AN INVESTIGATION OF PRIMARY SCHOOL STUDENTS’ SCIENTIFIC LITERACY

Konstantinos G. Tsoumanis, Georgios Stylos, Konstantinos T. Kotsis

Abstract


Scientific literacy (SL) is critical for individuals to cope effectively with the everyday life situations of modern society. On this premise, this survey aims threefold: to validate the Greek version of the SL Assessment (SLA) tool, examine the SL of 425 Greek primary school students, and understand their attitudes and beliefs about science. Reliability and validity were investigated through statistical techniques, including exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and the alpha-Cronbach coefficient. According to the statistical analyses, students have moderate to low SL levels. Variables such as gender and urban vs. rural setting appear to significantly impact the performance of the study’s participants, and of particular interest are students’ attitudes and beliefs about science. The research findings enhance concern over students' low SL level and the extent to which the school establishment responds to society’s science needs and expectations.

 

Article visualizations:

Hit counter


Keywords


scientific literacy, attitudes, beliefs, primary students

Full Text:

PDF

References


Abd-El-Khalick, F. (2006). Over and over again: college students’ views of nature of science. In L. B. Flick & N. G. Lederman (Eds.), Scientific Inquiry and Nature of Science: Implications for Teaching, Learning, and Teacher Education (pp. 389-425). Dordrecht, The Netherlands: Kluwer Academic Publishers.

Abd-El-Khalick, F., Bell, R.L. and Lederman, N.G. (1998), The nature of science and instructional practice: Making the unnatural natural. Sci. Ed., 82: 417-436. https://doi.org/10.1002/(SICI)1098-237X(199807)82:4<417::AID-SCE1>3.0.CO;2-E

Alpaslan, M. M. (2017). The relationship between personal epistemology and self-regulation among Turkish elementary school students. The Journal of Educational Research, 110(4), 405-414. doi: http://dx.doi.org/10.1080/00220671.20 15.1108277.

American Association for the Advancement of Science. (1993). Benchmarks for SL. Oxford, UK: Oxford University Press.

Archer-Bradshaw, R. E. (2017). Teaching for SL? An examination of instructional practices in secondary schools in Barbados. Research in Science Education, 47(1), 67–93. https://doi.org/10.1007/s11165-015-9490-x

Bæck, U. D. K. (2016). Rural location and academic success—Remarks on research, contextualization, and methodology. Scandinavian Journal of Educational Research, 60(4), 435-448. https://doi.org/10.1080/00313831.2015.1024163

Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman and Company

Barger, M. M., Perez, T., Canelas, D. A., & Linnenbrink-Garcia, L. (2018). Constructivism and personal epistemology development in undergraduate chemistry students. Learning and Individual Differences, 63, 89-101. https://doi.org/10.1016/j.lindif.2018.03.006

Bartels, S., & Lederman, J. (2022). What do elementary students know about science, scientists and how they do their work?. International Journal of Science Education, 44(4), 627-646. https://doi.org/10.1080/09500693.2022.2050487

Bartlett, M. S. (1950). Tests of significance in factor analysis. British Journal of Psychology, 3(2), 77–85. https://doi.org/10.1111/j.2044-8317.1950.tb00285.x

Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186-3191. https://doi.org/10.1097/00007632-200012150-00014

Beavers, A.S., Lounsbury, J.W., Richards, J.K., Huck, S.W., Skolits, G.J., & Esquivel, S.L. (2013). Practical considerations for using exploratory factor analysis in educational research. Practical Assessment, Research & Evaluation, 18(6), 1-13.

Benjamin, T. E., Marks, B., Demetrikopoulos, M. K., Rose, J., Pollard, E., Thomas, A., & Muldrow, L. L. (2017). Development and validation of SL scale for college preparedness in STEM with freshmen from diverse institutions. International Journal of Science and Mathematics Education, 15(4), 607-623. https://doi.org/10.1007/s10763-015-9710-x

Brown, E. R., Smith, J. L., Thoman, D. B., Allen, J. M., & Muragishi, G. (2015). From bench to bedside: A communal utility value intervention to enhance students’ biomedical science motivation. Journal of Educational Psychology, 107(4), 1116-1135. https://doi.org/10.1037/edu0000033

Bybee, W. R. (2006). Scientific Inquiry and Scientific Teaching. In L. B. Flick & N. G. Lederman (Eds.), Scientific Inquiry and Nature of Science: Implications for Teach-ing, Learning, and Teacher Education (pp. 1-12). Dordrecht, The Netherlands: Kluwer Academic Publishers.

