"Designing Instrument for Science Classroom Learning Environment in Francophone Minority Settings: Accounting for Voiced Concerns among Teachers and Immigrant/Refugee Students".
Bibliographic record
Abstract
This study responded to the experiences of new immigrant and refugee francophone students and their teachers in science classrooms within the Division scolaire franco-manitobaine (DFSM), a school division in central Canada. The study focused, ultimately, on developing a Learning Environment instrument that sought to provide an accurate portrait of the cultural, linguistic, social and physical dimensions of classrooms in which new immigrant/refugee francophone students are located. It used a multi-phase mixed-method research approach to explore the learning experiences of immigrant/refugee students, their teachers, and the influences on student learning and integration into science classrooms within the DSFM. This study was organized into three phases. The first phase was richly qualitative focusing on eliciting 16 new immigrant students’ views on factors influencing their engagement, learning and overall transition into science classrooms and eight teachers’ views on their teaching effectiveness for supporting the transition of immigrant students in such contexts. Secondly, the data from the qualitative phase were used to develop a learning environment instrument. The development of the instrument involved the use of a focus group, followed by a large-scale statistical validation process involving 84 teachers using principal component, discriminant and pattern matrix analysis. The final phase of the study involved the application of the instrument in two of the schools wherein teachers and students had previously been involved in the qualitative phase. This phase assisted in determining whether the data obtained from teachers’ completion of the instrument corresponded with the data from the initial qualitative phase. The end-result of this three phase process is the Minority Science Curriculum Immigrant Questionnaire, an 8-scale, 32-item instrument that when completed by teachers gives a somewhat superficial but overall accurate description of existing conditions in classrooms in which immigrant and refugee students are situated. Through the completion of the instrument and consideration of the data emanating from the completion, teachers are in a position to move responsively, both individually and collectively, towards enacting practices that will support immigrant and refugee students in their transition to Canadian classrooms and the learning of science, especially within francophone minority settings.
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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 | 0.017 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".