Computer Literacy and Secondary School Teachers’ Job Effectiveness in Kwara State
Bibliographic record
Abstract
This study investigated the relationship between computer literacy and teacher’s job effectiveness of secondary schools in Kwara State, Nigeria. The study was a correlation survey. Stratified random sampling technique was used to select 1800 respondents. The respondents were comprised of 40 principals, 80 vice principals, 120 heads of departments, 120 teachers, and 200 prefects totaling 600 respondents from each of the three senatorial districts in Kwara State. Five research hypotheses were generated for the study. Computer Literacy Questionnaire (CLQ) and Teacher’s Job Effectiveness Questionnaire (TJEQ) were used to collect relevant data. The instruments were validated and the reliability index of .63 and .69 was obtained for the (CLQ) and (TJEQ) respectively. The data obtained were analyzed using Pearson Product Moment Correlation statistic and t-test statistics and tested at .05 significance level. The findings revealed that computer literacy encourages appreciation and utilization of computers during teaching learning processes which invariably aid teachers’ job effectiveness, such as job performance, record keeping, school discipline, and supports students’ academic performance. It also revealed that computer literate teachers perform better in the schools than non-computer literate teachers in the schools by making use of computers during their teaching, the use of computers arouse students’ interest in the teachings which supports effective student academic performance. Those schools with non-computer literate teachers were never exposed to computers’ usage which detracted from effective teaching and learning in the schools. It was recommended that computer systems be supplied to every school for the teachers and students use by the government, nongovernmental agencies, and philanthropists. Also all teachers should be encouraged by the government through provision of in service computer training opportunities. In doing so, teachers’ job effectiveness in Kwara State secondary schools will improve.
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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 | 0.001 | 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 | 0.001 |
| 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".