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Students’ Independent Use of Screencasts and Simulations to Construct Understanding of Solubility Concepts

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Abstract

As students increasingly use online chemistry animations and simulations, it is becoming more important to understand how students independently engage with such materials and to develop a set of best practices for students’ use of these resources outside of the classroom. Most of the literature examining students’ use of animations and simulations has focused on classroom use with some studies suggesting that better outcomes are obtained when students use simulations with minimal guidance while others indicate the need for appropriate scaffolding. This study examined differences with respect to (1) student understanding of the concept of dissolution of ionic and covalent compounds in water and (2) student use of electronic resources when students were asked to complete an assignment either by manipulating a simulation on their own or by watching a screencast in which an expert manipulated the same simulation. Comparison of students’ pre- and posttest scores, answers to assignment questions, near-transfer follow-up questions, and eye-tracking analysis suggested that students who viewed the screencast gained a better understanding of the dissolving process, including interactions with water at the particulate level, particularly for covalent compounds. Additionally, the eye tracking indicated that there were significant differences in the ways that the different treatment groups (screencast or simulation) used the electronic resources.

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References

  • Adams WK (2010) Student engagement and learning with PhET interactive simulations. Il Nuovo Cimento C 33(3):21–32

    Google Scholar 

  • Adams WK, Paulson A, Wieman CE (2008) What levels of guidance promote engaged exploration with interactive simulations? AIP Conference Proceedings 1064(1):59

    Article  Google Scholar 

  • Akaygun S, Jones LL (2013) Animation or simulation: investigating the importance of interactivity for learning solubility equilibria. In: Suits JP, Sanger MJ (eds) Pedagogic roles of animations and simulations in chemistry courses, vol 1142, pp 127–159

    Chapter  Google Scholar 

  • Akaygun S, Jones LL (2014) Words or pictures: a comparison of written and pictorial explanations of physical and chemical equilibria. Int J Sci Educ 36(5):783–807

    Article  Google Scholar 

  • Azevedo R (2005) Using hypermedia as a metacognitive tool for enhancing student learning? The role of self-regulated learning. Educ Psychol 40(4):199–209

  • Barke H-D, Hazari A, Yitbarek S (2009) Misconceptions in chemistry: addressing perceptions in chemical education. Springer, Berlin

    Google Scholar 

  • Boucheix J-M, Lowe RK (2010) An eye tracking comparison of external pointing cues and internal continuous cues in learning with complex animations. Learn Instr 20(2):123–135

    Article  Google Scholar 

  • Brown PC, Roediger HL, McDaniel MA (2014) Make it stick: the science of successful learning. Belknap Press of Harvard University Press, Cambridge, MA

    Book  Google Scholar 

  • Burke KA, Greenbowe TJ, Windschitl MA (1998) Developing and using conceptual computer animations for chemistry instruction. J Chem Educ 75(12):1658–1661

    Article  Google Scholar 

  • Butts B, Smith R (1987) HSC chemistry students’ understanding of the structure and properties of molecular and ionic compounds. Res Sci Educ 17(1):192–201

    Article  Google Scholar 

  • Callender AA, McDaniel MA (2009) The limited benefits of rereading educational texts. Contemp Educ Psychol 34(1):30–41

    Article  Google Scholar 

  • Canham M, Hegarty M (2010) Effects of knowledge and display design on comprehension of complex graphics. Learn Instr 20(2):155–166

  • Chittleborough GD, Mocerino M, Treagust DF (2007) Achieving greater feedback and flexibility using online pre-laboratory exercises with non-major chemistry students. J Chem Educ 84(5):884–888

    Article  Google Scholar 

  • Chiu JL, Linn MC (2012) The role of self-monitoring in learning chemistry with dynamic visualizations. In: Zohar A, Dori YJ (eds) Metacognition in science education, vol 40, pp. 133–163

  • Chiu JL, Linn MC (2014) Supporting knowledge integration in chemistry with a visualization-enhanced inquiry unit. J Sci Educ Technol 23(1):37–58

  • Chuang H-H, Liu H-C (2012) Effects of different multimedia presentations on viewers’ information-processing activities measured by eye-tracking technology. J Sci Educ Technol 21(2):276–286

