Pixel International ConferencesPixel International ConferencesStudies on STEM (Science, Technology, Engineering and Mathematics) education reveal that science concept learning is a challenging task for primary school students nowadays. On the other hand, self-evaluation is a promising instructional approach to support science learning with respect to the effectiveness of executive plan, the strategies used, and learning outcomes. Accordingly, we have designed a self-evaluation intervention study to test students’ science academic well-being performance by explicit astronomical concepts rubrics presentation. In our study, 103 primary school students were randomly assigned to two self-evaluation conditions. In the experimental classroom, we compared the standard self-evaluation rubric to standard assessment script. After 15 weeks intervention, results showed that the students in the standard self-evaluation rubric conditions show significantly better science learning motivation and scientific capabilities than the standard assessment script group students. Results also indicated that explicit and detailed requirements are essential factors to support astronomical concept learning task by self-evaluation. Finally, the findings support the engagement statements of the Marzano’s New Taxonomy of Educational Objectives theory (MNT) in science concept learning field.
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• Autin, F., & Croizet, J. C. (2012). Improving working memory efficiency by reframing metacognitive interpretation of task difficulty. Journal of Experimental Psychology: General, 141(4), 610. • Deci, E. L., & Ryan, R. M. (2008). Self-determination theory: A macrotheory of human motivation, development, and health. Canadian Psychology/Psychologie Canadienne, 49(3), 182. • Eriksson, U. (2019). Disciplinary discernment: Reading the sky in astronomy education. Physical Review Physics Education Research, 15(1), 010133. • Kline, T. (2005). Psychological testing: A practical approach to design and evaluation. Sage. • Schunk, D. H. (2008). Metacognition, self-regulation, and self-regulated learning: Research recommendations. Educational Psychology Review, 20(4), 463-467. • Lee, K., & Bull, R. (2016). Developmental changes in working memory, updating, and math achievement. Journal of Educational Psychology, 108(6), 869. • Lelliott, A., & Rollnick, M. (2010). Big ideas: A review of astronomy education research 1974–2008. International Journal of Science Education, 32(13), 1771-1799. • Li, Y. L. (2018). Investigation and Research on the Status Quo of Learning Self-evaluation of Primary School Students: Take Chinese as an Example. (Master Dissertation. Nanjing Normal University) • Lishinski, A., & Yadav, A. (2021). Self-evaluation Interventions: Impact on Self-efficacy and Performance in Introductory Programming. ACM Transactions on Computing Education (TOCE), 21(3), 1-28. • Marzano, R. J., & Kendall, J. S. (Eds.). (2006). The new taxonomy of educational objectives. Corwin Press.
• Wang, H. (2019). A Study of Investigation and Cultivation of Primary School Students’ Scientific Thinking Ability. (Master Dissertation Southwest University) • Zhang, J., Hong, H. Y., Scardamalia, M., Teo, C. L., & Morley, E. A. (2011). Sustaining knowledge building as a principle-based innovation at an elementary school. The Journal of the Learning Sciences, 20(2), 262-307. |
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