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Record W7133033937

Adapting instruction: general educator's responses to variability in the academic ability of their students

2003· dissertation· W7133033937 on OpenAlexaboutno aff
Cecilia Kwon

Bibliographic record

VenueTSpace · 2003
Typedissertation
Language
FieldSocial Sciences
TopicEducational Environments and Student Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsSet (abstract data type)Adaptation (eye)Range (aeronautics)Academic achievementStudent teacherTeaching method
DOInot available

Abstract

fetched live from OpenAlex

The main purposes of this study were threefold: to investigate the range of student academic and behavioural ability in general education classrooms; to examine the level of instructional adaptation provided by teachers; and to explore the relationships between a set of teacher variables and the amount of adaptive instruction teachers are making in response to the range of student learning needs. Twenty-nine teachers and 451 students from schools in southern Ontario participated in the study. Teachers described the level of students' academic ability, and acceptable behaviour as well as the level of instructional adaptations they provided their students. Measures of effective teaching behaviours, teacher attitudes and beliefs and teaching efficacy were also obtained. Results indicated that there is a diverse range of student ability and behaviour present in classrooms and also that teachers are exhibiting more curricular adaptations in response to greater variability of student academic ability.

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)0.010
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.001
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 head0.068
GPT teacher head0.475
Teacher spread0.407 · 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

Citations0
Published2003
Admission routes1
Has abstractyes

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