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IJSTR >> Volume 9 - Issue 1, January 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Measuring The Physics Students’ Data Literacy Skill In The Era Of Industry 4.0 By Using Mirecal Learning Model

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Ayu Lusiyana, Festiyed, Yulkifli



Data literacy skill, MIRECAL learning model, The era of industry 4.0.



The purpose of this study is to measure physics students’ data literacy skill by using the MIRECAL learning model. Indonesian students' lack of data literacy in which data literacy is one of the skills needed in facing the era of industry 4.0 and competing in the working environment, the MIRECAL learning model has been developed to improve that. The study was conducted through observation of students’ activity and essay assessment towards students’ worksheets. The improvement level measurement of data literacy skill was conducted against 76 students of the third semester of physics major who took a mechanics course. The finding of this study shows that there are 24% of students who improve literacy skill at the expert level, 62% at the proficient level, 14% at the competence level, and no students or 0% at the beginner level. Thus, it is obvious that the MIRECAL learning model was effective for them to use. This study demonstrated the success of a learning model in improving data literacy skill needed to confront the era of industry 4.0 and compete in the work world. The results of this research contribute to the re-orientation of curriculum policy that is being designed by the Indonesian government.



[1] Schwab K, 2018, The Global Competitiveness Report 2018, World Economic Forum, Geneva: Switzerland.
[2] Schwab K, 2019, The Global Competitiveness Report 2018, World Economic Forum, Geneva: Switzerland.
[3] Joyce Bruce, Weil Marsha, Calhoun Emily. 2016. Models of Teaching: Model-Model Pengajaran. Penerjemah: Achmad Fawaid & Ateilla Mirza.
[4] Frank, Mark. 2016. Data Literacy - What is it and how can we make it happen?. Journal of Community Informatics. 12. 4-8.

[5] Oceans of Data Institute. 2016. Building Global Interest in Data Literacy: A Dialogue. Waltham, USA: Education Development Center, Inc.
[6] Ridsdale, Chantel & Rothwell, James & Ali-Hassan, Hossam & Bliemel, Michael & Irvine, Dean & Kelley, Daniel & Matwin, Stan & Smit Mike & Wuetherick, Bradley. 2016. Data Literacy: A Multidisciplinary Synthesis of the Literature. Proceedings of the Nineteenth SAP Academic Conference Americas: Building the Talent of the Future for the Digital Enterprise
[7] Maybee, C., & Zilinski, L. 2015. Data informed learning: A next phase data literacy framework for higher education. Proceedings of the Association for Information Science and Technology, 52(1), 1–4. http://doi.org/10.1002/pra2.2015.1450520100108
[8] Ridsdale, Chantel & Rothwell, James & Smit, Mike & Bliemel, Michael & Irvine, Dean & Kelley, Dan & Matwin, Stan & Wuetherick, Brad & Ali-Hassan, Hossam. 2015. Strategies and Best Practices for Data Literacy Education Knowledge Synthesis Report. 10.13140/RG.2.1.1922.5044.
[9] Dreyfus, Stuart E. 2004. The Five-Stage Model of Adult Skill Acquisition. Bulletin of Science Technology & Society 24: 177. DOI: 10.1177/0270467604264992.