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The Personal Program Plan (PPP) Reviewed: A Saskatchewan Perspective

2012· article· en· W2461610452 on OpenAlexafffundabout
Heather Hayes, Beverley Brenna, Timothy R. Claypool

Bibliographic record

VenueInternational Journal for Cross-Disciplinary Subjects in Education · 2012
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversity of Saskatchewan
FundersUniversity of Saskatchewan
KeywordsCharterPlan (archaeology)LegislatureJurisdictionPolitical scienceInclusion (mineral)Perspective (graphical)SociologyMedical educationPublic relationsPsychologyPedagogyComputer scienceMedicineLawGeography

Abstract

fetched live from OpenAlex

Every country and corresponding educational systems have unique ways of administering and delivering services for students deemed to have special educational needs. Unlike our American neighbors, Canada relies on individual provinces and territories to assume their own legislative authority and develop appropriate laws, policies and programs to educate all of its students. Anchored in our Charter of Rights and Freedoms each jurisdiction develops educational systems that are inclusive in nature and consistent with the right of all of its citizens to access publically funded schools. This paper outlines one school division's attempt to pilot an innovative new Personal Program Plan (PPP) design in a province with a rich history of addressing the special needs of its students. A Masters of Education student in the Educational Psychology and Special Education Department of the University of Saskatchewan's College of Education decided to focus on her home school division's pilot project. Heather Hayes utilized a semi structured questionnaire to determine how six Educational Support Teachers (ESTs) responded to this new PPP template during the 2010-2011 school year. The template employed an Understanding by Design (UbD) format and utilized Performance Tasks (PTs) to demonstrate students' understandings. Recommendations for refinement and revision emerged from the study.

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)0.002
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 score0.372
Threshold uncertainty score0.630

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.066
GPT teacher head0.501
Teacher spread0.435 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2012
Admission routes3
Has abstractyes

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Same venueInternational Journal for Cross-Disciplinary Subjects in EducationSame topicFamily and Disability Support ResearchFrench-language works237,207