Scope for Applications Management in India of Soft Computing in effective Classroom | ||
| International Journal of Instructional Technology and Educational Studies | ||
| Article 4, Volume 3, Issue 1, January 2022, Pages 16-23 PDF (940.17 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ihites.2021.102740.1062 | ||
| Authors | ||
| Souren Bhattacharya* 1; Subhasree Pal2; Parimal Sarkar3 | ||
| 1Research Scholar, University of Technology, Jaipur, India. | ||
| 2Research Scholar, Department of Education, NSOU, West Bengal, India | ||
| 3School of Education, NSOU, West Bengal, India. | ||
| Abstract | ||
| The present paper throws light on how different unwanted situations and real-time problems in teaching-learning platforms, in-classroom ambiance, prediction about students’ performance and success, probability of their retention can be addressed effectively and efficiently to create a positive ambiance for teaching as well as learning using soft computing in India. A classroom is a place where the bricks of the future foundation of any child are built. Therefore, a lot of things are closely associated with classroom management. Where the general age-old system fails to diagnose, Soft Computing emerges as the only way to detect, analyze and solve the problem with utmost excellence and adequacy. Soft Computing is a branch of science in which thinking, reasoning, and ratiocination are been considered tools to address the real problems in the real classroom scenario. It is a package where machine learning, genetic algorithms, artificial neural network analysis, fuzzy logic, etc. are used to bring out the utmost learning outcomes in a classroom. The atmosphere in which a student learns, the learning environment where the seed of knowledge is sowed, the teaching and behavior of the teacher which is like nourishing sunshine that helps the process of synthesizing knowledge are the backbones of any learning system. Soft computing has the potential to address the issues. | ||
| Keywords | ||
| Classroom Management; Machine Learning; Artificial Neural Network; Fuzzy Logic; Artificial Intelligence; Genetic Algorithm | ||
|
Statistics Article View: 382 PDF Download: 328 |
||