Choi, K., Lee, H., Shin, N., Kim, S. W. and Krajcik, J. (2011). Re conceptualization of SL in South Korea for the 21st century. Journal of Research in Science Teaching, 48(6), 670–697.

Chu, H. E., Treagust, D. F., Yeo, S., & Zadnik, M. (2012). Evaluation of students’ understanding of thermal concepts in everyday contexts. International Journal of Science Education, 34(10), 1509- 1534. https://doi.org/10.1080/09500693.2012.657714

Cofré, H., Núñez, P., Santibáñez, D., Pavez, J. M., Valencia, M., & Vergara, C. (2019). A critical review of students’ and teachers’ understandings of nature of science. Science & Education, 28, 205-248. https://doi.org/10.1007/s11191-019-00051-3

Conley, A. M., Pintrich, P. R., Vekiri, I., & Harrison, D. (2004). Changes in epistemological beliefs in elementary science students. Contemporary educational psychology, 29(2), 186-204. https://doi.org/10.1016/j.cedpsych.2004.01.004

DeBoer, G. E. (2000). SL: Another look at its historical and contemporary meanings and its relationship to science education reform. Journal of Research in Science Teaching: The Official Journal of the National Association for Research in Science Teaching, 37(6), 582-601.

Diana, S., Rachmatulloh, A., & Rahmawati, E. S. (2015). High School Students’ SL Profile Based on SL Assessments (SLA) Instruments. In Proceeding Biology Education Conference: Biology, Science, Enviromental, and Learning (Vol. 12, No. 1, pp. 285-291).

Dillon, J. (2009). On SL and curriculum reform. International Journal of Environmental & Science Education, 4, 201–213.

Dorfman, B. S., & Fortus, D. (2019). Students' self‐efficacy for science in different school systems. Journal of Research in Science Teaching, 56(8), 1037-1059. https://doi.org/10.1002/tea.21542

Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual review of psychology, 53(1), 109-132. https://doi.org/10.1146/annurev.psych.53.100901.135153

Ennis, R. H. (1996). Critical thinking dispositions: Their nature and assessability. Informal logic, 18(2).

Ennis, R. H. (2018). Critical thinking across the curriculum: A vision. Topoi, 37(1), 165-184. https://doi.org/10.1007/s11245-016-9401-4

Faremi, Y. A. (2016). Reliability coefficient of multiple–choice and short answer objective test items in basic technology: comparative approach. Journal of Educational Policy and Entrepreneurial Research (JEPER), 3(3), 59–69.

Fasce, A. (2017). The Parasites of Science. A Psycho-cognitive Characterization of a Pseudo-scientific Hoax. THEORIA. An International Journal for Theory, History and Foundations of Science, 32(3), 347-365.

Fasce, A., & Picó, A. (2019). Science as a vaccine. Science & Education, 28(1), 109-125. https://doi.org/10.1007/s11191-018-00022-0

Fausan, M. M., & Pujiastuti, I. P. (2017). Analisis Kemampuan Awal Iiterasi Sains Mahasiswa Berdasarkan Instrumen SL Assessment. In Seminar Nasional LP2M UNM (Vol. 2, No. 1).

Field, A. (2013). Discovering statistics using IBM SPSS statistics (5th ed.). SAGE Publications.

Fives, H., Huebner, W., Birnbaum, A. S., & Nicolich, M. (2014). Developing a measure of SL for middle school students. Science Education, 98(4), 549-580.

