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Record W3154124529 · doi:10.5539/hes.v11n2p166

An Examination of Historical Literacy Perceptions of Social Studies Preservice Teachers in Terms of Various Variables

2021· article· en· W3154124529 on OpenAlexvenueno aff
Osman AKHAN, Samet Çiçek

Bibliographic record

VenueHigher Education Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsCompetence (human resources)LiteracyPerceptionPsychologySocial studiesMathematics educationSample (material)Higher educationScale (ratio)Likert scalePedagogySocial psychologyDevelopmental psychologyChemistryGeographyPolitical science

Abstract

fetched live from OpenAlex

The aim of this study is to determine the historical literacy perception levels of social studies preservice teachers and to examine them in terms of various variables. In this framework, the survey model, one of the quantitative research methods, was used in the research. The sample of this study consisted of 134 social studies preservice teachers studying at the faculty of education of a state university in the 2019-2020 academic year. The data in the study were collected with the "Historical Literacy Perception Scale" developed by Uluçay (2019), after obtaining the necessary permissions. The data obtained from the scale were analyzed using the statistical package program. Considering the results obtained from the study, it was concluded that the social studies preservice teachers in the sample had high levels of historical literacy perception. In addition, their perception levels increased according to the variables of mother's education level and frequency of watching historical movies. On the other hand, their perceptions did not change / differ according to the variables such as grade level, gender, father's education level, tendency to read history books, to follow historical publications and competence of the teachers. Considering the results of the research in general, it can be said that the preservice teachers benefited sufficiently from their university and pre-university education in terms of historical literacy skills.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.141
GPT teacher head0.469
Teacher spread0.328 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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