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The Efficacy of an Image-to-Writing Approach to Learning Abstract Scientific Concepts: Temperature and Heat

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Abstract

Temperature and heat are difficult concepts for children to grasp due to their abstractness. An image-to-writing approach, guided by the visualisation practices of scientists, was designed to engage elementary students with constructing images to represent their ideas about phenomena and translating these images into text using scientific terminologies. Taking a quasi-experimental approach, the experimental group students received inquiry-based instruction based on the image-to-writing approach, while the control group students received a mix of direct instruction and inquiry activities without explicit focus on multimodal representations. An instrument consisting of four free response questions was developed and administered to 129 primary 4 students (aged 9–10) before (pre-test) and after (post-test) instruction to determine their conceptual understanding and representational competences. ANCOVA showed that students in the experimental group perform significantly better than those in the control group in their conceptual understanding. Further analysis revealed that a larger percentage of students in the experimental group demonstrated higher levels of conceptual understanding after instruction, compared to the control group for more complex phenomena, even though both groups showed similar levels of representational competences. The findings suggest that an image-to-writing approach can help students develop deeper conceptual understanding as well as use representations to demonstrate their conceptual understanding. The use of images could have helped students in their thinking and learning of complex phenomena, which allowed them to better convey their understanding of the concepts.

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References

  • Ainsworth, S., Prain, V., & Tytler, R. (2011). Drawing to learn in science. Science, 333(6046), 2096–1097.

    Article  Google Scholar 

  • Bakirci, H., & Ensari, O. (2018). The effect of common knowledge construction model on academic achievement and conceptual understandings of high school students on heat and temperature. Education and Science, 43(196), 171–188.

    Google Scholar 

  • Botzer G., & Reiner, M. (2005). Imagery in physics learning—From physicists’ practice to naive students’ understanding. In: Gilbert J.K. (eds) Visualization in science education. Models and modeling in science education, (Vol. 1, pp. 147-168). Dordrecht: Springer.

  • Campbell, T., Zhang, D., & Neilson, D. (2011). Model based inquiry in the high school physics classroom: An exploratory study of implementation and outcomes. Journal of Science Education and Technology, 20(3), 258–269.

    Article  Google Scholar 

  • Chang, H. Y., & Linn, M. C. (2013). Scaffolding learning from molecular visualisations. Journal of Research in Science Teaching, 50(7), 858–886.

    Article  Google Scholar 

  • Clement, J. J. (2008). The role of explanatory models in teaching for conceptual change. In S. Vosniadou (Ed.), International handbook of research on conceptual change (pp. 417–452). New York/London: Routledge.

    Google Scholar 

  • Cox, R. (1999). Representation, construction, externalised cognition and individual differences. Learning & Instruction, 9(4), 343–363.

    Article  Google Scholar 

  • diSesa, A. A. (2004). Metarepresentation: Native competence and targets for instruction. Cognition and Instruction, 22(3), 293–331.

    Article  Google Scholar 

  • Duit, R., & Treagust, D. F. (1995). Students’ conceptions and constructivist teaching approaches. In B. J. Fraser & H. J. Walberg (Eds.), Improving science education (pp. 46–49). Chicago: The National Society for the Study of Education.

    Google Scholar 

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

    Chapter  Google Scholar 

  • Gilbert, J. K., & Justi, R. (2016). Modelling-based teaching in science education. Switzerland: Springer Nature.

    Book  Google Scholar 

  • Gooding, D. C. (2004). Envisioning explanations—the art in science. Interdisciplinary Science Reviews, 29(3), 278–294.

    Article  Google Scholar 

  • Greeno, J. G., & Hall, R. P. (1997). Practicing representation: Learning with and about representational forms. Phi Delta Kappan, 78(5), 361–367.

    Google Scholar 

  • Hansen, J. A., Barnett, M., MaKinster, J. G., & Keating, T. (2004). The impact of three-dimensional computational modeling on student understanding of astronomy concepts: A qualitative analysis. International Journal of Science Education, 26(13), 1555–1575.

    Article  Google Scholar 

  • Herrmann-Abell, C. F., & DeBoer, G. E. (2017). Investigating a learning progression for energy ideas from upper elementary through high school. Journal of Research in Science Teaching, 55(1), 68–93.

    Article  Google Scholar 

  • Hewson, P. W. (1981). A conceptual change approach to learning science. European Journal of Science Teaching, 31, 933–946.

    Google Scholar 

  • Hitt, A. M., & Townsend, J. S. (2015). The heat is on! Using particle models to change students’ conceptions of heat and temperature. Science Activities, 52, 45–52.

