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Covariational reasoning and item context affect language in undergraduate mass balance written explanations

Megan Shiroda, Jennifer Doherty, Emily Scott, Kevin Haudek, 2023

Using Lexical Analysis Software to Assess Student Writing in Statistics

Jennifer Kaplan, Kevin Haudek, Minsu Ha, Neal Rogness, Diane Fisher, 2014

Computerized Lexical Analysis of Students Written Interpretations of Chemical Representations

Luanna Prevost, Kevin Haudek, Melanie Cooper, Mark Urban-Lurain, 2014

AACR III: Expanding a National Network for Automated Analysis of Constructed Response Assessments to Reveal Student Thinking in STEM

Mark Urban-Lurain, John Merrill, Melanie Cooper, Carl Lira, Kevin Haudek, 2014

Beyond multiple choice exams: Using computerized lexical analysis to understand students conceptual reasoning in STEM disciplines

Mark Urban-Lurain, Rosa Moscarella, Kevin Haudek, Emma Giese, Duncan Sibley, John Merrill, 2009

Beyond Multiple Choice: Developing Automated Analysis of Constructed Responses [Poster]

Kevin Haudek, Rosa Moscarella, Mark Urban-Lurain, John Merrill, 2010

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

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

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

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

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

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

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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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