Introducing and Testing a Measurement Tool for English Language Proficiency: Aisha’s Tool
Bibliographic record
Abstract
The IELTS English proficiency tests are discussed as being highly effective in determining students’ level of proficiency in the language. However, the study points out that the processes involved in the administration of the tests along with the associated cost make affect the effectiveness of its use in the assessment of learners. A Sentence Pattern test is offered as an alternative with 97 participants taking part in the assessment to test its effectiveness. Each of the non-native study participants is subjected to both the SP test and the IELTS test for the establishment of the correlation in the results posted for the two tests. The findings demonstrate that the students’ performance in the IELTS test correlated with their corresponding SP test results. High performing students in the IELTS test also posted high scores in their SP test. As demonstrated in the study, the correlation in the results illustrates the effectiveness of the SP test as an alternative for the IELTS tests in proving English language proficiency.
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".