Publications by Rosa A. Moscarella
(2017). Undergraduate students’ understanding of the origin of genetic variation: insights from the automated analysis of constructed responses. In University Undergraduate Research and Arts Forum.
. (2016). A clicker-based case study that untangles student thinking about the processes in the central dogma. CourseSource. http://doi.org/https://doi.org/10.24918/cs.2016.15
. (2017). A method for analyzing and visualizing project teamwork [Poster]. In Michigan Academy of Science, Arts & Letters Conference.
. (2017). A student reasoning framework describing the role of a mRNA in the transcription of DNA. In Gordon Research Conference on Undergraduate Biology Education Research.
. (2016). An iterative approach to developing, refining and validating machine-scored constructed response assessments. In American Association for the Advancement of Science. Washington, DC. Retrieved from http://www.enfusestem.org/projects/an-iterative-approach-to-developing-refining-and-validating-machine-scored-constructed-response-assessments/ (Original work published 04/2016AD)
. (2015). Automated analysis of constructed responses: What are we modeling?. In Society for the Advancement of Biology Education Research.
. (2016). Automated Analysis of Written Assessments in STEM: Methodological Issues. In NARST. Baltimore, MD. (Original work published 04/2016AD)
. (2016). Automated Analysis Provides Insights into Students' Challenges Understanding the Processes Underlying the Flow of Genetic Information. In NARST. Baltimore, MD. (Original work published 04/2016AD)
. (2015). Automated Reporting of the Lexical and Statistical Analysis of Student Constructed Responses. In CREATE for STEM Mini-Conference.
. (2009). Beyond multiple choice exams: Using computerized lexical analysis to understand students conceptual reasoning in STEM disciplines. Frontiers in Education. San Antonio, TX: ASEE/IEEE. Retrieved from http://fie-conference.org/fie2009/papers/1195.pdf (Original work published October 18-21)
. (2010). Beyond Multiple Choice: Developing Automated Analysis of Constructed Responses [Poster]. Michigan State University: MSU SOTL symposium. (Original work published 05/2010AD)
. (2010). Beyond Multiple Choice: Using Automated Analysis to Evaluate Student Writing About Biology [Poster]. In STEM Education Day. Michigan State University.
. (2015). Biology Central Dogma: What are the Student Learning Challenges?. In University Undergraduate Research and Arts Forum. Michigan State University.
. (2009). Computer Scoring of Essay Questions [Poster]. In Biology Leadership Conference. Michigan State University.
. (2011). Computerized Lexical Analysis Reveals: Complexity of Student Ideas in Biology [Presentation]. In Society for Advancement of Biology Education Research . Minneapolis, MN.
. (2017). Computerized scoring of open response questions: A case study of enzyme structure and function [Poster]. In University Undergraduate Research and Arts Forum (UURAF). Michigan State University.
. (2017). Computerized scoring of student open response questions: A case study of enzyme structure and function [Poster]. In National Meeting for the Society for the Advancement of Biology Education Research (SABER). Minneapolis, MN.
. (2015). Construction of rubrics to evaluate content in students' scientific explanation using computerized text analysis. In NARST.
. (2015). Creation of scoring rubrics assisted by Computerized Text Analysis. In CREATE for STEM Mini Conference. East Lansing, MI.
. (2017). Developing a Constructed Response Question Targeting Student Understanding of Phospholipid Properties within a Cell Membrane. In Society for the Advacement of Biology Education Research.
. (2017). Enzyme Structure and Function: Comparing Student Responses to Multiple Question Versions [Poster]. In CREATE for STEM Mini Conference.
. (2016). Expanding a National Network for Automated Analysis of Constructed Response Assessments to Reveal Student Thinking in STEM. In American Association for the Advancement of Science. Washington, DC: American Association for the Advancement of Science. Retrieved from http://www.enfusestem.org/projects/collaborative-research-expanding-a-national-network-for-automated-analysis-of-constructed-response-assessments-to-reveal-student-thinking-in-stem-5/ (Original work published 04/2016AD)
. (2019). Exploring student thinking about genetics information flow in large enrollment undergraduate classes [Presentation]. In PKAL-Ohio. Dayton, OH.
. (2017). Exploring students ideas about the flow of genetic information from DNA to RNA. In Society for the Advancement of Biology Education Research.
. (2017). Exploring Students Ideas of the Origin of Genetic Variation [Poster]. In CREATE for STEM Mini-Conference. East Lansing, MI.
. (2010). Insight into student thinking in STEM: Lessons learned from lexical analysis of student writing. NARST Annual International Conference. Philadelphia, PA.
. (2015). Insights into Students Thinking about the Central Dogma from the Automated Analysis of Constructed Response Questions. In SABER.
. (2021). Introductory biology undergraduate students mixed ideas about genetic information flow. Biochemistry And Molecular Biology Education, 49(3). http://doi.org/https://doi.org/10.1002/bmb.21483 (Original work published 05/2021AD)
. (2023). Machine Learning Mixed Methods Text Analysis: An Illustration From Automated Scoring Models of Student Writing in Biology Education. Journal Of Mixed Methods Research, 15586898231153946. http://doi.org/10.1177/15586898231153946 (Original work published 02/2023AD)
. (2019). Mixed Student Ideas about Mechanisms of Human Weight Loss. Cbe—Life Sciences Education, 18, ar37. http://doi.org/10.1187/cbe.18-11-0227 (Original work published 09/19AD)
. (2017). Qualitative Analysis of Undergraduate Students' Writing of the Origin of Genetic Variation [Poster]. In Mid-Michigan Symposium for Undergraduate Research Experiences.
. (2020). Quantifying cognitive bias in educational researchers. International Journal Of Research \& Method In Education. http://doi.org/10.1080/1743727X.2020.1804541 (Original work published 08/2020AD)
. (2015). Student writing reveals misconceptions in the Central Dogma of Biology. In The Mid-Michigan Symposium for Undergraduate Research Experiences.
. (2015). The Central Dogma of molecular biology: Investigating student challenges understanding transcription. In SABER.
. (2016). The Importance of Random Assortment and Blinding in Qualitative Data Analysis. In NARST. Baltimore, MD.
. (2017). Towards meaningful scores: Development and validation of analytic rubrics for diagnostic purposes. In Society for the Advacement of Biology Education Research.
. (2008). Understanding undergraduate students conceptions in science: Using lexical analysis software to analyze students constructed responses in biology. NARST 2008 Annual International Conference. Baltimore, MD. (Original work published March 30 - April)
. (2009). Using lexical analysis software to understand student knowledge transfer between chemistry and biology. National Association of Research in Science Teaching Annual Conference. Garden Grove, CA. (Original work published April 17-21)
. (2015). Using student constructed responses to guide the development of instructional activities by cross- institutional faculty learning communities. In Gordon Research Conference on Undergraduate Biology Education Research.
. (2012). What are they thinking? Automated analysis of student writing about acid/base chemistry in introductory biology. Cbe—Life Sciences Education, 11(3). http://doi.org/doi:10.1187/cbe.11-08-0084
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