Displaying results 1 - 6 of 6 (Go to Advanced Search)
Project
Description: Data sharing is increasingly becoming a highly encouraged or required practice for any federally funded research projects. However, the uptake of these practices in the field of education science has been minimal.
Project
Description: Students are required to choose a stream in which they want to pursue their careers right from the beginning. This research examines the impact of having career guidance as early as 8th, 9th, or 10th grade on academic performance and programme satisfaction in undergraduate final-year students in India.
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: Impact of Early Career Guidance on Students' Academic Performance and Programme Satisfaction: A Comparative Study
Description: Undergraduate Students
Code
Part of Project: Education Researchers’ Beliefs and Barriers towards Data Sharing
Description: This is the code for analyses run for our study. This includes frequencies and descriptive statistics, chi-square tests, and ANOVAs.
Code Type: Analysis
Document
Part of Project: Education Researchers’ Beliefs and Barriers towards Data Sharing
Description: This codebook provides a description of each variable in our dataset and, when appropriate, provides the survey question the variable represents.
Document Type: Codebook