Fortus, D., Lin, J., Neumann, K., & Sadler, T. D. (2022). The role of affect in science literacy for all. International Journal of Science Education, 1-21. https://doi.org/10.1080/09500693.2022.2036384

Garner-O’Neale, L., Maughan, J., & Ogunkola, B. (2014). SL of undergraduate chemistry students in the University of the West Indies, Barbados: individual and joint contributions of age, sex, and level of study. International Letters of Social and Humanistic Sciences Vol. 13, No, 2. doi: http://dx.doi.org/10.5901/ajis.2013.v2n10p55

Glen, S. (2022, January 17). Kuder-Richardson 20 (KR-20) & 21 (KR-21). Statistics how to: Statistics for the rest of us! https://www.statisticshowto.com/kuder-richardson/

Good, J. J., Woodzicka, J. A., & Wingfield, L. C. (2010). The effects of gender stereotypic and counter-stereotypic textbook images on science performance. The Journal of social psychology, 150(2), 132- 147

Gormally, C., Brickman, P., & Lutz, M. (2012). Developing a test of scientific literacy skills (TOSLS): Measuring undergraduates’ evaluation of scientific information and arguments. CBE—Life Sciences Education, 11(4), 364-377.

Hambleton, R. K. (2001). The next generation of the ITC test translation and adaptation guidelines. European journal of psychological assessment, 17(3), 164. https://doi.org/10.1027//1015-5759.17.3.164

Hanushek, E. A., & Woessmann, L. (2015). The knowledge capital of nations: Education and the economics of growth. MIT Press.

Hayes, B. C., & Tariq, V. N. (2000). Gender differences in scientific knowledge and attitudes toward science: A comparative study of four Anglo-American nations. Public Understanding of Science, 9(4), 433. https://doi.org/10.1088/0963-6625/9/4/306

Hill, C., Corbett, C., & St Rose, A. (2010). Why so few? Women in science, technology, engineering, and mathematics. American Association of University Women. 1111 Sixteenth Street NW, Washington, DC 20036.

Hofer, B. K. (2000). Dimensionality and disciplinary differences in personal epistemology. Contemporary educational psychology, 25(4), 378-405.

Hofer, B. K. (2001). Personal epistemology research: Implications for learning and teaching. Educational psychology review, 13(4), 353-383.

Hofer, B. K., & Bendixen, L. D. (2012). Personal epistemology: Theory, research, and future directions.

Hofer, B. K., & Sinatra, G. M. (2010). Epistemology, metacognition, and self-regulation: Musings on an emerging field. Metacognition and learning, 5(1), 113-120. https://doi.org/10.1007/s11409-009-9051-7

Holbrook, J., & Rannikmae, M. (2009). The meaning of SL. International Journal of Environmental and Science Education, 4(3), 275-288

Honicke, T., & Broadbent, J. (2016). The influence of academic self-efficacy on academic performance: A systematic review. Educational Research Review, 17, 63-84. https://doi.org/10.1016/j.edurev.2015.11.002

Hu, L., & Bentler, M. (1999). Cut-off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

Hurd, P. Deh. (1958). Science literacy: Its meaning for American schools. Educational Leadership, 16, 13–16.

Kampourakis, K. (2016). The “general aspects” conceptualization as a pragmatic and effective means to introducing students to nature of science. Journal of Research in Science Teaching, 53(5), 667-682. https://doi.org/10.1002/tea.21305.

Karaarslan, G., & Sungur, S. (2011). Elementary students' self-efficacy beliefs in science: Role of grade level, gender, and socio-economic status. Science Education International, 22(1), 72-79.

Karaoglou, G., & Kotsis K. T. (2017). The effect of gender in scientific literacy. At the 10th Panhellenic Conference on Teachıng of Natural Scıences and New Technologıes ın Educatıon.

Khishfe, R. (2021). Explicit Instruction and Student Learning of Argumentation and Nature of Science. Journal of Science Teacher Education, 32(3), 325-349. https://doi.org/10.1080/1046560X.2020.1822652

Khishfe, R., & Lederman, N. (2006). Teaching nature of science within a controversial topic: Integrated versus nonintegrated. Journal of Research in Science Teaching. The Official Journal of the National Association for Research in Science Teaching, 43(4), 395-418. https://doi.org/10.1002/tea.20137

Kıran, D., & Sungur, S. (2012). Middle school students’ science self-efficacy and its sources: Examination of gender difference. Journal of Science Education and Technology, 21(5), 619-630. https://doi.org/10.1007/s10956-011-9351-y

