Exploring senior high school students’ preconceptions of collision concepts using visual representation

Authors

  • Rida Ramdani Department of physics education, Institut Pendidikan Indonesia
  • Arip Nurahman Department of physics education, Institut Pendidikan Indonesia

DOI:

https://doi.org/10.31980/ripe.v2i2.31

Keywords:

Preconception, Concepts of collision, Visual representation

Abstract

Understanding students’ preconceptions is an important initial step towards meaningful and appropriate physics learning. Particularly in the concept of collisions, students’ understanding of collision concepts often does not align with those established by scientists. Therefore, to explore students’ preconceptions, visual representation enables students to connect their experiences with specific concepts. This aids in revealing and diagnosing students’ preconceptions. This research aims to analyze high school students’ preconceptions regarding collision concepts by examining their visual representations. The research design employs a qualitative descriptive research design with data collection methods including observation sheets and interviews. Observation sheets containing visual representations by students are analyzed using a four-step semiotic analysis approach, while interview data is analyzed thematically. Seventy-two tenth-grade students were sampled offline using convenience sampling. The research findings reveal that students’ use of visual representations indicates diverse preconceptions about collision concepts, categorizing them at the macroscopic level. This data is examined across four categories of student visuals: (1) 11 visuals that are correct; (2) 18 visuals based on the objects used; (3) 34 visuals depicting different types of collisions; (4) and 29 visuals that are incorrect.

References

Abd-El-Khalick, Fouad, and Norman G Lederman. 2000. Improving science teachers’ conceptions of nature of science: a critical review of the literature. International journal of science education 22 (7): 665–701.

Ainsworth, Shaaron, Vaughan Prain, and Russell Tytler. 2011. Drawing to learn in science. Science 333 (6046): 1096–1097.

Asenova1, Asya, and Michael Reiss. 2011. The role of visualization of biological knowledge in the formation of sets of educational skills.

Baroutsis, Aspa, Lisa Kervin, Annette Woods, and Barbara Comber. 2019. Understanding children’s perspectives of classroom writing practices through drawings. Contemporary Issues in Early Childhood 20 (2): 177–193.

Batlolona, John Rafafy, Markus Diantoro, Marleny Leasa, et al. 2020. Students’ mental models of solid elasticity: mixed method study. Journal of Turkish Science Education 17 (2): 200–210.

Besson, Ugo, and Laurence Viennot. 2004. Using models at the mesoscopic scale in teaching physics: two experimental interventions in solid friction and fluid statics. International Journal of Science Education 26 (9): 1083–1110.

Canlas, Ian Phil. 2021. Using visual representations in identifying students’ preconceptions in friction. Research in Science & Technological Education 39 (2): 156–184.

Castleberry, Ashley, and Amanda Nolen. 2018. Thematic analysis of qualitative research data: is it as easy as it sounds? Currents in pharmacy teaching and learning 10 (6): 807–815.

Castro-Alonso, Juan C, Paul Ayres, and John Sweller. 2019. Instructional visualizations, cognitive load theory, and visuospatial processing. Visuospatial processing for education in health and natural sciences, 111–143.

Cauley, Kathleen M, and James H McMillan. 2010. Formative assessment techniques to support student motivation and achievement. The clearing house: A journal of educational strategies, issues and ideas 83 (1): 1–6.

Cook, Desmond L. 1962. The hawthorne effect in educational research. The Phi Delta Kappan 44 (3): 116–122.

Corpuz, Edgar D, and N Sanjay Rebello. 2011. Investigating students’ mental models and knowledge construction of microscopic friction. ii. implications for curriculum design and development. Physical Review Special Topics-Physics Education Research 7 (2): 020103.

Doyle, Louise, Catherine McCabe, Brian Keogh, Annemarie Brady, and Margaret McCann. 2020. An overview of the qualitative descriptive design within nursing research. Journal of research in nursing 25 (5): 443–455.

Maryam, Eka. 2020. Identifikasi miskonsepsi menggunakan three-tier diagnostic test berbasis google form pada pokok bahasan potensial listrik. SILAMPARI Jurnal Pendidikan Ilmu Fisika 2 (2): 149–162.

Mutlu-Bayraktar, Duygu, Veysel Cosgun, and Tugba Altan. 2019. Cognitive load in multimedia learning environments: a systematic review. Computers & Education 141:103618.

Rivai, Achmad, Irnin Agustina Dwi Astuti, Indica Yona Okyranida, and Dwi Aprillia Setia Asih. 2021. Pengembangan media pembelajaran fisika berbasis android menggunakan appypie dan videoscribe pada materi momentum dan impuls. Journal of Learning and Instructional Studies 1 (1): 9–16.

Schreiber, Franz J, Jens Eisert, and Johannes Jakob Meyer. 2023. Classical surrogates for quantum learning models. Physical Review Letters 131 (10): 100803.

Schukajlow, Stanislaw, Judith Blomberg, Johanna Rellensmann, and Claudia Leopold. 2022. The role of strategy-based motivation in mathematical problem solving: the case of learner-generated drawings. Learning and Instruction 80:101561.

Triyani, G, A Danawan, I Suyana, and I Kaniawati. 2019. An investigation of students’ misconceptions about momentum and impulse through interactive conceptual instruction (ici) with computer simulation. In Journal of physics: conference series, 1280:052008. 5. IOP Publishing.

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Published

2023-12-26

How to Cite

Ramdani, R., & Nurahman, A. (2023). Exploring senior high school students’ preconceptions of collision concepts using visual representation. Research in Physics Education, 2(2), 59–68. https://doi.org/10.31980/ripe.v2i2.31

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Articles