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Artificial Intelligence In Education

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Artificial Intelligence In Education

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Research Frontiers in Transfer Learning for Low-Resource Language Education

Application of pre-trained neural models to improve educational AI systems for under-resourced languages and specialized academic domains.

Cross-Linguistic Knowledge Transfer in Morphologically Diverse Systems
Zero-Shot Language Learning from Typologically Distant Languages
Domain Adaptation Without Native Speaker Data
Multilingual Representation Collapse in Low-Resource Settings
Synthetic Data Generation for Endangered Language Pedagogy
Meta-Learning for Rapid Language Acquisition Scaffolding
Phonological Transfer Across Writing Systems and Scripts
Knowledge Distillation from High-Resource to Minority Languages
Contextual Embedding Robustness in Data-Scarce Environments
Cross-Modal Transfer for Oral Language Without Text Resources

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