Inculcating Noble Values for Pre-Service Teachers
Bibliographic record
Abstract
This study aims to identify the noble values that are being cultivated and practiced in the process of teaching and learning of Ethnic Relations Course for pre-service teachers. Element values investigated including the identity, loyalty, patriotism, tolerance, cooperation and pride as a Malaysian. This quantitative research employs a survey method involving 35 lecturers from five different institutes of teacher education in Malaysia. The participants were selected using stratified random sampling. It was then followed by a simple random sampling. A set of questionnaire was constructed based on the earlier publications and previous empirical research report. Questionnaire data were analyzed using the Statistical Package for the Social Sciences software (SPSS). Findings indicated that the level of lecturers’ knowledge in the curriculum for Ethnic Relations Course is high. Overall mean score of lesson plans and teaching preparation by the lecturers for Ethnic Relations Course in applying the noble values are at a very high level. Similarly, the overall findings of the mean score for teaching and learning practices carried out by the lecturers in applying the noble values are also at very high levels. The results of the Pearson Correlation test showed a strong relationship between the lecturers' knowledge and teaching activities, and a strong relationship exists between the lectures' knowledge and learning practices. This means that the cultivation process to promote noble values by the lecturer is associated with knowledge possessed by the lecturers. Indeed data from this study indicated that the curriculum and pedagogical knowledge are prerequisite for the cultivation of noble values. In general, this study demonstrated the importance of early planning done by the lecturers in terms of learning and teaching in order to make the cultivation process of noble values can be achieved.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".