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Record W2041332515 · doi:10.1177/0022487108321378

Adding Value to Public Schools

2008· article· en· W2041332515 on OpenAlex
Timothy R. Konold, Brian R. Jablonski, Anthony Nottingham, Lara Kessler, Stephen Byrd, Scott Imig, Robert Q. Berry, Robert F. McNergney

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.

Bibliographic record

VenueJournal of Teacher Education · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSchool Choice and Performance
Canadian institutionsColumbia College
Fundersnot available
KeywordsMathematics educationPsychologyPerceptionPupilValue (mathematics)Academic achievementScale (ratio)The artsPedagogy

Abstract

fetched live from OpenAlex

This research investigated the value added to middle school public education by pedagogically trained college students. An experimental design was employed in which 680 middle school pupils were randomly assigned to instructional groups. University arts and sciences students were put into two groups on the basis of those with formal teacher training and those without. Each student taught four lessons to his or her instructional group. Pupils were administered pre- and posttest measures on the content delivered in the four lessons and a reflection scale on lesson difficulty. Teachers' behaviors were recorded and scored independently by two trained observers. Results indicated that pupils' achievement was influenced by their perceptions of task difficulty and that teaching behaviors had a statistically significant influence on adjusted pupil achievement outcomes among students with formal pedagogical training. These results support the contention that pedagogical preparation of teachers adds value to middle school public education when measured in terms of pupil academic learning.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.301

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.063
GPT teacher head0.378
Teacher spread0.316 · 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