Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal International Journal of Evaluation and Research in Education (IJERE) Journal of Education and Learning (EduLearn)
Marlissa Omar
Universiti Kebangsaan Malaysia
Humanities Education Library & Information Science Social Sciences Other

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Exploration and verification of fourth industrial revolution generic skills attributes for entry-level civil engineers Fathiyah Mohd Kamaruzaman; Roszilah Hamid; Azrul A. Mutalib; Mohamad Sattar Rasul; Marlissa Omar; Mohd Fakhrul Azizie Mohd Zaid
International Journal of Evaluation and Research in Education (IJERE) Vol 12, No 1: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v12i1.24135

Abstract

The fourth industrial revolution (4IR) requires the workforce to be equipped with new skills when existing skills need to be upgraded or improved because they are no longer in line with technological advancement in 4IR. Thus, it is crucial to determine what the new skills or 4IR skills are that can help the future workforce obtain a job after graduation. This study aimed to explore and verify the attributes of nine 4IR generic skills (GS4IR) for entry-level civil engineers in Malaysia by using a qualitative approach. An interview session was conducted with five senior engineers in the civil engineering (CE) field and three experts (two engineers in CE and one lecturer in CE faculty) for reliability data verification. The interview data were analyzed using coding analysis and presented in a matrix table. The results show 76 items identified as attributes of nine GS4IR constructs. Next, the verification of the constructs and attributes of GS4IR was obtained from Fleiss Kappa's reliability analysis to determine the overall approval index. The results of the analysis revealed an overall Kappa coefficient value of 0.61, which indicates a good level of agreement. The findings of this study consist of 58 attributes for nine constructs of GS4IR approved after the inter-rater reliability among the experts. The findings from this study are beneficial for the development of a framework of 4IR generic skills for civil engineering graduates as guidance to instill new skills in producing future engineers.
Digitalization of teaching and learning in TVET: a bibliometric analysis Norazreen Othman; Marlissa Omar; Mohamad Sattar Rasul
Journal of Education and Learning (EduLearn) Vol 20, No 1: February 2026
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/edulearn.v20i1.22292

Abstract

The rapid integration of digitalization in technical and vocational education and training (TVET) has gathered significant attention from researchers worldwide. This research conducted a comprehensive bibliometric analysis to explore the current landscape of digitalization of teaching and learning in TVET. The aims were to identify research trends, the most cited articles, type of document by subject area, top 10 authors, research hotspot, co-authorship analysis, and citation of article’s density. Bibliometric analysis techniques were employed by examining publication data spanning from 2015 to 2023, extracted from the Scopus database, particularly focusing on network visualization and clustering methods using VOSviewer software. The analysis revealed a steady increase in research output over the past decade, indicative of growing interest in the field. The distribution of publications among authors was balanced, indicating a collaborative research landscape. Nonetheless, there were swings in publishing rates, indicating the dynamic character of research goals and trends. Moreover, subject area analysis demonstrated a multidisciplinary approach reflecting the multifaceted nature of digitalization in TVET. By leveraging bibliometric analysis techniques, this research contributes to a deeper understanding of research trends, guiding future research directions and to advance innovative and sustainable practices in digital teaching and learning within TVET, thus benefiting learners, educators, and stakeholders.
Factors and gender differences in virtual reality adoption in English learning among vocational college students Yao Ling; Marlissa Omar; Mohamad Sattar Rasul
Journal of Education and Learning (EduLearn) Vol 20, No 2: May 2026
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/edulearn.v20i2.24377

Abstract

Virtual reality (VR) has been adopted in the education field, providing students with innovative methods to acquire and practice skills. With the increasing importance of English education in vocational colleges, learning method (LM) should be transformed and improved to enhance learning efficiency. VR is recognized as a valuable tool to improve learning outcomes, yet its application in English education for vocational colleges remains in the early stages. This study investigates the factors affecting VR adoption and examines whether gender difference among students impacts its practical application. Quantitative research method was conducted utilizing questionnaire to examine the factors affecting vocational students’ VR adoption in their English learning. Total 520 vocational students were selected as respondents to complete the questionnaire, and the data were analyzed using descriptive statistics (mean and standard deviation) and inferential statistics (independent sample t-test) to identify the differences between gender. The findings revealed that identified factors moderately influence VR adoption and no significant gender differences regarding the challenges vocational students face when using VR to learn. This study contributes to promoting VR adoption in English learning and helps to stimulate students’ interest in actively using VR, thereby enhancing learning outcomes and driving the transformation of educational methods.
Factors influencing cross-border e-commerce enterprises’ engagement in vocational education partnerships Zhan Guofang; Mohamad Sattar Rasul; Marlissa Omar
Journal of Education and Learning (EduLearn) Vol 20, No 1: February 2026
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/edulearn.v20i1.23577

Abstract

This study investigates the factors influencing cross-border e-commerce enterprises’ willingness to engage in vocational education partnerships, addressing talent shortages and improving practical skills in vocational education. It contributes to the field by applying the theory of planned behavior (TPB) to the collaboration between this emerging industry and vocational education, offering a novel perspective on the framework’s utility. A quantitative research design was employed, with data collected through a survey of 401 cross-border e-commerce enterprises in Zhejiang Province, China. Key findings reveal that perceived benefits (PB) positively influence behavioral attitudes (BA), while perceived risks (PR) exert a negative effect. BA, subjective norms (peer influence (PI) and superior influence (SI)), and perceived behavioral control (self-efficacy and controllability) significantly predict cooperation intention (CI). These findings offer practical insights for policymakers and educational institutions. To promote effective collaboration, governments, and educational institutions should build trust through clear agreements and aligned expectations, while reducing PRs and enhancing PB. Additionally, providing training, consulting, and resource support can strengthen enterprises’ self-efficacy and controllability. Leveraging information sharing, promoting successful case studies, and utilizing the influence of peers and superiors will help mitigate uncertainties and enhance CI.
Co-Authors Azrul A. Mutalib Fathiyah Mohd Kamaruzaman Mohamad Sattar Rasul Mohd Fakhrul Azizie Mohd Zaid Norazreen Othman Roszilah Hamid Yao Ling Zhan Guofang