Machine Learning & Educational Choice In J&K
Main Article Content
Abstract
This Paper attempts to review 25 studies using Machine learning with Jammu and Kashmir data from India in the educational and training sector. After reviewing these studies Analyses a survey of opinion from over 219 principals of different schools in the state. Though the survey analyses the use of technology in the schools and the impact of enrolment, the focus is on the determinants of the enrollment or schooling choice using machine learning models. Study uses the machine learning model without code using JASP (an opensource software). While the decision tree results were strategic in nature the regression results were more specific for operations of the schools.
Downloads
Download data is not yet available.
Article Details
How to Cite
Jagdeep Singh Arora, & P James Daniel Paul. (2024). Machine Learning & Educational Choice In J&K. Educational Administration: Theory and Practice, 30(1), 1813–1822. https://doi.org/10.53555/kuey.v30i1.6655
Issue
Section
Articles