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Record W2801604092 · doi:10.5539/ies.v11n5p85

Assessment of Psychological Readiness Situation of Students Starting to Primary School

2018· article· en· W2801604092 on OpenAlexvenueno aff
Medera Halmatov

Bibliographic record

VenueInternational Education Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Professional Development and Motivation
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyMathematics educationReading (process)PopulationClass (philosophy)Grade levelPrimary educationAcademic yearMedical educationPedagogySociologyMedicineDemography

Abstract

fetched live from OpenAlex

There are important responsibilities expected from primary school students. The most important of these are the learning of reading, writing and arithmetic. There is a “psychological readiness” aspect besides reading, writing and arithmetic in order to be ready for the school. In this study, among the first-grade students, those who were academically ready were compared with those who were psychologically ready. In this research, screening model is used from quantitative research methods. Screening surveys allow the answers of questions such as “what, where, when, how often, at what level, how” (Wellington, 2006). The population of the research was composed of the children who started to the first class of primary schools in the provincial center of Ankara and the provincial center of Agri in the 2016-2017 academic year. The sample group of the study consisted of 327 students. 80 girls and 75 male students out of 322 students are chosen from the schools in the provincial center of Ankara, and 87 girls and 80 boys are chosen from the schools in provincial center of Agri. While the number of literate students at the basic level is 95 before the school starts, only 46 students are able to link shoe laces. While a total of 255 students knew all the main colors before the school started, only 31 students knew their home address. In addition, 90 students were found to have problems complied with the school rules. 39 students are shy in the classroom.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.153
GPT teacher head0.572
Teacher spread0.419 · 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 designObservational
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
Published2018
Admission routes1
Has abstractyes

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