Koutsianou, A., & Emvalotis, A. (2019). Greek Pre-Service Primary Teachers’ Efficacy Beliefs in Science and Mathematics Teaching: Initial Adaptation of the STEBI-B and MTEBI Instruments. International Journal of Educational Methodology, 5(3), 375-385. https://doi.org/10.12973/ijem.5.3.375

Kuder, G. F., & Richardson, M. W. (1937). The theory of the estimation of test reliability. Psychometrika, 2(3), 151–160. https://doi.org/10.1007/BF02288391

Lai, F. (2010). Are boys left behind? The evolution of the gender achievement gap in Beijing's middle schools. Economics of Education Review, 29(3), 383-399. https://doi.org/10.1016/j.econedurev.2009.07.009

Laugksch, R. C. (2000). SL: a conceptual overview. Science Education, 84, 71–94.

Lederman, J. S., & Bartels, S. B. S. (2018). Assessing the Ultimate Goal of Science Education: SL for All!. In Towards Inclusion of All Learners through Science Teacher Education (pp. 277-285). Brill.

Lederman, N. G. (2007). Nature of Science: Past, Present, and Future. In S. K. Abell & N. G. Lederman (Eds.), Handbook of Research on Science Education (pp. 831-879). Mahwah, NJ: Lawrence Erlbaum Associates.

Lederman, N. G. (2019). Contextualizing the relationship between nature of scientific knowledge and scientific inquiry: Implications for curriculum and classroom practice. Science & Education, 28, 249-267. https://doi.org/10.1007/s11191-019-00030-8

Lederman, N. G., & Lederman, J. S. (2012). Nature of scientific knowledge and scientific inquiry: Building instructional capacity through professional development. In Second İnternational Handbook of Science Education (pp. 335-359). Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-9041-7_24

Lederman, N. G., & Lederman, J. S. (2019). Teaching and learning nature of scientific knowledge: Is it Déjà vu all over again?. Disciplinary and Interdisciplinary Science Education Research, 1(1), 1-9. https://doi.org/10.1186/s43031-019-0002-0

Lederman, N. G., Antink, A., & Bartos, S. (2014). Nature of science, scientific inquiry, and SSI arising from genetics: A pathway to developing a scientifically literate citizenry. Science & Education, 23(2), 285-302. https://doi.org/10.1007/s11191-012-9503-3

Lederman, N.G. (1992), Students' and teachers' conceptions of the nature of science: A review of the research. Journal of Research in Science Teaching. 29, 331-359

Lin, H. S., 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

Lin, T. J., & Tsai, C. C. (2018). Differentiating the sources of Taiwanese high school students’ multidimensional science learning self-efficacy: An examination of gender differences. Research in Science Education, 48(3), 575-596. https://doi.org/10.1007/s11165-016-9579-x

Liu, S. Y., & Tsai, C. C. (2008). Differences in the scientific epistemological views of undergraduate students. International Journal of Science Education, 30(8), 1055-1073. https://doi.org/10.1080/09500690701338901

Losh, S. C., & Nzekwe, B. (2011). The influence of education major: How diverse preservice teachers view pseudoscience topics. Journal of Science Education and Technology, 20(5), 579-591. https://doi.org/10.1007/s10956-011-9297-0

Louis, R. A., & Mistele, J. M. (2012). The differences in scores and self-efficacy by student gender in mathematics and science. International Journal of Science and Mathematics Education, 10(5), 1163- 1190. https://doi.org/10.1007/s10763-011-9325-9

Marx, D. M., & Roman, J. S. (2002). Female role models: Protecting women’s math test performance. Personality and Social Psychology Bulletin, 28(9), 1183-1193. https://doi.org/10.1177/01461672022812004

Mason, L., Boscolo, P., Tornatora, M. C., & Ronconi, L. (2013). Besides knowledge: A cross-sectional study on the relations between epistemic beliefs, achievement goals, self-beliefs, and achievement in science. Instructional Science, 41(1), 49-79. https://doi.org/10.1007/s11251-012-9210-0

McBride, E., Oswald, W. W., Beck, L. A., & Vashlishan Murray, A. (2020). “I'm just not that great at science”: Science self‐efficacy in arts and communication students. Journal of Research in Science Teaching, 57(4), 597-622. https://doi.org/10.1002/tea.21603

McComas, W. F. (2017). Understanding how science works: the nature of science as the foundation for science teaching and learning. School Science Review, 98(365), 71-76.

