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A blockchain-based deep learning approach for student course recommendation and secure digital certification
1Institute of Social Sciences, University of Mediterranean Karpasia, Mersin, Turkey.
Scientific Reports
|August 9, 2025
Summary
The Deep Certifier-DX509 model improves e-learning by offering personalized course recommendations and secure certificate issuance using a novel Modified Attention-Enabled Deep Long Short-Term Memory (MA-DLSTM) model and X509 blockchain integration.
Area of Science:
- Educational Technology
- Computer Science
- Cybersecurity
Background:
- E-learning and personalized learning necessitate robust student course recommendation and secure certificate issuance systems.
- Existing hybrid and collaborative filtering methods struggle with syllabus updates, complexity, and certificate security.
- The demand for enhanced academic performance, personalized learning paths, and secure certification is growing.
Purpose of the Study:
- To introduce the Deep Certifier-DX509 model, addressing limitations in current student course recommendation and certificate issuance systems.
- To enhance the security and accuracy of course recommendations and digital certificates in e-learning environments.
- To provide a secure and efficient solution for personalized learning journeys and verifiable academic credentials.
Main Methods:
- Developed the Deep Certifier-DX509 model integrating a Modified Attention-Enabled Deep Long Short-Term Memory (MA-DLSTM) for recommendations.
- Incorporated the X509 Certificate generation algorithm, utilizing X509 Blockchain with Proof-of-Work (PoW) for enhanced security.
- Implemented a two-step authentication process within the certificate sub-system for improved security and data integrity.
Main Results:
- The Deep Certifier-DX509 model demonstrated superior performance compared to existing techniques.
- Achieved a high Genuine User Rate (GUR) of 0.73.
- Exhibited efficient performance metrics: Memory Usage of 453.81KB, Transaction time of 1.03s, Responsiveness of 2.39s, and Throughput of 119.52bps.
Conclusions:
- The proposed Deep Certifier-DX509 model effectively addresses the challenges of syllabus updates, complexity, and security in e-learning recommendations and certificate issuance.
- The integration of MA-DLSTM and X509 Blockchain provides a secure, accurate, and efficient system for personalized education.
- The model offers a significant advancement in creating trustworthy and adaptive e-learning ecosystems.
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