Abstract
For the past few decades, research into students’ conceptions about scientific phenomena has accumulated tremendous findings, especially in the area of students’ knowledge regarding particles. However, additional research is still needed regarding the best way to introduce the particulate nature of matter at different grade levels as well as how to effectively correct students’ alternative conceptions about particles. A number of conceptual change theories have been proposed (e.g., Chi, 2008; diSessa 2008; Vosniadou 2008). In this chapter, we draw from studies conducted in Taiwan about the nature and behavior of gases in order to discuss, via the use of the Research And InstructioN-Based/Oriented Work (RAINBOW; Chiu (2007b, 2008), Chiu & Lin (2008) approach, why certain science concepts are simply more difficult to learn than others. The RAINBOW approach includes developmental, ontological, epistemological, evolutionary, affective/social, instructional, and integrative perspectives in explaining learning and teaching of the sciences for promoting conceptual learning and change. Taiwanese students’ conceptions about the nature and behavior of gas particles are analyzed and discussed from the RAINBOW perspective. This chapter also utilizes empirical data to interpret how the RAINBOW perspective extends our knowledge about science learning, how and why conceptual change may or may not occur, and what mental representations of a scientific phenomenon in the domain of gas particles are influenced by and then retained via the use of modeling activities in the science classroom.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Adadan, E., Trundle, K. C., & Irving, K. E. (2010). Exploring Grade 11 students’ conceptual pathways of the particulate nature of matter in the context of multirepresentational instruction. Journal of Research in Science Teaching, 47(8), 1004–1035.
Ben-Zvi, R., Eylon, B., & Silberstein, J. (1986). Is an atom of copper malleable? Journal of Chemical Education, 63, 64–66.
Boccara, N. (2010). Modeling complex system. Dordrecht: Springer.
Boulter, C. J., & Buckley, B. C. (2000). Constructing a typology of models for science education. In J. K. Gilbert & C. J. Boulter (Eds.), Developing models in science education (pp. 41–57). Dordrecht: Kluwer Academic.
Buckley, B. C., & Boulter, C. J. (2000). Investigating the role of representations and expressed models in building mental models. In J. K. Gilbert & C. J. Boulter (Eds.), Developing models in science education (pp. 119–135). Dordrecht: Kluwer Academic.
Carey, S. (1985). Conceptual change in childhood. Cambridge, MA: The MIT Press.
Chi, M. T. H. (1992). Conceptual change within and across ontological categories: Examples from learning and discovery in science. In R. Giere (Ed.), Cognitive models of science: Minnesota studies in the philosophy of science (pp. 129–186). Minneapolis: University of Minnesota Press.
Chi, M. T. H. (1997). Creativity: Shifting across ontological categories flexibly. In T. B. Ward, S. M. Smith, & J. Vaid (Eds.), Conceptual structures and processes: Emergence, discovery and change (pp. 209–234). Washington, DC: American Psychological Association.
Chi, M. T. H. (2005). Common sense conceptions of emergent processes: Why some misconceptions are robust. Journal of the Learning Sciences, 14(2), 161–199.
Chi, M. T. H. (2008). Three types of conceptual change: Belief revision, mental model transformation, and categorical shift. In S. Vosniadou (Ed.), Handbook of research on conceptual change (pp. 61–82). Hillsdale: Erlbaum.
Chi, M. T. H., & Roscoe, R. D. (2002). The processes and challenges of conceptual change. In M. Limon & L. Mason (Eds.), Reconsidering conceptual change, issues in theory and practice (pp. 3–27). Dordrecht: Kluwer Academic.
Chi, M. T. H., Slotta, J. D., & de Leeuw, N. (1994). From things to processes: A theory of conceptual change for learning science concepts. Learning and Instruction, 4, 27–43.
Chi, M. T. H., Siler, S. A., & Jeoung, H. (2004). Can tutors monitor students’ understanding accurately? Cognition and Instruction, 22(3), 363–387.