    Article  Google Scholar 

  • de Koning BB, Tabbers HK, Rikers RM, Paas F (2010) Attention guidance in learning from a complex animation: seeing is understanding? Learn Instr 20(2):111–122

    Article  Google Scholar 

  • Ebenezer JV, Erickson GL (1996) Chemistry students’ conceptions of solubility: a phenomenography. Sci Educ 80(2):181–201

    Article  Google Scholar 

  • Gabel DL, Samuel KV, Hunn D (1987) Understanding the particulate nature of matter. J Chem Educ 64(8):695–697

    Article  Google Scholar 

  • Goldberg JH, Kotval XP (1999) Computer interface evaluation using eye movements: methods and constructs. Int J Ind Ergon 24(6):631–645

    Article  Google Scholar 

  • Grant MR, Thornton HR (2007) Best practices in undergraduate adult-centered online learning: mechanisms for course design and delivery. MERLOT J Online Learn Teach 3(4):346–356

    Google Scholar 

  • Gustafson B, Mahaffy P, Martin B (2015) Guiding age 10-11 students to notice the salient features of physical change models in chemistry digital learning objects. J Comp Math Sci Teach 34(1):5–39

  • Havanki KL, VandenPlas JR (2014) Eye tracking methodology for chemistry education research. In: Bunce DM, Cole RS (eds) Tools of chemistry education research. American Chemical Society, Washington, DC, pp 191–218

    Google Scholar 

  • Holmqvist K, Nyström M, Andersson R, Dewhurst R, Jarodzka H, Van de Weijer J (2011) Eye tracking: a comprehensive guide to methods and measures. Oxford University Press, Oxford

    Google Scholar 

  • Hyönä J (2010) The use of eye movements in the study of multimedia learning. Learn Instr 20(2):172–176

    Article  Google Scholar 

  • IBM Corp (2013) IBM SPSS statistics for Windows (version 23.0). IBM Corp, Armonk, NY

    Google Scholar 

  • Johnstone AH (1982) Macro- and micro-chemistry. Sch Sci Rev 64:377–379

    Google Scholar 

  • Jones LL, Jordan KD, Stillings NA (2005) Molecular visualization in chemistry education: the role of multidisciplinary collaboration. Chemistry Education Research and Practice 6:136–149

    Article  Google Scholar 

  • Jong TD, Van Joolingen WR (1998) Scientific discovery learning with computer simulations of conceptual domains. Rev Educ Res 68(2):179–201

    Article  Google Scholar 

  • Just MA, Carpenter PA (1980) A theory of reading: from eye fixations to comprehension. Psychol Rev 87(4):329–354

    Article  Google Scholar 

  • Keehner M, Hegarty M, Cohen C, Khooshabeh P, Montello DR (2008) Spatial reasoning with external visualizations: what matters is what you see, not whether you interact. Cogn Sci 32:1099–1132

    Article  Google Scholar 

  • Keengwe J, Kidd TT (2010) Towards best practices in online learning and teaching in higher education. Journal of Online Learning and Teaching 6(2):533–541

    Google Scholar 

  • Kelly RM (2014) Using variation theory with metacognitive monitoring to develop insights into how students learn from molecular visualizations. J Chem Educ 91(8):1152–1161

    Article  Google Scholar 

  • Kelly RM, Jones LL (2007) Exploring how different features of animations of sodium chloride dissolution affect students’ explanations. J Sci Educ Technol 16(5):413–429

    Article  Google Scholar 

  • Kozma RB, Russell JW, Jones T, Wykoff J, Marx N, Davis J (1997) Use of simultaneous-synchronized macroscopic, microscopic, and symbolic representations to enhance the teaching and learning of chemical concepts. J Chem Educ 74(3):330–334

    Article  Google Scholar 

  • Lancaster K, Moore EB, Parson R, Perkins KK (2013) Insights from using PhET’ s design principles for interactive chemistry simulations. In: Suits J, Sanger MJ (eds) Pedagogic roles of animations and simulations in chemistry courses. American Chemical Society, Washington, D.C., pp 97–126

    Chapter  Google Scholar 

  • Liu H-C, Andre T, Greenbowe T, Liu H-C, Andre T, Greenbowe T (2008) The impact of learner’s prior knowledge on their use of chemistry computer simulations: a case study. J Sci Educ Technol 17(5):466–482

