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Record W3040492042 · doi:10.5430/wje.v10n3p199

The Relationship Between Prospective Teachers' Learning Responsibility and Their Readiness for Teaching Profession

2020· article· en· W3040492042 on OpenAlexvenueno aff
Umut Birkan ÖZKAN, Kemal Oğuz Er

Bibliographic record

VenueWorld Journal of Education · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicEducation Practices and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyLikert scaleScale (ratio)Medical educationMathematics educationMedicineDevelopmental psychology

Abstract

fetched live from OpenAlex

This study aims to investigate the relationship between prospective teachers' level of performing behaviors related to learning responsibility and their level of readiness for teaching profession. The pre-service teachers (n = 408), who are in their second year at the Faculty of Education, filled in the Learning Responsibility Scale and the Readiness Scale for Teaching Profession. The Learning Responsibility Scale consists of 28 Likert-type questions and includes the subscales entitled preparation for learning, active engagement in learning, monitoring learning outcomes and enriching learning. Pearson's correlations and multiple linear regression analyzes were used to analyze the data. The results of the analysis revealed that there was a negative by moderately significant relationship between the prospective teachers’ learning responsibilities and their readiness for teaching profession. In addition, it was found out that the variables of learning responsibility explained 12% of the variation in prospective teachers' scores of readiness for the profession. Active engagement in learning contributed negatively to explain the prospective teachers’ readiness for teaching profession.

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)0.003
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 score0.383
Threshold uncertainty score0.785

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 integrity0.0000.001
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 head0.101
GPT teacher head0.364
Teacher spread0.263 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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