Skip to main content
Log in

Assessing 16-Year-Old Students’ Understanding of Aqueous Solution at Submicroscopic Level

  • Published:
Research in Science Education Aims and scope Submit manuscript

Abstract

Submicrorepresentations (SMR) could be an important element, not only for explaining the experimental observations to students, but also in the process of evaluating students’ knowledge and identifying their chemical misconceptions. This study investigated the level of students’ understanding of the solution concentration and the process of dissolving ionic and molecular crystals at particulate level, and identifies possible misconceptions about this process. Altogether 408 secondary school students (average age 16.3) participated in the study. The test of chemical knowledge was applied and the analysis of four selected problems related to drawing SMRs in solution chemistry is presented. Selected students were also interviewed in order to gain more detailed data about their way of solving problems comprised in the knowledge test. The average achievement on solution chemistry items was only 43%. It can be concluded from the results that students have different misconceptions about arrangements of solute particles in the solution and presentation of its concentration at particulate level. Students show quite low achievement scores on the problem regarding drawing the SMR of ionic substance aqueous solution (7.6% correct answers) and even lower ones on the problem regarding drawing the SMR of diluted and saturated aqueous solutions of molecular crystal (no completely correct answers). It can be also concluded that many different misconceptions concerning the particulate level of basic solution chemistry concepts can be identified. In the conclusion some implications for teaching to reach a higher level of understanding of solution chemistry are proposed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Abell, S. K., & Roth, M. (1995). Reflection on a fifth-grade life science lesson: Making sense of children's understanding of scientific models. International Journal of Science Education, 17, 59–74.

    Article  Google Scholar 

  • Ainsworth, S. (1999). The functions of multiple representations. Computers & Education, 33, 131–152.

    Article  Google Scholar 

  • Bryman, A. (2004). Social research methods. New York: Oxford University Press.

    Google Scholar 

  • Bunce, D. M., & Gabel, D. (2002). Differential effects in the achievement of males and females of teaching the particulate nature of chemistry. Journal of Research in Science Teaching, 39, 911–972.

    Article  Google Scholar 

  • Butts, W., & Smith, R. (1987). What do Students Perceive as Difficult in HSC Chemistry? Journal of Chemical Education, 32, 45–51.

    Google Scholar 

  • Chittleborough, G. D., Treagust, D. F., & Mocerino, M. (2002). Constraints to the development of first year university students` mental models of chemical phenomena. Teaching and Learning Teaching and Learning Forum 2002: Focusing on the Student. Retrieved January 30, 2004, from http://www.ecu.edu.au/conferences/tlf/2002/pub/docs/ Chittleborough.pdf.

  • diSessa, A. (2004). Metarepresentation: Native competence and targets for instruction. Cognition and Instruction, 22, 293–331.

    Article  Google Scholar 

  • Devetak, I. (2005). Explaining the latent structure of understanding submicropresentations in science. Dissertation, University of Ljubljana.

  • Devetak, I., Urbančič, M., Wissiak-Grm, K. S., Krnel, D., & Glažar, S. A. (2004). Submicroscopic representations as a tool for evaluating students’ chemical conceptions. Acta Chimica Slovenica, 51, 799–814.

    Google Scholar 

  • Dolin, J. (2001). Representational forms in physics. Paper presented at the 3rd International Conference of the ESERA, Thessaloniki, Avgust.

  • Duit, R., & Treagust, D. F. (2003). Conceptual change: A powerful framework for improving science teaching and learning. International Journal of Science Education, 25, 671–688.

    Article  Google Scholar 

  • Ebenezer, J. V., & Erickson, G. L. (1996). Chemistry students’ conceptions of solubility: A phenomenography. Science Education, 80, 181–201.

    Article  Google Scholar 

  • Ebenezer, J. V., & Gaskell, P. J. (1995). Relational conceptual change in solution chemistry. Science Education, 79, 1–17.

    Article  Google Scholar 

  • Eskilsson, O., & Hellden, G. (2003). A longitudinal study on 10–12-year-olds’ conceptions of the transformations of matter. Chemistry Education: Research and Practice in Europe, 4, 291–304. Retrieved September 16, 2003, from http://www.uoi.gr/cerp/2003_October/pdf/05Eskilsson.pdf .

    Google Scholar 

  • Field, A. (2000). Discovering statistics using SPSS for windows. London: Sage Publications.

    Google Scholar 

  • Gabel, D. (1999). Improving teaching and learning through chemistry education research: A look to the future. Journal of Chemical Education, 76, 548–554.

    Google Scholar 

  • Haidar, A. H., & Abraham, M. R. (1991). A comparison of applied and theoretical knowledge of concepts based on the particulate nature of matter. Journal of Research in Science Teaching, 28, 919–938.

    Google Scholar 

  • 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, & K. H. Van Driel (Eds.) Chemical education: Towards research-based practice (pp. 189–212). Netherlands: Kluwer.

    Google Scholar 

  • Herron, J. D. (1996). The chemistry classroom, formulas for successful teaching. Washington: American Chemical Society.

    Google Scholar 

  • Heyworth, R. M. (1999). Procedural and conceptual knowledge of expert and novice for the solving of a basic problem in chemistry. International Journal of Science Education, 21, 195–211.

    Article  Google Scholar 

  • Hinton, P. R. (2004). Statistics explained. London: Routledge.

    Google Scholar 

  • Johnstone, A. H., Sleet, R. J., & Vianna, J. F. (1994). An information processing model of learning: Its application to an undergraduate laboratory course in chemistry. Studies in Higher Education, 19, 77–87.

    Article  Google Scholar 

  • Kalin, J., & Valenčič-Zuljan, M. (2007). Teacher perceptions of the goals of effective school reform and their own role in it. Educational Studies, 33, 163–175.

