Initial Publication Date: July 28, 2017

Publications and Presentations

Publications

O'Reilly, C.M., Gougis, R.D., Klug, J.L., Carey, C.C., Richardson, D.C., Bader, N.E., Soule, D.C., Castendyk, D., Meixner T., Stromberg, J., Weathers, K.C., and W. Hunter. 2017. Using large data sets for open-ended inquiry in undergraduate science classrooms. Bioscience 67:12:1052-1061. doi.org/10.1093/biosci/bix118

Klug, J.L., C.C. Carey, D.C. Richardson, and R. Darner Gougis. 2017 Analysis of high-frequency and long-term data in undergraduate ecology classes improves quantitative literacy. Ecosphere, 8:3: e01733.

Carey, C. C. and Gougis, R. D. 2017. Simulation modeling of lakes in undergraduate and graduate classrooms increases comprehension of climate change concepts and interest in computational tools. Journal of Science Education and Technology, 26(1): 1–11.

Bader, N. E., Soule, D., Castendyk, D., Meixner, T., O'Reilly, C., and Gougis, R. D. 2016. Students, Meet Data. EOS, 97, published on 2 March 2016. doi:10.1029/2016EO047175

Darner Gougis, R., Stomberg, J. F., O'Hare, A. T., O'Reilly, C. M., Bader, N. E., Meixner, T., and Carey, C. C. 2016. Post-Secondary Science Students' Explanations of Randomness and Variation and Implications for Science Learning. International Journal of Science and Mathematics Education, 1-18, doi:10.1007/s10763-016-9737-7

Carey, C.C., Darner Gougis, R., Klug, J. L., O'Reilly, C. M., and Richardson, D. C. 2015. A model for using environmental data-driven inquiry and exploration to teach limnology to undergraduates. Limnology and Oceanography Bulletin 24(2): 2-5. doi:10.1002/lob.10020

Presentations

Meixner, T., Soule, D., N. Bader, C. Carey, D. Castendyk, R. Fuller, C. Gibson, R. Gougis-Darner, J. Klug, L. Nave, C. O'Reilly, D. Richardson, and J. Stomberg**. Environmental Data-Driven Inquiry and Exploration (EDDIE) – Water focused modules for interacting with Big Hydrologic Data. American Geophysical Union Annual Meeting, December, 2016.

Soule, D., R. Gougis, and C O'Reilly. EDDIE Seismology: Introductory spectral analysis for undergraduates. American Geophysical Union Annual Meeting, December, 2016.

Carey, C.C., R. Darner Gougis, D.C. Richardson, J.L. Klug, and C.M. O'Reilly. 2016. Integrating high-frequency limnology data and distributed computing into undergraduate and graduate student classrooms builds quantitative reasoning and modeling skill, ASLO Annual meeting, June 2016.

Soule, D., N. Bader, C. Carey, D. Castendyk, R. Fuller, C. Gibson, R. Gougis-Darner, J. Klug, T. Meixner, L. Nave, C. O'Reilly, D. Richardson, and J. Stomberg. Project EDDIE: Improving Big Data skills in the classroom. American Geophysical Union Annual Meeting, December, 2015.

Castendyk, D., N. Bader, D. C. Soule, T. Meixner, D. Richardson, C. Carey, R. Gougis-Darner, C. Gibson, J. Klug, and C. M. O'Reilly. Environmental Data-Driven Inquiry and Exploration (Project EDDIE): Modules that engage students in quantitative reasoning and scientific discourse using large, high-frequency and sensor-based datasets. Geological Society of America Annual Meeting, October, 2015.

Richardson, D., D. Castendyk, N. Bader, C. Carey, R. Gougis, R. Fuller, C. Gibson, J. Klug, T. Meixner, C. O'Reilly. 2015. Environmental data-driven inquiry and exploration (Project EDDIE): a model to engage students in quantitative reasoning and scientific discourse. Ecological Society of America annual meeting poster presentation, Baltimore, MD.

O'Reilly, C. M., T. Meixner, N. Bader, C. Carey, D. Castendyk, R. Gougis-Darner, R. Fuller, C. Gibson, J. Klug, D. Richardson, and J. Stomberg. The use of high-frequency data to engage students in quantitative reasoning and scientific discourse, American Geophysical Union, December 2014.

Castendyk, D., N. Bader, C. Carey, R. Gougis, R. Fuller, C. Gibson, J. Klug, T. Meixner, C. O'Reilly, and D. Richardson. The use of high-frequency data to engage students in quantitative reasoning and scientific discourse. Geological Society of America Annual Meeting, October, 2014.