Seybold Report ISSN: 1533-9211
Rajiv Singhai1, Dr. Nishith Dubey2
Vol 18, No 6 ( 2023 ) | Licensing: CC 4.0 | Pg no: 364-378 | Published on: 30-06-2023
Abstract
The major participants in technical education is engineering courses such as B.Tech. M.Tech. and doctoral programmes. For the monitoring of quality education in engineering colleges, various national and state authorities involved. Recently, the National Board of Accreditation has set standard parameters for the evaluation of outcomes-based education systems. The second parameter has several factors, including the enrolment process, infrastructure of colleges, teaching and learning methods, etc. This paper studies Madhya Pradesh state-level engineering colleges education quality and placement record satisfaction. Madhya Pradesh is the 6th largest state in India population-wise, and it is the core of central India. For the survey of respondents, we selected major cities of Madhya Pradesh, such as Bhopal, Indore, and Jabalpur. The total number of participants (respondents) is 150 students on different levels. For empirical analysis of data, machine learning algorithms such as support vector machines, KNNs, and decision trees are employed. The analysis of results suggests that in Madhya Pradesh, the quality of technical education is alarming.
Keywords:
Technical Education, Engineering colleges, AICTE, Machine Learning