May 25, 2021 · In this paper, we have analyzed the academic results and behavior of some engineering students. For this study, we collect data from 80 students from the CSE ...
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What is data mining for student performance prediction in education?
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Mar 3, 2022 · This study proposes a new model based on machine learning algorithms to predict the final exam grades of undergraduate students.
Data Mining can be used in educational field to enhance our understanding of learning process to focus on identifying, extracting and evaluating variables ...
By testing the model using newcomer students, the achieved accuracy is more than 80%. This result proves the reliability of the proposed model. Keywords: ...
In this study we develop a classification model to predict student performance using Deep Learning which automatically learns multiple levels of representation.
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Oct 22, 2024 · Educational Data Mining (EDM) is a promising field, where data mining is widely used for predicting students performance. One of the most ...
Jul 9, 2022 · Students' performance predictions can be conducted by using supervised data mining techniques. In supervised data mining, a mathematical model ...
We gather data from mark sheets and other relevant factors that accelerate the results, collected through a survey. Our main goal is to predict the students' ...
Dec 20, 2019 · In conclusion, PPP could successfully predict students' performance through their procrastination behavior with an accuracy of 96%. In future ...
Data mining can help us identify the reasons behind poor academic performance and can also provide valuable insights into current performance trends and ...
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