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Record W4308348613 · doi:10.1002/pits.22826

Preservice teachers' impressions of psychoeducational reports

2022· article· en· W4308348613 on OpenAlexaff
Deanna C. Friesen, Colin King, Barbara Fenesi

Bibliographic record

VenuePsychology in the Schools · 2022
Typearticle
Languageen
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyPlan (archaeology)Class (philosophy)Lesson planMedical educationQualitative researchTeacher preparationPedagogyMathematics educationTeacher education

Abstract

fetched live from OpenAlex

Abstract The purpose of the current study was to investigate how preservice teachers perceived the utility of a psychological report for their practice (e.g., creating an individual education plan or a lesson plan). Teacher candidates, who were enrolled in an Inclusive Education course, used fictional psychological reports as the basis for course assignments and were then asked to rate and describe the utility of each report section. Participants reported that most sections of the report were very accessible, and that the recommendations section was the most useful for their teaching practice. Qualitative comments revealed that teacher candidates were employing a student‐focused lens and identifying information that would enable them to support students in their class. Implications are discussed with respect to how to close the knowledge gap between educators and school psychologists.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.501
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0200.000

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 head0.056
GPT teacher head0.449
Teacher spread0.393 · 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 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

Citations2
Published2022
Admission routes1
Has abstractyes

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