Displaying results 1 - 20 of 26 (Go to Advanced Search)
Project
Description: The analysis of narratives often accompanies comprehensive language assessments of students. While analyzing narratives can be time-consuming and labor-intensive, recent advances in large language models (LLMs) indicate that it may be possible to automate this process.
Project
Description: Information for the broader "Embedding Working Memory Training within Math Problem Solving" project is described below.
Project
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
Project
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.
Project
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.
Dataset
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 .
Dataset
Part of Project: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The tworaters data set was drawn randomly from the larger corpus of narrative language samples. These samples were scored by two raters for reliability purposes.
Dataset
Part of Project: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The training data set was drawn randomly from the larger corpus of narrative language samples.
Dataset
Part of Project: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The test data set was drawn randomly from the larger corpus of narrative language samples.
Dataset
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.
Dataset
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.
Dataset
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.
Dataset
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
Dataset
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.
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: This is the pre and post test TOSLS data for the undergraduate students in this project.
Dataset
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.
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: This includes the variables from the STEM Career Interest Scale.
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: This is the student data from the LCAS taken at the end of the semester.
Dataset
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.
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: This is the results of the faculty CURE survey given after the faculty taught the course.
