Peer–Peer Interaction between L2 Learners of Different Proficiency Levels: Their Interactions and Reflections
Bibliographic record
Abstract
Abstract: This study draws on sociocultural theory to explore how adult ESL learners interact with either a higher- or a lower-proficiency peer during pair problem solving, and how they each perceive the interactions with their partners. Three ESL learners engaged in a three-stage task: pair writing; pair noticing; and individual writing with two learners, one with a higher and one with a lower L2 proficiency level than their own. These three learners engaged in stimulated recall sessions and were interviewed after all the tasks were completed. Each pair's pattern of interaction and attitude towards the interactions were analyzed. Data showed that the higher- and the lower-proficiency peers could both provide opportunities for learning when they worked collaboratively. Moreover, all three learners preferred to work with a partner who ‘shared many ideas,’ regardless of their proficiency level. These findings suggest that proficiency differences are not the decisive factor affecting the nature of peer assistance. Rather, the pattern of interaction co-constructed by learners may have greater impact.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".