McKeown, T. (2017). Validation Study of the Science Literacy Assessment: A Measure to Assess Middle School Students' Attitudes Toward Science and Ability to Think Scientifically. https://doi.org/10.25772/59RT-ZS13

Mohamed, M. T. (2014). Socio-cultural factors of teachers’ conceptions of knowledge: Epistemic beliefs of Arab teachers. Teacher Development, 18(1), 46-64. https://doi.org/10.1080/13664530.2013.878742

Muis, K. R., & Franco, G. M. (2010). Epistemic profiles and metacognition: Support for the consistency hypothesis. Metacognition and learning, 5(1), 27-45. https://doi.org/10.1007/s11409-009-9041-9

Naganuma, S. (2017). An assessment of civic SL in Japan: development of a more authentic assessment task and scoring rubric. International Journal of Science Education, Part B, 7(4), 301-322. https://doi.org/10.1080/21548455.2017.13233131

National Academies of Sciences, Engineering, and Medicine. (2016). Science literacy: Concepts, contexts, and consequences. Washington, DC: The National Academies Press. https://doi.org/10.17226/23595

National Research Council. (1996). National science education standards. Washington, DC: National Academic Press.

Nguyen, A., & Catalan-Matamoros, D. (2020). Digital Mis/Disinformation and Public Engagement with Health and Science Controversies: Fresh Perspectives from Covid-19. Media and Communication, 8(2), 323-328. doi: https://doi.org/10.17645/mac.v8i2.3352

Norris, S. P., & Phillips, L. M. (2003). How Literacy in Its Fundamental Sense Is Cen-tral to SL. Science education, 87(2), 224-240. https://doi.org/10.1002/sce.10066

OECD (2016a). PISA 2015 results (volume I): Excellence and equity in education. OECD Publishing.

OECD (2016b). PISA 2015 Assessment and Analytical Framework: Science, Reading, Mathematic and Financial Literacy, PISA, Paris: OECD Publishing.

OECD (2016c), Low-Performing Students: Why They Fall Behind and How to Help Them Succeed, PISA, Paris: OECD Publishing.

OECD (2017), PISA 2015 Assessment and Analytical Framework: Science, Reading, Mathematic, Financial Literacy and Collaborative Problem Solving, revised edition, PISA, Paris: OECD Publishing.

OECD (2019), PISA 2018 Results (Volume II): Where All Students Can Succeed, PISA, OECD Publishing, Paris, https://doi.org/10.1787/b5fd1b8f-en.

Osborne, J., & Dillon, J. (2008). Science Education in Europe: Critical Reflections. London: Nuffield Foundation.

Ottander, K., & Simon, S. (2021). Learning democratic participation? Meaning-making in discussion of socioscientific issues in science education. International Journal of Science Education, 43(12), 1895-1925. https://doi.org/10.1080/09500693.2021.1946200

Pajares, F. (1996). Self-efficacy beliefs in academic settings. Review of educational research, 66(4), 543- 578. https://doi.org/10.3102/00346543066004543

Pella, M. O., O’Hearn, G. T., & Gale, C. G. (1966). Referents to SL. Journal of Research in Science Teaching, 4, 199–208.

Rachmatullah, A., Diana, S., & Rustaman, N. Y. (2016). Profile of middle school students on SL achievements by using SL assessments (SLA). In AIP Conference Proceedings (Vol. 1708, No. 1, p. 080008). AIP Publishing LLC.

Reilly, D., Neumann, D. L., & Andrews, G. (2015). Sex differences in mathematics and science achievement: A meta-analysis of National Assessment of Educational Progress assessments. Journal of Educational Psychology, 107(3), 645. https://doi.org/10.1037/edu0000012

Roberts, D. A. (2007). SL/Science Literacy. In S. K. Abell & N. G. Lederman (Eds.), Handbook of Research on Science Education (pp. 729-780). Mah-wah, NJ: Lawrence Erlbaum Associates.

