The Role of Teacher Education and Nigerian Teachers In National Development: The Way Forward
Bibliographic record
Abstract
The study is aimed at evaluating the roles of teacher education and Nigerian teachers in National Development. It is obvious that qualified competent and dedicated teachers are the major instrument for achieving educational goals and National Development. The researcher observed that inspite of the current changes in teachers’ salary structure, teachers’ salaries are not paid as at when due. They are often molested and abused by students, parents and the entire society. Nevertheless, through teacher education, teachers have contributed to national developments like election, census. They also participate in creating awareness among the citizens. Teachers are the real agents that help in the development of various skills and competencies. It should be noted that the more good teachers the nation has, the more the solid citizens and hence more development of the country. To attain the objective of the study the researcher adopted survey design approach through the use of questionnaire developed and validated by the researchers and two experts in measurement and evaluation course. The sample consisted of 118 respondents who are Cross River State indigenes. The data was analyzed using Pearson product moment correlation coefficient. All the hypotheses were tested at 0.05 level of significance. The result indicates that there is a relationship between Nigerian teachers’ professional roles and national development. It was recommended that the development of teachers, adequate rewards, good welfare packages, and incentive plans and motivation should be sustained.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".