A Hybrid Transformer–Graph Framework for Curriculum Sequencing and Prerequisite Optimization in Computer Science Education with Explainable AI

Curriculum redesign in Computer Science and Information Technology has become increasingly complex due to rapid technological advancements, interdisciplinary knowledge requirements, and evolving industry expectations. Recent progress in artificial intelligence, particularly Transformer-based languag...

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Hlavní autoři:	Ritika Awasthi, Abhinav Shukla, Ayush Kumar Agrawal, Parul Dubey, R Kanesaraj Ramasamy
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-04-01
Edice:	Algorithms
Témata:	curriculum redesign transformer models prerequisite inference graph optimization explainable AI
On-line přístup:	https://www.mdpi.com/1999-4893/19/4/308
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