EAL Teachers’ Beliefs About the Assessment of Language Learning in State-Funded Primary and Secondary Schools
Bibliographic record
Abstract
This study presents the results of an investigation on beliefs about learning assessment involving nine in-service EAL (Note 1) teachers from state-funded primary and secondary schools in Santarém, western Pará, Brazil. It capitalises on authors who discuss beliefs in the educational context, considering general learning assessment, English learning assessment, and beliefs about teaching English in state-funded schools. Data were gathered by means of semi-structured interviews and analysed following the principles of content analysis as an attempt to find points of convergence and divergence among the beliefs found. Results indicate that most of the participants’ beliefs are not consistent with the Brazilian National Curriculum Parameters for teaching additional languages, and that the participants appear to misunderstand the concepts of feedback, and diagnostic, formative, and continuous assessments. These findings can be used to improve proposals for initial and continuing education of EAL teachers both in western Pará and in the other regions of the country, as a means to promote their compliance with the National Curriculum Parameters.
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".