Problems and Needs in Instructing Literacy and Fluency of Reading and Writing Skills of Thai L1 Young Learners
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 purposes of the current study were 1) to investigate problems in instructing literacy and fluency of reading and writing of Thai L1 young learners, and 2) to investigate needs in instructing literacy and fluency of reading and writing of Thai L1 young learners. There were 2 groups of participants including a group of 15 samples answering a questionnaire and a group of 10 samples taking part in an interview session. The instruments were 1) a questionnaire and 2) a structured interview to study problems in instructing literacy and fluency of reading and writing skills of Thai young learners and 3) a questionnaire and 4) a structured interview to study needs in instructing literacy and fluency of reading and writing skills of Thai young learners. The quantitative data were analyzed using percentages, mean scores, and standard deviation. Meanwhile, the results of the interview were analyzed by a qualitative analysis method. The results of the study show that 1) problems in instructing literacy and fluency of reading and writing skills of Thai L1 young learners are the learners’ knowledge in textual language systems in terms of spelling, meaning, and uses in both receptive and productive manners; 2) needs in instructing literacy and fluency of reading and writing skills of Thai L1 young learners rely on finding possible solutions to solve these problems considering the nature of young learners’ learning.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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