Diagnostic and Developmental Potentials of Dynamic Assessment for L2 writing
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
Many theoretical claims have been made about the role and effectiveness of Dynamic assessment (DA) in L2 learning. It has, for example, been suggested that this kind of approach provides learners with appropriate and timely feedback in a supportive and interactive environment and in ways that can maximize L2 development (Poehner & Lantolf, 2013). However, issues remain about how to measure the effects of DA and how these effects compare with those of traditional ways of providing feedback. This qualitative case study explores the role of interactional DA in the development of L2 writing skills. Three advanced EFL students each produced first 10 writing samples in ten individualized writing sessions. They then engaged in 10 collaborative tutorial sessions with their teacher and received feedback based on the DA principles. The interactions were recorded, transcribed, and analyzed. The results revealed important diagnostic and treatment effects for interactive DA.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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