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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.
Investigators: Willa van Dijk, Holly B. Lane
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Description: Raw data files on test statistics of students in our SBL class of 2022.
Investigators: Dr. Khemisara Kulmart, Ms. Parichat Muensita
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Dataset
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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.
Investigators: Willa van Dijk, Valentina Contesse, Rachel Kaplan, Nicollete Grasley-Boy, Danielle L. Pico
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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.
Investigators: Dr. Khemisara Kulmart
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