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Project
Description: By leveraging technology, new knowledge will be gained on the linkage between teacher stress, teacher talk, teacher-student relationships, and pre-academic and social-emotional outcomes in Black and Latine students, paving the way for more efficacious interventions to reduce teacher stress.
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: Purpose: The special needs of young children (birth to 36 months) are not unidimensional. Early interventionists are challenged in developing interventions that fully address the needs of young children with developmental delays in multiple domains.
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.
