- Open Access
Conceptual framework based instruction for promoting knowledge integration in learning momentum
Phys. Rev. Phys. Educ. Res. 19, 020124 – Published 5 September, 2023
DOI: https://doi.org/10.1103/PhysRevPhysEducRes.19.020124
Abstract
Achieving knowledge integration for deep learning requires students to develop well-connected knowledge structures through the central idea of a concept. However, a number of studies on student learning in momentum have revealed persistent difficulties in understanding its fundamental concept, particularly in relating net force, time, and change in momentum with each other. This study evaluates the effectiveness of a teaching intervention based on the conceptual framework of momentum that targets knowledge integration. The evaluation outcomes of the intervention provide encouraging evidence suggesting that the conceptual framework model can be a valuable guide to the development of instruction for promoting knowledge integration and deep learning.
Physics Subject Headings (PhySH)
Article Text
References (30)
- L. Bao and K. Koenig, Physics education research for 21st century learning, Discip. Interdiscip. Sci. Educ. Res. 1, 2 (2019).
- M. H. Chiu, Algorithmic problem solving and conceptual understanding of chemistry by students at a local high school in Taiwan, Proc. Natl. Sci. Counc. Repub. China D 11, 20 (2001).
- M. H. Chiu, C. Guo, and D. F. Treagust, Assessing students’ conceptual understanding in science: An introduction about a national project in Taiwan, Int. J. Sci. Educ. 29, 379 (2007).
- National Research Council, A Framework for K-12 Science Education: Practice, Crosscuting Concepts, and Core Ideas (National Academies Press, Washington, DC, 2012).
- National Research Council, Assessing 21st Century Skills: Summary of a Workshop (National Academies Press, Washington, DC, 2011.
- E. Kim and S. J. Pak, Students do not overcome conceptual difficulties after solving 1000 traditional problems, Am. J. Phys. 70, 759 (2002).
- M. Alonso, Problem solving vs. conceptual understanding, Am. J. Phys. 60, 777 (1992).
- S. C. Nurrenbern and M. Pickering, Concept learning versus problem solving: Is there a difference?, J. Chem. Educ. 64, 508 (1987).
- A. B. Champagne, R. F. Gunstone, and L. E. Klopfer, A perspective on the differences between expert and novice performance in solving physics problems, Res. Sci. Educ. 12, 71 (1982).
- M. T. Chi, P. J. Feltovich, and R. Glaser, Categorization and representation of physics problems by experts and novices, Cogn. Sci. 5, 121 (1981).
- J. Larkin, J. McDermott, D. P. Simon, and H. A. Simon, Expert and novice performance in solving physics problems, Science 208, 1335 (1980).
- W. J. Gerace, R. J. Dufresne, W. J. Leonard, and J. P. Mestre, Problem solving and conceptual understanding, in Proceedings of the 2001 Physics Education Research Conference, Rochester, NY (AIP, New York, 2001).
- B. S. Eylon and F. Reif, Effects of knowledge organization on task performance, Cognit. Instr. 1, 5 (1984).
- A. H. Schoenfeld and D. J. Herrmann, Problem perception and knowledge structure in expert and novice mathematical problem solvers, J. Exp. Psychol. 8, 484 (1982).
- J. L. Snyder, An investigation of the knowledge structures of experts, intermediates and novices in physics, Int. J. Sci. Educ. 22, 979 (2000).
- M. C. Linn, The knowledge integration perspective on learning and instruction, in The Cambridge Handbook of the Learning Sciences (Cambridge University Press, New York, 2005), pp. 243–264.
- M. Kubsch, J. Nordine, K. Neumann, D. Fortus, and J. Krajcik, Probing the relation between students’ integrated knowledge and knowledge-in-use about energy using network analysis, Eurasia J. Math. Sci. Technol. Educ. 15, em1728 (2019).
- H. S. Lee, O. L. Liu, and M. C. Linn, Validating measurement of knowledge integration in science using multiple-choice and explanation items, Appl. Meas. Educ. 24, 115 (2011).
- R. Duit and D. Treagust, Conceptual change: A powerful framework for improving science teaching and learning, Int. J. Sci. Educ. 25, 671 (2003).
- R. Dai, J. C. Fritchman, Q. Liu, Y. Xiao, and L. Bao, Assessment of student understanding on light interference, Phys. Rev. Phys. Educ. Res. 15, 020134 (2019).
- Y. Nie, Y. Xiao, J. C. Fritchman, Q. Liu, J. Han, J. Xiong, and L. Bao, Teaching towards knowledge integration in learning force and motion, Int. J. Sci. Educ. 41, 2271 (2019).
- W. Xu, Q. Liu, K. Koenig, J. Fritchman, J. Han, S. Pan, and L. Bao, Assessment of knowledge integration in student learning of momentum, Phys. Rev. Phys. Educ. Res. 16, 010130 (2020).
- L. Bao and J. C. Fritchman, Knowledge integration in student learning of Newton’s third law: Addressing the action-reaction language and the implied causality, Phys. Rev. Phys. Educ. Res. 17, 020116 (2021).
- L. Xie, Q. Liu, H. Lu, Q. Wangyi, J. Han, X. Feng, and L. Bao, Student knowledge integration in learning mechanical wave propagation, Phys. Rev. Phys. Educ. Res. 17, 020122 (2021).
- Z. Liu, S. Pan, X. Zhang, and L. Bao, Assessment of knowledge integration in student learning of simple electric circuits, Phys. Rev. Phys. Educ. Res. 18, 020102 (2022).
- R. A. Lawson and L. C. McDermott, Student understanding of the work-energy and impulse-momentum theorems, Am. J. Phys. 55, 811 (1987).
- C. Singh and D. Rosengrant, Multiple-choice test of energy and momentum concepts, Am. J. Phys. 71, 607 (2003).
- R. J. Raven, The development of the concept of momentum in primary school children, J. Res. Sci. Teach. 5, 216 (1967).
- G. C. Rosa, C. Cari, N. S. Aminah, and J. Handhika, Students’ understanding level and scientific literacy competencies related to momentum and impulse, in J. Phys. Conf. Ser. 1097 012019 (2018).
- B. G. Dega and N. Govender, Assessment of students’ scientific and alternative conceptions of energy and momentum using concentration analysis, Afr. J. Res. Math. Sci. Technol. Educ. 20, 201 (2016).