Abstract:
The increasing need for secure, transparent, and verifiable academic credentials has highlighted the limitations of conventional digital certificates, which are often static, hard to validate, and prone to fraud. To address this gap, this paper explores blockchain technology and Non-Fungible Tokens (NFTs) as innovative solutions for academic credentialing. Unlike traditional credentials, NFTs are unique, immutable digital assets stored on a blockchain, enabling decentralized verification and secure ownership. This study proposes a blockchain-based platform that enables universities to issue NFT (Non-Fungible Token) tokens to students upon completion of coursework, participation in extracurricular activities, and acquisition of specific skills. These tokens are stored on a decentralized ledger and form a tamper-proof record of student achievements accessible to employers, institutions, and other stakeholders. The paper introduces the "Achievables" business model, which promotes collaboration between universities, students, and employers. A prototype implementation using Ethereum’s ERC-721 standard demonstrates the system’s core features. Challenges such as scalability, legal frameworks, and institutional adoption are also addressed. The findings suggest that blockchain-based academic credentialing can enhance transparency, student motivation, and employability, offering a secure and learner-centered approach to achievement tracking.
CITATION:
IEEE format
A. Mujezinović, A. Joksimović, D. Kostić, M. Jolović, M. Simić, “Blockchain-Based Platform for Tracking Students’ Achievements,” in Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2025, pp. 267-273. doi:10.15308/Sinteza-2025-267-273
APA format
Mujezinović, A., Joksimović, A., Kostić, D., Jolović, M., Simić, M. (2025). Blockchain-Based Platform for Tracking Students’ Achievements. Paper presented at Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2025-267-273