Displaying results 1 - 20 of 53 (Go to Advanced Search)
Project
Description: Raw data files on test statistics of students in our SBL class of 2022.
Project
Description: In this study, we wanted to explore the support networks of instructional coaches of beginning special education teachers and those of rural special education teachers, and how these networks relate to intent-to-stay in the field as a coach or special education teachers. We collected data across two waves.
Project
Description: Information for the broader "Embedding Working Memory Training within Math Problem Solving" project is described below.
Project
Description: In this study, we examined if data analytics gleaned from an online literacy application could inform teachers of student reading progress above and beyond their progress monitoring scores. Participants were all K-1 students in one elementary school in a southeastern state.
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.
Project
Description: This project page describes the creation of a latent reading score created by combining data across 12 datasets available on LDBase. This variable is the product of an Integrated Data Analysis (IDA) which was modeled using a multiple-group measurement model described below.
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.
Dataset
Part of Project: Project FOCUS: Exploring RTI Implementation with a Focus on Students Receiving Tier 3 and Special Education
Description: These are data from 1000 teachers and 77 administrators. Data include demographic variables on teachers, and their perceptions of RTI implementation in their school. This is a cross-sectional dataset.
Dataset
Part of Project: Project FOCUS: Exploring RTI Implementation with a Focus on Students Receiving Tier 3 and Special Education
Description: These are data from 65 school administrators.
Dataset
Part of Project: Support networks for instructional coaches and special education teachers
Description: These data are ties between alters in the network. These data are needed to visualize the complete network using ego and alter data as well.
Dataset
Part of Project: Support networks for instructional coaches and special education teachers
Description: These data contain perceived demographic data on named alters (by Ego) and perceived support provision. These data can be combined with Ego level data to make a nested set using key ID variables.
Dataset
Part of Project: Headsprout Data Analytics
Description: Data from the Headsprout data analytics project. This dataset includes student progress monitoring data (DIBELS, TOWRE, CELF), data analytics from their engagement in Headsprout, and information about their home literacy environment (UFLI Home Literacy survey.
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: 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 .
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: 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: 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: 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: Simulation Based Learning (SBL): an engineering course on Chao Phraya River’s salinity forecasting by Mathematical Modeling
Description: The dataset contains the raw data of various learning outcomes in our SBL engineering course in 2022.
