MétaCan
Menu
Back to cohort
Record W2788785393 · doi:10.5539/elt.v11n3p102

Saudi Parents' Perceptions of the Kind of Help they Offer to their Primary School Kids

2018· article· en· W2788785393 on OpenAlexvenueno aff
Salameh S. Mahmoud

Bibliographic record

VenueEnglish Language Teaching · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyConstructivePerceptionCurriculumMathematics educationDevelopmental psychologyMedical educationPedagogyProcess (computing)Medicine

Abstract

fetched live from OpenAlex

Parents in the Kingdom of Saudi Arabia usually help their kids in early school years especially in English language. This help varies according to the parents' level of education, the degree of difficulty of the curriculum and the type of school their kids join. Sometimes they give the right kind of help that matches the teachers' strategies and objectives and most of the time their help is in the wrong direction. This study aims at investigating the Saudi parents’ perceptions of the kind of help they offer to their primary school kids in order to decide which help is constructive and which is misleading. To this end, the researcher designed a 29-item questionnaire divided into three categories under three subtitles and distributed it to one hundred parents. The results of the study showed that the majority of parents agreed that a healthy constructive parents-teachers relationship is very important for a successful kid at school. It also showed that the parents' help whether direct through helping the kid in homework, assignments or projects or indirect through saving a motivating environment or involving him in cocurricular activities is vital for a fruitful academic life for kids. The study recommended that certain kinds of help such as direct translation to L1or the exaggerated help that sometimes reaches to doing assignments on behalf of kids should be avoinded.

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)0.001
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 score0.052
Threshold uncertainty score0.873

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
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 head0.018
GPT teacher head0.317
Teacher spread0.299 · 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

Citations16
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueEnglish Language TeachingSame topicParental Involvement in EducationFrench-language works237,207