AI-Driven Continuous Learning Analysis and Blockchain Validation: A Review on Innovations in Digital Education

Title

AI-Driven Continuous Learning Analysis and Blockchain Validation: A Review on Innovations in Digital Education

Creator

Athulya, S.; Reena, Melbin J.

Description

The rapid evolution of digital education has necessitated innovative approaches to enhance learning experiences, provide personalized insights, and ensure the credibility of achievements. This study analyses the challenges in AI-based continuous learning analysis for students and how we can securely share certificates through blockchain technology. The amalgamation of artificial intelligence and blockchains can create a secure, open, and trustworthy environment that schools, students, and employers can make use of. It is important to protect student data along with technological advancements. In response to the dynamic landscape of digital education, novel approaches are essential to enrich learning experiences, offer personalized insights, and maintain the credibility of achievements. This research reviews existing AI-based framework that facilitates ongoing learning assessment for students while ensuring secure certificate sharing through blockchain technology. By amalgamating artificial intelligence and blockchain, a robust ecosystem emerges that fosters transparent, efficient, and secure interactions among educational institutions, learners, and employers. Drawing from these evaluations, the framework suggests customized learning paths, thus amplifying the effectiveness of learning journeys. The objective of this study is to analyze the existing methods and to suggest the latest technologies in education, which will help the education sector to keep track of technological advancements and be in the race. 2025 IEEE.

Source

2025 International Conference on Data Science and Business Systems, ICDSBS 2025;

Date

01-01-2025

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Artificial Intelligence; Blockchain; data privacy; Edtech; Personalized learning

Coverage

Athulya S., Department of Computer Science and Engineering, Christ University, Bangalore, India; Reena M.J., Department of Computer Science and Engineering, Christ University, Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-833158560-0;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICDSBS63635.2025.11032007

https://www.scopus.com/pages/publications/105011047046?origin=resultslist