Artificial Intelligence (AI) Enabled Intelligent Quality Management System (IQMS) For Personalized Learning Path
M. Somasundaram, K. A. Mohamed Junaid, Srinivasan Mangadu
Abstract
The teaching and learning methodology in a typical engineering education system involves a teacher teaching to a group of 30 to 60 students and hence the students have a common learning path. With the advent of technology like Artificial Intelligence/Machine Learning, past historic data in an institution and current data of student profiles and performance can be used to analyse and predict learning gaps and suggest the learning steps a student has to take to improve his/her performance. This will result in each student having a personalized learning path. As many institutions have a well-defined Quality Management System (QMS) in line with the ISO 9001: 2015 standards and past data, they can adopt this new technology and hence achieve disruption in the education system in a phased manner.