    Google Scholar 

  • Kozma, R., & Russell, J. (2005). Students becoming chemists: Developing representational competence. In J. K. Gilbert (Ed.), Visualization in science education (pp. 121–145). Dordrecht: Springer.

  • Kozma, R., Chin, E., Russell, J., & Marx, N. (2000). The roles of representations and tools in the chemistry laboratory and their implications for chemistry learning. The Journal of the Learning Sciences, 9(2), 105–143.

    Article  Google Scholar 

  • Kress, G., Jewitt, C., Ogborn, J., & Tsatsarellis, C. (2001). Multimodal teaching and learning: The rhetorics of the science classroom. London: Continuum.

    Google Scholar 

  • Lehrer, R., & Schäuble, L. (2003). Origins and evolution of model-based reasoning in mathematics and science. In R. Lesh & H. M. Doerr (Eds.), Beyond constructivism: A models and modelling perspective on mathematics problem solving, learning and teaching (pp. 59–70). Mahwah: Lawrence Erlbaum Associates.

    Google Scholar 

  • Lemke, J. L. (1990). Talking science: Language, learning, and values. Norwood: Ablex.

    Google Scholar 

  • Millar, R. (2005). Teaching about energy. York: Department of Educational Studies, University of York.

    Google Scholar 

  • Millar, R. (2014). Towards a research-informed teaching sequence for energy. In R. F. Chen, A. Eisenkraft, D. Fortus, J. Krajcik, K. Neumann, J. C. Nordine, & A. Scheff (Eds.), Teaching and learning of energy in K-12 education (pp. 187–206). New York: Springer.

    Chapter  Google Scholar 

  • Ministry of Education, Singapore (MOE) (2013). Science syllabus primary 2014. Retrieved on 28 June 2015 from https://tinyurl.com/l5mjwdc.

  • Nersessian, N. (1992). Constructing and instructing: The role of “abstraction techniques” in creating and learning physics. In R. Duschl & D. Hamilton (Eds.), Cognitive psychology, and educational theory and practice (pp. 48–68). New York: State University of New York Press.

    Google Scholar 

  • Paik, S. H., Cho, B. K., & Go, Y. M. (2007). Korean 4- to 11-year-old students conceptions of heat and temperature. Journal of Research in Science Teaching, 44(2), 284–302.

    Article  Google Scholar 

  • Plummer, J.D., Palma, C., Rubin, K., Flarend, A., Ong, Y.S., Ghent, C., Gleason, T., McDonald, S., Botzer, B., & Furman, T. (2016). The Role of Instruction in Defining a Solar System Learning Progression. Poster presented as part of the Methodological Approaches to the Development of Earth and Space Science Learning Progressions symposium at the NARST annual conference, Baltimore, MD.

  • Posner, G. J., Strike, K. A., Hewson, P. W., & Gertzog, W. A. (1982). Accommodation of a scientific conception: Toward a theory of conceptual change. Science Education, 66, 211–227.

    Article  Google Scholar 

  • Reiner, M. (2009). Sensory cues, visualisation and physics learning. International Journal of Science Education, 31(3), 343–364.

    Article  Google Scholar 

  • Roth, M.-W. (2008). Authentic science for all and the search for the ideal biology curriculum: A personal perspective. Journal of Biological Education, 43(1), 3–5.

    Article  Google Scholar 

  • Saari, H., & Viiri, J. (2003). A research-based teaching sequence for teaching the concept of modelling to seventh-grade students. International Journal of Science Education, 25(11), 1333–1352.

    Article  Google Scholar 

  • Schleppegrell, M. J. (2004). The language of schooling: A functional linguistics perspective. Mahwah: Lawrence Erlbaum Associates.

    Book  Google Scholar 

  • Seah, L. H. (2013). Interpreting students’ writings: Misconception or misrepresentation? School Science Review, 94(349), 109–115.

    Google Scholar 

  • Sutopo, & Waldrip, B. (2014). Impact of a representational approach on students’ reasoning and conceptual understanding in learning mechanics. International Journal of Science and Mathematics Education, 12, 741–765.

    Article  Google Scholar 

  • Tang, K.-S., & Tan, S.-C. (2017). Intertextuality and multimodal meanings in high school physics: Written and spoken language in computer-supported collaborative student discourse. Classroom Discourse, 8(1), 19–35. https://doi.org/10.1080/19463014.2016.1263576.

    Article  Google Scholar 

  • Tang, K.-S., Delgado, C., & Moje, E. B. (2014). An integrative framework for the analysis of multiple and multimodal representations for meaning-making in science education. Science Education, 98(2), 305–326.

