Prashant Ranjan1, Abhishek Raj1, Prachi Kumari1, Akriti Kumari1 and Amar Nath Singh2*
1Department of MCA, Amity University, Jharkhand, India
22Department of Computer Science and Engineering, Amity University, Jharkhand, India
*Corresponding Author: Amar Nath Singh, Department of Computer Science and Engineering, Amity University, Jharkhand, India.
Received: March 11, 2020; Published: April 27, 2020
AI is the most robust and advance field of study which is used to generate the most recent application which will provide a better interface for human being. With respect to the application of Amazon Echo, we have developed an E-Learner model in our previous work and try to find the optimal result for emotion factor. But as we also know that the emotion is a variable factor which always get change due to because of environment and human feeling, so the chances that we can get a good data set for human emotion factor is bit difficult. Hence, in this aspect, we have taken a reference of good and efficient person for creating the dataset. In this paper we are going to utilize the result set of our previous work to develop the feedback system for out continuous improvement of system. Feedback system is another important aspect for any application using which we can came to know about the our development and we need to upgrade the system to meet the gap. Here in this work we have taken the data value of our previous work and provide the betterment of our application.
Keywords: Human Emotion; Emotion Intelligence; AI; Machine Learning, Recognition
Citation: Amar Nath Singh., et al. “Development of E-Learning Feedback Model by Analyzing the Emotion Intelligence Learner Model Output Using the Artificial Intelligence”.Acta Scientific Computer Sciences 2.5 (2020): 10-13.
Copyright: © 2020 Amar Nath Singh., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.