The Power of Practicum in Science Education: An Analysis of the Role of Practical-Based Learning on Learning Satisfaction and Deep Learning

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Bibliographic Details
Title: The Power of Practicum in Science Education: An Analysis of the Role of Practical-Based Learning on Learning Satisfaction and Deep Learning
Language: English
Authors: Ismail Ismail (ORCID 0009-0009-1529-6987), Asham Bin Jamaluddin (ORCID 0000-0003-0562-072X), Arifah Novia Arifin (ORCID 0000-0002-6049-751X), Andi Citra Pratiwi (ORCID 0000-0001-9317-8964)
Source: Journal of Pedagogical Research. 2026 10(1):270-291.
Availability: Journal of Pedagogical Research. Duzce University, Faculty of Education, Konuralp Campus, 81620, Duzce, Turkey. e-mail: ijopr.editor@gmail.com; Web site: https://www.ijopr.com/
Peer Reviewed: Y
Page Count: 22
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Education Level: High Schools
Secondary Education
Descriptors: Foreign Countries, Science Education, High School Students, Learning Activities, Electronic Learning, Learning Modules, Experiential Learning, Student Satisfaction, Teaching Styles, Educational Practices
Geographic Terms: Malaysia, Indonesia
ISSN: 2602-3717
Abstract: Despite growing demands for deeper scientific understanding and practical competence, empirical evidence on how microlearning and teaching style interact with practical-based learning to strengthen learning quality across ASEAN school contexts remains limited. This study analyzes the effects of microlearning, teacher teaching style, and practical-based learning on students' learning satisfaction and deep learning in science education contexts in Indonesia and Malaysia. Employing a quantitative approach with a descriptive-correlational design, the research involved 437 high school students who completed an online survey using instruments validated by experts and pilot-tested prior to data collection. Data were analyzed using PLS-SEM across two models: Model I, which incorporated practical-based learning as a mediating variable, and Model II, which excluded the mediator. Results show that microlearning is the strongest predictor of learning satisfaction and deep learning, followed by teacher teaching style and practical-based learning. Additionally, Model I demonstrates the highest predictive power for deep learning with no significant differences between Indonesia and Malaysia. The findings affirm that the integrated implementation of microlearning, teacher teaching style, and practical-based learning effectively enhances learning quality and promotes the development of deep learning in science education. These findings imply that educational institutions and teachers should institutionalize microlearning-supported practicum design alongside responsive teaching practices, while policymakers can prioritize guidance and infrastructure that scale such integrated models to improve science learning outcomes.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1511344
Database: ERIC
Description
Abstract:Despite growing demands for deeper scientific understanding and practical competence, empirical evidence on how microlearning and teaching style interact with practical-based learning to strengthen learning quality across ASEAN school contexts remains limited. This study analyzes the effects of microlearning, teacher teaching style, and practical-based learning on students' learning satisfaction and deep learning in science education contexts in Indonesia and Malaysia. Employing a quantitative approach with a descriptive-correlational design, the research involved 437 high school students who completed an online survey using instruments validated by experts and pilot-tested prior to data collection. Data were analyzed using PLS-SEM across two models: Model I, which incorporated practical-based learning as a mediating variable, and Model II, which excluded the mediator. Results show that microlearning is the strongest predictor of learning satisfaction and deep learning, followed by teacher teaching style and practical-based learning. Additionally, Model I demonstrates the highest predictive power for deep learning with no significant differences between Indonesia and Malaysia. The findings affirm that the integrated implementation of microlearning, teacher teaching style, and practical-based learning effectively enhances learning quality and promotes the development of deep learning in science education. These findings imply that educational institutions and teachers should institutionalize microlearning-supported practicum design alongside responsive teaching practices, while policymakers can prioritize guidance and infrastructure that scale such integrated models to improve science learning outcomes.
ISSN:2602-3717