Better Together: Combining Reading and Writing Instruction to Foster Informative Text Comprehension
Bibliographic record
Abstract
This study conducted with French-speaking students living near Montréal, Canada, assess if teaching the shared knowledge between reading and writing of informative texts improves reading comprehension in fourth grade (9–10 years old) to a greater extent than teaching that separates reading and writing. Teachers participating in the experiment received teaching material and training during 1 year prior to data collection. The teaching approach involved three steps and included activities that were spread over 20 weeks and lasted approximately 2 h per week. Teachers from the non-experimental condition teach reading comprehension and writing strategies in a dissociated way. Students (n = 248) were tested with a reading comprehension assessment in September and May. Results show a significant interaction between time and groups, suggesting a moderate effect size. The experimental group started the experiment slightly behind in reading comprehension and ended up significantly better than the control group. Teaching how to articulate knowledge in reading and writing might favor reading comprehension of informative texts better than teaching strategies in a dissociated way. However, the introduction of such an approach required continuous training and robust teacher support.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".