Smart Contracts Student Services for Automating and Streamlining Using Block Chain

The focus of the current paper is on examining the innovative applicability of smart contracts for revolutionizing the services of students within the education sector. Specifically, smart contracts are a solution to the many problems faced by the academic institution; it is possible to automate most of the processes, including registration, grade distribution, student advising, and tracking of graduation requirements. In this paper, we use the Recurrent neural Network (RNN) and Collaborative filtering to analyze the efficiency of smart contract using block chain. The advantages, limitations, and further ramifications of smart contracts' application in these spheres are discussed through a systematic analysis of the existing literature. Based on case evidence and the current research, it offers a glimpse of the best practices, technological factors, and potential advancement in the use of smart contracts for student services.

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Publication Details

Published
2024-11-13
DOI
https://doi.org/10.1109/ictacs62700.2024.10840761
Citations
2
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
1.06
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article

Smart Contracts Student Services for Automating and Streamlining Using Block Chain

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2 citations
FinTech, Crowdfunding, Digital Finance
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article

Smart Contracts Student Services for Automating and Streamlining Using Block Chain

Gajendra Babu, Rajneesh Kler, Tanveer Baig z, Umme Sania, Thaseen Sultana, Naina Chaudhary
article en
2 citations

Abstract

The focus of the current paper is on examining the innovative applicability of smart contracts for revolutionizing the services of students within the education sector. Specifically, smart contracts are a solution to the many problems faced by the academic institution; it is possible to automate most of the processes, including registration, grade distribution, student advising, and tracking of graduation requirements. In this paper, we use the Recurrent neural Network (RNN) and Collaborative filtering to analyze the efficiency of smart contract using block chain. The advantages, limitations, and further ramifications of smart contracts' application in these spheres are discussed through a systematic analysis of the existing literature. Based on case evidence and the current research, it offers a glimpse of the best practices, technological factors, and potential advancement in the use of smart contracts for student services.

Jizzakh State Pedagogical University (UZ)
Openalex Percentile: Top 15%
FinTech, Crowdfunding, Digital Finance
1.06
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