FuMoE-csKT: fusing disentangled and self-attention in a personalized mixture-of-experts framework for cold-start knowledge tracing.

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Title: FuMoE-csKT: fusing disentangled and self-attention in a personalized mixture-of-experts framework for cold-start knowledge tracing.
Authors: Li, Shuyi1, Mohd Noah, Shahrul Azman1, shahrul@ukm.edu.my, Adam, Afzan1, Abd Majid, Nazatul Aini1
Source: PeerJ Computer Science; Jun2026, p1-28, 28p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 195336286
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=195336286
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.7717/peerj-cs.3922
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      – Code: eng
        Text: English
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        PageCount: 28
        StartPage: 1
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      – TitleFull: FuMoE-csKT: fusing disentangled and self-attention in a personalized mixture-of-experts framework for cold-start knowledge tracing.
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            NameFull: Li, Shuyi
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            NameFull: Mohd Noah, Shahrul Azman
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            NameFull: Adam, Afzan
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            NameFull: Abd Majid, Nazatul Aini
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          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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