Chiu, M. H. (2007a). A national survey of students’ conceptions of chemistry in Taiwan. International Journal of Science Education, 29(4), 421–452.
Chiu, M. H. (2007b, July). Research And InstructioN-Based/Oriented Work (RAINBOW) for conceptual change in science learning. Paper presented at the 2nd Network for Inter-Asian Chemistry Educators Symposium, Taipei.
Chiu, M. H. (2008, 29 March–2 April). Research And Instruction-Based/Oriented Work (RAINBOW) for conceptual change in science learning—An example of students’ understanding of gas particles. Paper presented at the NARST 2008, Baltimore.
Chiu, M. H. (2012). Localization, regionalization, and globalization of chemistry education. Australian Journal of Education in Chemistry, 72, 23–29.
Chiu, M. H. & Chung, S. L (2008). Students’ ontological conceptual change on the topic of gas particles via the use of the Research and Instruction-based/oriented work (RAINBOW) approach. Paper presented at the EARLI, 6th International Conference on Conceptual Change, Turku.
Chiu, M. H., & Chung, S. L. (2009, 31 August–4 September). Investigating students’ ontological change in their mental models of gas particles. Paper presented at European Science Education Research Association (ESERA), Istanbul.
Chiu, M. H., & Lin, J. W. (2008). Research on learning and teaching of students’ conceptions in science. In I. V. Eriksson (Ed.), Science education in the 21st century (pp. 291–316). New York: Nova Science.
Chiu, M. H., & Liu, C. K. (2008). From science learning points of view to explore mental model and modeling ability in science education. Monthly Journal of Science Education (in Chinese), 314, 2–20.
Chiu, M. H., & Wu, H. K. (2009). The roles of multimedia in the teaching and learning of the triplet relationship in chemistry. In J. K. Gilbert & D. Treagust (Eds.), Multiple representations in chemical education (Vol. 4, pp. 251–283). Dordrecht: Springer.
Chiu, M. H., Wang, T. H., Chung, S. L., & Li, H. P. (2011, September). Using Web-based mental model diagnostic system to investigate students’ conceptual change in learning gas particles. Paper presented at the Biannual Conference of the European Science Education Research Association (ESERA) 2011: Science learning and Citizenship, Lyon.
diSessa, A. (2008). A bird’s-eye view of the “pieces” vs. “coherence” controversy (From the “Pieces” side of the fence.). In S. Vosniadou (Ed.), International handbook of research on conceptual change (pp. 35–60). New York: Taylor & Francis.
diSessa, A. A., Gillespie, N. M., & Esterly, J. B. (2004). Coherence versus fragmentation in the development of the concept of force. Cognitive Science, 28(6), 843–900.
Duit, R., & Treagust, D. F. (2003). Conceptual change: A powerful framework for improving science teaching and learning. International Journal of Science Education, 25(6), 671–688.
Franco, A. G., & Taber, K. S. (2009). Secondary students’ thinking about familiar phenomena: Learners’ explanations from a curriculum context where ‘particles’ is a key idea for organising teaching and learning. International Journal of Science Education, 31(14), 1917–1952.
Gilbert, J. K., & Boulter, C. (1998). Models in explanations, Part 1: Horses for courses? International Journal of Science Education, 20(1), 83–97.
Gilbert, J. K., & Treagust, D. (Eds.). (2009). Towards a coherent model for macro, submicro and symbolic representations in chemical education. In Multiple representations in chemical education (pp. 333–350). Dordrecht: Springer.
Griffiths, A. K., & Preston, K. R. (1992). Grade-12 students’ misconceptions relating to fundamental characteristics of atoms and molecules. Journal of Research in Science Teaching, 29(6), 611–628.
Harrison, A. G., & Treagust, D. F. (2002). The particulate nature of matter: Challenges in understanding the submicroscopic world. In J. K. Gilbert, O. De Jong, R. Justi, D. F. Treagust, & J. H. Van Driel (Eds.), Chemical education: Towards research-based practice (pp. 213–234). Dordrecht: Kluwer Academic.
