The Text Type Effect on Moroccan EFL University Learners’ Reading Achievement
Bibliographic record
Abstract
This study is a potential endeavor to make an inquiry into the perceived effect of text typology on reading achievement gains among Moroccan English as a foreign language (EFL) learners. It also evinces whether strategy instruction can be an influencing variable on learners’ reading achievement with regards to text type (i.e., narrative, expository). Indeed, incorporating two primary text genres (i.e., narrative, expository) in the conduct of this current research, the study is intended to substantiate any marked interrelatedness existing between text typology and reading achievement at the pre- and post-testing stages among EFL university learners. For assuring a thorough, rich investigation of this stated postulate, two sampled Moroccan EFL groups (n=113), as first-year English majors, were addressed. The obtained data were collected by means of a corpus of research instruments such as reading comprehension tests (i.e., pre-test, post-test), strategy training and reading comprehension texts (i.e., narrative, expository). The findings showcased that text genre is not a significant, influential variable on reading achievement scores among the control (n=50) and treatment groups (n=63). Finally, the study puts forward some useful implications pertaining to EFL text processing/ analysis and an explicit mention of some limitations, which encountered the undertaken study, is made.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".