The Role of Emotional Factors in Shaping Scientific Literacy Among Adolescents: A Case Study

Winata Tegar Saputra, Adi Rahmat, Nanang Winarno*, Nur Jahan Ahmad

Abstract


Academic achievement is not only influenced by their learning process but also by emotional and societal factors. This study examines the students’ profiles regarding scientific literacy and emotional factors. Also, the correlation on both sides is studied in one population. This study used a quantitative survey research design for 132 students in 9 grade secondary school. The emotional factors were divided into interest, enjoyment, and engagement regarding science learning, while the scientific literacy used PISA 2015 test items. It found that the result of scientific literacy among students is in the low category, with the average in both of them being 28.34 out of 100, with “explain phenomena scientifically” as the highest competency achievement, followed by “design and evaluate scientific enquiry” in the second highest and lastly “interpret data and evidence scientifically” as the lowest achievement competency. There are interest, enjoyment, and engagement factors in emotional factors, and the general average among the three is 3.02 out of 5.00, which includes the neutral category. The highest emotional factors for science learning are interest, enjoyment, and engagement, as the smallest value. The correlational study of scientific literacy to emotional factors was also conducted and showed 0.835, which includes a very strong category. Therefore, this study implicated insight into the curriculum design and training program for teachers to find better ways to accommodate the emotional needs of students


Keywords


Emotional factors; engagement; enjoyment; interest; science learning; scientific literacy.

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References


Bellová, R., Melicherčíková, D., & Tomčík, P. (2018). Possible Reasons for Low Scientific Literacy of Slovak Students in Some Natural Science Subjects. Research in Science and Technological Education, 36(2), 226–242. https://doi.org/10.1080/02635143.2017.1367656

Cooksey, R. W. (2020). Illustrating Statistical Procedures: Finding Meaning in Quantitative Data, Third Edition. In Illustrating Statistical Procedures: Finding Meaning in Quantitative Data, Third Edition. Springer Nature Singapore. https://doi.org/10.1007/978-981-15-2537-7

Cresswell, J. W. (2012). Planning, conducting, and evaluating quantitative and qualitative research.

Curtis, A. (2004). Survey and Correlational Research Design. In Sage Publications (pp. 225–260).

Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2017). How to Design and Evaluate Research in Education. In McGraw-Hill (Vol. 01).

Gamazo, A., & Martínez-Abad, F. (2020). An Exploration of Factors Linked to Academic Performance in PISA 2018 Through Data Mining Techniques. Frontiers in Psychology, 11(November), 1–17. https://doi.org/10.3389/fpsyg.2020.575167

Gilar-Corbi, R., Pozo-Rico, T., Castejón, J. L., Sánchez, T., Sandoval-Palis, I., & Vidal, J. (2020). Academic Achievement and Failure in University Studies: Motivational and Emotional Factors. Sustainability (Switzerland), 12(23), 1–14. https://doi.org/10.3390/su12239798

Gungor, A., Eryilmaz, A., & Fakioglu, T. (2007). The Relationship of Freshmen’s Physics Achievement and Their Related Affective Characteristics. Journal of Research in Science Teaching, 44(8), 1036–1056. https://doi.org/10.1002/tea.20200

Harefa, D., Sarumaha, M., Telaumbanua, K., Telaumbanua, T., Laia, B., & Hulu, F. (2023). Relationship Student Learning Interest To The Learning Outcomes Of Natural Sciences. International Journal of Educational Research & Social Sciences, 4(2), 240–246. https://doi.org/10.51601/ijersc.v4i2.614

Jannah, A. M., Suwono, H., & Tenzer, A. (2020). Profile and Factors Affecting Students’ Scientific Literacy of Senior High Schools. AIP Conference Proceedings, 2215(April). https://doi.org/10.1063/5.0000568

Jocz, J. A., Zhai, J., & Tan, A. L. (2014). Inquiry Learning in the Singaporean Context: Factors Affecting Student Interest in School Science. International Journal of Science Education, 36(15), 2596–2618. https://doi.org/10.1080/09500693.2014.908327

Kaur, N., & Vadhera, R. P. (2021). Predicting Students’ Achievement in Science From Selected Affective Factors. SN Social Sciences, 1(33). https://doi.org/10.1007/s43545-020-00040-2

Kaya, V. H., Bahceci, D., & Altuk, Y. G. (2012). The Relationship Between Primary School Students’ Scientific Literacy Levels and Scientific Process Skills. Procedia - Social and Behavioral Sciences, 47, 495–500. https://doi.org/10.1016/j.sbspro.2012.06.687

Kuo, Y. R., Tuan, H. L., & Chin, C. C. (2019). Examining Low and Non-low Achievers’ Motivation Towards Science Learning Under Inquiry-Based Instruction. International Journal of Science and Mathematics Education, 17(5), 845–862. https://doi.org/10.1007/s10763-018-9908-9

Lin, H. shyang, Hong, Z. R., & Huang, T. C. (2012). The Role of Emotional Factors in Building Public Scientific Literacy and Engagement with Science. International Journal of Science Education, 34(1), 25–42. https://doi.org/10.1080/09500693.2010.551430

Lin, H. shyang, Lawrenz, F., Lin, S. F., & Hong, Z. R. (2013). Relationships among Affective Factors and Preferred Engagement in Science-related Activities. Public Understanding of Science, 22(8), 941–954. https://doi.org/10.1177/0963662511429412

McNeill, K. L., & Krajcik, J. (2008). Inquiry and Scientific Explanations: Helping Students Use Evidence and Reasoning. In Science as inquiry in the secondary setting (pp. 121–134).

