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Expanding the Role of VisualEyes: Developing STEM Content for an XML-Based Online Interactive Spatial and Temporal Events Browser

, , University of Virginia, United States

Society for Information Technology & Teacher Education International Conference, in San Diego, CA, USA ISBN 978-1-880094-78-5 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA


VisualEyes ( is an XML-based online interactive spatial and temporal events browser that allows instructional designers to create content for pre-service and in-service teachers who wish to incorporate dynamic visualizations into their classroom. To date, content development for VisualEyes has focused primarily upon topics within history and social studies. This presentation will discuss those projects, and then present examples from mathematics and science that are currently under construction. Expanding the use of VisualEyes into the STEM content areas might facilitate the progressive channeling of students along the K-20 STEM pipeline. Teachers are invited to collaborate with instructional designers in the development of content for VisualEyes, both within and outside of the STEM areas.


Tillman, D. & Ferster, B. (2010). Expanding the Role of VisualEyes: Developing STEM Content for an XML-Based Online Interactive Spatial and Temporal Events Browser. In D. Gibson & B. Dodge (Eds.), Proceedings of SITE 2010--Society for Information Technology & Teacher Education International Conference (pp. 930-933). San Diego, CA, USA: Association for the Advancement of Computing in Education (AACE). Retrieved March 20, 2019 from .


View References & Citations Map


  1. Ainsworth, S., Bibby, P., & Wood, D. (1998). Analysing the costs and benefits of multi-representational learning environments. In M.W. Van Someren, P. Reimann, H.P.A. Bozhimen, & T. De Jong (Eds.), Learning with multiple representations. (pp. 120-134). Amsterdam: Elsevier Science.
  2. Clements, D.H. (2003). Teaching and learning geometry. In J. Kilpatrick, W.G. Martin& D. Shifter (Eds.), Research companion to Principles and Standards for school mathematics (pp. 151-178). Reston,
  3. Ainsworth, S.E., & Van Labeke (2004) Multiple forms of dynamic representation. Learning and Instruction, 14(3), 241-255.
  4. Ainsworth, S.E., Bibby, P.A & Wood, D.J. (2002). Examining the effects of different multiple representational systems in learning primary mathematics. Journal of the Learning Sciences. 11(1), 25-62.
  5. Hyde, A., George, K., Mynard, S., Hull, C., Watson, S., & Watson, P. (2006). Creating multiple representations in algebra: All chocolate, no change. Mathematics Teaching in the Middle School, 11(6), 262-268.
  6. Lajoie, S.P. (2003). Transitions and trajectories for studies of expertise. Educational Researcher, 32(8), 21-25.
  7. Mittag, K., and Taylor, S. (2009) As the ball rolls: A quadratic investigation using multiple representations. Mathematics Teacher (Vol. 103, No. 1), P. 62-68.
  8. Sadler, P.M. & Tai, R.H. (2007). The two high-school pillars supporting college science. Science. 317(5837), 457-458.
  9. Taasoobshirazi, G., & Carr, M. (2008). Gender differences in science: An expertise perspective. Educational Psychology Review, 20, 149-169.
  10. Tai, R.H., Liu, C.Q., Maltese, A.V., & Fan, X. (2006). Planning early for careers in science. Science. 312(5777), 1143 – 1144.
  11. Tversky, B., Morrison, J.B. & Betrancourt, M. (2002). Animation: Can it facilitate? International Journal of Human Computer Studies, 57, 247-23962.

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