Harrisonn, A. G., & Treagust, D. (1996). Secondary students’ mental models of atoms and molecules: Implications for teaching chemistry. Science Education, 80(5), 509–534.
Hmelo-Silver, C. E., & Azevedo, R. (2006). Understanding complex systems: Some core challenges. The Journal of the Learning Sciences, 15(1), 53–61.
Hmelo-Silver, C. E., & Pfeffer, M. G. (2004). Comparing expert and novice understanding of a complex system from the perspective of structures, behaviors, and functions. Cognitive Science, 28, 127–138.
Hmelo-Silver, C. E., Marathe, S., & Liu, L. (2007). Fish swim, rocks sit, and lungs breathe: Expert-novice understanding of complex systems. Journal of the Learning Sciences, 16, 307–331.
Ioannides, C., & Vosniadou, C. (2002). The changing meanings of force. Cognitive Science, 2, 5–61.
Jacobson, M. J., & Wilensky, U. (2006). Complex systems in education: Scientific and educational importance and implications for the learning sciences. The Journal of the Learning Sciences, 15(1), 11–34.
Johnson, P. M. (1998). Progression in children’s understanding of a “basic” particle theory: A longitudinal study. International Journal of Science Education, 20(4), 393–412.
Johnson, P., & Papageorgiou, G. (2010). Rethinking the introduction of particle theory: A substance-based framework. Journal of Research in Science Teaching, 47(2), 130–150.
Johnstone, A. H. (1993). The development of chemistry teaching: A changing response to changing demand. Journal of Chemical Education, 70(9), 701–705.
Johnstone, A. H. (2000). Teaching of chemistry-logical or psychological? Chemistry Education Research and Practice in Europe, 1(1), 9–15.
Justi, R., & Gilbert, J. K. (2000). History and philosophy of science through models: Some challenges in the case of ‘the atom’. International Journal of Science Education, 22(9), 993–1009.
Lawson, A. E. (1985). A review of research on formal reasoning and science instruction. Journal of Research in Science Teaching, 22(7), 569–617.
Liang, J. C., Chou, C. C., & Chiu, M. H. (2011). Student test performances on behavior of gas particles and mismatch of teacher predictions. Chemistry Education Research and Practice, 12, 238–250.
Lin, J. W., & Chiu, M. H. (2007). Exploring the characteristics and diverse sources of students’ mental models of acids and bases. International Journal of Science Education, 29(6), 771–803.
Mahaffy, P. (2006). Moving cemistry education into 3D: A tetrahedral metaphor for understanding chemistry. Journal of Chemical Education, 83(1), 49–55.
Margel, H., Eylon, B.-S., & Scherz, Z. (2008). A longitudinal study of junior high school students’ conceptions of the structure of materials. Journal of Research in Science Teaching, 45(1), 132–152.
Nakhleh, M. B., Samarapungavan, A., & Saglam, Y. (2005). Middle school students’ beliefs about matter. Journal of Research in Science Teaching, 42(5), 581–612.
Nobes, G., Martin, A. E., & Panagiotaki, G. (2005). The development of scientific knowledge of the earth. British Journal of Developmental Psychology, 23, 47–64.
Nussbaum, J., & Novick, S. (1982). Alternative frameworks, conceptual conflict and accommodation: Toward a principled teaching strategy. Instructional Science, 11, 183–200.
Papageorgiou, G., Staomvlasis, D., & Johnson, P. M. (2010). Primary teachers’ particle ideas and explanations of physical phenomena: Effect of an in-service training course. International Journal of Science Education, 32(5), 629–652.
Pintrich, P. R., Marx, R. W., & Boyle, R. A. (1993). Beyond cold conceptual change: The role of motivational beliefs and classroom contextual factors in the process of conceptual change. Review of Educational Research, 63(2), 167–199.
