Open AccessDetermination of Huffaz Academic Achievement Using Binary Logistic Regression Model
Author(s) -
Noor Ayuni Che Zakaria,
Tahir Ahmad,
Siti Rahmah Awang,
Ajmain Safar
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1988/1/012104
Subject(s) - memorization , theory of multiple intelligences , psychology , mathematics education , logistic regression , academic achievement , curriculum , identification (biology) , statistics , pedagogy , mathematics , botany , biology
There have been increasing awareness among parents to send their children to dual-system tahfiz schools. However, mode of teaching in these schools may pose shortcomings to their students’ (huffaz) academic performances. Therefore, identification of huffaz’ intelligences, needs, curriculums, and learning styles offer in these schools are worthwhile to be investigated. The aims of this study are to identify dominant intelligence among huffaz that is based on Gardner’s multiple intelligence theory and to describe the relationship between academic achievement and Quran memorization performances of the huffaz. A number of 130 tahfiz students (79 male and 51 female) from four different tahfiz schools are the subjects in this study. Binomial logistic model is used to determine factors that influence huffazs’ academic performances. Results show huffazs’ Quranic performances (memorization) do influence their academic performances. Furthermore, naturalist intelligence is determined as the dominant intelligence among huffaz.