Saudi Parents' Perceptions of the Kind of Help they Offer to their Primary School Kids
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".