The Effects of Using Particulate Diagrams on High School Students’ Conceptual Understanding of Stoichiometry

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Faridah Lausin
Jimmy Kijai


The lack of a conceptual understanding of stoichiometry among high school students is a valid concern because it impedes students’ problem-solving ability, which is a significant predictor of performance in college chemistry. In this study the effects of a visual-based pedagogical approach was investigated on the understanding of four concepts of stoichiometry among tenth-grade chemistry students at an international high school in Thailand. The approach involves the systematic use of particulate diagrams in the instruction of stoichiometry in a real classroom setting. The study further examined the attitudes of the students towards the approach. Conducted using a one-group pre-test/post-test design, data for the study were collected using a conceptual stoichiometry test and an attitude questionnaire. Analyses of the test data indicated that the approach had a significantly positive effect on the students’ conceptual understanding of stoichiometry, and they generally had a favorable attitude towards it.

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Agung, S., & Schwartz, M. (2007). Students’ understanding of conservation of matter, stoichiometry and balancing equations in Indonesia. International Journal of Science Education, 29(13), 1679–1702. doi:10.1080/09500690601089927

Bridges, C. (2015). Experiences teaching stoichiometry to students in grades 10 and 11 (Doctoral dissertation, Walden University, United States). Retrieved from cgi/viewcontent.cgi?article=1290&context=dissertations

Cheng, M., & Gilbert, J. (2014). Teaching stoichiometry with particulate diagrams – Linking macro phenomena and chemical equations. In B. Eilam, & J. Gilbert (Eds.), Science teachers’ use of visual representations (pp. 123–143). doi: 10.1007/978-3-319-06526-7_6

College Board. (2014). AP chemistry course and exam description (revised ed.). New York, NY: The College Board. Retrieved from

Dahsah, C., & Coll, R. (2007). Thai grade 10 and 11 students’ conceptual understanding and ability to solve stoichiometry problems. Research in Science & Technological Education, 25(2), 227–241. doi:10.1080/02635140701250808

Davidowitz, B. & Chittleborough, G. (2009). Linking the macroscopic and sub-microscopic levels: diagrams. In J. Gilbert & D. Treagust (Eds.), Multiple representations in chemical education (pp. 169–191). Dordrecht, Netherlands, Springer. doi: 10.1007/978-1-4020-8872-8_9

Fach, M., Boer, T., & Parchmann, I. (2007). Results of an interview study as basis for the development of stepped supporting tools for stoichiometric problems. Chemistry Education Research and Practice, 8(1), 13–31. doi:10.1039/b6rp90017h

Goldberg, D. (2015). Fundamentals of Chemistry (5th ed.). New York, NY: McGraw-Hill Education.

Jaber, L., & Boujaoude, S. (2012). A macro–micro–symbolic teaching to promote relational understanding of chemical reactions. International Journal of Science Education, 34(7), 973–998. doi: 10.1080/ 09500693.2011.569959

Johnstone, A. (2000). Teaching of chemistry – Logical or psychological? Chemistry Education Research and Practice 1(1), 9–15. doi: 10.1039/a9rp90001b

Kimberlin, S., & Yezierski, E. (2016). Effectiveness of inquiry-based lessons using particulate level models to develop high school students' understanding of conceptual stoichiometry. Journal of Chemical Education, 93(6), 1002–1009. doi:10.1021/acs.jchemed.5b01010

Pallant, J. (2011). SPSS survival manual: A step by step guide to data analysis using the SPSS program (4th ed.). Crows Nest, NSW: Allen & Unwin.

Rahayu, S., & Kita, M. (2009). An analysis of Indonesian and Japanese students’ understandings of macroscopic and submicroscopic levels of representing matter and its changes. International Journal of Science and Mathematics Education, 8(4), 667–688. doi: 10.1007/s10763-009-9180-0

Salta, K., & Tzougraki, C. (2011). Conceptual versus algorithmic problem-solving: Focusing on problems dealing with conservation of matter in chemistry. Research in Science Education, 41(4), 587–609. doi: 10.1007/s11165-010-9181-6

Sanger, M. (2000). Using particulate drawings to determine and improve students' conceptions of pure substances and mixtures. Journal of Chemical Education, 77(6), 762. doi:10.1021/ed077p762

Schmidt, H., & Jignéus, C. (2003). Students´ strategies in solving algorithmic stoichiometry problems. Chemistry Education Research and Practice, 4(3), 305–317. doi: 10.1039/b3rp90018e

Seetso, I., & Taiwo, A. (2005). An evaluation of Bostswana senior secondary school chemistry syllabus. Journal of Baltic Science Education, 2(8), 5–14. Retrieved from

Shadreck, M., & Enunuwe, O. (2018). Recurrent difficulties: Stoichiometry problem-solving. African Journal of Educational Studies in Mathematics and Sciences, 14, 25–31. Retrieved from index.php/ajesms/article/viewFile/173393/162796

Sujak, K., & Daniel, E. (2017). Understanding of macroscopic, microscopic and symbolic representations among Form Four students in solving stoichiometric problems. Malaysian Online Journal of Educational Sciences, 5(3), 83–96. Retrieved from

Sunyono; Yuanita, L., & Ibrahim, M. (2015). Mental models of students on stoichiometry concept in learning by method based on multiple representation. The Online Jouranl of New Horizons in Education, 5(2), 30–45. Retrieved from v05i02-05.pdf

Warner, R. (2013). Applied statistics: From bivariate to multivariate techniques (2nd Ed.). Los Angeles, CA: Sage Publications, Inc.

Wilbraham, A., Staley, D., Matta, M., & Waterman, E. (2017). Pearson chemistry. Boston, MA: Pearson.

Wood, C. & Breyfogle, B. (2006). Interactive demonstrations for mole ratios and limiting reagents. Journal of Chemical Education 83(5), 741−746.