A longitudinal observation of technology-mediated feedback for L2 learners of German
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 This article provides a longitudinal study of L2 learners of German who used a computer-assisted language learning (CALL) system that formed part of their regular classroom instruction. The 42 learners were enrolled in four consecutive university language courses at a beginner and intermediate level. The study compares two different feedback types, metalinguistic feedback and repetition, which were provided for the same exercise type over the course of four semesters. The exercise type required learners to build sentences from a set of predefined, uninflected words. While the grammatical focus of the exercises changed over time, many of the same grammatical constructions were present in all four courses. The study discusses the changes in learner performance and error correction behavior as students became more proficient in their knowledge of the L2 grammar and were exposed to the technology-mediated feedback that remained consistent throughout system use over the four language courses.
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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 | 0.001 |
| 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