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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

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

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

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

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

Exploring Computerized Lexical Analysis to Predict Calibrated Peer Review Ratings of Student Writing in Chemistry

Kevin Haudek, Mark Urban-Lurain, Arlene Russell, 2013

Student writing reveals their heterogeneous thinking about the origin of genetic variation in populations

Luanna Prevost, Jennifer Knight, Michelle Smith, Mark Urban-Lurain, 2013

Using Computerized Lexical Analysis of Student Writing to Facilitate Just-in-Time-Teaching in Large Enrollment Biology Courses

Luanna Prevost, Kevin Haudek, Emily Norton-Henry, Matthew Berry, Mark Urban-Lurain, 2013

Using computerized lexical analysis of student writing to support just-in-time teaching in large enrollment STEM courses

Mark Urban-Lurain, Luanna Prevost, Kevin Haudek, Emily Norton-Henry, Matthew Berry, John Merrill, 2013

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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

 

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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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