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Using automated analysis to assess middle school students competence with scientific argumentation

Christopher Wilson, Kevin Haudek, Jonathan Osborne, Zoë Bracey, Tina Cheuk, Brian Donovan, Molly Stuhlsatz, Marisol Santiago, Xiaoming Zhai, 2024

Applying machine learning in science assessment: a systematic review

Xiaoming Zhai, Yin Yue, James Pellegrino, Kevin Haudek, Lehong Shi, 2020

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

Using Lexical Analysis Software to Assess Student Writing in Statistics

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

Students' analogies as instructional and assessment tools in earth systems science

Emma Giese, Duncan Sibley, 2009

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

Human vs. Computer Diagnosis of Students Natural Selection

Ross Nehm, H. Haertig, 2012

The genetics concept assessment: A new concept inventory for gauging student understanding of genetics

Michelle Smith, William Wood, Jennifer Knight, 2008

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

Ross Nehm, Minsu Ha, Elijah Mayfield, 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

 

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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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