The Effect of Inquiry-Based Learning Strategy on Developing Saudi Students’ Meta-Cognitive Reading Comprehension Skills
Bibliographic record
Abstract
The main aim of the present study is to develop first year university students' meta-cognitive reading comprehension using inquiry-based learning strategy. Subjects of the study were 106 (53 males, 53 females) first year university students enrolled in two classrooms at colleges representing urban and sub-urban areas in Shaqra University. The present study adopted a quasi-experimental design with one-group. The results of present study showed that first year university students should have the following reading comprehension skills: guessing, description, analyzing and identifying the main idea. Accordingly, the suggested strategy was designed and used to develop these identified meta-cognitive reading comprehension skills. A reading comprehension test, based on the identified skills, was designed and used as a pretest and posttest. Findings of the present study showed that there were statistical differences between the students’ mean score on the pretest and posttest in favor of the posttest, and there were statistical differences between the students’ mean score on the posttest at the level of .05. This can be attributed to the effectiveness of using the inquiry-based learning strategy in developing students' meta-cognitive reading comprehension skills at the university stage.
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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".