Prevost Lab at USF

CONFERENCE PRESENTATIONS


(* graduate student; **postgraduate; † undergraduate student)


McNeill**, B, and L.B. Prevost. 2018 (upcoming). Follow that carbon atom! Using machine learning to trace carbon transformation pathways and processes. Society for the Advancement of Biology Education Research Annual Meeting. Minneapolis, MN.

MacNeill**, B., M. Romero, A, Hoskinson, and L.B. Prevost. 2017. Follow that carbon atom! Using machine learning to trace student understanding of the carbon cycle. Ecological Society of America 102st Annual Meeting. Portland, OR.

Prevost, L. 2017. Automated approaches for assessing student writing. Transforming Research in Undergraduate STEM Education (TRUSE) Conference. St. Paul, MN

Carter*, K., Prevost, L. 2017. Text analysis models for assessing understanding of structure and function. Transforming Research in Undergraduate STEM Education (TRUSE) Conference. St. Paul, MN. TRUSE 2017 poster final.pdf

Carter*, K., Prevost, L. 2017. Building text analysis models for scoring structure and function. Human Anatomy & Physiology (HAPS) Annual Meeting. Salt Lake City, UT. HAPS 2017 poster final.pdf

Carter*, K., Prevost. L. 2017. Investigating text analysis models for scoring structure and function. The 38th World Congress of the International Union of Physiological Sciences (IUPS). Rio de Janeiro, Brazil

Shea†, .L., Bégin, C., Osovitz, C., and L. Prevost.  2017. Comparison of student success between high-interaction and low-interaction classroom designs in an introductory Biology course. University of South Florida OUR Undergraduate Research Conference. Shea_Clicker Dosage_Poster_Apr2017.pdf


Icenhour†, D. and L. Prevost. 2016. Using Web-Based Games to Promote Learning and Engagement in Biology. 7th Annual University of South Florida REU-RET Poster Symposium. Icenhour_WebGame_RISE_Poster 2016.pdf


Prevost, L.B., Romero*, M., Thurman*, P.E., Moon-Michel*, L. and Y. Lou. 2016. Using web-based gaming to improve engagement and enhance assessment in ecology. Ecological Society of America 101st Annual Meeting. Fort Lauderdale, FL.

Romero*, M., Prevost L. 2016. Do models matter? Comparing concept mapping and simulations for student learning of ecology concepts. Society for the Advancement of Biology Education Research Annual Meeting. Minneapolis, MN. Romero SABER 2016 poster Final.pdf

Carter*, K., Prevost, L. 2016. Investigating the effect of question order on student understanding of structure and function. American Physiological Society Workshop: Institute of Teaching and Learning. Madison, WI. APS poster summer 2016 final.pdf

McCourt, J.S., Lemons, P., Andrews, T., Knight, J.K. Merrill, J., Nehm, R.H., Pelletreau, K.N., Prevost, L.B., Smith, M.K., and Urban-Lurain, M. 2016. Examining persistence in faculty learning communities by biology faculty. Society for the Advancement of Biology Education Research National Meeting Society for the Advancement of Biology Education Research Annual Meeting. Minneapolis, MN.

Moscarella, R., Bierema, A., Hoskinson, A-M., Knight, J., Pelletreau, K., Prevost, L., Smith, M., Steele, M., Haudek, K., Urban-Lurain, M. and Merrill, J. 2016. Creation of an analytic rubric to evaluate content changes in students’ responses about the flow of genetic information. Society for the Advancement of Biology Education Research Annual Meeting. Minneapolis, MN.

Urban-Lurain, M., Knight, J., Lemons, P., Merrill, J., Nehm, R., Prevost, L., Smith, M. Haudek, K., Bierema, A., Hoskinson, A-M., Moscarella, R., Steele, M. and Mazur, A. 2016. Insight into student thinking: Informing instruction with the Automated Analysis of Constructed Response Assessments. Society for the Advancement of Biology Education National Meeting. Minneapolis, MN.

Moscarella, R.A., Haudek, K.C., Knight, J.K., Mazur, A., Pelletreau, K.N., Prevost, L.B., Smith, M.K., Steele, M., Urban-Lurain, Mark, and Merrill, J.E. 2016. Automated analysis provides insights into students’ challenges understanding the processes underlying the flow of genetic information. National Association for Research in Science Teaching Annual International Conference. Baltimore, MD.

Prevost, L., Bierema, A., Haudek. K., Kaplan, J., Knight, J. Lemons, P.P., Lira, C.T., Merrill, J.E., Moscarella, R., Nehm, R.H., Sydlik, M. and Urban-Lurain, M. 2016. An iterative approach to developing, refining and validating machine-scored constructed response assessments. AAAS Envisioning the Future of Undergraduate STEM Education (ENFUSE). Washington, DC.

