Optimizing AI-Driven Digital Resources in Vocational English Learning Using Plithogenic n-SuperHyperGraph Structures for Adaptive Content Recommendation
Digital vocational English learning systems face challenges in addressing diverse learner profiles, incomplete feedback, and dynamic content requirements. Traditional recommendation models often lack the flexibility to manage multi-dimensional attributes such as profession, language level, and media...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of New Mexico
2025-07-01
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| Series: | Neutrosophic Sets and Systems |
| Subjects: | |
| Online Access: | https://fs.unm.edu/NSS/19DigitalResources.pdf |
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