The Effects of Applying the Problem-Based Learning (PBL) Theory on the 11th Grade Scientific Stream Students’ Acquisition of the Concepts of Physics and the Development of Their Critical Thinking Skills
Bibliographic record
Abstract
The current study explores the effects of applying the Problem-Based Learning (PBL) Strategy on the 11th-grade scientific stream Jordanian students' acquisition of the concepts of developing their critical thinking skills. This study's significance lies in its emphasis on the worldwide growing tendency to apply PBL teaching strategies that consider developing the students' mental capabilities and creative thinking skills and, consequently, help them solve status-de- facto educational problems face and solve problems in their lives. The researchers used the experimental method in their study, which is based on studying the relationship between the independent and the dependent variables. For this reason, three study student groups, equal in their age, intelligence, academic achievement, social and economic standing, were selected. Two experimental groups were exposed to the independent variable (PBL) method, whereas the third control group was not exposed to the independent variable. Instead, it was taught in the Motion Unit in Physics by using the traditional teaching method. The results of the study were analyzed statistically, applying for the SPSS program. The Arithmetic Mean, the Standard Deviation, the Torsional Modulus, and the T-Test were used for the study analysis. The study results revealed that the two (PBL) experimental groups have proved to be much more superior to the control group's third traditional teaching method.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".