Collaboration of Scramble Model and Video Media in Social Science Learning: Study on Elementary School Students
Keywords:
Emotional Intelligence, Parental Involvement, Family Environment, Learning CultureAbstract
This study aims to examine the effect of utilizing the scramble learning model, supported by video media, on the learning outcomes of elementary school students in social studies. The research employed a quasi-experimental method with a Non-equivalent Control Group Design. Sampling was conducted using Slovin’s formula, resulting in two groups: an experimental class (16 students) and a control class (16 students), selected through purposive sampling. The data were collected using multiple-choice tests administered before (pretest) and after (post-test) the intervention. The data were analyzed using a t-test with the aid of SPSS software. The analysis revealed that the average score of students in the experimental class (90.21) was significantly higher than that of the control class (74.79), which employed conventional teaching methods. The effect size (Cohen’s d) was calculated, yielding a value of 0.79, which falls within the medium effect category. This indicates that the scramble learning model, combined with video media, has a moderate yet meaningful influence on improving students' learning outcomes in social studies. These findings highlight the potential benefits of incorporating multimedia-assisted active learning strategies into the classroom. By engaging students more interactively and visually, the scramble model can enhance understanding and retention of content, leading to better academic performance. The study underscores the importance of adopting innovative pedagogical approaches in elementary education to foster more effective learning environments and improve student outcomes in various subject areas, particularly social studies.
References
Clark, Ruth C, & Mayer, R. E. (2023). E-learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning. john Wiley & sons.
Clark, Ruth Colvin, & Mayer, R. E. (2012). e-Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning: Third Edition. In e-Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning: Third Edition. john Wiley & sons. https://doi.org/10.1002/9781118255971
Cohen, L., Manion, L., & Morrison, K. (2007). Research Methods in Education. In Research Methods in Education (8th ed.). Routledge, Taylor & Francis Group. https://doi.org/10.4324/9780203029053
Cook, T. D., & Campbell, D. T. (2007). Experimental and quasi-experimental designs for generalized causal inference. Figures.
Creswell, J. W. (2014a). A Concise Introduction to Mixed Methods Research - International Student Edition. In Sagepub (Issue 1973). SAGE publications. https://books.google.co.id/books?id=UE-kzgEACAAJ
Creswell, J. W. (2014b). Qualitative,Quantitarive, and Mixed Method Approaches Research Design. In Sage (4th ed.). SAGE Publications, Inc.
Epstein, J. L. (2005). Attainable goals? The spirit and letter of the No Child Left Behind Act on parental involvement. Sociology of Education, 78(2), 179–182.
Field, A. (2024). Discovering statistics using IBM SPSS statistics. Sage publications limited.
Firman, F. (2022). The Implementation of Scramble Learning Model to Improve Civics Education Learning Achievement of MIM 1 Jombang Students. 2nd International Conference on Education and Technology (ICETECH 2021), 246–252.
Fitria, F., Ruslan, R., & Mappeasse, M. Y. (2021). Application of E-Learning Based on Enriched Virtual Model in the Subject Database. International Journal of Environment, Engineering and Education, 3(1), 32–40. https://doi.org/10.55151/ijeedu.v3i1.47
Fitria, F., Yahya, M., Ali, M. I., Purnamawati, P., & Mappalotteng, A. M. (2024). The Impact of System Quality and User Satisfaction: The Mediating Role of Ease of Use and Usefulness in E-Learning Systems. International Journal of Environment, Engineering and Education, 6(2), 119–131. https://doi.org/10.55151/ijeedu.v6i2.134
Fraenkel, Jack R., Wallen, N. E. (2009). How to Design and Evaluate Research in Education. In McGraw-Hill Higher Education (Issue 0). McGraw-Hill Education.
Gay, L. R., Mills, G. E., & Airasian, P. (2012). Educational Research: Competencies for Analysis and Applications (10th ed.). Pearson Education.
Ghasemi, A., & Zahediasl, S. (2012). Normality tests for statistical analysis: a guide for non-statisticians. International Journal of Endocrinology and Metabolism, 10(2), 486.
Goleman, D. (2021). Leadership: The power of emotional intelligence. More Than Sound LLC.
Guo, P. J., Kim, J., & Rubin, R. (2014). How video production affects student engagement: An empirical study of MOOC videos. L@S 2014 - Proceedings of the 1st ACM Conference on Learning at Scale, 41–50. https://doi.org/10.1145/2556325.2566239
Henderson, J. (1983). Professional Commitment To Cognitive Skill Development. Journal of Agricultural Education, 24(3), 71–75. https://doi.org/10.5032/jaatea.1983.03071
Hinton, P., McMurray, I., & Brownlow, C. (2014). SPSS Explained. In SPSS Explained (2nd ed.). Routledge. https://doi.org/10.4324/9781315797298
Idkhan, A. M., & Idris, M. M. (2021). Dimensions of Students Learning Styles at The University with The Kolb Learning Model. International Journal of Environment, Engineering and Education, 3(2), 75–82. https://doi.org/10.55151/ijeedu.v3i2.60
Kim, J., Guo, P. J., Seaton, D. T., Mitros, P., Gajos, K. Z., & Miller, R. C. (2014). Understanding in-video dropouts and interaction peaks inonline lecture videos. Proceedings of the First ACM Conference on Learning@ Scale Conference, 31–40.
Lamada, M. S., Sanatang, S., Ifani, A. Z., & Hidayat, D. H. (2022). Evaluation in Assessment of Student Competence: Application of the Indonesian Student Competency Assessment (AKSI) in Elementary Schools. International Journal of Environment, Engineering and Education, 4(2), 66–75. https://doi.org/10.55151/ijeedu.v4i2.81
Natsir, T., Rasyid, A. R., & Bassey, S. A. (2023). The SAVI Learning Model and the 21st Century Skills: Developing Critical Thinking, Collaboration, and Creativity in Students Vocational High School. International Journal of Environment, Engineering and Education, 5(1), 27–34. https://doi.org/10.55151/ijeedu.v5i1.96
Patton, M. Q. (2005). Qualitative research. Wiley Online Library.
Piaget, J., & Cook, M. (1952). The origins of intelligence in children (Vol. 8, Issue 5). International Universities Press New York.
Salovey, P., Detweiler-Bedell, B. T., Detweiler-Bedell, J. B., & Mayer, J. D. (2008). Emotional intelligence.
Schuck, S., & Kearney, M. (2006). Capturing learning through student-generated digital video. Australian Educational Computing, 21(1), 15–20.
Shah, R. K., & Barkas, L. A. (2018). Analyzing the impact of e-learning technology on students’ engagement, attendance and performance. Research in Learning Technology, 26. https://doi.org/10.25304/rlt.v26.2070
Slavin, R. E. (2015). Cooperative learning in elementary schools. Education 3-13, 43(1), 5–14.
Vygotsky, L. S. (2012). The collected works of LS Vygotsky: The fundamentals of defectology (abnormal psychology and learning disabilities). Springer Science & Business Media.
Vygotsky, L. S., & Cole, M. (1978). Mind in society: Development of higher psychological processes. Harvard university press.
Zimmerman, B. J., & Schunk, D. H. (2001). Reflections on theories of self-regulated learning and academic achievement. Self-Regulated Learning and Academic Achievement: Theoretical Perspectives, 2, 289–307.
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