Small Instructional Changes to Emphasize Data Modeling Practices

References

• Abdulwahed, M., & Nagy, Z. K. (2009). Applying Kolb’s experiential learning cycle for laboratory education. Journal of Engineering Education, 98(3), 283–294. https://doi.org/10.1002/j.2168-9830.2009.tb01025.x
   Web of Science ®Google Scholar
• Airey, J., & Linder, C. (2009). A disciplinary discourse perspective on university science learning: Achieving fluency in a critical constellation of modes. Journal of Research in Science Teaching: The Official Journal of the National Association for Research in Science Teaching, 46(1), 27–49.
   Web of Science ®Google Scholar
• American Association for the Advancement of Science (AAAS). (2011). Vision and change in undergraduate biology education: A call to action, final report. AAAS.
   Google Scholar
• Blanchard, M. R., Southerland, S. A., Osborne, J. W., Sampson, V. D., Annetta, L. A., & Granger, E. M. (2010). Is inquiry possible in light of accountability?: A quantitative comparison of the relative effectiveness of guided inquiry and verification laboratory instruction. Science Education, 94(4), 577–616. https://doi.org/10.1002/sce.20390
   Web of Science ®Google Scholar
• Borasi, R. (1996). Reconceiving mathematics instruction: A focus on errors. Ablex Publishing Corporation.
   Google Scholar
• Cobb, P., Confrey, J., DiSessa, A., Lehrer, R., & Schauble, L. (2003). Design experiments in educational research. Educational Researcher, 32(1), 9–13.
   Google Scholar
• Duschl, R. (2008). Science education in three-part harmony: Balancing conceptual, epistemic, and social learning goals. Review of Research in Education, 32(1), 268–291. https://doi.org/10.3102/0091732X07309371
   Web of Science ®Google Scholar
• Ford, M. (2008). Disciplinary authority and accountability in scientific practice and learning. Science Education, 92(3), 404–423. https://doi.org/10.1002/sce.20263
   Web of Science ®Google Scholar
• Franklin, C., Kader, G., Mewborn, D., Moreno, J., Peck, R., Perry, M., & Scheaffer, R. (2007). Guidelines for assessment and instruction in statistics education (GAISE) report. American Statistical Association.
   Google Scholar
• Houle, D., Pélabon, C., Wagner, G. P. & Hansen, T. F. (2011). Measurement and meaning in biology. The Quarterly Review of Biology 86(1), 3–34. https://doi.org/10.1086/658408
   PubMed Web of Science ®Google Scholar
• Konold, C., & Miller, C. D. (2005). TinkerPlots: Dynamic data exploration [Computer software]. Key Curriculum Press.
   Google Scholar
• Lehrer, R., & Schauble, L. (2004). Modeling natural variation through distribution. American Educational Research Journal, 41(3), 635–679.
   Web of Science ®Google Scholar
• Lischka, A. E., Gerstenschlager, N. E., Stephens, D. C., Barlow, A. T., & Strayer, J. F. (2018). Making room for inspecting mistakes. Mathematics Teacher, 111(6), 432–439.
   Google Scholar
• National Research Council (NRC). (2011). Promising practices in undergraduate science, technology, engineering, and mathematics education: Summary of two workshops. The National Academies Press.
   Google Scholar
• National Research Council (NRC). (2012). A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. The National Academies Press.
   Google Scholar
• National Research Council (NRC). (2015). Reaching students: What research says about effective instruction in undergraduate science and engineering. The National Academies Press.
   Google Scholar
• Petrosino, A. J., & Mann, M. J. (2018). Data modeling for preservice teachers and everyone else. Journal of College Science Teaching, 47(3), 18–24.
   Google Scholar
• Southerland, S. A., Sowell, S., Blanchard, M., & Granger, E. M. (2011). Exploring the construct of pedagogical discontentment: A tool to understand science teachers’ openness to reform. Research in Science Education, 41(3), 299–317.
   Web of Science ®Google Scholar
• Withers, M. (2016). The college science learning cycle: An instructional model for reformed teaching. CBE—Life Sciences Education, 15(4). https://doi.org/10.1187/cbe.15-04-0101
   PubMed Web of Science ®Google Scholar