Action Research for Unearthing Paradigmatic Assumptions in a MALL Environment: Reflecting on a WhatsApp™ Intervention to Support Foundation Year Students' Communication
Bibliographic record
Abstract
The current study is the first of a two-part action research study to support student's communication using WhatsApp™ at a Foundation Year language program in Saudi Arabia. The study focused on unearthing the assumptions behind the support using factual knowledge gathered from 24 female students. Using a questionnaire that included ten closed-ended questions and a focus on three open-ended questions, the data indicated that the students found the MALL environment and the content agreed with supporting their learning. Some students opined their challenges of remaining in the environment. Others found learning in the MALL environment helpful and improved their reading and writing. Taking an action research approach allowed the two teacher-researchers to unearth the paradigmatic purpose behind supporting students in the MALL environment. The current research falls within the scope of surfacing and linking MALL action with MALL practice, contributing to the active bridging of the paradigmatic purpose of sharing content with students outside their classes in a MALL environment.
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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 | 0.038 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".