    Article  Google Scholar 

  • Liu X, Lesniak K (2006) Progression in children’s understanding of the matter concept from elementary to high school. J Res Sci Teach 43(3):320–347

    Article  Google Scholar 

  • Marx JD, Cummings K (2007) Normalized change. Am J Phys 75(1):87–91

    Article  Google Scholar 

  • Mayer RE, Anderson RB (1991) Animations need narrations: an experimental test of a dual-coding hypothesis. J Educ Psychol 83(4):484–490

    Article  Google Scholar 

  • Mayer RE, Anderson RB (1992) The instructive animation: helping students build connections between words and pictures in multimedia learning. J Educ Psychol 84(4):444–452

    Article  Google Scholar 

  • Mayer RE, Moreno R (1998) A split-attention effect in multimedia learning: evidence for dual processing systems in working memory. J Educ Psychol 90(2):312–320

    Article  Google Scholar 

  • Mayer RE, Sims VK (1994) For whom is a picture worth a thousand words? Extensions of a dual-coding theory of multimedia learning. J Educ Psychol 86(3):389–401

    Article  Google Scholar 

  • Miles MB, Huberman AM (1994) Qualitative data analysis: an expanded sourcebook, 2nd edn. Sage Publications, Thousand Oaks, CA

    Google Scholar 

  • Naah BM, Sanger MJ (2012) Student misconceptions in writing balanced equations for dissolving ionic compounds in water. Chemistry Education Research and Practice 13(3):186–194

    Article  Google Scholar 

  • Naah BM, Sanger MJ (2013) Investigating students’ understanding of the dissolving process. J Sci Educ Technol 22(2):103–112

    Article  Google Scholar 

  • Nurrenbern SC, Pickering M (1987) Concept learning versus problem solving: is there a difference? J Chem Educ 64(6):508–510

    Article  Google Scholar 

  • Özmen H, Demircioğlu H, Demircioğlu G (2009) The effects of conceptual change texts accompanied with animations on overcoming 11th grade students’ alternative conceptions of chemical bonding. Comput Educ 52(3):681–695

    Article  Google Scholar 

  • Paivio A (1991) Dual coding theory: retrospect and current status. Canadian Journal of Psychology/Revue canadienne de psychologie 45(3):255–287

    Article  Google Scholar 

  • PhET Interactive Simulations. (2016). Sugar and salt solutions PhET simulation. Retrieved from http://phet.colorado.edu/en/simulation/sugar-and-salt-solutions

  • PHET Screencast Solubility of Ionic Compounds. (2015) Retrieved from https://www.youtube.com/watch?v=zLi6HEQQmlc&list=UUOZh27juAL15wrp935jUMkw

  • Robinson WR (2000) A view of the science education research literature: scientific discovery learning with computer simulations. J Chem Educ 77(1):17–18

    Article  Google Scholar 

  • Rutten N, van Joolingen WR, van der Veen JT (2012) The learning effects of computer simulations in science education. Comput Educ 58:136–158

    Article  Google Scholar 

  • Sanger MJ (2005) Evaluating students’ conceptual understanding of balanced equations and stoichiometric ratios using a particulate drawing. J Chem Educ 82(1):131–134

    Article  Google Scholar 

  • Sanger MJ, Badger SM (2001) Using computer-based visualization strategies to improve students’ understanding of molecular polarity and miscibility. J Chem Educ 78(10):1412–1416

    Article  Google Scholar 

  • Sanger MJ, Brecheisen DM, Hynek BM (2001) Can computer animations affect college biology students’ conceptions about diffusion & osmosis? Am Biol Teach 63(2):104–109

    Article  Google Scholar 

  • Sanger, M. J., & Greenbowe, T., J. (2000). Addressing student misconceptions concerning electron flow in aqueous solutions with instruction including computer animations and conceptual change strategies. Int J Sci Educ, 22(5), 521–537.

