Comparative Effects of Multisensory and Metacognitive Instructional Approaches on English Vocabulary Achievement of Underachieving Nigerian Secondary School Students
Bibliographic record
Abstract
The purpose of this study was to find out the relative effects of three instructional Approaches i.e. Multisensory, Metacognitive, and a combination of Multisensory and Metacognitive Instructional Approaches on the Vocabulary achievement of underachieving Secondary School Students. The study adopted the quasi-experimental design in which a pre-test, post-test, non - randomized, non-equivalent control group design was employed. One hundred and twenty [120 students-60 males and 60 females] were selected from four secondary schools within the Ilorin metropolis through stratified random sampling technique. The four schools were categorized into three experimental groups and one control group according to the design of the study. The instructional programmes for the teachers and the achievement test for the students were prepared by the researcher from the students’ English text books according to the curriculum specifications and the past questions from the JSS NECO past questions .Six major hypotheses were generated for the study. All of them were based on the general effects of the three instructional approaches on the underachieving students’ vocabulary achievement. The results were analyzed using Analysis of Covariance [ANCOVA]. The Duncan Multiple Range Test was used to confirm which pairs of the variables were significantly different. The results revealed that there was a significant difference in the overall achievement of the students taught using the three approaches. In other words, each of the experimental group performed significantly better than the control group. However, the findings indicated that the Multisensory Instructional Approach [MSIA] was the most potent of the three modes. It was recommended that English Language teachers should consider the interest of the underachievers by employing the Multisensory approach to teach them.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".