International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 07 | July 2024
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p-ISSN: 2395-0072
Artificial Intelligence and Machine Learning in Education Supply Chain Management – Predicting the Needs of a Government School to Direct Funds and Resources Abhinav Palanivel Student, IB DP Canadian Internation School, Bangalore, Dr. Nandini N. Associate Professor, Department of Computer Science and Engineering, Dr. Ambedkar Institute of Technology, Bengaluru, India. ----------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The management of the supply chain can
greatly affect the quality of education that is provided especially in government schools which are known to operate under great restrictions. Considering the current and future status of the Indian education system, AI and ML hold the potential to develop solutions that might transform the supply chain of government schools. Less overstocking was achieved through cutting down by 30% on the quantities of textbooks and other learning materials bringing about the increased availability of space for different use and a cut down on material deterioration. In this respect, the potential for creating a more efficient, responsive, and student-oriented educational environment across the country is embodied in the continuous development and adaptation of the developed system. In order to keep the models effective for the Indian context, it is expected that audits and feedback systems are set up and constant to improve the existing models. This ongoing assessment assists in redressing geographical inequalities and adapting to new educational policies and needs across the nation.
Fig -1: Supply Chain and its Impact on Educational Facilities The management of the supply chain in the education sector is an important but overlooked aspect in the delivery of quality learning. The current education system in India serves 26.44 crore students across 1.5 million schools, supply chain is a very critical factor [2]. It involves the acquisition, storage, and disbursement of a range of products such as books, learning materials, technological tools, and people.
Key Words: Artificial Intelligence, Machine Learning, Education Supply Chain, Resource Allocation, Government Schools, Predictive Analytics
The issues of resource allocation are critical in Indian government schools, which educate nearly 65% of students in this country.
1. INTRODUCTION
These include:
With the increasing evolution of Artificial Intelligence (AI) and Machine Learning (ML), many sectors in India, including Education are being impacted. It is found in used to strengthen teaching approaches, tailor learning delivery, and optimize management strategies. Currently, the market of ed-tech in India is a fast-growing one and AI solutions have a great impact in this segment. As per a report by RBSA Advisors, the ed-tech market in India is expected to grow to $30 billion by 2032, up from $700$800 million in 2021, pointing towards the potential of enhanced industry-specific spending buoyed by AI and ML ventures in the education market [1].
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Impact Factor value: 8.226
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Inadequate Infrastructure: According to the UDISE+ 2019-20, only 12% of government schools have an internet facility, while 38% have non-functional computers.
Textbook Shortages: Unfortunately, the problem of delayed delivery of textbooks persists in many schools, and some USA states still report that textbooks are missing for 30% of students at the start of academic years.
Teacher Shortages: The country is short of teachers by almost one million, and these scarcities are most predominant, especially in rural and remote areas [3].
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