The Influence of Locus of Control, Study Habits and Gender on the Academic Achievement of Senior Secondary School Physics Students in Ibadan Metropolis
Bibliographic record
Abstract
The study investigated the relationship between Locus of Control, Study Habit, Gender and Academic Achievement of senior secondary school physics students in Ibadan metropolis. The descriptive survey research design was adopted. Seven hundred and fifty senior secondary two (SS2) Physics students were randomly selected from 30 schools in the five local Governments areas of Ibadan Metropolis. Three instruments were used for data collection. The instruments are Physics Achievement Test (PAT) (r = 0.70), Locus of Control Scale (LOCS) (0.86) and Study Habit Questionnaire (SHQ) (0.89). Two (2) research questions were answered, using inferential statistics of t-test, and multiple regression analysis. Findings of the study showed that there is a relationship between locus of control and Academic Achievement [r=0.216, n=750,p= <0.01]. It was found that Locus of Control, Study Habits and Gender predicted students’ academic achievement of Students, with R=0.203, which is equivalent to 20.3%. This however indicates a poor level of prediction. R2 = 0.041, which is equivalent to 4.1%, indicating a very poor level of shared variance between the dependent variable and the independent variables. The study recommends the adoption of the instructional methods that will enhance students’ locus of control and the promotion of good study habits among senior secondary school physics students. Governments, education administrators, and school authorities should consider the joint interactive influence of locus of control, study habits and gender when designing programs for physics.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".