MétaCan
Menu
Back to cohort
Record W1568870895

Exploring Inclusive Education from the Perspective of Preservice Teachers

2010· article· en· W1568870895 on OpenAlexaffabout
Elizabeth Collett, Mary Jane Harkins

Bibliographic record

VenueJournal of Bioresource Management · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsPerspective (graphical)Mathematics educationPedagogyPsychologySociologyArtVisual arts
DOInot available

Abstract

fetched live from OpenAlex

This study investigates the nature of preservice secondary teachers’ perceptions of the Individual Program Plan (IPP) process enrolled in a two-year Bachelor of Education program in a university in Eastern Canada. Teachers’ perceptions have been a vital feature in the successful implementation of the IPP process, and inclusion in general. Therefore, it will be crucial for educational leaders and stakeholders to have a clear understanding of preservice teachers’ perceptions of the IPP process and the factors that affect those perceptions prior to entering the profession. Results suggested that secondary preservice teachers’ tended to hold generally positive perceptions of the IPP process. A majority of preservice teachers responded positively to statements regarding the feasibility and relevance of the IPP process and held moderately positive views regarding accountability to the child on the IPP and to the process. Findings indicted however, that a majority of preservice teachers reported feeling unprepared to participate in the IPP process. Recommendations for preservice teacher education are suggested.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.008
Scholarly communication0.0100.005
Open science0.0010.011
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.326
Teacher spread0.292 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Bioresource ManagementSame topicCollaborative Teaching and InclusionFrench-language works237,207