
Predicting Students' Performance in Mathematics through Educational Data Mining Techniques during the Transition from Primary to Lower Secondary School
Author(s) -
Senad Orhani
Publication year - 2022
Publication title -
ijesim
Language(s) - English
Resource type - Journals
ISSN - 2148-5984
DOI - 10.17278/ijesim.1122751
Subject(s) - set (abstract data type) , mathematics education , field (mathematics) , computer science , educational data mining , action research , action (physics) , data science , psychology , mathematics , pure mathematics , programming language , physics , quantum mechanics