Classroom-based Research in LESLLA Contexts: Methodological Challenges and Affordances
Bibliographic record
Abstract
Classroom-based research (CBR) in second and foreign language education takes place in authentic classroom settings, where researchers have limited control over variables. Unlike laboratory-based studies, CBR focuses on real-world learning environments and has evolved into a systematic field of inquiry. It encompasses both learner-focused studies, which explore learning processes and outcomes, and teacher-focused studies, which examine pedagogy, practices, and beliefs. In the context of Literacy Education and Second Language Learning for Adults (LESLLA), CBR provides valuable insights into language learning, literacy development, and social participation. Despite growing interest in this area, methodological approaches remain underexplored. This article reports on four studies conducted in Canada and Australia illustrating different research designs within the CBR framework. The different research designs and their contributions to LESLLA scholarship are discussed and analyzed, followed by a discussion of lessons learned through implementing CBR in diverse contexts. By reflecting on research experiences, we highlight methodological strengths and challenges, offering insights to support the advancement of evidence-based practices for LESLLA learners and educators.
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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 | 0.054 | 0.072 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.013 | 0.017 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".