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Record W1951585130

THE THREE BLOCK MODEL OF UNIVERSAL DESIGN FOR LEARNING (UDL): ENGAGING STUDENTS IN INCLUSIVE EDUCATION

2013· article· en· W1951585130 on OpenAlex
Jennifer Katz

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsBelongingnessStudent engagementPsychologyIntervention (counseling)AutonomyMathematics educationDemographicsAcademic achievementPedagogySocial psychologySociology
DOInot available

Abstract

fetched live from OpenAlex

When the Three Block Model of Universal Design for Learning (Katz, 2012a) is implemented, outcomes related to student academic and social engagement were investigated in this study. 631 students from Grades 1 to 12 attending ten schools located in two rural and three urban school divisions in Manitoba took part in the study. Intervention and control groups were assessed pre and during intervention for academic and social engagement. Student and teacher demographics, types of task and grouping structures being assigned were investigated to determine impacts on engagement. Students completed several measures of classroom climate, belongingness, student autonomy, and inclusivity/exclusivity, and a selected sample were observed to obtain detailed information about their engaged behavior. Data were analyzed using repeated measures MANCOVAs. The intervention significantly increased students ’ engaged behavior, particularly active engagement, and promoted social engagement through increased peer interactions, student autonomy, and inclusivity.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.126
Threshold uncertainty score0.440

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.028
GPT teacher head0.327
Teacher spread0.299 · 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

Quick stats

Citations134
Published2013
Admission routes2
Has abstractyes

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