E-ISSN 1658-7073 | ISSN 1658-6638
 

Original Research 


Predicting Academic Performance of Students from Formative Assessment Methods using Machine Learning Algorithms

Jayadev Gyani.

Abstract
Predicting academic performance of students is always an interesting area of research for academicians. Different inputs were considered to predict the academic performance of students in several research publications. If predictions are made too early accuracy of results will be affected as the performance of the students depend upon several factors during the semester the student is studying. We are postponing the predictions until the middle of the semester to have better monitoring and control of the students for the final grades. We use key formative assessment methods to predict the performance of the students at the end of the semester. We used popular machine learning classification methods Nave Bayes, Random Forest and Support Vector Machine (SVM) to predict the end of the semester performance.

Key words: Grade Prediction, Machine Learning, Nave Bayes, Random Forest, Support Vector Machine


 
ARTICLE TOOLS
Abstract
PDF Fulltext
How to cite this articleHow to cite this article
Citation Tools
Related Records
 Articles by Jayadev Gyani
on Google
on Google Scholar


How to Cite this Article
Pubmed Style

Jayadev Gyani. Predicting Academic Performance of Students from Formative Assessment Methods using Machine Learning Algorithms. JEAS. 2021; 8(2): 54-60. doi:10.5455/jeas.2021110106


Web Style

Jayadev Gyani. Predicting Academic Performance of Students from Formative Assessment Methods using Machine Learning Algorithms. http://jecasmu.org/?mno=135242 [Access: December 31, 2021]. doi:10.5455/jeas.2021110106


AMA (American Medical Association) Style

Jayadev Gyani. Predicting Academic Performance of Students from Formative Assessment Methods using Machine Learning Algorithms. JEAS. 2021; 8(2): 54-60. doi:10.5455/jeas.2021110106



Vancouver/ICMJE Style

Jayadev Gyani. Predicting Academic Performance of Students from Formative Assessment Methods using Machine Learning Algorithms. JEAS. (2021), [cited December 31, 2021]; 8(2): 54-60. doi:10.5455/jeas.2021110106



Harvard Style

Jayadev Gyani (2021) Predicting Academic Performance of Students from Formative Assessment Methods using Machine Learning Algorithms. JEAS, 8 (2), 54-60. doi:10.5455/jeas.2021110106



Turabian Style

Jayadev Gyani. 2021. Predicting Academic Performance of Students from Formative Assessment Methods using Machine Learning Algorithms. Journal of Engineering and Applied Sciences, 8 (2), 54-60. doi:10.5455/jeas.2021110106



Chicago Style

Jayadev Gyani. "Predicting Academic Performance of Students from Formative Assessment Methods using Machine Learning Algorithms." Journal of Engineering and Applied Sciences 8 (2021), 54-60. doi:10.5455/jeas.2021110106



MLA (The Modern Language Association) Style

Jayadev Gyani. "Predicting Academic Performance of Students from Formative Assessment Methods using Machine Learning Algorithms." Journal of Engineering and Applied Sciences 8.2 (2021), 54-60. Print. doi:10.5455/jeas.2021110106



APA (American Psychological Association) Style

Jayadev Gyani (2021) Predicting Academic Performance of Students from Formative Assessment Methods using Machine Learning Algorithms. Journal of Engineering and Applied Sciences, 8 (2), 54-60. doi:10.5455/jeas.2021110106