  • Schmidt-Weigand F, Kohnert A, Glowalla U (2010) A closer look at split visual attention in system-and self-paced instruction in multimedia learning. Learn Instr 20(2):100–110

    Article  Google Scholar 

  • Schwartz RA, Milne C, Homer BD, Plass JL (2013) Designing and implementing effective animations and simulations for chemistry learning. In: Suits J, Sanger MJ (eds) Pedagogic roles of animations and simulations in chemistry courses. American Chemical Society, Washington, DC, pp 43–76

    Chapter  Google Scholar 

  • Smith KC, Nakhleh MB (2011) University students’ conceptions of bonding in melting and dissolving phenomena. Chemistry Education Research and Practice 12(4):398–408

    Article  Google Scholar 

  • Smith KJ, Metz PA (1996) Evaluating student understanding of solution chemistry through microscopic representations. J Chem Educ 73(3):233–235

    Article  Google Scholar 

  • Stieff M, Hegarty M, Deslongchamps G (2011) Identifying representational competence with multi-representational displays. Cogn Instr 29(1):123–145

    Article  Google Scholar 

  • Strauss A, Corbin J (1990) Basics of qualitative research: grounded theory procedures and techniques. Sage Publications, Newbury Park, CA

    Google Scholar 

  • Taber KS (2013) Revisiting the chemistry triplet: drawing upon the nature of chemical knowledge and the psychology of learning to inform chemistry education. Chemistry Education Research and Practice 14:156–168

    Article  Google Scholar 

  • Talanquer V (2011) Macro, submicro, and symbolic: the many faces of the chemistry “triplet”. Int J Sci Educ 33(2):179–195

    Article  Google Scholar 

  • Tang H, Day E, Kendhammer L, Moore JN, Brown SA, Pienta NJ (2016) Eye movement patterns in solving science ordering problems. J Eye Mov Res 9(3):1–13

    Google Scholar 

  • Tien LT, Teichert MA, Rickey D (2007) Effectiveness of a MORE laboratory module in prompting students to revise their molecular-level ideas about solutions. J Chem Educ 84(1):175–181

    Article  Google Scholar 

  • Tobii Technology. (2016). Tobii Studio user’s manual (Vol. 3.4.5): Tobii AB.

  • von Glasersfeld E (1993) Questions and answers about radical constructivism. In: Tobin K (ed) The practice of constructivism in science education. Lawrence Erlbaum Associates, Hillsdale, NJ, pp 22–38

    Google Scholar 

  • Wiggins GP, McTighe J (2005) Understanding by design, Expanded 2nd edn. Association for Supervision and Curriculum Development, Alexandria, VA

    Google Scholar 

  • Williamson VM (2014) Teaching chemistry conceptually. In: Devetak I, Glažar SA (eds) Learning with understanding in the chemistry classroom, vol 1. Springer Netherlands, Dordrecht, pp 103–208

    Google Scholar 

  • Williamson VM, Abraham MR (1995) The effects of computer animation on the particulate mental models of college chemistry students. J Res Sci Teach 32(5):521–534

    Article  Google Scholar 

  • Wu HK, Krajcik JS, Soloway E (2001) Promoting understanding of chemical representations: students’ use of a visualization tool in the classroom. J Res Sci Teach 38(7):821–842

    Article  Google Scholar 

  • Yezierski EJ, Birk JP (2006) Misconceptions about the particulate nature of matter. Using animations to close the gender gap. J Chem Educ 83(6):954. doi:10.1021/ed083p954

    Article  Google Scholar 

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Acknowledgements

The authors would like to recognize contributions to this work by Dena Warren, Karli Gormley, Marissa Biesbrock, Kristina Pacelli, Stephanie Lerchenfelt, and Treyce Sanderson. Ryan Sweeder would also like to thank the Lyman Briggs Trajectory Fund for financial support for this work.

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Authors and Affiliations

  1. Grand Valley State University, Allendale, MI, 49401, USA

    Deborah G. Herrington & Jessica R. VandenPlas

  2. Lyman Briggs College, Michigan State University, East Lansing, MI, 48825, USA

    Ryan D. Sweeder

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  1. Deborah G. Herrington
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  3. Jessica R. VandenPlas
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Correspondence to Deborah G. Herrington.

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This study has been approved as exempt by the GVSU and MSU Institutional Review Boards: Exempt Reference no. GVSU: 15-079-H and 16-012-H; MSU: x15-775e.

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

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Herrington, D.G., Sweeder, R.D. & VandenPlas, J.R. Students’ Independent Use of Screencasts and Simulations to Construct Understanding of Solubility Concepts. J Sci Educ Technol 26, 359–371 (2017). https://doi.org/10.1007/s10956-017-9684-2

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