SPIRE Project: Parental Involvement in Young Children’s ESL Reading Development
Bibliographic record
Abstract
Realising the clear dichotomy between schools and homes, the Malaysia government has now turned its attention to stakeholders and called for an increase involvement of parents, who are critical in transforming the education system. However, a clear line of demarcation continues to exist between the two prime educators of young children. Schools have yet to fully embrace the concept of active parental involvement, particularly in academic matters and have yet to design formalised programmes that provide avenues for active parental involvement. The six month Smart Partnership in Reading in English (SPIRE) formalised programme, which created a platform for non-native parents to play a more active role in developing early literacy skills in young children, particularly, reading skills in English language, was explored as an option. 25 non-native five year old children, 25 parents and the class teacher were involved in the programme. A rich ESL literacy environment was created both at school and homes by making a wide range of English storybooks and multimedia materials available for the children to be taken home. The parent-teacher partnership scaffold the children’s reading development. The teacher reads storybooks in school and the parents at home. Qualitative data gathered via interviews, home visits, meetings and informal conference provided evidence for parents’ positive attitudes towards reading English storybooks and towards being involved in their child’s reading development, a positive link between levels of parental involvement and reading development, and the plausibility of involving non-native parents through a formalised reading programme. The SPIRE programme explored in the Malaysian context can also be adopted in non English speaking countries for similar purposes.
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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 | 0.018 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".