Artificial Intelligence (AI) Enabled Intelligent Quality Management System (IQMS) For Personalized Learning Path
- Resource Type
- Authors
- Srinivasan Mangadu; K.A. Mohamed Junaid; M. Somasundaram
- Source
- Procedia Computer Science. 172:438-442
- Subject
- Computer science
business.industry
020206 networking & telecommunications
02 engineering and technology
Personalized learning
Quality management system
Engineering education
Institution (computer science)
ComputingMilieux_COMPUTERSANDEDUCATION
0202 electrical engineering, electronic engineering, information engineering
General Earth and Planetary Sciences
020201 artificial intelligence & image processing
Artificial intelligence
business
General Environmental Science
PATH (variable)
- Language
- ISSN
- 1877-0509
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.