AACR Publications

We are pleased to share with you some of our academic publications and other recent efforts to disseminate important developments and research to the broader community. Some publications may be downloadable directly from us, while others may be accessed through the Journal publisher provided in the links. Please feel free to contact the author(s) if you have specific questions about any of the work listed here.

2016

Prevost, L. B., Smith, M. K., & Knight, J. K.. (2016). Using student writing and lexical analysis to reveal student thinking about the role of stop codons in the central dogma. CBE - Life Sciences Education, 15(4), pii: ar65. presented at the 12/2016. doi:10.1187/cbe.15-12-0267
Ha, M., & Nehm, R. H.. (2016). Predicting the Accuracy of Computer Scoring of Text: Probabilistic, Multi-Model, and Semantic Similarity Approaches. In National Assocation for Research in Science Teaching Annual Conference. presented at the 04/2016, Baltimore, MD: NARST.
Lemons, P. P., McCourt, J., Knight, J., Merrill, J. E., Nehm, R. H., Prevost, L., et al.. (2016). A community of enhanced assessment facilitates reformed teaching. In AAAS Envisioning the Future of Undergraduate STEM Education. presented at the 04/2016, Washington, DC: American Association for the Advancement of Science. Retrieved from http://www.enfusestem.org/projects/a-community-of-enhanced-assessment-facilitates-reformed-teaching/
Moscarella, R. A., Haudek, K. C., Knight, J. K., Mazur, A., Pelletreau, K. N., Prevost, L. B., et al.. (2016). Automated Analysis Provides Insights into Students’ Challenges Understanding the Processes Underlying the Flow of Genetic Information. In National Assocation for Research in Science Teaching Annual Conference. presented at the 04/2016, Baltimore, MD: NARST.
Steele, M., Merrill, J. E., Haudek, K. C., & Urban-Lurain, M.. (2016). The Development of Constructed Response Astronomy Assessment Items. In National Assocation for Research in Science Teaching Annual Conference. presented at the 04/2016, Baltimore, MD: NARST. Retrieved from http://matthewmsteele.github.io/NARST2016/
Stuhlsatz, M., Wilson, C. D., Buck-Bracey, Z., Urban-Lurain, M., Merrill, J. E., & Haudek, K. C.. (2016). Applying Automated Analysis to Develop a Cost-Effective Measure of Science Teacher Pedagogical Content Knowledge. In National Assocation for Research in Science Teaching Annual Conference. presented at the 04/2016, Baltimore, MD: NARST.
Various-Authors, M. (2016). Automated Analysis of Written Assessments in STEM: Methodological Issues. In National Assocation for Research in Science Teaching Annual Conference. presented at the 04/2016, Baltimore, MD: NARST.
Ha, M., & Nehm, R. H.. (2016). The Impact of Misspelled Words on Automated Computer Scoring: A Case Study of Scientific Explanations. Journal of Science Education and Technology. doi:10.1007/s10956-015-9598-9

2015

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.
Ha, M., & Nehm, R. H.. (2015). Exploring students' evolutionary explanations across natural, sexual, and artificial selection secenarios. In NARST 2015 Annual International Conference. presented at the 04/2015.
Ha, M., & Nehm, R. H.. (2015). Assessment item "Cover Stories", semantic similarity and successful computerized scoring of open-ended text. In NARST 2015 Annual International Conference. presented at the 04/2015.
Carter, K., & Prevost, L.. (2015). Assessing student understanding of core principle structure and function. In Society for Advancement of Biology Education Research Annual Meeting.
Crumbs, T., McCourt, J. S., & Lemons, P. P.. (2015). Analysis of Teachers' Thinking about Pedagogical Practices in College Biology Courses. In University of Georgia Research Experiences for Undergraduates Poster Session.

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This material is based upon work supported by the National Science Foundation (DUE grants: 1438739, 1323162, 1347740, 0736952 and 1022653). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the NSF.