Effects of Developed Electronic Instructional Medium on Students’ Achievement in Biology
Bibliographic record
Abstract
The study investigated the effects of developed electronic instructional medium (video DVD instructional package) on students’ achievement in Biology. It was guided by two research questions and two hypotheses, using a quasi-experimental, pretest-postest control group design. The sample comprised of 180 senior secondary, year two students from six schools located in the three education zones of Niger State. The subjects were divided into an experimental group (electronic medium instruction) and a control group (traditional lecture instruction). Structured Biology Achievement Test (SBAT) with internal consistency reliability co-efficient of 0.83 was used to measure the student’s achievement before and after the treatment. The data obtained from the study were analyzed using Analysis of Covariance (ANCOVA). Results from Means, Analysis of Covariance (ANCOVA) and Scheffe test indicated that the achievement of students in biology greatly improved with the use of electronic instructional medium. Students’ gender had no significant effect on their achievement in biology when electronic medium was used. These results have implications for innovative use of instructional media and creating sound strategies for disseminating science in the classroom.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".