OECD. (2015). PISA 2015 Cognitive Items. OECD Programme for International Student Assessment 2015, 1–89. https://www.oecd.org/pisa/test/PISA2015-Released-FT-Cognitive-Items.pdf

Ogundeji, O. M., Madu, B. C., & Onuya, C. C. (2020). Scientific Explanation of Phenomenon, Imagination and Concept Formation as Correlates of Students’ Understanding of Physics Concepts. Journal of Natural Sciences Research, 10(3), 10–19. https://doi.org/10.7176/jnsr/11-16-03

Pritchard, M. E., & Wilson, G. S. (2003). Using Emotional and Social Factors to Predict Student Success. Journal of College Student Development, 44(1), 18–28. https://doi.org/10.1353/csd.2003.0008

Rubini, B., Ardianto, D., Pursitasari, I. D., & Permana, I. (2016). Identify Scientific Literacy From The Science Teachers’ Perspective. Jurnal Pendidikan IPA Indonesia, 5(2), 299–303. https://doi.org/10.15294/jpii.v5i2.7689

Sharon, A. J., & Baram-Tsabari, A. (2020). Can Science Literacy Help Individuals Identify Misinformation in Everyday Life? Science Education, 104(5), 873–894. https://doi.org/10.1002/sce.21581

She, H. C., Lin, H. shyang, & Huang, L. Y. (2019). Reflections on and Implications of the Programme for International Student Assessment 2015 (PISA 2015) Performance of Students in Taiwan: The Role of Epistemic Beliefs about Science in Scientific Literacy. Journal of Research in Science Teaching, 56(10), 1309–1340. https://doi.org/10.1002/tea.21553

She, H. C., Stacey, K., & Schmidt, W. H. (2018). Science and Mathematics Literacy: PISA for Better School Education. International Journal of Science and Mathematics Education, 16, 1–5. https://doi.org/10.1007/s10763-018-9911-1

Shin, H., & Kim, H.-N. (2010). Analysis of Elementary Teachers’ and Students’ Views about Difficulties on Open Science Inquiry Activities. In Journal of Korean Elementary Science Education (Vol. 29, Issue 3, pp. 262–276).

Sjøberg, S. (2015). PISA and Global Educational Governance - A Critique of the Project, Its Uses and Implications. Eurasia Journal of Mathematics, Science and Technology Education, 11(1), 111–127. https://doi.org/10.12973/eurasia.2015.1310a

Suryanti, Ibrahim, M., & Lede, N. S. (2018). Process Skills Approach to Develop Primary Students’ Scientific Literacy: A Case Study with Low Achieving Students on Water Cycle. IOP Conference Series: Materials Science and Engineering, 296(1). https://doi.org/10.1088/1757-899X/296/1/012030

Trautmann, N., MaKinster, J., & Avery, L. (2004). What Makes Inquiry So Hard? (and Why Is It Worth It?). National Association for Research in Science Teaching.

Trigwell, K., Ellis, R. A., & Han, F. (2012). Relations between Students’ Approaches to Learning, Experienced Emotions and Outcomes of Learning. Studies in Higher Education, 37(7), 811–824. https://doi.org/10.1080/03075079.2010.549220

Tsai, C. Y., Li, Y. Y., & Cheng, Y. Y. (2017). The Relationships Among Adult Affective Factors, Engagement in Science, and Scientific Competencies. Adult Education Quarterly, 67(1), 30–47. https://doi.org/10.1177/0741713616673148

Turiman, P., Omar, J., Daud, A. M., & Osman, K. (2012). Fostering the 21st Century Skills through Scientific Literacy and Science Process Skills. Procedia - Social and Behavioral Sciences, 59, 110–116. https://doi.org/10.1016/j.sbspro.2012.09.253

Zhao, Y. (2020). Two Decades of Havoc: A Synthesis of Criticism Against PISA. Journal of Educational Change, 21(2), 245–266. https://doi.org/10.1007/s10833-019-09367-x

Zhoc, K. C. H., Chung, T. S. H., & King, R. B. (2018). Emotional Intelligence (EI) and Self-Directed Learning: Examining Their Relation and Contribution to Better Student Learning Outcomes in Higher Education. British Educational Research Journal, 44(6), 982–1004. https://doi.org/10.1002/berj.3472




DOI: https://doi.org/10.24815/jipi.v9i1.44311

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