Quantitative Analysis and Prediction of Academic Performance of ...
This study developed a quantitative prediction model of academic performance and investigated the performance of various machine learning algorithms and the influencing factors based on the collected educational data.
This study developed a quantitative prediction model of academic perfor-mance and investigated the performance of various machine learning algorithms and the influencing factors based on the ...
Quantitative Analysis and Prediction of Academic Performance of ...
Predicting students' performance has drawn attainable interest in education. However, quantifying students' performance is quite challenging as it depends on several factors. This study focuses on using educational data mining techniques (EDM) to estimate students' final grades based on their social, school-related, and demographic data.
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This study investigates the effectiveness of machine learning and deep learning models for early prediction of student performance in higher education institutions. Using the Open University Learni...
This study benchmarks multiple machine learning models to predict student academic performance . The research analyzes data from students in mathematics and Portuguese language courses, examining the relationship between various factors and academic performance . The benchmark implementation includes data preprocessing, exploratory data analysis , feature engineering, model training, and ...
Predicting student performance
Educational institutions now gather vast amounts of data that can be analyzed to improve students' academic trajectories and overall learning experiences. One promising area of research that utilizes this data is student performance prediction , which seeks to identify patterns and factors influencing academic success.
This study addresses challenges in performance analysis , quality education delivery, and student evaluation through machine learning (ML) models.
Analysis of factors affecting the academic performance of university ...
The results reveal that machine learning is an effective tool for representing nonlinear relationships between academic performance and its determinants, allowing for accurate prediction of ...
Schools and colleges use students' grades as a primary way to evaluate how well their teachers are performing and to assess the overall quality of their student body. Academic and practical performance are two key indicators of a student's success in school. Most research suggests that students share common traits while overlooking their unique characteristics. The main aim of this paper ...
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Need To Know Series about Digital Transformation with George Barlow Part 3 Artificial. This note connects the source idea with the visuals in a simple, reader-friendly way.
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