Predicting Students Academic Performance Through Supervised Machine Learning

By themelower On Jul 12, 2025

The Predicting Students Performance Using Machine Learning Algorithms There are many supervised and unsupervised types of machine learning approaches that are used to extract hidden information and relationship between data, which. The study uses advanced machine learning algorithms to predict student performance, enhancing accuracy and enabling early intervention. it also allows for personalized interventions based on individual needs, optimizing resource allocation.

Pdf Prediction Of University Level Academic Performance Through This paper introduces a ml model that classify and predict student academic success by utilizing supervised ml algorithms like random forest, support vector machines, gradient boosting, decision tree, logistic regression, regression, extreme gradient boosting (xgboost), and deep learning. Several well known classification algorithms are applied in this domain but this paper proposed a student performance prediction model based on supervised learning decision tree. This paper introduces students' academic performance prediction model that uses supervised type of machine learning algorithms like support vector machine and logistic regression. To provide insight on how several motivation dimensions (intrinsic, extrinsic, autonomy, relatedness, competence, and self esteem) predict learning performance and study strategy, we created and applied five supervised machine learning (ml) models.

Pdf Analyzing And Predicting Students Performance By Means Of This paper introduces students' academic performance prediction model that uses supervised type of machine learning algorithms like support vector machine and logistic regression. To provide insight on how several motivation dimensions (intrinsic, extrinsic, autonomy, relatedness, competence, and self esteem) predict learning performance and study strategy, we created and applied five supervised machine learning (ml) models. In this paper we use ml algorithms in order to predict the performance of students, taking into account both past semester grades and socioeconomic factors. By using ml algorithms, institutions can forecast student outcomes based on past academic records, demographic information, socio economic status, and behavioral indicators. this research paper presents a student performance prediction system built on supervised learning models. The research work presented a naïve bayes classification and support vector machine (svm) algorithm to predict postgraduate students’ academic performance using demographic factors and first semester examination scores. In this study, we investigate the effectiveness of active learning algorithms to predict students’ performance (pass or fail) in a distance learning undergraduate course module in the hou.

Comparison Of Predicting Students Performance Using Machine Learning In this paper we use ml algorithms in order to predict the performance of students, taking into account both past semester grades and socioeconomic factors. By using ml algorithms, institutions can forecast student outcomes based on past academic records, demographic information, socio economic status, and behavioral indicators. this research paper presents a student performance prediction system built on supervised learning models. The research work presented a naïve bayes classification and support vector machine (svm) algorithm to predict postgraduate students’ academic performance using demographic factors and first semester examination scores. In this study, we investigate the effectiveness of active learning algorithms to predict students’ performance (pass or fail) in a distance learning undergraduate course module in the hou.

Pdf Students Academic Performance Prediction Model Using Machine The research work presented a naïve bayes classification and support vector machine (svm) algorithm to predict postgraduate students’ academic performance using demographic factors and first semester examination scores. In this study, we investigate the effectiveness of active learning algorithms to predict students’ performance (pass or fail) in a distance learning undergraduate course module in the hou.

Pdf Prediction Of Academic Performance Of Students Using Machine Learning

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Predicting Students academic performance through supervised machine learning

Predicting Students academic performance through supervised machine learning

Predicting Students academic performance through supervised machine learning Predicting student marks using Supervised Machine Learning PREDICTING STUDENTS’ ACADEMIC PERFORMANCE Student performance prediction using supervised learning algorithm A students academic performances prediction system predicting students academic performance research paper Student Academic Performance Prediction - Research Method Presentation Data Mining in Predicting Students Performance Student Academic Performance Prediction System (SAPPS) Machine Learning Explained in 100 Seconds Machine learning algorithms as tools for student success prediction| Dijana Oreski| DSC Europe 2022 Student Performance Prediction Project How to predict the academic performance of a student Students Performance Prediction in Online Courses Using Machine Learning Algorithms ML project - Predicting student test scores Predicting secondary school students performance with supervised learning A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs Student Teacher Performance Prediction using Machine Learning | AI Projects 2023 2024 Predicting Student Performance Using Machine Learning

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