AI For Bridging Socio-Economic Inequities in Indian Education Space

Arijit Goswami and Akshay Sharma
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Arijit Goswami: Financial Services, Capgemini India
Akshay Sharma: Product Management, Brane Enterprises

International Journal of Research and Scientific Innovation, 2024, vol. 11, issue 4, 890-935

Abstract: Over the past few years, Artificial Intelligence (AI), data analytics over edge and computer vision have ushered in a plethora of use cases that promise to transform the education landscape, particularly in the developing economies. The significant headways that AI has made in improving the quality of educational pedagogies and in enhancing the accessibility and inclusivity of the education models are now compelling the multiple stakeholders in the education space to reimagine the way learning is done and facilitated. Vast socio-economic inequities exist in the Indian education landscape, with poor infrastructural facilities, disparities in the technological competence of teachers and the gender & caste related divides plaguing the education space since decades. With a one-size-fits-all approach implemented for learning across the nation and with superficial insights into individual student’s cognitive capabilities, the education methodology in India faces serious limitations as students don’t receive personalized attention which leads to many students staying bereft of the value of education programs in the country. Artificial Intelligence enabled solutions can help identify the key areas of improvements in the education space, while analyzing the needs of each student in a personalized manner, to help every student derive the benefits of education, which can help bridge the socioeconomic inequities in the country.

Date: 2024
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