Skip to main content

Advertisement

Log in

Teacher guidance to mediate student inquiry through interactive dynamic visualizations

  • Published:
Instructional Science Aims and scope Submit manuscript

Abstract

The purpose of this study is to investigate how three teachers guided their students to learn science using interactive dynamic visualizations incorporated in an inquiry digital unit. The results show that the teachers’ guidance varied in frequency, occasion, and content type. Each teacher demonstrated a different instructional approach in terms of the two dimensions of facilitating versus informing, and responsive, norm-revealing inquiry guidance versus planned, meaning-defining inquiry guidance. The study illustrates the range of inquiry instruction supporting learning with interactive dynamic visualizations. Moreover, the teacher effect was significant on the students’ learning outcomes when instructional time and the students’ pre-test scores were controlled using a multiple regression model. Effective teaching strategies that augment students’ integrated understanding of science phenomena through interactive dynamic visualizations are discussed based on the association between teaching effects and learning outcomes.

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.

Institutional subscriptions

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

Similar content being viewed by others

References

  • Adams, W. K., Paulson, A., & Wieman, C. E. (2009). What levels of guidance promote engaged exploration with interactive simulations? In H. Charles, S. Mel & H. Leon (Eds.), 2008 Physics Education Research Conference. AIP Conference Proceedings (Vol. 1064, pp. 59-62). Edmonton, Alberta: AIP Press.

  • Akerson, V. L., & Hanuscin, D. (2003). Primary teachers’ abilities to teach via scientific inquiry while making elements of nature of science explicit. Philadelphia: Paper presented at the Annual Meeting of the National Association for Research in Science Teaching.

    Google Scholar 

  • Alberts, B. (2000). Some thoughts of a scientist on inquiry. In J. Millstrell & E. van Zee (Eds.), Inquiring into inquiry learning and teaching in science (pp. 3–13). Washington, DC: American Association for the Advancement of Science.

    Google Scholar 

  • American Association for the Advancement of Science. (1993). Benchmarks for science literacy. New York: Oxford University Press, Inc.

    Google Scholar 

  • Anderson, L. W. (2004). Increasing teacher effectiveness (2nd ed.). Paris: UNESCO, IIEP.

    Google Scholar 

  • Betrancourt, M. (2005). The animation and interactivity principles in multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 287–296). New York: Cambridge University Press.

    Chapter  Google Scholar 

  • Blanchard, M. R., Southerland, S. A., Osborne, J. W., Sampson, V. D., Annetta, L. A., & Granger, E. M. (2010). Is inquiry possible in light of accountability?: a quantitative comparison of the relative effectiveness of guided inquiry and verification laboratory instruction. Science Education, 94(4), 577–616.

    Article  Google Scholar 

  • Buckley, B. C., Gobert, J. D., Kindfield, A. C. H., Horwitz, P., Tinker, R. F., Gerlits, B., et al. (2004). Model-based teaching and learning with BioLogica: what do they learn? How do they learn? How do we know? Journal of Science Education and Technology, 13(1), 23–41.

    Article  Google Scholar 

  • Chang, H.-Y. (2009). Use of critique to enhance learning with an interactive molecular visualization of thermal conductivity. In M. C. Linn (Ed.), Critique to learn science. Symposium conducted at the Annual Meeting of National Association for Research in Science Teaching (NARST), Garden Grove, CA, USA.

  • Chang, H.-Y., & Linn, M. C. (2010). Transition to inquiry: Instructional practice of inquiry-based online science curricula in Taiwan. Paper presented at the Sixth International Conference on Science, Mathematics and Technology Education, Hualien, Taiwan.

  • Chang, H.-Y., Quintana, C., & Krajcik, J. S. (2010). The impact of designing and evaluating molecular animations on how well middle school students understand the particulate nature of matter. Science Education, 94(1), 73–94.

