Machine Learning Mixed Methods Text Analysis: An Illustration From Automated Scoring Models of Student Writing in Biology Education von Sripathi, Kamali N., Moscarella, Rosa A., Steele, Matthew, Yoho, Rachel, You, Hyesun, Prevost, Luanna B., Urban-Lurain, Mark, Merrill, John, Haudek, Kevin C.

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Automated Writing Assessments Measure Undergraduate Learning after Completion of a Computer-Based Cellular Respiration Tutorial von Uhl, Juli D, Sripathi, Kamali N, Meir, Eli, Merrill, John, Urban-Lurain, Mark, Haudek, Kevin C

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Mixed Student Ideas about Mechanisms of Human Weight Loss von Sripathi, Kamali N, Moscarella, Rosa A, Yoho, Rachel, You, Hye Sun, Urban-Lurain, Mark, Merrill, John, Haudek, Kevin

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Introductory biology undergraduate students' mixed ideas about genetic information flow von Uhl, Juli D., Sripathi, Kamali N., Saldanha, Jenifer N., Moscarella, Rosa A., Merrill, John, Urban‐Lurain, Mark, Haudek, Kevin C.

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Disparate HDV ribozyme crystal structures represent intermediates on a rugged free-energy landscape von Sripathi, Kamali N, Tay, Wendy W, Banáš, Pavel, Otyepka, Michal, Šponer, Jiří, Walter, Nils G

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Wobble pairs of the HDV ribozyme play specific roles in stabilization of active site dynamics von Sripathi, Kamali N, Banáš, Pavel, Réblová, Kamila, Šponer, Ji í, Otyepka, Michal, Walter, Nils G

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