Rohana, R., Asrial, A., & Zurweni, Z. (2020). Profil Kemampuan Literasi Sains Peserta Didik Berdasarkan Instrumen SL Assessments (SLA). BIOEDUSAINS: Jurnal Pendidikan Biologi dan Sains, 3(2), 176-185. https://doi.org/10.31539/bioedusains.v3i2.1848

Sadler, T. D., & Zeidler, D. L. (2009). SL, PISA, and socioscientific discourse: Assessment for progressive aims of science education. Journal of Research in Science Teaching: The Official Journal of the National Association for Research in Science Teaching, 46(8), 909-921. https://doi.org/10.1002/tea.20327

Sargioti, A., & Emvalotis, A. (2020). Attitudes towards Science and the impact of epistemic beliefs on pre-service primary teachers’ SL. Educational Journal of the University of Patras UNESCO Chair, 7(1).

Schneider, M., & Preckel, F. (2017). Variables associated with achievement in higher education: A systematic review of meta-analyses. Psychological Bulletin, 143(6), 565–600. https://doi.org/10.1037/bul0000098

Sezgintürk, M., & Sungur, S. (2020). A multidimensional investigation of students’ science self-efficacy: The role of gender. İlkogretim Online-Elementary Education Online, 19(1), 208-218. https://doi.org/10.17051/ilkonline.2020.653660

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

Shen, B. S. P. (1975). Science literacy and the public understanding of science. In S. B. Day (Ed.), Communication of scientific information (pp. 44 – 52). Basel, Switzerland: S. Karger A.G.

Shin, D. D., Lee, M., Ha, J. E., Park, J. H., Ahn, H. S., Son, E., ... & Bong, M. (2019). Science for all: Boosting the science motivation of elementary school students with utility value intervention. Learning and Instruction, 60, 104-116. https://doi.org/10.1016/j.learninstruc.2018.12.003

Sjöström, J., & Eilks, I. (2018). Reconsidering different visions of SL and science education based on the concept of Bildung. Cognition, metacognition, and culture in STEM education: Learning, teaching and assessment, 65-88. https://doi.org/10.1007/978-3-319-66659-4_4

Sjöström, J., Frerichs, N., Zuin, V. G., & Eilks, I. (2017). Use of the concept of Bildung in the international science education literature, its potential, and implications for teaching and learning. Studies in Science Education, 53(2), 165-192. https://doi.org/10.1080/03057267.2017.1384649

Sofianopoulou, Ch., Emvalotis, A., Pitsia, V. & Karakolidis, A. (2017). Report on the Findings from the Programme for International Student Assessment (PISA) 2015 for Greece. Athens: Institute of Educational Policy (IEP)

Steegh, A. M., Höffler, T. N., Keller, M. M., & Parchmann, I. (2019). Gender differences in mathematics and science competitions: A systematic review. Journal of Research in Science Teaching, 56(10), 1431-1460. https://doi.org/10.1002/tea.21580

Stevens, J. (1992). Applied multivariate statistics for the social sciences (2nd ed.). Lawrence Erlbaum

Stylos, G., Kamtsios, S., & Kotsis, K.T. (2023). Assessment of Greek pre-service primary teachers’ efficacy beliefs in physics teaching. Journal of Science Teacher Education, 34(1), 44-62. https://doi.org/10.1080/1046560X.2021.2023959

Stylos, G., Siarka, O., & Kotsis, K. T. (2023). Assessing Greek pre-service primary teachers’ scientific literacy. European Journal of Science and Mathematics Education, 11(2), 271-282. . https://doi.org/10.30935/scimath/12637

Suwono, H., Maulidia, L., Saefi, M., Kusairi, S., & Yuenyong, C. (2022). The development and validation of an instrument of prospective science teachers’ perceptions of SL. EURASIA Journal of Mathematics, Science and Technology Education, 18(1), em2068. https://doi.org/10.29333/ejmste/11505

Tsoumanis, K. (2021). An investigation of Primary school Greek students’ scientific literacy [Master Thesis, University of Ioannina].

