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Record W4404623825 · doi:10.37119/ojs2024.v29i3.757

Children as Levels: Early Understandings of Reading Development Conceptualized by Preservice Teachers

2024· article· en· W4404623825 on OpenAlexaffvenue

Bibliographic record

Venuein education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsReading (process)PsychologyMathematics educationPedagogyLiteracyThematic analysisQualitative researchSociologyLinguistics

Abstract

fetched live from OpenAlex

This qualitative study surfaced beliefs around reading instruction and reading development at the onset of an elementary literacy methods course. Prior understandings and knowledge around reading instruction and reading acquisition emerge through various experiences and have the potential to contradict notions presented by teacher educators. This inquiry explored prior beliefs held by five preservice teachers (PSTs) about the nature of reading and the teaching of reading, drawing on a thematic analysis (Braun & Clarke, 2006) of a pre-course survey. Results indicated that early understandings of reading development and pedagogy appear to rely on levelling systems for assessing and identifying students’ acquisition of reading skills, as well as organizing students into levels for instruction. Beliefs that reading development progresses through a levelled gradient are problematic for both teacher and student, shifting attention away from the complex nature of reading acquisition and the skills required to develop proficiency. While no generalizable statement can be made regarding PSTs’ most frequently held beliefs, this pilot study puts forward the idea that understanding PSTs’ prior beliefs is a critical part of teacher education. Intentional opportunities to unpack prior beliefs and understandings may offer insight for teacher educators to engage students in discourse and experience cognitive dissonance around inconsistencies, making space for learning and unlearning. Keywords: preservice teachers, teacher education, levels, reading, reading assessment

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)0.001
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 score0.111
Threshold uncertainty score0.999

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 studies0.0000.000
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 head0.111
GPT teacher head0.413
Teacher spread0.302 · 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.

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
Published2024
Admission routes2
Has abstractyes

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