AFL Research in the L2 Classroom and Evidence of Usefulness: Taking Formative Assessment to the Next Level
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
Abstract: Recent trends in classroom evaluation seek innovative formative assessment intended to benefit learning, called assessment for learning (AFL), largely unresearched in the second language (L2) classroom (Rea-Dickins, 2004). This paper calls for taking L2 testing research to the next level, investigating the ‘usefulness’ ( Bachman & Palmer, 1996 ; Bachman, 2005 ) of formative assessment and AFL. We present data and preliminary results of a study of assessment practices in pre-university English for Academic Purposes (EAP) classes; participants include 9 teachers and 42 students. We describe five types of feedback from speaking tasks, and the assessment bridge, the area of classroom practice linking assessment, teaching and learning. A mixed-methods approach was used, including curriculum document analysis, questionnaires, interviews and classroom observations.
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 | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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