New-age Framework for Educational Reforms

Author(s)	MEHTA TWISHA PIYUSH
Country	Singapore
Abstract	This research describes a framework for utilizing machine learning and data visualization with publicly available education data to create educational reforms. This study aims to address the systemic issues hindering equal learning opportunities between developed and developing countries by analyzing key global education indicators. With the help of clustering and predictive analysis, the work reveals significant factors affecting education, including but not limited to the completion rates, tertiary education enrollment, and literacy rates. The framework also leverages social media and machine learning to drive educational reforms and reduce policy implementation lag by informing policymakers.
Keywords	Education, Machine Learning, Educational Reform, Data-Driven Framework, Predictive Analytics, Policy Implementation, Social Media Advocacy, Educational Inequality
Field	Sociology > Data / Information / Statistics
Published In	Volume 6, Issue 5, September-October 2024
Published On	2024-09-24
Cite This	New-age Framework for Educational Reforms - MEHTA TWISHA PIYUSH - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.27841
DOI	https://doi.org/10.36948/ijfmr.2024.v06i05.27841
Short DOI	https://doi.org/g5kntx

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9898-5948-55	editor@ijfmr.com

International Journal For Multidisciplinary Research