Systematic Review on Real-Time Students Behavior Monitoring using Machine Learning

Author:

S Akash1,V Dinesh1,S Muthamil Selvan1,Srikanth R1

Affiliation:

1. Karpagam Academy of Higher Education,Faculty of Engineering,Department of Computer Science and Engineering,Coimbatore,Tamil Nadu,India

Publisher

IEEE

Reference16 articles.

1. Mining Smart Learning Analytics Data Using Ensemble Classifiers

2. A two-phase machine learning approach for predicting student outcomes;iatrellis;Education and Information Technologies,2020

3. EEG-Based Driver Drowsiness Estimation Using an Online Multi-View and Transfer TSK Fuzzy System

4. Embedding naïve Bayes algorithm data model in predicting student graduation;lagman,2019

5. A machine learning approximation of the 2015 Portuguese high school student grades: A hybrid approach;costa-mendes;Education and Information Technologies,2020

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