    Google Scholar 

  • Chen, J.-Y., & Chang, H.-P. (2008). A case study of investigating a chemistry teacher’ practice and reflection on implementing inquiry teaching: An activity of the volcanic eruption. Journal of National Taiwan Normal University: Science Education, 53(2), 91–123. Article was written in Chinese.

    Google Scholar 

  • Clark, D. B. (2006). Longitudinal conceptual change in students’ understanding of thermal equilibrium: an examination of the process of conceptual restructuring. Cognition and Instruction, 24(4), 467–563.

    Article  Google Scholar 

  • Clark, D. B., & Sampson, V. (2007). Personally-seeded discussions to scaffold online argumentation. International Journal of Science Education, 29(3), 253–277.

    Article  Google Scholar 

  • Clark, D. B., & Sampson, V. (2008). Assessing dialogic argumentation in online environments to relate structure, grounds, and conceptual quality. Journal of Research in Science Teaching, 45(3), 293–321.

    Article  Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale: Lawrence Erlbaum Associates.

    Google Scholar 

  • Crawford, B. A. (2000). Embracing the essence of inquiry: new roles for science teachers. Journal of Research in Science Teaching, 37(9), 916–937.

    Article  Google Scholar 

  • de Jong, T., & van Joolingen, W. R. (1998). Scientific discovery learning with computer simulations of conceptual domains. Review of Educational Research, 68(2), 179–201.

    Article  Google Scholar 

  • Edelson, D. C., Gordin, D. N., & Pea, R. D. (1999). Addressing the challenges of inquiry-based learning through technology and curriculum design. The Journal of the Learning Sciences, 8(3&4), 391–450.

    Google Scholar 

  • Fogleman, J., McNeill, K. L., & Krajcik, J. (2011). Examining the effect of teacher’s adaptations of a middle school science inquiry-oriented curriculum unit on student learning. Journal of Research in Science Teaching, 48(2), 149–169.

    Article  Google Scholar 

  • Furtak, E. M. (2006). The problem with answers: an exploration of guided scientific inquiry teaching. Science Education, 90(3), 453–467.

    Article  Google Scholar 

  • Gerard, L. F., Spitulinik, M., & Linn, M. C. (2010). Teacher use of evidence to customize inquiry science instruction. Journal of Research in Science Teaching, 47(9), 1037–1063.

    Article  Google Scholar 

  • Gilbert, J. K. (2008). Visualization: An emergent field of practice and enquiry in science education. In J. K. Gilbert (Ed.), Visualization: Theory and practice in science education (pp. 3–24). Dordrecht: Springer.

    Chapter  Google Scholar 

  • Gyllenpalm, J., & Wickman, P.-O. (2011). The uses of the term hypothesis and the inquiry emphasis conflation in science teacher education. International Journal of Science Education, 33(14), 1993–2015.

    Article  Google Scholar 

  • Gyllenpalm, J., Wickman, P.-O., & Holmgren, S.-O. (2010a). Secondary science teachers’ selective traditions and examples of inquiry-oriented approaches. Nordic Studies in Science Education, 6(1), 44–60.

    Google Scholar 

  • Gyllenpalm, J., Wickman, P.-O., & Holmgren, S.-O. (2010b). Teachers’ language on science inquiry: methods of teaching or methods of inquiry? International Journal of Science Education, 32(9), 1151–1172.

    Article  Google Scholar 

  • Hegarty, M. (2004). Dynamic visualizations and learning: getting to the difficult questions. Learning and Instruction, 14, 343–351.

    Article  Google Scholar 

  • Hegarty, M. (2005). Multimedia learning about physical systems. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 447–465). New York: Cambridge University Press.

    Chapter  Google Scholar 

  • Higgins, T. E., & Spitulinik, M. W. (2008). Supporting teachers’ use of technology in science instruction through professional development : a literature review. Journal of Science Education and Technology, 17(5), 511–521.

