National assessment data tracks mean competency scores for lower secondary (BEPC) students in Côte d'Ivoire across eight subjects. The Global Partnership for Education compiles results reported by the country's Local Education Group. The dataset contains subject-specific scores for French, Mathematics, Physics, English, SVT, L2, H-G, and ECM.
Use Cases
- Analyze trends in mean Mathematics and Physics scores over time to evaluate STEM education initiatives.
- Compare performance across subjects like French, English, and L2 to assess language education priorities.
- Model the relationship between national mean scores for SVT, H-G, and ECM to identify correlated learning domains.
- Benchmark lower secondary competency levels in Côte d'Ivoire against regional averages using subject-specific time-series data.
Strengths
- Provides subject-level disaggregation across eight core academic disciplines.
- Data is sourced from official national assessments administered by the country's Local Education Group.
Limitations
- The dataset lacks granular student-level or school-level records, offering only national aggregate scores.
- Specific sample sizes, row counts, and temporal coverage are not provided in the metadata.
Provenance
- Source
- Global Partnership for Education, based on reports from Côte d'Ivoire's Local Education Group (LEG).
- Collection Method
- Mean scores calculated from results of the national assessment for the specified education level.
- Time Range
- null
- Freshness
- null
- Geography
- Côte d'Ivoire (Ivory Coast).