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Making connections: Can lexical analysis reveal students thinking about key genetics concepts?

Shauna Jones, Tammy Long, Kristen Kostelnik, Mark Urban-Lurain, 2011

Examining the Impact of Question Surface Features on Students Answers to Constructed Response Questions in Biology

Michele Weston, Kevin Haudek, Luanna Prevost, John Merrill, Mark Urban-Lurain, 2014

Moving Across Scales: Using Lexical Analysis to Reveal Student Reasoning about Photosynthesis

Casey Lyons, Shauna Jones, John Merrill, Mark Urban-Lurain, Kevin Haudek, 2011

Causality in Analogies Generated by Expert and Novice Geoscientists

Nicole Ladue, Duncan Sibley, Micah Goldwater, Julie Libarkin, Dedre Gentner, 2011

Analogical reasoning and global change literacy

Duncan Sibley, Dedre Gentner, Julie Libarkin, 2010

Applying Computerized-Scoring Models of Written Biological Explanations across Courses and Colleges: Prospects and Limitations

Minsu Ha, Ross Nehm, Mark Urban-Lurain, John Merrill, 2011

Understanding undergraduate students conceptions in science: Using lexical analysis software to analyze students constructed responses in biology

Rosa Moscarella, Mark Urban-Lurain, Brett Merritt, Tammy Long, Gail Richmond, John Merrill, Joyce Parker, Ronald Patterson, Christopher Wilson, 2008

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

Insight into student thinking in STEM: Lessons learned from lexical analysis of student writing

Mark Urban-Lurain, Rosa Moscarella, Kevin Haudek, Emma Giese, John Merrill, Duncan Sibley, 2010

Deciphering Student Ideas on Thermodynamics Using Computerized Lexical Analysis of Student Writing

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

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CREATE for STEM Institute
Michigan State University

620 Farm Lane | Room 115 Erickson Hall
East Lansing, MI 48824 | Phone: (517) 432-0816

 

Logo of the National Science Foundation

This material is based upon work supported by the National Science Foundation (DUE grants: 2013359, 1660643, 1561159, 1438739, 1323162, 1347740, 0736952 and 1022653). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the NSF.

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