A Conceptual Model for Diploma Verification in Education: Leveraging NFTs and Dynamic Smart Contracts

In the modern era of digital education, ensuring the authenticity and security of academic credentials is crucial for maintaining trust and efficiency. Blockchain technology, with its secure, transparent, and immutable nature, offers promising solutions, but static smart contracts have limitations in dynamic environments. This paper proposes a novel approach utilizing dynamic smart contracts and non-fungible tokens (NFTs) to revolutionize diploma verification systems. Dynamic smart contracts provide the flexibility needed to adapt to changing educational policies and requirements without redeploying the entire contract, while NFTs ensure each diploma is uniquely identifiable and tamper-proof. Our proposed system leverages smart contract interaction to automate and streamline the complex processes between educational institutions, students, and employers. Empirical assessments demonstrate significant improvements in processing speed and accuracy, confirming the practical benefits of this approach. This study provides new insights into how blockchain technology can be effectively applied in the education sector to enhance the integrity and reliability of academic credentials. By focusing on a conceptual model and demonstrating its potential through testing and evaluation, this research lays the groundwork for future implementations that could significantly outperform traditional methods in terms of efficiency, security, and adaptability.

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Publication Details

Published
2024-09-05
DOI
https://doi.org/10.1109/icitri62858.2024.10699024
Citations
2
Primary Topic
Private Equity and Venture Capital
Type
article
Field-Weighted Citation Impact
1.89
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article

A Conceptual Model for Diploma Verification in Education: Leveraging NFTs and Dynamic Smart Contracts

Esron Rikardo Nainggolan, Irwansyah Saputra, Cahyani Budihartanti, Siti Nurlela et al.
2 citations
Private Equity and Venture Capital
1.89
article

A Conceptual Model for Diploma Verification in Education: Leveraging NFTs and Dynamic Smart Contracts

Esron Rikardo Nainggolan, Irwansyah Saputra, Cahyani Budihartanti, Siti Nurlela, Indrajani Sutedja, Mochamad Wahyudi, Siti Masturoh, Andi Saryoko, Sumanto Sumanto
article en
2 citations

Abstract

In the modern era of digital education, ensuring the authenticity and security of academic credentials is crucial for maintaining trust and efficiency. Blockchain technology, with its secure, transparent, and immutable nature, offers promising solutions, but static smart contracts have limitations in dynamic environments. This paper proposes a novel approach utilizing dynamic smart contracts and non-fungible tokens (NFTs) to revolutionize diploma verification systems. Dynamic smart contracts provide the flexibility needed to adapt to changing educational policies and requirements without redeploying the entire contract, while NFTs ensure each diploma is uniquely identifiable and tamper-proof. Our proposed system leverages smart contract interaction to automate and streamline the complex processes between educational institutions, students, and employers. Empirical assessments demonstrate significant improvements in processing speed and accuracy, confirming the practical benefits of this approach. This study provides new insights into how blockchain technology can be effectively applied in the education sector to enhance the integrity and reliability of academic credentials. By focusing on a conceptual model and demonstrating its potential through testing and evaluation, this research lays the groundwork for future implementations that could significantly outperform traditional methods in terms of efficiency, security, and adaptability.

Binus University (ID), Universitas Katolik Widya Mandira (ID)
Openalex Percentile: Top 12%
Private Equity and Venture Capital
1.89
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A Conceptual Model for Diploma Verification in Education: Leveraging NFTs and Dynamic Smart Contracts — Esron Rikardo Nainggolan, Irwansyah Saputra, et al. · (2024) | TGRS Research Map | TGRS