Functional Language: A Panacea for Effective Implementation of the Primary School Social Studies Curriculum
Bibliographic record
Abstract
This paper focuses on what constitutes functional language of instruction with a view to determining the extent at which it influences effective teaching delivery by Social Studies teacher and the attainment of Social Studies curriculum objectives. Two hypotheses were formulated based on research questions on significant relationship between and among identified variables viz- a-viz teachers knowledge of core- concepts, academic qualification, students’ academic performance, attainment of curriculum objectives and the functional language. The study employed quasi- experimental design, 20 Social Studies teachers and 200 students were selected from Junior Secondary Schools in Ojo Local Government area of Lagos state. Close- ended questionnaire constructed for teachers contains 20 statement items on a 4 – point likert rating scale and validated with a reliability co- efficient of 0.58. Achievement test was also constructed for the students and data was analysed using F - Test and pearson product moment correlation (PPMC). The finding reveals that: teachers’ knowledge of core- concepts and academic qualifications has nothing to do with the use of functional language and vice- versa. The implication of this was deeply discussed. It was therefore recommended that, to attain Social Studies curriculum objectives, there is the need by the teachers to have knowledge of liberal arts, language education and the acquisition of appropriate diction, which implies the use of functional language; and there is a symbolic relationship between students’ academic performance and the use of functional language in the teaching and learning of Social Studies.
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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 | 0.009 | 0.014 |
| 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 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".