Publications

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2015
Ha, M., Baldwin, B., & Nehm, R. H.. (2015). The long-term impacts of short-term professional development: science teachers and evolution. Evolution Education and Outreach, 8, 23. doi:doi:10.1186/s12052-015-0040-9
Chen, J., Ha, M., & Nehm, R. H.. (2015). Measuring semantic similarity in written text: Applications to learning and assessment. In NARST 2015 Annual International Conference. presented at the 04/2015.
Mazur, A., Moscarella, R. A., Urban-Lurain, M., & Merrill, J.. (2015). Student writing reveals misconceptions in the Central Dogma of Biology. In The Mid-Michigan Symposium for Undergraduate Research Experiences.
Opitz, S. T., Harms, U., Neumann, K., Kowalzik, K., & Frank, A.. (2015). Students’ Energy Concepts at the Transition Between Primary and Secondary School. Research in Science Education, 45(5), 691-715. presented at the 10/2014. doi:10.1007/s11165-014-9444-8
Opitz, S. T., Harms, U., Neumann, K., Kowalzik, K., & Frank, A.. (2015). Students’ Energy Concepts at the Transition Between Primary and Secondary School. Research in Science Education, 45(5), 691-715. presented at the 10/2015. doi:10.1007/s11165-014-9444-8
Opitz, S. T., Harms, U., Neumann, K., Kowalzik, K., & Frank, A.. (2015). Students’ Energy Concepts at the Transition Between Primary and Secondary School. Research in Science Education, 45(5), 691-715. presented at the 10/2015. doi:10.​1007/​s11165-014-9444-8
Opitz, S. T., Harms, U., Neumann, K., Kowalzik, K., & Frank, A.. (2015). Students’ Energy Concepts at the Transition Between Primary and Secondary School. Research in Science Education, 45(5). presented at the 07/2014. doi:10.1007/s11165-014-9444-8
2014
Matz, R. L. (2014). 3D-LOP.
PDF icon 2014-05-22 RLM 3D-LOP Presentation at WMU.pdf (2.88 MB)
PDF icon AACR III CREATE MINI Conference 20-feb-14.pdf (834.69 KB)
Cooper, M. M., Underwood, S. Miller, Bryfczynski, S. P., & Klymkowsky, M. W.. (2014). ACS Symposium SeriesTools of Chemistry Education ResearchA Short History of the Use of Technology To Model and Analyze Student Data for Teaching and Research. (D. M. Bunce & Cole, éeS.)ACS Symposium Series (Vol. 1166, pp. 219 - 239). Washington, DC: American Chemical Society. doi:10.1021/symposium10.1021/bk-2014-116610.1021/bk-2014-1166.ch012
PDF icon A Short History of the Use of Technology To Model and Analyze Student Data for Teaching and Research.pdf (1.71 MB)
Prevost, L. B. (2014). Assessing students'ability to trace matter and energy using lexical analysis of written assessments. Society for Advancement of Biology Education Research annual meeting. presented at the 07/2014, Minneapolis, MN: SABER.
Corley, L., Olwine, J., Noyes, K., Cooper, M., Haudek, K. C., & Urban-Lurain, M.. (2014). Automated Analysis of Students’ Constructed Explanations in Chemistry. Biennial Conference on Chemical Education. presented at the 08/2014, Grand Valley State University: BCCE.
PDF icon Corley_AACR_BCCE_2014.pdf (1.61 MB)

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