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kinematician30/IM_DAFest

Domain:

education

Record type:

project
Creator:
kin
Host:
Building a solution for enhancing Secondary School Student Performances in Africa. # DataFest Africa 2024 DataThon # Improving Academic Outcomes in Africa: Leveraging Data Analytics The sub-par quality of secondary education in **Africa**, as evidenced by the low scores in recent **JAMB** exams, poses a significant challenge to student success. The project aims to address this issue by leveraging data analytics, machine learning and data engineering to identify underlying problems and develop targeted solutions to improve student performance. ## Project Goals * Identify key factors hindering student performance in exams like JAMB and WASSCE. * Develop a data-driven solution to proactively improve student outcomes. * Create a predictive model to forecast student success or failure. * Provide actionable recommendations to stakeholders for enhancing student performance. ## Methodology ### Data Collection * Survey Administration: Conducted survey with students who participated in the 2024 JAMB, WASSCE, and NECO exams to gather comprehensive data on their academic history, demographics, learning styles, and other relevant factors. * Data Ingestion: The collected survey data was ingested into a data warehouse for subsequent analysis and modeling. ### Data Analysis * Exploratory Data Analysis (EDA): Employed EDA techniques to identify patterns, trends, and correlations within the data. * Factor Analysis: Analyzed factors such as teacher support, learning style, extracurricular activities, study duration, numeracy and reading skills, and parental involvement to understand their impact on student performance. See the whole analysis here ### Model Development * Machine Learning Algorithms: Utilized machine learning algorithms, such as regression, decision trees, or random forests, to create a predictive model capable of accurately forecasting student performance based on various factors. * Model Optimization: Fine-tuned the model through hyperparameter tuning and cross-validation to enhance its predictive accuracy. ### Solution Design * Data-Dri …