Impact of Equivalence Assessment in the Education Sector using the XAI Model of Blockchain with ECTS | |
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Author | |
Abstract |
The procedure for obtaining an equivalency certificate for international educational recognition is typically complicated and opaque, and differs depending on the nation and system. To overcome these issues and empower students, this study suggests a revolutionary assessment tool that makes use of blockchain technology, chatbots, the European Credit Transfer and Accumulation System (ECTS), and Explainable Artificial Intelligence (XAI). Educational equivalency assessments frequently face difficulties and lack of openness in a variety of settings. The suggested solution uses blockchain for tamper-proof record keeping and secure data storage, based on the capabilities of each component. This improves the blockchain’s ability to securely store application data and evaluation results, fostering immutability and trust. Using the distributed ledger feature of blockchain promotes fairness in evaluations by preventing tampering and guaranteeing data integrity. The blockchain ensures data security and privacy by encrypting and storing data. Discuss how XAI might explain AI-driven equivalence choices, promoting fairness and trust, by reviewing pertinent material in each domain. Chatbots can improve accessibility by streamlining data collection and assisting students along the way. Transparency and efficiency are provided via ECTS computations that integrate XAI and chatbots. Emphasizing the availability of multilingual support for international students, we also address issues such as data privacy and system adaption. The study recommends further research to assess the multifaceted method in practical contexts and improve the technology for moral and efficient application. In the end, both students and institutions will benefit from this, as it can empower individuals and promote international mobility of degree equivalization. |
Year of Publication |
2024
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Date Published |
jun
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URL |
https://ieeexplore.ieee.org/document/10575529
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DOI |
10.1109/ICAAIC60222.2024.10575529
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Google Scholar | BibTeX | DOI |