z-logo
open-access-imgOpen Access
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 -
international journal of educational studies in mathematics
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 , quantum mechanics , physics , pure mathematics , programming language

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom