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  • Douglas Fuchs
  • Courtney Koletar
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Sentence Context Effects on Word Processing Among School-Aged Children in Honduras
Description: Language processing accounts posit that spoken and written word predictability processes facilitate language comprehension, and prior research on contextual facilitation effects shows that individuals’ processing of a constrained word is faster and more accurate than that of an unconstrained word.
Investigators: Author 1, Author 2, Author 3
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Embedding Working Memory Training within Math Problem Solving
Description: Information for the broader "Embedding Working Memory Training within Math Problem Solving" project is described below.
Investigators: Lynn S. Fuchs, Douglas Fuchs, Sonya K. Sterba, Marcia A. Barnes, Pamela M. Seethaler, Paul Changas
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Vanderbilt University Learning Disabilities Innovation Hub: Word Problems, Language, & Comorbid Learning Disabilities
Description: The purpose of this Hub was to deepen insight into an understudied and vulnerable subset of students with learning disabilities (LD), students with comorbid difficulty across reading comprehension (RC) and word problem solving (WPS) and whether text structure intervention in one domain transfers to the other domain.
Investigators: Lynn S. Fuchs, Pamela M. Seethaler, Sonya K. Sterba, Douglas Fuchs, Laurie E. Cutting, Jeannette Mancilla-Martinez, BrittanyLee N. Martin
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Malate Dehydrogenase CURE Community
Description: Project Goals: The first goal will fill a CUREs gap by creating self-supporting and sustainable protein-centric CUREs. The second goal will use this protein-centric CUREs community to examine two critical aspects of a CURE: 1) the impact of the length of CUREs (course long CUREs (cCUREs) or shorter, modular
Investigators: John Ellis Bell, Jessica K. Bell, Joseph Provost, Sue Ellen DeChenne-Peters, John F. Rakus, Amy Parente, Tamara Mans, Rebecca Eddy, Nicole Galport, Courtney Koletar, Jing Zhang, Misty Kuhn, David Hecht, Michael Wolyniak, Kevin Callahan, Celeste Peterson, Betsy Martinez-Vaz, Kathryn Huisinga
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Improving the Academic Performance of First-Grade Students with Reading and Math Difficulty
Description: This study addresses first-grade students with comorbid difficulty across word reading and calculations. Students with comorbid difficulty are randomly assigned to 4 conditions, a control group, coordinated treatment across reading & math, reading-only treatment, & math-only treatment.
Investigators: Lynn S. Fuchs, Douglas Fuchs, Sonya K. Sterba, Marcia A. Barnes
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Comorbid Word Reading and Math Computation Difficulty at Start of First Grade
Part of Project: Improving the Academic Performance of First-Grade Students with Reading and Math Difficulty
Description: This data set includes teacher identification (nesting) variable, reading and math scores, cognitive scores, and demographics .
Investigators: Lynn S. Fuchs, Carol Hamlett, Douglas Fuchs, Eunsoo Cho, Marcia A. Barnes, Tuire Koponen, Daniel R. Espinas
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Working Memory Training and Math Students with MD at Pre Post Delayed Post
Part of Project: Embedding Working Memory Training within Math Problem Solving
Description: This file contains data associated with "Building Word-Problem Solving and Working Memory Capacity: A Randomized Controlled Trial Comparing Three Intervention Approaches," a publication in the Journal of Education Psychology (2022), 2022, Vol. 114, No. 7, 1633–1653.
Investigators: Lynn S. Fuchs, Douglas Fuchs, Sonya K. Sterba, Marcia A. Barnes, Pamela M. Seethaler, Paul Changas
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Follow-Along Classmates Working , Memory, Math, and Demographics at Pre and Post
Part of Project: Embedding Working Memory Training within Math Problem Solving
Description: This file contains data associated with "Building Word-Problem Solving and Working Memory Capacity: A Randomized Controlled Trial Comparing Three Intervention Approaches", a publication in the Journal of Education Psychology (2022), 2022, Vol. 114, No. 7, 1633–1653.
Investigators: Lynn S. Fuchs, Douglas Fuchs, Sonya K. Sterba, Marcia A. Barnes, Pamela M. Seethaler, Paul Changas
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3-Fidelity - Transfer between Reading Comprehension and Problem Solving
Part of Project: Vanderbilt University Learning Disabilities Innovation Hub: Word Problems, Language, & Comorbid Learning Disabilities
Description: This dataset includes the observations to determine the fidelity of implementation of the treatment conditions in the study.
