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A Learning Fuzzy Cognitive Map (LFCM) Approach to Predict Student Performance
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-44457-9_3openalex-snapshot
Fuzzy Logic-Based Software Systems
inferred← citeshttps://doi.org/10.1007/978-981-19-1142-2_39openalex-snapshot
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Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022)
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inferred← citeshttps://doi.org/10.1080/10447318.2026.2659296openalex-snapshot
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inferred← citeshttps://doi.org/10.54216/ijns.210312openalex-snapshot
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