Export 14 results:
Filters: Author is Nehm, Ross [Clear All Filters]
A clicker-based case study that untangles student thinking about the processes in the central dogma. CourseSource, 3, 1-11. doi:https://doi.org/10.24918/cs.2016.15. (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.. (2016).
Automated analysis of constructed responses: What are we modeling?. In Society for the Advancement of Biology Education Research. SABER.. (2015).
Faculty Learning Communities as a Focus for Assessment-Driven Instructional Change. In CREATE for STEM Mini Conference.. (2015).
Using faculty learning communities to promote the development of student‐centered biology instructors. In Society for the Advancement of Biology Education Research. SABER.. (2015).
Expanding a National Network for Automated Analysis of Constructed Response Assessments to Reveal Student Thinking in STEM. In ASEE Annual Conference. presented at the 06/2014, Indianapolis, IN: ASEE. Retrieved from http://www.asee.org/public/conferences/32/papers/9856/view. (2014).
Investigating the Impact of Faculty Learning Communities on Biology Instructors. Society for the Advancement of Biology Education Research (SABER) Annual Meeting. presented at the 07/2014, Minneapolis, MN: SABER.. (2014).
Assessing Scientific Practices Using Machine-Learning Methods: How Closely Do They Match Clinical Interview Performance?. Journal of Science Education and Technology. presented at the 07/2013. doi:DOI 10.1007/s10956-013-9461-9. (2013).
Human vs. Computer Diagnosis of Students’ Natural Selection. Journal of Science Education and Technology, 21(1), 56-73. doi:10.1007/s10956-011-9282-7. (2012).
Reasoning About Natural Selection: Diagnosing Contextual Competency Using the ACORNS Instrument. American Biology Teacher, 74(2), 92-98. presented at the 02/2012. Retrieved from http://www.jstor.org/stable/10.1525/abt.2012.74.2.6. (2012).
Transforming Biology Assessment with Machine Learning: Automated Scoring of Written Evolutionary Explanations. Journal of Science Educational Technology, 21(1). doi:10.1007/s10956-011-9300-9. (2012).
Applying Computerized-Scoring Models of Written Biological Explanations across Courses and Colleges: Prospects and Limitations. CBE Life Sciences Education, 10(4), 379-393. doi:10.1187/cbe.11-08-0081. (2011).
Comparative Efficacy of Two Computer-assisted Scoring Tools for Evolution Assessment. In National Association of Research in Science Teaching. presented at the April 3-6, 2011, Orlando, FL.. (2011).
Harnessing Technology to Improve Formative Assessment of Student Conceptions in STEM: Forging a National Network. CBE - Life Sciences Education, 10, 149-155. presented at the Summer. doi:10.1187/cbe.11-03-0019. (2011).