Exploring Online Preschool Programs in children’s academic preparation for elementary school: a case study in Indonesia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it