    Article  Google Scholar 

  • Hoffler, T. N., & Leutner, D. (2007). Instructional animation versus static pictures: a meta-analysis. Learning and Instruction, 17(6), 722–738.

    Article  Google Scholar 

  • Johnson, B., & Christensen, L. (2008). Educational research: Quantitative, qualitative, and mixed approaches. Los Angeles: Sage Publications.

    Google Scholar 

  • Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: a research paradigm whose time has come. Educational Researcher, 33(7), 14–26.

    Article  Google Scholar 

  • Kim, M. C., & Hannafin, M. J. (2011). Scaffolding 6th graders’ problem solving in technology-enhanced science classrooms: a qualitative case study. Instructional Science, 39(3), 255–282.

    Article  Google Scholar 

  • Krajcik, J., Marx, R., Blumenfeld, P., & Soloway, E., & Fishman, B. (2000). Inquiry based science supported by technology: Achievement among urban middle school students.

  • Lederman, N. G. (1999). Teachers’ understanding of the nature of science and classroom practice: factors that facilitate or impede the relationship. Journal of Research in Science Teaching, 36(8), 916–929.

    Article  Google Scholar 

  • Lederman, N. G. (2006). Syntax of nature of science within inquiry and science instruction. In L. B. Flick & N. G. Lederman (Eds.), Scientific inquiry and nature of science (pp. 301–317). The Netherlands: Springer.

    Google Scholar 

  • Lee, H.-S., Linn, M. C., Varma, K., & Liu, O. L. (2010). How do technology-enhanced inquiry science units impact classroom learning? Journal of Research in Science Teaching, 47(1), 71–90.

    Article  Google Scholar 

  • Lee, H.-S., & Liu, O. L. (2010). Assessing learning progression of energy concepts across middle school grades: the knowledge integration perspective. Science Education, 94(4), 665–688.

    Article  Google Scholar 

  • Lee, H.-S., Liu, O. L., & Linn, M. C. (2011). Validating measurement of knowledge integration in science using multiple-choice and explanation items. Applied Measurement in Education, 24(2), 115–136.

    Article  Google Scholar 

  • Linn, M. C. (2006). The knowledge integration perspective on learning and instruction. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 243–264). New York: Cambridge University Press.

    Google Scholar 

  • Linn, M. C., & Eylon, B. S. (2011). Science learning and instruction: Taking advantage of technology to promote knowledge integration. New York: Routledge.

    Google Scholar 

  • Liu, O. L., Lee, H.-S., & Linn, M. C. (2010). An investigation of teacher impact on student inquiry science performance using a hierarchical linear model. Journal of Research in Science Teaching, 47(7), 807–819.

    Article  Google Scholar 

  • Lowe, R. (2003). Animation and learning: selective processing of information in dynamic graphics. Learning and Instruction, 13(2), 157–176.

    Article  Google Scholar 

  • Mayer, R. E. (2005). The Cambridge handbook of multimedia learning. New York: Cambridge University Press.

    Book  Google Scholar 

  • McDonald, S., & Songer, N. B. (2008). Enacting classroom inquiry: theorizing teachers’ conceptions of science teaching. Science Education, 92(6), 973–993.

    Article  Google Scholar 

  • McElhaney, K.W., & Linn, M.C., (2008) Impacts of students’ experimentation using a dynamic visualization on their understanding of motion. International Perspectives in the Learning Sciences: Cre8ting a Learning World. Proceedings of the 8th International Conference of the Learning Sciences, 2, 51–58.

  • McNeill, K. L., & Pimentel, D. S. (2010). Scientific discourse in three urban classrooms: the role of the teacher in engaging high school students in argumentation. Science Education, 94(2), 203–229.

    Google Scholar 

  • Ministry of Education, Taiwan. (2008). The outline for the nine-year integrated curriculum. Taipei: Ministry of Education, Taiwan.

