text analysis | Beyond Multiple Choice

Automated Analysis Provides Insights into Students' Challenges Understanding the Processes Underlying the Flow of Genetic Information

Rosa Moscarella, Kevin Haudek, Jennifer Knight, Alexandria Mazur, Karen Pelletreau, Luanna Prevost, Michelle Smith, Matthew Steele, Mark Urban-Lurain, John Merrill, 2016

Comparative Efficacy of Two Computer-Assisted Scoring Tools for Evolution Assessment

Minsu Ha, Ross Nehm, 2011

Harnessing Technology to Improve Formative Assessment of Student Conceptions in STEM: Forging a National Network

Kevin Haudek, Jennifer Kaplan, Jennifer Knight, Tammy Long, John Merrill, Alan Munn, Ross Nehm, Michelle Smith, Mark Urban-Lurain, 2011

Automated Analysis Of Student Writing Reveals Student Thinking: An Innovative Assessment Methodology Built On Community Goals

Mark Urban-Lurain, 2011

Transforming Biology Assessment with Machine Learning: Automated Scoring of Written Evolutionary Explanations

Ross Nehm, Minsu Ha, Elijah Mayfield, 2012

How do biology undergraduates "explain" photosynthesis? Investigating student responses to different constructed response question stems

Michele Weston, Kevin Haudek, Luanna Prevost, Casey Lyons, Mark Urban-Lurain, John Merrill, 2012

Examining student constructed explanations of thermodynamics using lexical analysis

Luanna Prevost, Kevin Haudek, Mark Urban-Lurain, John Merrill, 2012

Comparing Formative Feedback Reports: Human and Automated Text Analysis of Constructed Response Questions in Biology

Michele Weston, Joyce Parker, Mark Urban-Lurain, 2013

Human vs. Computer Diagnosis of Students Natural Selection

Ross Nehm, H. Haertig, 2012

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