Open AccessFinding Contributing Factors of Students’ Academic Achievement Using Quantitative and Qualitative Analyses-Based Information Extraction
Author(s) -
Ariana Yunita,
Harry Budi Santoso,
Zainal A. Hasibuan
Publication year - 2022
Publication title -
international journal of emerging technologies in learning/international journal: emerging technologies in learning
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.454
H-Index - 24
eISSN - 1868-8799
pISSN - 1863-0383
DOI - 10.3991/ijet.v17i16.31945
Subject(s) - facet (psychology) , computer science , learning analytics , consistency (knowledge bases) , educational data mining , data science , analytics , big data , filter (signal processing) , academic achievement , qualitative property , inclusion (mineral) , big five personality traits , mathematics education , psychology , personality , data mining , artificial intelligence , machine learning , social psychology , computer vision