Mathematics and Computer Science, Volume 2

10IoT Based Ensemble Predictive Techniques to Determine the Student Observing Analysis through E-Learning

Rufia Thaseen I.¹, S. Shahar Banu^1⋆ and Sudha Rajesh²

¹Department of Computer Applications, B. S. Abdur Rahman Crescent Institute of Science & Technology, Vandalur, Tamil Nādu, India

²Department of Computational Intelligence, SRMIST, Kattankulathur, Tamil Nādu, India

Abstract

The objective was to make a comparative study of the IoT based Ensemble Predictive system with real-life teacher predictions on student observation during E-Learning. Data is collected from 46 faculties for 188 periods through an opinion-based survey using a questionnaire. Similarly, for the 188 periods the data was collected from the created IoT based Ensemble Predictive System. The system is designed in such a way that it uses five variables, namely: Level of Interaction, No. of Questions Raised, No. of Students in the Class, No. of Concepts Taught in a Period, and Responsiveness of the Students to Questions during Class Hours, to perform the student observation analysis. From observation, it is interpreted that there is no major difference in the solution provided by the faculties and output generated by the IoT Ensemble Predictive system. Further, it was found that there is a remarkable relationship between the opinion provided by the faculties and output generated by the IoT Ensemble Predictive system. But for the item (No. of Students in the Class), there is no significant relationship between ...