Impact of Audio-Visual Aids on Senior High School Students’ Achievement in Physics
Bibliographic record
Abstract
This study was aimed at finding out the impact audio-visual-aided instruction on students’ achievement in physics at Cape Coast township of Cape Coast Metropolis, Ghana. The study was a non-randomized pre-test/post-test group design. A total of 65 students in Senior High School (SHS) formed the sample for the study. The students were fourth year science students from two purposefully selected co-educational SHS. The two selected schools were randomly designated experimental and control groups respectively. A validated physics achievement test instrument of a reliability coefficient of 0.76 was administered. Analysis of Covariance (ANCOVA) and t-test statistics were used to test the two hypotheses formulated to guide the study at a significance level 0.05. The results showed that SHS students taught with audio-visual aided instruction performed better than those taught with traditional method. The mean achievement scores of both male and female students improved significantly by the use of the audio-visual aided instruction. It was therefore recommended that SHS physics teachers should explore the use of audio-visual-aided instruction to teach the subject, 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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".