Lemons, P.P., McCourt, J., Knight, J., Merrill, J.E., Nehm, R.H., Prevost, L., Smith, M.K. Sydlik, M., and Urban-Lurain, M. 2016. A community of enhanced assessment facilitates reformed teaching. AAAS Envisioning the Future of Undergraduate STEM Education (ENFUSE). Washington, DC.

Prevost, L.B. and Carter*, K. and Romero*, M. and Martinez†, K. 2016. Facilitating written biology assessment in large-enrollment courses using machine learning. 18th International Conference on Educational Data Mining. Copenhagen, Denmark.

Prevost, L.B., Romero*, M., Moon-Michel*, L. and Lou, Y. 2016. Air Potato Invaders: Scenario-Based Digital Games for Science Inquiry Learning and Assessment. Proceedings of the Society for Information Technology and Teacher Education (SITE). Savannah, GA.

Douglas†, B. and L. Prevost. 2016 Chordate Snapshot: An Interactive Phylogeny. University of South Florida OUR Undergraduate Research Colloquium.Douglas_ChordateSnapshotPoster_Apr2016.pdf


Prevost, L.B. 2015. Assessing student ecological understanding using text analysis and machine learning. Ecological Society of America 100th Annual Meeting. Fort Lauderdale, FL.

Carter*, K., & Prevost, L. 2015. Assessing student understanding of core principle structure and function. Society for the Advancement of Biology Education Research Annual Meeting. Minneapolis, MN.

McCourt, J., Andrews, T., Crumbs, T., Knight, J., Merrill, J., Merrill, S., Nehm, R., Pelletreau, K., Prevost, L., Smith, M., Urban-Lurain, M., & Lemons, P. 2015. Using faculty learning communities to promote the development of student-centered biology instructors. Society for the Advancement of Biology Education Research Annual Meeting. Minneapolis, MN.

Moscarella, R., Park, M., Steele, M., Pelletreau, K., Prevost, L., Smith, M., Knight, J., & Urban-Lurain, M. 2015. Insights into students’ thinking about the central dogma from the automated analysis of constructed response questions. Society for the Advancement of Biology Education Research Annual Meeting. Minneapolis, MN.

Romero*, M., Carter*, K., & Prevost, L. 2015. Assessing writing about matter and energy: Comparing text analysis and machine learning. Society for the Advancement of Biology Education Research Annual Meeting. Minneapolis, MN. 

Hurt, N.E., M. Camus, L.R. Larson, and L Prevost. 2015 “Embracing Facebook as an Online Discussion Medium: Is it Worth the Effort?” Paper to be presented at the National Communication Association Convention, Las Vegas, NV.

Prevost L.B. 2015. Assessing student biological understanding using text analysis and machine learning. "Undergraduate Biology Education Research" Gordon Research Conference. Lewiston, ME

Martinez†, K and L. Prevost. 2015. Student Comprehension of Energy Flow in Food Webs: A Comparison of Human Coding and Computerized Text Analysis University of South Florida OUR Undergraduate Research Colloquium. Martinez Energy_Food Webs_Poster_Apr2015.pdf


Prevost, L.B. 2014. Assessing student understanding of matter and energy transformation: Lexical analysis of student writing. Life Discovery Conference. San Jose, CA

Prevost, L.B. 2014. Exploring students’ mental models of matter and energy transformation through lexical analysis of written assessments. Ecological Society of America 99th Annual Meeting. Sacramento, CA

Prevost, L.B. 2014. Automated Text Analysis Facilitates Using Written Formative Assessments for Just-in-Time Teaching in Large Enrollment Courses. Maine Research in STEM Education (RiSE) national conference, Bangor, ME.

Prevost, L.B. 2014. Automated Text Analysis Facilitates Using Written Formative Assessments for Just-in-Time Teaching in Large Enrollment Courses. Maine Research in STEM Education (RiSE) national conference, Bangor, ME. (Invited)

Prevost, L.B. 2014. Assessing students’ ability to trace matter and energy using lexical analysis of written assessments. Society for the Advancement of Biology Education Research Annual Meeting. Minneapolis, MN.

Prevost, L, B., Haudek, K.C., and M. Urban-Lurain. 2014. Computerized Lexical Analysis of Students’ Written Interpretations of Chemical Representations. National Association for Research in Science Teaching, Pittsburgh, PA.

Prevost, L.B., H. Campa III. 2013. Student Writing Reveals Their Heterogeneous Thinking about the Origin of Genetic Variation in Populations. National Association for Research in Science Teaching, Rio Grande, Puerto Rico.

Urban-Lurain, M., L. B. Prevost, H. Campa III. 2013. STEM Doctoral Student Professional Development in Teaching: Outcomes of a High-Engagement Program. National Association for Research in Science Teaching. Rio Grande, Puerto Rico