Sinatra, G. M., & Mason, L. (2008). Beyong knowledge: Learner characteristics influencing conceptual change. In S. Vosniadou (Ed.), International handbook of research on conceptual change (pp. 560–582). New York: Taylor & Francis.
Sinatra, G. M., & Pintrich, P. R. (Eds.). (2003). Intentional conceptual change. Mahwah: Erlbaum.
Smith, C. L., Wiser, M., Anderson, C. W., & Krajcik, J. (2006). Implications of research on children’s learning for standards and assessment: A proposed learning progression for matter and the atomic-molecular theory. Measurement: Interdisciplinary Research and Perspective, 4(1 & 2), 1–98.
Stathopoulou, C., & Vosniadou, S. (2007). Conceptual change in physics and physics related epistemological beliefs: A relationship under scrutiny. In S. Vosniadou, A. Baltas, & X. Vamvakoussi (Eds.), Re-framing the conceptual change approach in learning and instruction (pp. 145–165). Amsterdam: Elsevier Press.
Toulmin, S. (1972). Human understanding: The collective use and evolution of concepts. Princeton: Princeton University Press.
Treagust, D. F., & Duit, R. (2008). Conceptual change: A discussion of theoretical, methodological and practical challenges for science education. Cultural Studies of Science Education, 3(2), 297–328.
Tsitsipis, G., Stamovlasis, D., & Papageorgiou, G. (2009). The effect of three cognitive variables on students’ understanding of the particulate nature of matter and its changes of state. International Journal of Science Education, 32(8), 987–1016.
Tyson, L. M., Venville, G. J., Harrison, A. G., & Treagust, D. F. (1997). A multi-dimensional framework for interpreting conceptual change in the classroom. Science Education, 81, 387–404.
Vosniadou, S. (1994). Capturing and modeling the process of conceptual change. Learning and Instruction, 4, 45–69.
Vosniadou, S., & Brewer, W. F. (1994). Mental models of the day/night cycle. Cognitive Science, 18, 123–183.
Vosniadou, S., & Verschaffel, L. (2004). Extending the conceptual change approach to mathematics learning and teaching. In L. Verschaffel & S. Vosniadou (Guest Eds.), Conceptual Change in Mathematics Learning and Teaching, Special Issue of Learning and Instruction, 14(5), 445–451.
Vosniadou, S., Ioannides, C., Dimitrakopoulou, A., & Papademetriou, F. (2001). Designing learning environments to promote conceptual change in science. Learning and Instruction, 11, 381–419.
Vosniadou, S., Vamvakoussi, X., & Skopeliti, I. (2008). The framework theory approach to the problem of conceptual change. In S. Vosniadou (Ed.), International handbook of research on conceptual change (pp. 3–34). New York: Taylor & Francis.
Wang, T. H., Chiu, M. H., Lin, J. W., & Chou, C. C. (2013). Diagnosing students’ mental models via the web-based mental models diagnosis (WMMD) system. British Journal of Educational Technology, 44(2), E45–E48.
Whitesides, G. M., & Ismagilov, R. F. (1999). Complexity in chemistry. Science, 284(5411), 89–92.
Acknowledgment
We would like to thank the National Science Council in Taiwan for four grants which supported the study discussed in this chapter (NSC-95-2511-S-003-024-MY2, NSC 95-2511-S-003-025-MY2, NSC 97-2511-S-003-025-MY2, NSC-99-2511-S-003-024-MY3).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Chiu, MH., Chung, SL. (2013). The Use of Multiple Perspectives of Conceptual Change to Investigate Students’ Mental Models of Gas Particles. In: Tsaparlis, G., Sevian, H. (eds) Concepts of Matter in Science Education. Innovations in Science Education and Technology, vol 19. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5914-5_7
Download citation
DOI: https://doi.org/10.1007/978-94-007-5914-5_7
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-5913-8
Online ISBN: 978-94-007-5914-5
eBook Packages: Humanities, Social Sciences and LawEducation (R0)