Predictive Model to Analyze Student Performance in Kenya Using Data Mining

Authors

  • Terrence Njiru Kananda, Dr Henry Mwangi, Dr Michael W. Kimwele

Keywords:

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Abstract

The primary objective is to leverage educational data mining to enhance the effectiveness of academic programs and policies. This paper also discusses the challenges of data collection and model interpretation, and offers recommendations for policy-makers, school administrators,and educators in Kenya. A detailed analysis of different attributes, their correlation with academic outcomes, and the role of socio-economic status is also covered in this comprehensive study.

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References

• Han, J., Kamber, M., & Pei, J. (2011). Data Mining: Concepts and Techniques. Elsevier.

• Romero, C., & Ventura, S. (2010). Educational data mining: A review of the state of the art. IEEE Transactions

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Published

2025-06-11

How to Cite

Terrence Njiru Kananda, Dr Henry Mwangi, Dr Michael W. Kimwele. (2025). Predictive Model to Analyze Student Performance in Kenya Using Data Mining. Pegem Journal of Education and Instruction, 15(4), 875–880. Retrieved from https://pegegog.net/index.php/pegegog/article/view/4118

Issue

Vol. 15 No. 4 (2025): EARLY VIEW

Section

Article

License

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