Data Mining Approach to Detect Student's Exams Performance Factors.
Hassan, H., Khafaga, M., Thabet, M. (2023). Data Mining Approach to Detect Student's Exams Performance Factors.. EKB Journal Management System, 1(2), 21-31. doi: 10.21608/ifjsis.2023.201596.1002
Hazem M. Hassan; Mohamed Khafaga; Mostafa Thabet. "Data Mining Approach to Detect Student's Exams Performance Factors.". EKB Journal Management System, 1, 2, 2023, 21-31. doi: 10.21608/ifjsis.2023.201596.1002
Hassan, H., Khafaga, M., Thabet, M. (2023). 'Data Mining Approach to Detect Student's Exams Performance Factors.', EKB Journal Management System, 1(2), pp. 21-31. doi: 10.21608/ifjsis.2023.201596.1002
Hassan, H., Khafaga, M., Thabet, M. Data Mining Approach to Detect Student's Exams Performance Factors.. EKB Journal Management System, 2023; 1(2): 21-31. doi: 10.21608/ifjsis.2023.201596.1002

Data Mining Approach to Detect Student's Exams Performance Factors.

Labyrinth: Fayoum Journal of Science and Interdisciplinary Studies
Volume 1, Issue 2, October 2023, Page 21-31  XML PDF (1.1 MB)
Document Type: Original full papers (regular papers)
DOI: 10.21608/ifjsis.2023.201596.1002
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Authors
Hazem M. Hassan email 1; Mohamed Khafagaorcid 2; Mostafa Thabet3
1Instructor
2Computer Science Department, Faculty of Computers and Information, Fayoum university, Egypt, Fayoum
3Information system Department, Faculty of Computers and Information, Fayoum university, Egypt, Fayoum
Abstract
The valuable procedures and evaluation couldn't reveal the valuable information concealed within the student’s feedback on their achievements. Also, the rapid proliferation of academic failure has become the systemic challenge of the modern educational system. Therefore, identifying the variables that enhance student achievement and fulfilment was given top priority. Consequently, statistical analysis and data mining techniques were widely applied in a variety of disciplines, including education. Gender, father's occupation, student location, and school attendance may all have a role in this study's findings. This research set out to look into how these factors affected student performance. One hundred and ninety-nine Fayoum high school students were randomly selected for this descriptive correlational study. The information was gleaned via student surveys and the participants' own self-reported demographics. The information was gleaned via student surveys and the participants' own self-reported demographics. Descriptive statistics were calculated using mean and standard deviation; inferential statistics, such as Pearson correlation and linear regression analysis, were computed using SPSS v26. The outcomes indicated a statistically significant correlation (p 0.05) between a student's father's occupation and where he lived with the student's academic performance. A substantial (p 0.05) relationship was found between parent employment and student location, as well as academic performance. According to the results, there was a significant correlation between students' success and the occupation and location of their fathers.
Keywords
Students performance; Statistics; Standard deviation; Simple linear regression; Factors
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