Pemupukan Kemahiran Insaniah Melalui Kursus Bina Insan Guru dalam Kalangan Siswa Guru Institut Pendidikan Guru
Bibliographic record
Abstract
This concept paper discussed the various strategies of fostering soft skills through BIG programme at the Institute of Teacher Education (IPG), which has become the medium to produce a prospective teacher who is truly committed, brilliant and versatile when served as a teacher in the future.Student teachers had to undergo this IPG Moral Building Teachers programme (BIG) based on certain semester for six levels.The activities in the BIG programme involved camping, self-confidence when doing water activities, confidence in doing adventurous activities, building a good network of social relations and values inculcation through the training activities of the small group.The soft skills are nurtured through BIG is active and patriotic in the first phase, accountability, trust, creativity and innovative in the second phase, social etiquette, protocol, etiquette speaking, effective listening skills, table manners, dress code in the third phase, higher order thinking skills when making planning and operations in the fourth phase, the characteristics of leadership, school management, school climate, infrastructure and info structure in the school curriculum in the fifth phase and continuously improving self professionalism in the sixth phase.The methodology used were qualitative study followed by content analysis and observation followed.The content analysis was done based on the IPG Guidelines for Bachelor of Teaching (Panduan Program Ijazah Sarjana Muda), and through observing the activities carried out by the student teachers during the BIG programme.The findings indicated that the effectiveness of the BIG program in nurturing the soft skills in student teachers at IPG.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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; both teacher heads agree on what is shown here.
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".