    Article  Google Scholar 

  • Thomaz, M. F., Malaquias, I. M., Valente, M. C., & Antunes, M. J. (1995). An attempt to overcome alternative conceptions related to heat and temperature. Physics Education, 30(1), 19–26.

  • Tufte, E. (2014). Slopegraphs for comparing gradients: Slopegraph theory and practice. Retrieved on March 15, 2015, from: https://tinyurl.com/3qlfpyu

  • Tytler, R., Hubber, P., Prain, V., & Waldrip, B. (2013a). A representation construction approach. In R. Tytler, V. Prain, P. Hubber, & B. Waldrip (Eds.), Constructing representations to learn in science (pp. 31–49). Rotterdam: Sense.

    Chapter  Google Scholar 

  • Tytler, R., Prain, V., Hubber, P., & Haslam, F. (2013b). Reasoning in science through representation. In R. Tytler, V. Prain, P. Hubber, & B. Waldrip (Eds.), Constructing representations to learn in science (pp. 83–107). Rotterdam: Sense.

    Chapter  Google Scholar 

  • Van Meter, P., & Garner, J. (2005). The promise and practice of learner-generated drawing: Literature review and synthesis. Educational Psychology Review, 17(4), 285–325.

    Article  Google Scholar 

  • Vosniadou, S. (2012). Reframing the classical approach to conceptual change: Preconceptions, misconceptions and synthetic models. In B. J. Fraser, K. G. Tobin, & C. J. McRobbie (Eds.), Second international handbook of science education (pp. 119–130). Dordrecht: Springer.

    Chapter  Google Scholar 

  • Waldrip, B., & Prain, V. (2012). Developing an understanding of ions in junior secondary school chemistry. International Journal of Science and Mathematics Education, 10, 1191–1213.

    Article  Google Scholar 

  • Wiser, M., & Amin, T. (2001). “Is heat hot?” Inducing conceptual change by integrating everyday and scientific perspectives on thermal phenomena. Learning and Instruction, 11(4–5), 331–355.

    Article  Google Scholar 

Download references

Funding

This study is funded by a research grant from the National Institute of Education (Singapore) (AFR02/15JY).

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Correspondence to Jennifer Yeo.

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Appendices

Appendix A

Codes and description of CU scores for Question 2: A specific example

Score

[Code]

Description

Example of students’ responses

0

[Blank]

No response / response cannot be interpreted

-

1

[NU/NS]

Minimal use of scientific explanation / illustrate phenomenon with concrete depiction only

“because marble flooring is very cold.”

2

[AC]

Illustrate scientific concept inappropriately

“the marble is a bad conductor of heat.”

3

[PUAC]

Combination of AC and PU.

“marble is made out of glass, hence glass is a bad conductor of heat so it is cold. So wood is a bad conductor of heat and don't lose heat easily.”

4

[PU]

Identify some key attributes and relations of the phenomenon appropriately

“marble flooring is made out of glass so even if the temperature is high or low. It will always be cold as for wooden flooring is made of wood so it depends on the temperature unlike marble flooring.”

5

[SU]

Identify all key attributes and relations of the phenomenon appropriately

“it is because the marble flooring gains heat from Han's feet as it is a good conductor of heat meanwhile, wood is a poor conductor of heat so it does not gain as much/any heat than the marble floor.”

Appendix B

Codes and description of RC scores for Question 2: A specific example

Score

[Code]

Description

Examples of students’ responses from Q2

0

Blank

No response / response cannot be interpreted

1

Iconic

Response is produced with iconic drawings alone.

No data

2

Early symbolic

Response is produced with iconic drawings with some symbolic representations (e.g., labelling with words or symbolic images); or single word or short phrases

3

Syntactic

Use of some or all of linguistic resources in a syntactically sound manner to construe cause-and-effect (e.g., because), comparison (e.g., better/poorer conductor of heat, rate of heat flow, transfers heat faster/slower), processes (e.g., transfer, flows, heat flow); technical terms (e.g., heat).

“because marble flooring attracts air but wooden do not.”

4

Semantic

Ability to use all of the linguistic resources identified in Level 3 in a syntactically consistent manner to produce semantically-correct responses.

“Marble is a better conductor of heat than wood, so heat is lost from Han’s feet more quickly through marble than wood.”

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Yeo, J., Lim, E., Tan, K.C.D. et al. The Efficacy of an Image-to-Writing Approach to Learning Abstract Scientific Concepts: Temperature and Heat. Int J of Sci and Math Educ 19, 21–44 (2021). https://doi.org/10.1007/s10763-019-10026-z

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