Abstract
This study examined teachers’ and students’ initial conceptions of computer-based models—Flash and NetLogo models—and documented how teachers and students reconciled notions of multiple representations featuring macroscopic, submicroscopic and symbolic representations prior to actual intervention in eight high school chemistry classrooms. Individual in-depth interviews were conducted with 32 students and 6 teachers. Findings revealed an interplay of complex factors that functioned as opportunities and obstacles in the implementation of technologies in science classrooms. Students revealed preferences for the Flash models as opposed to the open-ended NetLogo models. Altogether, due to lack of content and modeling background knowledge, students experienced difficulties articulating coherent and blended understandings of multiple representations. Concurrently, while the aesthetic and interactive features of the models were of great value, they did not sustain students’ initial curiosity and opportunities to improve understandings about chemistry phenomena. Most teachers recognized direct alignment of the Flash model with their existing curriculum; however, the benefits were relegated to existing procedural and passive classroom practices. The findings have implications for pedagogical approaches that address the implementation of computer-based models, function of models, models as multiple representations and the role of background knowledge and cognitive load, and the role of teacher vision and classroom practices.
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Notes
See Mayer (2001) for detailed discussion of best practice principles to guide design and development of animation and simulations learning platforms. These principles include the modality principle, spatial contiguity principle, temporal contiguity principle, coherence principle, redundancy principle, and individual difference principle.
Explanatory (as opposed to representational) models are designed to develop or support learning and understanding of established knowledge (Gilbert 2005; Gregorius 2010). Thus rather than representing all of the information for a concept, content signals function to guide the learner (along with other forms of instruction) to construct their own understanding of a phenomenon.
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Acknowledgments
The materials reported in this paper are based upon work supported by the National Science Foundation under Grant No. DRL-0918295. The authors sincerely thank the contributions made by Dr. Xiufeng Liu, Dr. Roberto Gregorius, Dr. Gail Zichittella, Silin Wei, and Saranya Harikrishnan. We also want to thank the teachers and students who graciously allowed us into their classrooms. Conclusions or recommendations expressed in this article do not necessarily reflect the views of the National Science Foundation.
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Appendix A
Appendix A
Teacher and Student Interview Protocol
Teacher Interview
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1.
What are your reactions to the models?
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2.
How do you see these tools being helpful to your teaching?
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3.
What are some ways you can use these tools in your teaching? Give some specific examples.
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4.
What do you think students would learn from this process?
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5.
Which aspects of the models do you think were beneficial to students? Why?
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6.
With which aspects of the model did students have the most difficulty? Why?
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7.
In what kinds of ways can you as a teacher address these understandings? Difficulties?
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8.
How can these models better serve what you propose to do in the classroom?
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9.
What would you change and why?
Student Interview
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1.
What were your reactions to (a) the Flash models and (b) NetLogo models? What came to mind as you viewed these?
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2.
What were your experiences working with these models?
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3.
Do you think that the use of these models helped you to understand chemistry content (e.g., states of matter etc.) better? In what ways?
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4.
If not, why? Explain.
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5.
Now let’s look at some specific examples. Let’s take a look at the states of matter model.
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(a)
Both models explored phase changes. Tell me a little about how this was represented in the Flash model?
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(b)
How was this represented in the NetLogo model?
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(c)
For both (a) and (b), follow up with this question: Where in the models can we see that?
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6.
What about the tool was beneficial in your learning process? What about the tool was not helpful?
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7.
What do you think your teacher could have done differently to help your learning and understanding of atomic structure?
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8.
Would you want your teacher to use these tools in your chemistry classroom?
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Waight, N., Gillmeister, K. Teachers and Students’ Conceptions of Computer-Based Models in the Context of High School Chemistry: Elicitations at the Pre-intervention Stage. Res Sci Educ 44, 335–361 (2014). https://doi.org/10.1007/s11165-013-9385-7
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DOI: https://doi.org/10.1007/s11165-013-9385-7