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Determination of huffaz academic achievement using binary logistic regression model

Zakaria, N. A. and Ahmad, T. and Awang, S. R. and Safar, A. (2021) Determination of huffaz academic achievement using binary logistic regression model. In: 28th Simposium Kebangsaan Sains Matematik, SKSM 2021, 28 July 2021 - 29 July 2021, Kuantan, Pahang, Virtual.

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Official URL: http://dx.doi.org/10.1088/1742-6596/1988/1/012104

Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:academic achievements, academic performance, binary logistic regression models
Subjects:Q Science > QA Mathematics
Divisions:Science
ID Code:95668
Deposited By: Narimah Nawil
Deposited On:31 May 2022 13:04
Last Modified:31 May 2022 13:04

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