    Google Scholar 

  • National Research Council. (1996). National science education standards. Washington, D.C.: National Academy.

    Google Scholar 

  • National Research Council. (2000). Inquiry and the national science education standards. Washington, D.C.: National Academy.

    Google Scholar 

  • National Research Council. (2007). Taking science to school: Learning and teaching science in grades K-8. Washington, D.C.: National Academy.

    Google Scholar 

  • Oh, P. S. (2010). How can teachers help students formulate scientific hypotheses? Some strategies found in abductive inquiry activities of earth science. International Journal of Science Education, 32(4), 541–560.

    Article  Google Scholar 

  • Organisation for Economic Cooperation and Development. (2007). PISA 2006: Science competencies for tomorrow’s world. MA: OECD.

    Google Scholar 

  • Parnafes, O. (2007). What does “fast” mean? Understanding the physical world through computational representations. The Journal of the Learning Sciences, 16(3), 415–450.

    Article  Google Scholar 

  • Polman, J. L., & Pea, R. D. (2001). Transformative communication as a cultural tool for guiding inquiry science. Science Education, 85(3), 223–238.

    Article  Google Scholar 

  • Rice, J. K. (2003). Teacher quality: Understanding the effectiveness of teacher attributes. Washington, D.C.: Economic Policy Institute.

    Google Scholar 

  • Rotbain, Y., Marbach-Ad, G., & Stavy, R. (2006). Effect of bead and illustrations models on high school students’ achievement in molecular genetics. Journal of Research in Science Teaching, 43(5), 500–529.

    Article  Google Scholar 

  • Scheiter, K., Gerjets, P., Huk, T., Imhof, B., & Kammerer, Y. (2009). The effects of realism in learning with dynamic visualizations. Learning and Instruction, 19(6), 481–494.

    Article  Google Scholar 

  • Schwartz, D. L., & Bransford, J. D. (1998). A time for telling. Cognition and Instruction, 16(4), 475–522.

    Article  Google Scholar 

  • Schwarz, C. V., & White, B. Y. (2005). Metamodeling knowledge: developing students’ understanding of scientific modeling. Cognition and Instruction, 23(2), 165–205.

    Article  Google Scholar 

  • Shanahan, M. C., & Nieswandt, M. (2011). Science student role: evidence of social structural norms specific to school science. Journal of Research in Science Teaching, 48(4), 367–395.

    Article  Google Scholar 

  • Shen, J., & Linn, M. C. (2011). A technology-enhanced unit of modeling static electricity: integrating scientific explanations and everyday observations. International Journal of Science Education, 33(12), 1597–1623.

    Article  Google Scholar 

  • Sins, P. H. M., Savelsbergh, E. R., van Joolingen, W. R., & van Hout-Wolters, B. H. A. M. (2009). The relation between students’ epistemological understanding of computer models and their cognitive processing on a modelling task. International Journal of Science Education, 31(9), 1205–1229.

    Article  Google Scholar 

  • Sisk-Hilton, S. (2009). Teaching and learning in public: Professional development through shared inquiry. New York: Teachers College Press.

    Google Scholar 

  • Slotta, J. D. (2004). The web-based inquiry science environment (WISE): Scaffolding knowledge integration in the science classroom. In M. C. Linn, P. Bell, & E. Davis (Eds.), Internet environments for science education (pp. 203–232). Mahwah: Lawrence Erlbaum Associates.

    Google Scholar 

  • Slotta, J. D., & Linn, M. C. (2009). WISE science: Web-based inquiry in the classroom. New York: Teachers College Press.

    Google Scholar 

  • Songer, N. B., Lee, H.-S., & McDonald, S. (2003). Research towards an expanded understanding of inquiry science beyond one idealized standard. Science Education, 87(4), 490–516.

    Article  Google Scholar 

  • Tang, X., Coffey, J. E., Elby, A., & Levin, D. M. (2010). The scientific method and scientific inquiry: tensions in teaching and learning. Science Education, 94(1), 29–47.