Investigators: Lynn S. Fuchs, Pamela M. Seethaler, Sonya K. Sterba, Douglas Fuchs, Laurie E. Cutting, Jeannette Mancilla-Martinez, BrittanyLee N. Martin
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2-Classmates - Transfer between Reading Comprehension and Problem Solving
Part of Project: Vanderbilt University Learning Disabilities Innovation Hub: Word Problems, Language, & Comorbid Learning Disabilities
Description: Nesting variables, treatment condition, demographics, pretest and posttest reading and math variables, text-structure knowledge for classmates of second-grade children with comorbid learning difficulty
Investigators: Lynn S. Fuchs, Pamela M. Seethaler, Sonya K. Sterba, Douglas Fuchs, Laurie E. Cutting, Jeannette Mancilla-Martinez, BrittanyLee N. Martin
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1-Transfer between Reading Comprehension and Problem Solving
Part of Project: Vanderbilt University Learning Disabilities Innovation Hub: Word Problems, Language, & Comorbid Learning Disabilities
Description: Nesting variables, treatment condition, demographics, pretest and posttest reading and math variables, text-structure knowledge for second-grade children with comorbid learning difficulty .
Investigators: Lynn S. Fuchs, Pamela M. Seethaler, Sonya K. Sterba, Douglas Fuchs, Laurie E. Cutting, Jeannette Mancilla-Martinez, BrittanyLee N. Martin
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Baseline Working Memory as a Moderator of Working Memory Training and Word Problem Intervention Students on Posttest Working Memory and Posttest Math for Students with Math Difficulty
Part of Project: Embedding Working Memory Training within Math Problem Solving
Description: This file contains data associated with "Children’s Baseline Working Memory Moderates the Effects of Working Memory Training,” a paper submitted for publication by Lynn Fuchs, Sonya Sterba, Marcia Barnes, and Douglas Fuchs of Vanderbilt University.
Investigators: Lynn S. Fuchs, Douglas Fuchs, Sonya K. Sterba, Marcia A. Barnes
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TOSLS Student Data pre and post
Part of Project: Malate Dehydrogenase CURE Community
Description: This is the pre and post test TOSLS data for the undergraduate students in this project.
Investigators: Rebecca Eddy, Courtney Koletar, Nicole Galport, John Ellis Bell, Jessica K. Bell, Joseph Provost
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Student Retention and Graduation Data
Part of Project: Malate Dehydrogenase CURE Community
Description: This contains institutional data gathered from some of the participating institutions including GPA, retention, and graduation data.
Investigators: Rebecca Eddy, Courtney Koletar, Nicole Galport, John Ellis Bell, Jessica K. Bell, Joseph Provost
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Student STEM Interest Career Scale post - semester
Part of Project: Malate Dehydrogenase CURE Community
Description: This includes the variables from the STEM Career Interest Scale.
Investigators: Rebecca Eddy, Courtney Koletar, Nicole Galport, John Ellis Bell, Jessica K. Bell, Joseph Provost
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LCAS Student Data post-semester
Part of Project: Malate Dehydrogenase CURE Community
Description: This is the student data from the LCAS taken at the end of the semester.
Investigators: Rebecca Eddy, Courtney Koletar, Nicole Galport, John Ellis Bell, Jessica K. Bell, Joseph Provost
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CURE Elements Reported by Faculty
Part of Project: Malate Dehydrogenase CURE Community
Description: The faculty reported the CURE elements that were incorporated into their course after the semester was finished.
Investigators: Rebecca Eddy, Courtney Koletar, Nicole Galport, John Ellis Bell, Jessica K. Bell, Joseph Provost
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Data from Faculty CURE Survey Post-semester
Part of Project: Malate Dehydrogenase CURE Community
Description: This is the results of the faculty CURE survey given after the faculty taught the course.
Investigators: Rebecca Eddy, Courtney Koletar, Nicole Galport, John Ellis Bell, Jessica K. Bell, Joseph Provost
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EDAT Student Data for MCC CURE student dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: EDAT data from undergraduate students participating in a protein-centric CURE.
Investigators: Rebecca Eddy, Nicole Galport, Courtney Koletar, John Ellis Bell, Jessica K. Bell, Joseph Provost
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CURE Survey Pretest and Post-Test Student Data
Part of Project: Malate Dehydrogenase CURE Community
Description: Data are from ~1,500 undergraduate students participating in a protein-centric CURE across 19 institutions. This is the data from Lopatto's CURE survey.
Investigators: Rebecca Eddy, Courtney Koletar, Nicole Galport, John Ellis Bell, Jessica K. Bell, Joseph Provost
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