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

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Title: A Hybrid Transformer–Graph Framework for Curriculum Sequencing and Prerequisite Optimization in Computer Science Education with Explainable AI.
Authors: Awasthi, Ritika1 (AUTHOR), Shukla, Abhinav1,2 (AUTHOR), Agrawal, Ayush Kumar1,3 (AUTHOR), Dubey, Parul1,2 (AUTHOR) parul.dubey@sitnagpur.siu.edu.in, Ramasamy, R Kanesaraj2,3 (AUTHOR)
Source: Algorithms. Apr2026, Vol. 19 Issue 4, p308. 22p.
Database: Academic Search Ultimate
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  Data: A Hybrid Transformer–Graph Framework for Curriculum Sequencing and Prerequisite Optimization in Computer Science Education with Explainable AI.
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  Data: <searchLink fieldCode="JN" term="%22Algorithms%22">Algorithms</searchLink>. Apr2026, Vol. 19 Issue 4, p308. 22p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193433784
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        Value: 10.3390/a19040308
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        Text: English
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      – TitleFull: A Hybrid Transformer–Graph Framework for Curriculum Sequencing and Prerequisite Optimization in Computer Science Education with Explainable AI.
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              Text: Apr2026
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              Y: 2026
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