Effectiveness of station-rotation and flipped-blended learning strategies in improving study habits and academic performance of secondary school biology students in Osun State, Nigeria
Bibliographic record
Abstract
The study investigated the effectiveness of Station-rotation and Flipped-blended learning in improving study habits and Academic achievement of students in Osun State Secondary School. It adopted quasi experimental pre-test, post-test control group design. The population for the study comprised all Biology students in senior Secondary Schools in Osun State. The sample consisted of 115 senior secondary school Biology students randomly selected from three secondary schools in their intact classes. Each intact class was randomly assigned to an experimental or control group. The instrument for the study comprised the Biology Achievement Test (BAT) and Study Habit Inventory (SHI). The result showed that students taught using the station-rotation blended learning strategy performed better than those taught using the flipped blended learning strategy. The result also showed that the study habits of students taught using station-rotation strategy were better enhanced than those taught using the flipped blended learning strategy. The study recommended the use of a more novel strategy like the station-rotation blended learning strategy in delivering Biology contents in secondary schools.
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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) | 0.001 | 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".