Tsoumanis, K., Stylos, G., & Kotsis, K. (2023). A Comparative Study between Greek Pre-service Teachers and Primary School Students’ Scientific Literacy Levels. Science Education International, 34(2), 121-131. https://doi.org/10.33828/sei.v34.i2.6

Ullman, J. B. (2001). Structural equation modeling. In: B. G. Tabachnick, & L. S. Fidell (Eds.), Using multivariate statistics. Boston, MA: Pearson Education.

UNESCO (2017). Cracking the code: Girls’ and women’s education in science, technology, engineering and mathematics (STEM).

Usher, E. L., Ford, C. J., Li, C. R., & Weidner, B. L. (2019). Sources of math and science self-efficacy in rural Appalachia: A convergent mixed methods study. Contemporary Educational Psychology, 57, 32-53. https://doi.org/10.1016/j.cedpsych.2018.10.003

Usher, E. L., Weidner, B. L., Liem, G. A. D., & McInerney, D. M. (2018). Sociocultural influences on self-efficacy development. Big theories revisited, 2, 141-164. https://doi.org/10.1016/j.cedpsych.2018.10.003

Uyanık, G. K., & Güler, N. (2013). A study on multiple linear regression analysis. Procedia-Social and Behavioral Sciences, 106, 234-240. https://doi.org/10.1016/j.sbspro.2013.12.027

Valladares, L. (2021). SL and social transformation. Science and Education, 30(3), 557-587. https://doi.org/10.1007/s11191-021-00205-2

Vieira, R. M., & Tenreiro-Vieira, C. (2016). Fostering SL and critical thinking in elementary science education. International Journal of science and mathematics education, 14(4), 659-680. https://doi.org/10.1007/s10763-014-9605-2

Wang, Y., Lavonen, J., & Tirri, K. (2019). An assessment of how SL-related aims are actualised in the National Primary Science curricula in China and Finland. International Journal of Science Education, 41(11), 1435-1456. https://doi.org/10.1080/09500693.2019.1612120

Webb-Williams, J. (2018). Science self-efficacy in the primary classroom: Using mixed methods to investigate sources of self-efficacy. Research in Science Education, 48(5), 939-961. https://doi.org/10.1007/s11165-016-9592-0

West, S.G., Finch., J.F., Curran, P,J. (1995). Structural equation models with nonnormal variables: problems and remedies. In Hoyle, R.H. (eds.) Structural equation modeling: Concepts, issues and applications. Newbery Park, CA: Sage.

Wilson, R. T., Watson, E., Kaelin, M., & Huebner, W. (2018). Early preparation and inspiration for STEM careers: Preliminary report of the epidemiology challenge randomized intervention, 2014- 2015. Public Health Reports, 133(1), 64-74. https://doi.org/10.1177/0033354917746983

Yacoubian, H. A. (2020). Teaching nature of science through a critical thinking approach. In Nature of Science in Science Instruction (pp. 199-212). Springer, Cham. https://doi.org/10.1007/978-3-030-57239-6_10

Yao, J.-X., & Guo, Y.-Y. (2018). Core competences and SL: The recent reform of the school science curriculum in China. International Journal of Science Education, 40(15), pp. 1913-1933. https://doi.org/10.1080/09500693.20




DOI: http://dx.doi.org/10.46827/ejes.v11i2.5195

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Konstantinos G. Tsoumanis, Georgios Stylos, Konstantinos T. Kotsis

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2015-2023. European Journal of Education Studies (ISSN 2501 - 1111) is a registered trademark of Open Access Publishing Group. All rights reserved.


This journal is a serial publication uniquely identified by an International Standard Serial Number (ISSN) serial number certificate issued by Romanian National Library (Biblioteca Nationala a Romaniei). All the research works are uniquely identified by a CrossRef DOI digital object identifier supplied by indexing and repository platforms. All authors who send their manuscripts to this journal and whose articles are published on this journal retain full copyright of their articles. All the research works published on this journal are meeting the Open Access Publishing requirements and can be freely accessed, shared, modified, distributed and used in educational, commercial and non-commercial purposes under a Creative Commons Attribution 4.0 International License (CC BY 4.0).