Jialing Cai, Lurong Gong, Shanzhang Ren
Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou, 311131, China
Scientific modeling competence has been considered a major component of students' scientific literacy. In China, this perspective has been endorsed by the new standard of high school curriculum, which has influenced the creation of new-generation textbooks and teaching activities. Based on the analytical framework proposed in the recent academic literature, this study accesses the representations of modeling practices in the 2017 High School Science Curriculum Standards (HSSCS) and the Next Generation Science Standards (NGSS), regarding the extent, the distribution of the modeling practice representations (Model Selection, Model Construction, Model Validation, Model Analysis and Model Deployment), the quality (from L1 to L5), and the overall consistency of different aspects. The findings indicate substantial disparities in the representations of modeling practice in HSSCS and NGSS. The aspects of the modeling practice are fully represented by only HSSCS. For the four educational standards documents, the modeling practice representations are distributed unevenly throughout the contents, most of which are presented in Physical Sciences (PS) and Life Sciences (LS). Meanwhile, the requirement of the model verification for students is poorly or inconsistently represented in HSSCS and NGSS. It is recommended that explicit representation and broader dissemination of modeling practice be incorporated into the HSSCS.
modeling practice; representation; High School Science Curriculum Standards; NGSS
Jialing Cai, Lurong Gong, Shanzhang Ren. Comparison of Modeling Practice Representations in Science Educational Standards between China and the United States. Frontiers in Educational Research (2023) Vol. 6, Issue 21: 12-21. https://doi.org/10.25236/FER.2023.062103.
 Yao J X, Guo Y Y. Core competences and scientific literacy: the recent reform of the school science curriculum in China[J]. International Journal of Science Education, 2018, 40(15): 1913-33.
 States N L. Next generation science standards: for states, by states[Z]. Washington, D.C.: National Academies Press. 2013
 NGSS Lead State. Next generation science standards: For state, by state[Z]. National Academies Press. 2013.
 National Research Council. A framework for K-12 science education: Practices, crosscutting concepts, and core ideas[Z]. Washington, DC: The National Academies Press. 2012.
 Hodson D. Re-thinking Old Ways: Towards A More Critical Approach To Practical Work In School Science[J]. Studies in Science Education, 1993, 22(1): 85-142.
 Halloun I. Modeling Theory in Science Education[M]. Modeling Theory in Science Education, by IA Halloun ISBN 1-4020-5151-4 Berlin: Springer, 2006, 33-75.
 Shi F, Wang L, Liu X F, et al. Development and validation of an observation protocol for measuring science teachers' modeling-based teaching performance[J]. Journal of Research in Science Teaching, 2021, 58(9): 1359-1388.
 Jong J P, Chiu M H, Chung S L. The Use of Modeling-Based Text to Improve Students' Modeling Competencies[J]. Science Education, 2015, 99(5): 986-1018.
 Louca L T, Zacharia Z C. Modeling-based learning in science education: cognitive, metacognitive, social, material and epistemological contributions[J]. Educational Review, 2012, 64(4): 471-492.
 Buckley B C. Interactive multimedia and model-based learning in biology[J]. International Journal of Science Education, 2000, 22(9): 895-935.
 Cheng M F, Brown D E. Conceptual Resources in Self‐developed Explanatory Models: The importance of integrating conscious and intuitive knowledge[J]. International Journal of Science Education, 2010, 32(17): 2367-2392.
 Chang C K, Chiu M H. The development and application of modeling ability analytic indextake electrochemistry as an example[J]. Chinese Journal of Science Education, 2009, 17(4): 319-342.
 Namdar B, Shen J. Modeling-Oriented Assessment in K-12 Science Education: A synthesis of research from 1980 to 2013 and new directions[J]. International Journal of Science Education, 2015, 37(7): 993-1023.
 Miller A R, Kastens K A. Investigating the impacts of targeted professional development around models and modeling on teachers' instructional practice and student learning[J]. Journal of Research in Science Teaching, 2018, 55(5): 641-663.
 Goehner M F, Bielik T, Krell M. Investigating the dimensions of modeling competence among preservice science teachers: Meta-modeling knowledge, modeling practice, and modeling product[J]. Journal of Research in Science Teaching, 2022.
