ESL reading comprehension amongst second cycle high school students, students' requests
Bibliographic record
Abstract
The intention of this study was to investigate what are second cycle secondary students' favorite teaching techniques regarding learning reading comprehension in a second language inside the classroom. Another aim was to find out what was their favorite competency to practice during class hours. The best available method to pursue this study was a quantitative survey method. The questionnaire focused on different reading comprehension teaching techniques that are often used inside classrooms. Students had to position themselves in terms or enjoyment of certain teaching techniques used inside the classroom. Out of the 600 questionnaires sent out to the second cycle students of La Magdeleine High School, 227 responses were received. The results of the study indicated that students understand the values of doing the majority of reading exercises proposed inside the classroom, but were sometimes experiencing some form of anxiety, laziness and resistance with some of those activities. The principal conclusion is that teachers need to combine some of the students' favorite teaching ESL reading comprehension techniques and also use some techniques that aren't enjoyed as much by students and attempt to adapt them in a manner that would keep students motivated throughout those classes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".