The use of data science to improve mathematic performance in rural schools in the North west province
Domaine:
educationType de record:
paper
Créateur:
Khu
Éditeur:
IieMwa
Éditeur:
DMP
Hôte:
In the North West Province of South Africa, rural schools face numerous challenges in providing quality mathematics education, leading to persistently low levels of mathematical performance among students. This study explores the potential of data science methodologies to address these challenges and improve mathematical performance in rural schools. The research adopts quantitative analysis of student performance data with qualitative insights from educators and stakeholders. Quantitative data will be collected from rural schools in the North West Province, encompassing student mathematics scores, attendance records, demographic information, and other relevant variables. Data science techniques, including predictive modeling, machine learning algorithms, and statistical analysis, will be employed to identify patterns, trends, and predictive factors associated with mathematical performance.
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