    Google Scholar 

  • Tversky, B., Morrison, J. B., & Betrancourt, M. (2002). Animation: can it facilitate? International Journal of Human-Computer Studies, 57, 247–262.

    Article  Google Scholar 

  • Urhahne, D., Schanze, S., Bell, T., Mansfield, A., & Holmes, J. (2010). Role of the teacher in computer-supported collaborative inquiry learning. International Journal of Science Education, 32(2), 221–243.

    Article  Google Scholar 

  • van Berkum, J. J. A., & de Jong, T. (1991). Instructional environments for simulations. Education & computing, 6, 305–358.

    Article  Google Scholar 

  • Veermans, K., van Joolingen, W., & de Jong, T. (2006). Use of heuristics to facilitate scientific discovery learning in a simulation learning environment in a physics domain. International Journal of Science Education, 28(4), 341–361.

    Article  Google Scholar 

  • White, B. Y., & Frederiksen, J. R. (1998). Inquiry, modeling, and metacognition: making science accessible to all students. Cognition and Instruction, 16(1), 3–118.

    Article  Google Scholar 

  • White, B. Y., & Frederiksen, J. R. (2000). Technological tools and instructional approaches for making scientific inquiry accessible to all. In M. J. Jacobson & R. B. Kozma (Eds.), Innovations in science and mathematics education: Advanced designs for technologies of learning (pp. 321–359). Mahwah: Lawrence Erlbaum Associates.

    Google Scholar 

  • Williams, M. (2008). Moving technology to the center of instruction: how one experienced teacher incorporates a web-based environment over time. Journal of Science Education and Technology, 17(4), 316–333.

    Article  Google Scholar 

  • Williams, M., & Linn, M. C. (2002). WISE inquiry in fifth grade biology. Research in Science Education, 32(4), 415–436.

    Article  Google Scholar 

  • Windschitl, M. (2002). Inquiry projects in science teacher education: what can investigative experiences reveal about teacher thinking and eventual classroom practice? Science Education, 87(1), 112–143.

    Article  Google Scholar 

  • Windschitl, M. (2004). Folk theories of “inquiry:” How preservice teachers reproduce the discourse and practices of an atheoretical scientific method. Journal of Research in Science Teaching, 41(5), 481–512.

    Article  Google Scholar 

  • Windschitl, M., Thompson, J., & Braaten, M. (2008). Beyond the scientific method: model-based inquiry as a new paradigm of preference for school science investigations. Science Education, 92(5), 941–967.

    Article  Google Scholar 

  • Xie, Q., & Tinker, R. (2006). Molecular dynamics simulations of chemical reactions for use in education. Journal of Chemical Education, 83(1), 77.

    Article  Google Scholar 

  • Zacharia, Z. C., Olympiou, G., & Papaevripidou, M. (2008). Effects of experimenting with physical and virtual manipulatives on students’ conceptual understanding in heat and temperature. Journal of Research in Science Teaching, 45(9), 1021–1035.

    Article  Google Scholar 

  • Zhang, Z., & Linn, M. C. (2011). Can generating representations enhance learning with dynamic visualizations? Journal of Research in Science Teaching, 48(10), 1177–1198.

    Article  Google Scholar 

Download references

Acknowledgments

This material is based on work supported by the National Science Council, Taiwan under Grant No. NSC99-2628-S-017-001-MY2. The author thanks Professor Marcia Linn for her comments on an early version of the manuscript. The author also thank Wen-Jeng Huang and Fang-Chin Yeh, who helped with the data management, transcription, and analysis.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hsin-Yi Chang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chang, HY. Teacher guidance to mediate student inquiry through interactive dynamic visualizations. Instr Sci 41, 895–920 (2013). https://doi.org/10.1007/s11251-012-9257-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11251-012-9257-y

Keywords

Navigation