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Large-scale Education System Design via Peer-grading

Implementing Organization

Indian Institute Of Technology (IIT) Bombay, Maharashtra
Principal Investigator
Prof. Swaprava Nath
Indian Institute Of Technology (IIT) Bombay, Maharashtra

Project Overview

India faces a significant challenge in providing quality education to rural and semi-urban areas, with a low retention rate of 70.7% at the elementary level and 57.4% at the secondary level. This is largely due to the lack of qualified teachers in primary and secondary schools. However, India also houses globally acclaimed higher educational institutions like IITs, IISc, IISER, and TIFR, which could bridge this gap through online courses. The challenge of implementing large-scale online courses is maintaining the quality of evaluation and feedback. This proposal aims to design and implement a unique online peer-grading system that employs an innovative approach to provide quality evaluation and feedback mechanisms for online courses. The model can be scaled up nationally to address the challenge of inclusive and quality education platforms for the larger population with limited access to quality education. Peer-grading is a method where students grade each other in exams, but current methods rely on the altruism of the graders. This interdisciplinary approach involving artificial intelligence and economics aims to solve the strategic peer grading problem and design a mechanism that significantly improves the performance of evaluation at a large scale. The proposed online platform of peer-grading could reach every corner of India and similar developing nations.

Source

Source
Anusandhan National Research Foundation/Science and Engineering Research Board (SERB), DST 2023-24
Funding Organization
Quick Information
Area of Research
Engineering Sciences
Start Date
2024
End Date
2027
Status
ongoing
Contact
swaprava@gmail.com
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
00
Publications
00
No. of Patents
Filed : 00
Grant : 00
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