Exploring Online Preschool Programs in children’s academic preparation for elementary school: a case study in Indonesia
Bibliographic record
Abstract
The COVID-19 pandemic has transformed preschool education, expanding beyond traditional methods to include digital learning innovations, even in early childhood education. This study investigates the implementation of Islamic education through an Online Preschool Program in Indonesia. Using a qualitative approach, the research involved 20 parents as participants over eight months. Data were collected through interviews, observations, and document analysis and analyzed using NVIVO 12 software in conjunction with Miles and Huberman’s framework. The findings highlight the diverse online preschool programs available, parents’ motivations for and challenges in enrolling their children, and the perceived benefits and impacts on both parents and children. Key results show that the Online Preschool Program effectively supports parents in integrating Islamic education at home while also contributing to children’s intellectual, social, and religious development and enhancing their readiness for formal schooling. This study fills gaps in previous research by providing an in-depth analysis of the role of online preschool programs in Islamic education during early childhood.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".