Relooking at the ESL Reading Comprehension Assessment for Malaysian Primary Schools
Bibliographic record
Abstract
The purpose of the study is to have a relook at the ESL reading comprehension assessment system for Malaysian Year Five students. Traditionally, the ESL teachers have been assessing and reporting on their primary year’s students by merely giving a composite grade with some vague remarks. This process has been used and is still being employed in spite of the numerous advances and progress that have been made in the realm of education. To gauge the students’ reading ability there is a need to take a serious look into the way teachers assess the students. In this ESL reading comprehension assessment system, a set of standardised generic reading comprehension test, a reading matrix and reading performance descriptors were developed. The findings revealed that Year Five respondents at reading performance Band 1, Band 2, Band 3, Band 4 and Band 5 have acquired the literal, reorganization and inferential reading sub-skills to a certain extent. The results obtained were found to be consistent indicating that the ESL reading assessment is reliable and valid to a large extent as revealed by a second administration of the test conducted in a few other selected primary schools. This ESL reading comprehension system can provide information on students’ reading ability at both the micro and macro levels. At the micro level, ESL teachers can plan their teaching instructions that tailor to the needs of the students. At the macro level, it can assist the district as well as the state education departments in Malaysia to plan reading programmes for primary school students.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".