Developing a Model of English Digital Poster Book for Teaching English in Indonesia’s Early Childhood Education
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
Teaching English to Young Learners (TEYL) means introducing English as a foreign language in learning to children. Children should learn a foreign language earlier to expand the boundaries of the world and encourage them to face dynamic international development. Nowadays, children are immersed as native digital users more so than generations past. Therefore, this research is a research and development (R&D) that aims to design, develop and validate an English digital poster book Model teaching English in Indonesia’s early childhood education using the ADDIE Models. This model consists of five steps: analyze, design, develop, implement, and evaluate. The product of this research was developed and then evaluated by four content experts. The result showed that all content experts considered that the final version of an English digital poster book for teaching English in Indonesia’s early childhood education was practical and valid. Based on the observation, most children are excited to use this product in learning English. Teachers also claimed that this product was so interesting, easy to understand, appropriate to the level of difficulty for children in learning English, easy to operate, and can guide them to in teaching English at kindergarten level.
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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