Design of an AI-Based Student Performance Prediction System in Senior Secondary Schools in Ungogo LGA, Kano State
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
- Reference Style:
- Recommended for :
- NGN 5000
Background of the Study
Predicting student performance has become an essential tool in modern education, enabling educators to identify at-risk students and provide timely interventions. AI-based systems have the potential to analyze vast amounts of data, identify patterns, and predict future academic outcomes (Oluwaseun & Ibrahim, 2024). In Ungogo Local Government Area, Kano State, senior secondary schools face challenges in effectively predicting student performance due to the lack of sophisticated tools that can integrate multiple data points, such as test scores, attendance, and engagement in extracurricular activities. The design of an AI-based student performance prediction system can enhance the decision-making process, providing educators with valuable insights into students' future academic performance and potential needs for intervention.
Statement of the Problem
The traditional methods of predicting student performance in senior secondary schools in Ungogo rely on manual assessments that may not consider all relevant factors. These methods lack the sophistication needed to predict performance with high accuracy, resulting in missed opportunities for timely intervention. This study seeks to design an AI-based system that can integrate multiple variables and provide more accurate predictions of student performance.
Objectives of the Study
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To assess the current methods used for predicting student performance in senior secondary schools in Ungogo.
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To design an AI-based system for predicting student performance using data from various academic and non-academic sources.
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To evaluate the accuracy and effectiveness of the AI-based student performance prediction system.
Research Questions
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What are the current methods used in Ungogo for predicting student performance?
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How can AI be integrated to predict student performance with higher accuracy?
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How effective is the AI-based system in predicting student outcomes compared to traditional methods?
Research Hypotheses
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An AI-based system will provide more accurate predictions of student performance than traditional manual methods.
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There is a significant relationship between student engagement and performance predictions made by the AI-based system.
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The AI-based prediction system will significantly reduce the time needed to identify at-risk students for intervention.
Significance of the Study
The study will contribute to the development of AI-based systems in education, specifically focusing on predicting student performance. It will assist educators in Ungogo to make more informed decisions, improving student outcomes and fostering early interventions for students who may need academic support.
Scope and Limitations of the Study
The study will focus on senior secondary schools in Ungogo Local Government Area, Kano State. It will design and evaluate an AI-based system using relevant academic data. Limitations include access to quality data from the schools and the need for adequate computational resources to implement the AI system.
Definitions of Terms
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AI-Based System: A system that uses artificial intelligence algorithms to analyze data and make predictions or decisions.
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Student Performance Prediction: The process of forecasting a student's future academic outcomes based on historical and current data.
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Intervention: Actions taken to support students who are identified as at risk of underperforming academically.
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