 Halloun I. Schematic modeling for meaningful learning of physics[J]. Journal of Research in Science Teaching, 1996, 33(9): 1019-1041.
 Nicolaou C T, Constantinou C P. Assessment of the modeling competence: A systematic review and synthesis of empirical research[J]. Educational Research Review, 2014, 13: 52-73.
 Ministry of Education, P. R. China. Physics curriculum standards for senior high school[Z]. People’s Education Press. 2017.
 Schwarz C V, White B Y. Metamodeling Knowledge: Developing Students' Understanding of Scientific Modeling [J]. Cognition and Instruction, 2005, 23(2): 165-205.
 Giere R N. Explaining Science: A Cognitive Approach[J]. American Journal of Physics, 1989, 57(6): 572-573.
 Grandy R, Duschl R A. Reconsidering the Character and Role of Inquiry in School Science: Analysis of a Conference[J]. Science & Education, 2007, 16(2): 141-166.
 Nersessian N J. Creating Scientific Concepts[M]. Creating Scientific Concepts, 2008.
 Lehrer R, Schauble L. Cultivating model-based reasoning in science education[J]. cambridge handbook of the learning sciences, 2006: 371-387.
 Passmore C, Stewart J. A modeling approach to teaching evolutionary biology in high schools[J]. Journal of Research in Science Teaching, 2002, 39.
 Schwarz C V, Reiser B J, Davis E A, et al. Developing a learning progression for scientific modeling: Making scientific modeling accessible and meaningful for learners[J]. Journal of Research in Science Teaching, 2010, 46(6): 632-654.
 Acher A, Arca M, Sanmarti N. Modeling as a teaching learning process for understanding materials: A case study in primary education[J]. Science Education, 2007, 91(3): 398-418.
 Haoli Zhuang, Yang Xiao, Qiaoyi Liu, Bing Yu, Jianwen Xiong, Lei Bao. Comparison of nature of science representations in five Chinese high school physics textbooks[J]. Nternational Journal of Science Education, 2021, 43(11): 1779-1798.
 Hestenes D. Modeling Software for Learning and Doing Physics[M]. Thinking Physics for Teaching, 1995.
 Hestenes D. Modeling Theory for Math and Science Education[M]. Modeling Students' Mathematical Modeling Competencies, 2010.
 Liu C K, Chiu M. H. From modeling perspectives to analyze modeling processes of atomic theory in senior high school chemistry textbooks and their implications [J]. Research and Development in Science Education Quarterly, 2010, 59: 23-54.
 Günther S, Fleige J, Upmeier Zu Belzen A, et al. Using the Case Method to Foster Preservice Biology Teachers’ Content Knowledge and Pedagogical Content Knowledge Related to Models and Modeling[J]. Journal of Science Teacher Education, 2019, 30: 1-23.
 Chiu M. H., Lin J. W. Modelling competence in science education [J]. Disciplinary and Interdisciplinary Science Education Research, 2019, 1: 1-11.
 Halloun I A. Mediated Modeling in Science Education [J]. Science & Education, 2007, 16(7): 653-697.
 Gouvea J, Passmore C. 'Models of' versus 'Models for' Toward an Agent-Based Conception of Modeling in the Science Classroom [J]. Science & Education, 2017, 26(1-2): 49-63.
 Chiu M. H., Guo C. J., Treagust D F. Assessing Students’ Conceptual Understanding in Science: An introduction about a national project in Taiwan [J]. International Journal of Science Education, 2007, 29(4): 379-390.
 Abimbola I O, Baba S. Misconceptions and alternative conceptions in science textbooks: The role of teachers as filters[J]. American Biology Teacher, 1996, 58(1), 14-19.
 Mutch-Jones, K., Boulden, D.C., Gasca, S. et al. Co-teaching with an immersive digital game: supporting teacher-game instructional partnerships [J]. Educational technology research and development. 2021, 69: 1453–1475.
 Ke L, Schwarz C V. Supporting students' meaningful engagement in scientific modeling through epistemological messages: A case study of contrasting teaching approaches[J]. Journal of Research in Science Teaching, 2021, 58(3): 335-365.
 Passmore C, Stewart J, Cartier J. Model-Based Inquiry and School Science: Creating Connections [J]. School Science and Mathematics, 2009, 109(7): 394-402.