A Problem Based Learning (PBL) Model in Developing Students' Soft Skills Aspect
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study aims to find out how to improve students' soft skills through Problem-Based Learning (PBL) of Educational Sciences in order to prepare superior Human Resources (HR). This research is qualitative research, the research subjects are students of the First Semester Guidance and Counseling Study Program, Faculty of Teacher Training and Education, Private University in Solo Raya. The object of research is the improvement of students' soft skills through PBL of Education Science courses in order to prepare for Superior HR. Data collection using interviews, observation, documentation, and test methods. The validity of the data uses method triangulation, source triangulation, and perseverance of observation. Analysis of the data using qualitative analysis. The results showed that PBL courses in education can improve students' soft skills which include aspects of self-awareness, trust, adaptability, critical thinking, organizational awareness, attitude, initiative, empathy, integrity, self-control, leadership, problem-solving, risk-taking, and Time management, in order to prepare superior HR.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it