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Record W7132954034

Uncovering Middle School's Teachers' Perceptions about Learning: A Reflective Practice Approach

2014· dissertation· W7132954034 on OpenAlexaff
Antoinette Andrea Carnegie

Bibliographic record

VenueTSpace · 2014
Typedissertation
Language
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsReflective practicePerceptionReflection (computer programming)Focus groupInterpretative phenomenological analysisProfessional developmentPhenomenology (philosophy)Experiential learning
DOInot available

Abstract

fetched live from OpenAlex

Teachers' beliefs and perceptions play a significant role in how teachers experience learning and strongly influence what they will, or will not do in their classrooms. This study seeks to understand how teachers learn by using reflective practice to interpret teachers' collective experiences. Interpreting teachers' perceptions will result in new ways of understanding the types of learning experiences and professional development programs that best support their needs. A phenomenological approach was utilized in order to interpret the collective experiences of nine middle school teachers. Data collection included focus group dialogues, semi-structured interviews and reflective journals. Findings revealed that teachers desire the need to be in charge of their own learning; critical reflection and inquiry are significant for learning to take place and that teachers learn while sharing and exchanging best practices with each other and within supportive environments.

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)0.018
metaresearch head score (Gemma)0.020
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 score0.018
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.012
Scholarly communication0.0090.007
Open science0.0010.004
Research integrity0.0010.003
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 head0.189
GPT teacher head0.495
Teacher spread0.306 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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