    Article  Google Scholar 

  • Lee, K.-W. L. (1999). A comparison of university lecturers’ and pre-service teachers’ understanding of a chemical reaction at the particulate level. Journal of Chemical Education, 76, 1008–1012.

    Article  Google Scholar 

  • Lee, O., Eichunger, D. C., Anderson, C. W., Berkheimer, G. D., & Blakeslee, T. D. (1993). Changing middle school students’ conceptions of matter and molecules. Journal of Research in Science Teaching, 30, 249–270.

    Article  Google Scholar 

  • Lemke, J. (2004). The literacies of science. In E. W. Saul (Ed.) Crossing borders in literacy and science instruction: Perspectives on theory and practice (pp. 33–47). Arlington: International Reading Association/National Science Teachers Association.

    Google Scholar 

  • Limón, M. (2002). Conceptual change in history. In M. Limón, & L. Mason (Eds.) Reconsidering conceptual change: Issues in theory and practice (pp. 259–289). Dordrecht: Kluwer.

    Chapter  Google Scholar 

  • Longden, K., Black, P., & Solomon, J. (1991). Children’s interpretation of dissolving. International Journal of Science Education, 13, 59–68.

    Article  Google Scholar 

  • Mayer, R. E. (1993). Illustrations that instruct. In R. Glaser (Ed.) Advances in instructional psychology (pp. 253–284). Hillsdale: Erlbaum.

    Google Scholar 

  • Mayer, R. E. (1996). Learning strategies for making sense out of expository text: The SOI model for guiding three cognitive processes in knowledge construction. Educational Psychology Review, 8, 357–371.

    Article  Google Scholar 

  • Mayer, R. E., & Moreno, R. (2001). A cognitive theory of multimedia learning: Implications for design principles. Retrieved June 30, 2007 from http://www.unm.edu/~moreno/PDFS/chi.pdf.

  • Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38, 43–52.

    Article  Google Scholar 

  • Moreno, R., & Mayer, R. E. (2000). A learner-centered approach to multimedia explanations: Deriving instructional design principles from cognitive theory. Interactive multimedia electronic journal of computer-enhanced learning, 2, 78–107 Retrieved June 30, 2007 from http://imej.wfu.edu/articles/2000/2/05/index.asp.

    Google Scholar 

  • Paivio, A. (1986). Mental representations: A dual coding approach. New York: Oxford University Press.

    Google Scholar 

  • Papageorgioua, G., & Johnson, P. (2005). Do particle ideas help or hinder pupils’ understanding of phenomena? International Journal of Science Education, 27, 1299–1317.

    Article  Google Scholar 

  • Pintrich, P. R., & Sinatra, G. M. (2003). Future directions for theory and research on intentional conceptual change. In G. M. Sinatra, & P. R. Pintrich (Eds.) Intentional conceptual change (pp. 429–441). Mahwah: N.J. Lawrence.

    Google Scholar 

  • Prain, V., & Waldrip, B. (2006). An exploratory study of teachers’ and students’ use of multi-modal representations of concepts in primary science. International Journal of Science Education, 28, 1843–1866.

    Article  Google Scholar 

  • Prieto, T., Blanco, A., & Rodrigues, A. (1989). The ideas of 11 to 14-year-old students about nature of solutions. International Journal of Science Education, 11, 451–463.

    Article  Google Scholar 

  • Russell, T., & McGuigan, L. (2001). Promoting understanding through representational redescription: An illustration referring to young pupils’ ideas about gravity. Paper presented at the 3rd International Conference of the ESERA, Thessaloniki, Avgust.

  • Smith, K. J., & Metz, P. A. (1996). Evaluating student understanding of solution chemistry through microscopic representations. Journal of Chemical Education, 73, 233–235.

    Google Scholar 

  • Treagust, D. F., Chittleborough, G., & Mamiala, T. L. (2003). The role of sub-microscopic and symbolic representations in chemical explanations. International Journal of Science Education, 25, 1353–1368.

    Article  Google Scholar 

  • Valanides, N. (2000). Primary student teachers’ understanding of the particulate nature of matter and its transformation during dissolving. Chemistry Education: Research and Practice in Europe, 1, 249–262 Retrieved September 16, 2003 from http://www.uoi.gr/cerp/2000_May/pdf/33-06valanides.pdf.

    Google Scholar 

  • Valenčič-Zuljan, M. (2007). Students’ conceptions of knowledge, the role of the teacher and learner as important factors in a didactic school reform. Educational Studies, 1, 29–40.

    Article  Google Scholar 

  • Vosniadou, S. (2003). Exploring the relations between conceptual change and intentional learning. In G. M. Sinatra, & P. R. Pintrich (Eds.) Intentional conceptual change (pp. 377–406). Mahwah: N.J. Lawrence.

    Google Scholar 

  • Waldrip, B., Prain, V., & Carolan, J. (2006). Learning junior secondary science through multi-modal representations. Electronic Journal of Science Education, 11. Retrieved June 30, 2007 from http://ejse.southwestern.edu/volumes/v11n1/articles/art06_waldrip.pdf.

  • Williamson, V. M., & Abraham, M. R. (1995). The effects of computer animation on the particulate mental models of college chemistry students. Journal of Research in Science Teaching, 32, 521–534.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Iztok Devetak.

Appendix

Appendix

Rights and permissions

Reprints and permissions

About this article

Cite this article

Devetak, I., Vogrinc, J. & Glažar, S.A. Assessing 16-Year-Old Students’ Understanding of Aqueous Solution at Submicroscopic Level. Res Sci Educ 39, 157–179 (2009). https://doi.org/10.1007/s11165-007-9077-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11165-007-9077-2

Keywords

Navigation