Mark Urban-Lurain Publications
Jescovitch, L. N., Doherty, J. H., Scott, E. E., Cerchiara, J. A., Wenderoth, M. P., Urban-Lurain, M., et al.. (2019). Challenges in Developing Computerized Scoring Models for Principle-Based Reasoning in a Physiology Context. In NARST Annual Conference. presented at the 04/2019, Baltimore, MD: NARST.

Pelletreau, K. N., Knight, J. K., Lemons, P. P., McCourt, J. S., Merrill, J. E., Nehm, R. H., et al.. (2018). A Faculty Professional Development Model That Improves Student Learning, Encourages Active-Learning Instructional Practices, and Works for Faculty at Multiple Institutions. CBE—Life Sciences Education, 17, es5. doi:10.1187/cbe.17-12-0260
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.

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/

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.

