Open AccessHow to Optimize Student Learning Using Student Models That Adapt Rapidly to Individual Differences
Author(s) -
Luke G. Eglington,
Philip I. Pavlik
Publication year - 2022
Publication title -
international journal of artificial intelligence in education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.926
H-Index - 49
eISSN - 1560-4306
pISSN - 1560-4292
DOI - 10.1007/s40593-022-00296-0
Subject(s) - rule of thumb , computer science , function (biology) , machine learning , component (thermodynamics) , artificial intelligence , physics , algorithm , evolutionary biology , biology , thermodynamics
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