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All Journal International Journal of Evaluation and Research in Education (IJERE) AMPLITUDO: Journal of Science & Technology Innovation
Mohd Mustafa Awang Kechik
Universiti Putra Malaysia
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Education

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Evaluation of healthcare science student learning styles based VARK analysis technique Izdihar Kamal; Muhammad Khalis Abdul Karim; Mohd Mustafa Awang Kechik; Xinni Ni; Hairil Rashmizal Abdul Razak
International Journal of Evaluation and Research in Education (IJERE) Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v10i1.20718

Abstract

This study aimed to evaluate the learning styles among healthcare students and to study the relationship with their academic achievement. This cross-sectional study was conducted among 137 healthcare students from six different courses. Data was collected using a self-administered questionnaire and developed based on the original visual, aural/auditory, read/write, and kinesthetic (VARK) assessment. The questionnaire was divided into two sections: the demographic status and the learning style perspective. A total of 119 respondents (86.8%) has chosen unimodal as their learning styles, while the rest of the 18 respondents (13.2%) choose multimodal as their preferred learning method. Among the unimodal learning styles, visual (32%) and reading (26%) were most preferred among respondents. The auditory and kinesthetic methods of learning were less and accounted for 10% to 20%. Notably, in multimodal learning styles preferences, 4% of students prefer a combination learning style of visual and kinesthetic methods. There was no significant relationship between learning styles and academic achievement using Pearson’s Chi-square test (p>0.05). Hence, both were independent of one another. Hence, some of the dominant learning styles needed to be considered based on their future profession.
A Comparative Study of Gadobutrol Relaxivity at 3 Tesla for Sustainable Contrast Management and Standardized Phantom Calibration Maheran Che Ha’; Izdihar Kamal; Mohd Mustafa Awang Kechik; Khairil Amir Sayuti; Yusri Mohammed; Muhammad Khalis Abdul Karim; Aris Doyan
AMPLITUDO : Journal of Science and Technology Innovation Vol. 5 No. 1 (2026): February
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/amplitudo.v5i1.527

Abstract

This study aimed to characterize the relaxivity profiles of pure agarose and gadobutrol in 1% (w/v) agarose under two experimental conditions (within the air and tap-water immersion). T1 and T2 values were quantified at 3 Tesla, Siemens, Vida scanner using inversion recovery turbo spin echo (IR-TSE) for T1 and multi-echo turbo spin echo (ME-TSE) for T2. Different concentration of agarose (0.2 – 4.0% w/v) and gadobutrol (0.5 – 6.0 mM) and their T1 and T2 value for each concentration were measured. Pure agarose demonstrated low longitudinal relaxivity (r1 » 0.04 - 0.05 s-1.(%w/v)-1 vs. r1 » 2.97 - 3.52 s-1mM-1) and high transverse relaxivity (r2 » 5.00 - 6.34 s-1.(%w/v)-1 vs. r2 » 3.80 - 4.55 s-1mM-1) compared to gadobutrol. Agarose showed a very high r2/r1 ratio (129.4-160.0) than gadobutrol (1.28-1.29), reflecting stronger gel-matrix effects on transverse dephasing than on longitudinal recovery. Tap-water immersion had shortened T1 by »9% relative to air, without significantly increasing variability. These findings provide relaxivity values for agarose and gadobutrol under well-defined conditions and illustrate how their complementary relaxation behavior can tune T1 and T2 values over a wide range to create customizable MRI calibration phantom for research and clinical use
Co-Authors Aris Doyan Hairil Rashmizal Abdul Razak Izdihar Kamal Izdihar Kamal Khairil Amir Sayuti Maheran Che Ha’ Muhammad Khalis Abdul Karim Muhammad Khalis Abdul Karim Xinni Ni Yusri Mohammed