the impact of their work, and recorded their investigations. The teachers’ own assessments and the 2000 EQAO test results indicated substantial success. Teachers began to see provincial test results as friendly data that schools can use to improve student learning and action research and feedback/corrective action as powerful methods to do so. The study contributes to understanding how provincial testing can be used to improve student learning and what constitutes effective teacher in-service education. It shows how professional teachers can play a leading role in school improvement by taking charge of their own professional learning.

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)0.018
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.649
GPT teacher head0.580
Teacher spread0.068 · 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 designSimulation or modeling
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

Citations12
Published2002
Admission routes1
Has abstractyes

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