Faktor Penentu Prestasi Pelajar Matrikulasi dalam Subjek Perakaunan

Ishak, Zuaini; Manaf, Nor Aziah Abdul; Zin, Rosliza Mat

doi:10.32890/mjli.5.2008.7599

Malaysian Journal of Learning and Instruction

2008

DOI: 10.32890/mjli.5.2008.7599

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Faktor Penentu Prestasi Pelajar Matrikulasi dalam Subjek Perakaunan

Zuaini Ishak

Nor Aziah Abdul Manaf

Rosliza Mat Zin

Abstract: Kajian ini bertujuan mengenal pasti faktor-faktor yang menentukan prestasi pelajar dalam subjek perakaunan di peringkat matrikulasi. Berdasarkan 450 soal selidik yang dikeluarkan, analisis kajian ke atas 393 sampel yang boleh digunakan menunjukkan purata gred pelajar secara keseluruhannya berada dalam lingkungan C. Penemuan kajian dengan menggunakan kaedah “stepwise” regresi berkali, menunjukkan hubungan positif yang signifikan antara markah perakaunan pengurusan dengan purata mata gred keseluruhan dan pencapa… Show more

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Cited by 3 publications

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Predicting students’ performance at higher education institutions using a machine learning approach

Mohd Zaki,

Razali,

Awang Kader

et al. 2024

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PurposeMany studies have examined pre-diploma students' backgrounds and academic performance with results showing that some did not achieve the expected level of competence. This study aims to examine the relationship between students’ demographic characteristics and their academic achievement at the pre-diploma level using machine learning.Design/methodology/approachSecondary data analysis was used in this study, which involved collecting information about 1,052 pre-diploma students enrolled at Universiti Teknologi MARA (UiTM) Pahang Branch between 2017 and 2021. The research procedure was divided into two parts: data collecting and pre-processing, and building the machine learning algorithm, pre-training and testing.FindingsGender, family income, region and achievement in the national secondary school examination (Sijil Pelajaran Malaysia [SPM]) predict academic performance. Female students were 1.2 times more likely to succeed academically. Central region students performed better with a value of 1.26. M40-income students were more likely to excel with an odds ratio of 2.809. Students who excelled in SPM English and Mathematics had a better likelihood of succeeding in higher education.Research limitations/implicationsThis research was limited to pre-diploma students from UiTM Pahang Branch. For better generalizability of the results, future research should include pre-diploma students from other UiTM branches that offer this programme.Practical implicationsThis study is expected to offer insights for policymakers, particularly, the Ministry of Higher Education, in developing a comprehensive policy to improve the tertiary education system by focusing on the fourth Sustainable Development Goal.Social implicationsThese pre-diploma students were found to originate mainly from low- or middle-income families; hence, the programme may help them acquire better jobs and improve their standard of living. Most students enrolling on the pre-diploma performed below excellent at the secondary school level and were therefore given the opportunity to continue studying at a higher level.Originality/valueThis predictive model contributes to guidelines on the minimum requirements for pre-diploma students to gain admission into higher education institutions by ensuring the efficient distribution of resources and equal access to higher education among all communities.

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Predicting students’ performance at higher education institutions using a machine learning approach

Mohd Zaki,

Razali,

Awang Kader

et al. 2024

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Understanding the Employees Acceptance on Online Training for Basic Managerial Finance

Hamdan¹,

Nordin²,

Khalid³

2019

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The latest educational platform that supports teaching and learning in this 21st Century is Massive Open Online Courses (MOOC) that seen as an effective and supportive future learning environment. To date, Openlearning.com has served as an established MOOC for educational online platform. The emergence of educational based technology seems can be benefited for employees empowerment. Towards this extent, our online training is used to enhance their managerial skills and training related task. Thus, this study is to explore the level of acceptance of the online corporate training via MOOCs due to the remaining gap between intention and behavior in the online training via MOOC setting. The acceptance of technology is assessed using online survey based on the modified Unified Theory of Acceptance and Use of Technology (UTAUT) factors. The respondents were 94 employees. The result was statistically significant and the insight of the intention to use the MOOC as online training platform was significantly accepted for improving skills on basic managerial finance.

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Academic Performance of Pre-Graduate Students

Amin

Hanawi

Mohamed³

et al. 2013

IES

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This study aims to investigate the performance of FTSM students' academic achievement, based on the number of years of their study and entry requirements. The main objectives of this study are to look at the STPM, Matriculation and Diploma students' academic achievement while studying in IHE, and whether students with low-entrance CGPAs could compete in IHE. Data were analyzed using the descriptive statistics and statistical inference; ANOVA. The findings of this study show that students with low-entrance CGPAs could still obtain the equivalent CGPAs as the high-entrance CGPA students while in IHE. STPM students have managed to improve their CGPAs in IHE. Matriculation students with low CGPA managed to improve their performance, while those with excellent CGPAs were able to maintain theirs. The results found that only Diploma holders have shown a decrease in their FTSM CGPAs compared with their entrance CGPAs. The results of this study may be able to enhance the motivation of students with poor entrance CGPAs, and also to motivate lecturers to continue guiding students with low entrance CGPAs.

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Faktor Penentu Prestasi Pelajar Matrikulasi dalam Subjek Perakaunan

Cited by 3 publications

References 21 publications

Predicting students’ performance at higher education institutions using a machine learning approach

Predicting students’ performance at higher education institutions using a machine learning approach

Understanding the Employees Acceptance on Online Training for Basic Managerial Finance

Academic Performance of Pre-Graduate Students

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