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Applying machine learning in science assessment: a systematic review. Studies in Science Education, 56(11), 111-151. doi:10.1080/03057267.2020.1735757. (2020).
Deconstruction of Holistic Rubrics into Analytic Rubrics for Large-Scale Assessments of Students’ Reasoning of Complex Science Concepts. Practical Assessment, Research & Evaluation, 24(7). presented at the 09/2019. doi:10.7275/9h7f-mp76. (2019).
Interdisciplinary insights from instructor interviews reconciling “structure and function” in biology, biochemistry, and chemistry through the context of enzyme binding. Disciplinary and Interdisciplinary Science Education Research, 1(1). presented at the 12/2019. doi:10.1186/s43031-019-0016-7. (2019).
Towards an Equitable Design Framework of Developing Argumentation in Science Items and Rubrics for Machine Learning. In NARST Annual Conference. presented at the 04/2019, NARST.. (2019).
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.. (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.. (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/. (2016).
The Importance of Random Assortment and Blinding in Qualitative Data Analysis. Baltimore, MD. presented at the 04/2016.. (2016).
Construction of rubrics to evaluate content in students' scientific explanation using computerized text analysis. In NARST 2015 Annual International Conference. NARST.. (2015).
Creation of scoring rubrics assisted by Computerized Text Analysis. In CREATE for STEM Mini Conference.. (2015).
Examining the impact of question surface features on students' answers to constructed-response questions on photosynthesis. CBE - Life Sciences Education, 14. doi:10.1187/cbe.14-07-0110. (2015).
Expanding a National Network for Automated Analysis of Constructed Response Assessments to Reveal Student Thinking in STEM. Computers in Education Journal, 6, 65-81. Retrieved from https://peer.asee.org/expanding-a-national-network-for-automated-analysis-of-constructed-response-assessments-to-reveal-student-thinking-in-stem.pdf. (2015).
Examining the impact of question surface features on students’ answers to constructed response questions in biology. In CREATE4STEM Mini Conference. Michigan State University.. (2014).
Using lexical analysis software to assess student writing in statistics. Technology Innovations in Statistics Education, 8. Retrieved from http://www.escholarship.org/uc/item/57r90703. (2014).