Open AccessBiometric features modeling to measure students engagement.
Author(s) -
Islam Alkabbany
Publication year - 2022
Language(s) - Uncategorized
Resource type - Dissertations/theses
DOI - 10.18297/etd/3711
Subject(s) - student engagement , class (philosophy) , variety (cybernetics) , psychology , set (abstract data type) , presentation (obstetrics) , mathematics education , computer science , biometrics , human–computer interaction , artificial intelligence , medicine , radiology , programming language