ESL/EFL instructors’ classroom assessment practices: purposes, methods, and procedures
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
Student assessment plays a central and important role in teaching and learning. Teachers devote a large part of their preparation time to creating instruments and observation procedures, marking, recording, and synthesizing results in informal and formal reports in their daily teaching. A number of studies of the assessment practices used by teachers in regular school classrooms have been undertaken (e.g., Rogers, 1991; Wilson, 1998; 2000). In contrast, less is known about the assessment practices employed by instructors of English as a Second Language (ESL) and English as a Foreign Language (EFL), particularly at the tertiary level. This article reports a comparative survey conducted in ESL=EFL contexts represented by Canadian ESL, Hong Kong ESL=EFL, and Chinese EFL in which 267 ESL or EFL instructors participated, and documents the purposes, methods, and procedures of assessment in these three contexts. The findings demonstrate the complex and multifaceted roles that assessment plays in different teaching and learning settings. They also provide insights about the nature of assessment practices in relation to the ESL=EFL classroom teaching and learning at the tertiary 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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