• Aparna Baiju
• Athira Babu M
• Bincy Baby
• Sisira P Sasi
• Neha Beegam P E

Predicting academic performance is an important task for students in university, college, and school, etc. Class quizzes, assignments, lab examinations, midterm, and final exams are all aspects that influence a student's academic achievement. The student's academic performance should be communicated to the class teacher ahead of time to reduce dropout rates and improve performance. Educators face a variety of obstacles, including classifying students and predicting their exam success. Various traditional data mining methods such as decision trees and association rules were used to perform classification. Via learning action, it is important to examine and comprehend the progression and advances in the standard of online education.

Educational Data mining, Conventional neural network, recurrent neural network, Dropout, Peer learning, Prediction modeling,

"SURVEY BASED ON STUDENTS PERFORMANCE PREDICTION USING VARIOUS ONLINE TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.81-86, June-2021, Available :http://www.jetir.org/papers/JETIRET06016.pdf

"SURVEY BASED ON STUDENTS PERFORMANCE PREDICTION USING VARIOUS ONLINE TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. pp81-86, June-2021, Available at : http://www.jetir.org/papers/JETIRET06016.pdf