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A comparative study on the effectiveness of blended learning, physical learning, and online learning in functional skills training among higher vocational education


  • Received: 02 March 2024 Revised: 12 June 2024 Accepted: 26 June 2024 Published: 02 July 2024
  • The widespread dissemination of the COVID-19 pandemic precipitated a transition from traditional, in-person pedagogy to online methods within higher vocational education. The inherent limitations of online learning have become progressively conspicuous. Given its pivotal role amidst the pandemic, numerous institutions have endeavored to integrate technology with traditional classroom pedagogies. Consequently, blended learning has emerged as a focal point within vocational education, garnering notable attention and interest. The question arises: which learning method proves most effective for vocational skills development? This study endeavored to ascertain the comparative effectiveness of various learning methods for vocational skills training. Specifically, employing a quantitative approach, the study conducted a comprehensive questionnaire survey of graduates of higher vocational institutions in China. Participants have undergone training via exclusively physical, thoroughly online, and blended learning formats, respectively. The objective was to evaluate the efficacy of these three methods as perceived by higher vocational graduates. In addition, the study aimed to analyze the personal and pedagogical factors that influence the effectiveness of these learning methods. The collected data underwent analysis utilizing SPSS software. One-way analysis of variance (ANOVA) tests, correlation analyses, and subsequent least significant difference (LSD) post-hoc analyses were employed to investigate the correlations between demographic variables and factors related to teachers and educational resources across the three learning methods. These findings indicate that blended learning is the most efficient approach, with a notable preference among vocational graduates. Physical learning demonstrated superior effectiveness, particularly in functional skills training. In divergence, online learning ranked the lowest among graduates' preference, efficiency, and efficacy in functional skills training. Among the demographic factors examined, gender and duration of graduation exhibited notable variances across the effectiveness of different learning methods. However, there are no significant differences in the area of origin, economic region, type of higher vocational institution, and majors. These insights provide valuable guidance for higher vocational institutions in selecting the most suitable learning methods for enhancing functional skills training.

    Citation: Zhongyan Hu, Yun Fah Chang, Ming Kang Ho. A comparative study on the effectiveness of blended learning, physical learning, and online learning in functional skills training among higher vocational education[J]. STEM Education, 2024, 4(3): 247-262. doi: 10.3934/steme.2024015

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  • The widespread dissemination of the COVID-19 pandemic precipitated a transition from traditional, in-person pedagogy to online methods within higher vocational education. The inherent limitations of online learning have become progressively conspicuous. Given its pivotal role amidst the pandemic, numerous institutions have endeavored to integrate technology with traditional classroom pedagogies. Consequently, blended learning has emerged as a focal point within vocational education, garnering notable attention and interest. The question arises: which learning method proves most effective for vocational skills development? This study endeavored to ascertain the comparative effectiveness of various learning methods for vocational skills training. Specifically, employing a quantitative approach, the study conducted a comprehensive questionnaire survey of graduates of higher vocational institutions in China. Participants have undergone training via exclusively physical, thoroughly online, and blended learning formats, respectively. The objective was to evaluate the efficacy of these three methods as perceived by higher vocational graduates. In addition, the study aimed to analyze the personal and pedagogical factors that influence the effectiveness of these learning methods. The collected data underwent analysis utilizing SPSS software. One-way analysis of variance (ANOVA) tests, correlation analyses, and subsequent least significant difference (LSD) post-hoc analyses were employed to investigate the correlations between demographic variables and factors related to teachers and educational resources across the three learning methods. These findings indicate that blended learning is the most efficient approach, with a notable preference among vocational graduates. Physical learning demonstrated superior effectiveness, particularly in functional skills training. In divergence, online learning ranked the lowest among graduates' preference, efficiency, and efficacy in functional skills training. Among the demographic factors examined, gender and duration of graduation exhibited notable variances across the effectiveness of different learning methods. However, there are no significant differences in the area of origin, economic region, type of higher vocational institution, and majors. These insights provide valuable guidance for higher vocational institutions in selecting the most suitable learning methods for enhancing functional skills training.


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  • Author's biography Hu Zhongyan is pursuing a Ph.D in Business at Taylor's University in Malaysia. She works in the President's Office of Yan'an University in China. Her research area is on talents training in higher vocational institutions. She is also interested in literature. She has published 8 academic papers and over 50 ancient and modern poems in periodicals, magazines, and newspapers; Dr. Chang Yun Fah is an associate professor of Statistics at Taylor's University, Malaysia. He was appointed as an Adjunct Professor at the Faculty of Foreign Languages, Dezhou University, China in 2020, and as a Senior Research Associate at University Tunku Abdul Rahman, Malaysia in 2022. He has published over 70 research articles, book chapters, books, and proceedings. His research interests include statistical modeling, data science, financial mathematics, image analysis, medical analysis, social statistics, and vocational education. Currently, he is an elected member of the International Statistical Institute and a panel assessor appointed by the Malaysian Qualifications Agency. He serves as a member of the editorial board and as a reviewer for various local and international journals; Dr. Ho Ming Kang teaches mainly modules in Actuarial Sciences such as applied statistical methods, life contingency, and survival models. His research activities are mainly on data analysis, such as regression modeling, time series forecasting, survival analysis, missing data analysis, and machine learning, with a growing interest in FinTech and artificial intelligence (AI). He has published in various scholarly journals including MATEMATIKA (Malaysian Journal of Industrial and Applied Mathematics), the International Journal of Computer Application, and the International Journal of Advanced and Applied Sciences. In addition, he also serves as a reviewer of international journals and international conferences
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