PhotoMAT: A Mobile Tool for Aiding in Student Construction of Research Questions and Data Analysis
Emerging technology
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Abstract
This paper presents a new mobile software tool, PhotoMAT (Photo Management and Analysis Tool), and students’ experiences with this tool within a scaffolded curricular unit—Neighborhood Safari. PhotoMAT was designed to support learners’ investigations of backyard animal behavior and works with image sets obtained using fixed-position field cameras (“camera traps”) that capture “bursts” of images in response to motion. PhotoMAT was designed to help learners emulate two ways wildlife researchers use camera traps: documenting wildlife diversity via the relative frequency of appearances of different species, and exploring species’ behavior.
Keywords
Science education Learner centered design Mobile education toolsReferences
- Chi, M. T., Glaser, R., & Rees, E. (1981). Expertise in problem solving. Pittsburgh: Learning Research and Development Center, University of Pittsburgh.Google Scholar
- Engle, R. A., & Conant, F. R. (2002). Guiding principles for fostering productive disciplinary engagement: Explaining an emergent argument in a community of learners classroom. Cognition and Instruction, 20(4), 399–483.CrossRefGoogle Scholar
- Gentner, D., & Toupin, C. (1988). Systematicity and surface similarity in the development of analogy. Cognitive Science, 10, 277–300.CrossRefGoogle Scholar
- Goldman, S., Radinsky, J., Tozer, S., & Wink, D. (2010). Learning as inquiry. In E. Baker, B. McGraw, & P. Penelope (Eds.), The international encyclopedia of education (3rd ed.). Oxford: Elsevier.Google Scholar
- Kirsh, D., & Maglio, P. (1994). On distinguishing epistemic from pragmatic action. Cognitive Science, 18(4), 513–549.CrossRefGoogle Scholar
- Krajcik, J., Blumenfeld, P., Marx, R., & Soloway, E. (2000). Instructional, curricular, and technological supports for inquiry in science classrooms. In J. Minstrell & E. H. van Zee (Eds.), Inquiring into inquiry learning and teaching in science (pp. 283–315). Washington, DC: American Association for the Advancement of Science.Google Scholar
- Lee, H., & Songer, N. (2003). Making authentic science accessible to students. International Journal of Science Education, 25(8), 923–948.CrossRefGoogle Scholar
- Linn, M. C., Clark, D., & Slotta, J. D. (2003). WISE design for knowledge integration. Science Education, 87, 517–538.CrossRefGoogle Scholar
- Marx, R. W., Blumenfeld, P. C., Krajcik, J. S., Fishman, B., Soloway, E., Geier, R., et al. (2004). Inquiry-based science in the middle grades: Assessment of learning in urban systemic reform. Journal of Research in Science Teaching, 41(10), 1063–1080.CrossRefGoogle Scholar
- Metz, K. E. (2004). Children’s understanding of scientific inquiry: Their conceptualization of uncertainty in investigations of their own design. Cognition and Instruction, 22(2), 219–290.CrossRefGoogle Scholar
- Resnick, M., Berg, R., & Eisenberg, M. (2000). Beyond black boxes: Bringing transparency and aesthetics back to scientific investigation. The Journal of the Learning Sciences, 9(1), 7–30.CrossRefGoogle Scholar
- Shelley, T., Lyons, L., Moher, T., Dasgupta, C., Silva, B.L., & Silva, A. (2014). Information-building applications: Designing for data exploration and analysis by elementary school students. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ‘14). 2123–2132.Google Scholar
- Songer, N. B., Lee, H.-S., & McDonald, S. (2002). Research towards an expanded understanding of inquiry science beyond one idealized standard. Science Education, 87, 490–516.CrossRefGoogle Scholar
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