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Many Higher Educational Institutes provide a chance to improve students’ performance within a certain period of time after being awarded the degree. There are some other Higher Educational Institutes, those are not provide such opportunities to improve students’ performance. This study has the intention to explore overall, year-wise, and gender-wise comparative indicators to find out outcomes’ effect on students’ performance with respect to their academic credits as well as the impact of their division of degree in post-degree improvement exams. Data were mined in SQL and analyzed using SPSS. The results should be helpful in implementing National Education Policy (2020) in Higher Educational Institutes. In this research, we used data mining techniques with machine learning concepts, statistics, and visualization, to discover and extract knowledge.

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Data Mining and Analysis of Students Academic Credits Progress in Post-degree Improvement Exams—A Case Study of the University of Delhi

  • 会议论文

  • 发表日期：

    2025年

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  • Ramavtar Singh,
  • Tarun Kumar Sharma

摘要

Many Higher Educational Institutes provide a chance to improve students’ performance within a certain period of time after being awarded the degree. There are some other Higher Educational Institutes, those are not provide such opportunities to improve students’ performance. This study has the intention to explore overall, year-wise, and gender-wise comparative indicators to find out outcomes’ effect on students’ performance with respect to their academic credits as well as the impact of their division of degree in post-degree improvement exams. Data were mined in SQL and analyzed using SPSS. The results should be helpful in implementing National Education Policy (2020) in Higher Educational Institutes. In this research, we used data mining techniques with machine learning concepts, statistics, and visualization, to discover and extract knowledge.