Can social-emotional learning programs be adapted to schools in Pakistan? A literature review
Bibliographic record
Abstract
Growing research suggests that a social-emotional learning (SEL) curriculum in school has a positive impact on students’ emotional and academic learning. However, schools in Pakistan face multiple challenges for fostering social-emotional skills due to lack of awareness of the existence and benefits of SEL programs, inadequate funding in public schools, absence of motivation in private schools, and lack of teacher training. Several SEL programs have been adapted to different countries and diverse populations worldwide with promising results. But there is limited research on the applicability of these programs in Pakistani schools and in countries with similar cultural and educational context. We conducted a literature review on studies published between 2000 and 2019 to search for SEL programs applicable to schools in Pakistan. Nineteen studies were identified with SEL programs including PATHS, Second Step, Strong Kids, and Lions Quest. These programs were then evaluated based on their ease of adaptation and implementation and cost effectiveness to elementary schools in Pakistan. Results support the applicability of PATHS based on all the evaluation criteria. Implications and considerations for the adaptation of PATHS in elementary schools in Pakistan are discussed.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".