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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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Project
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Description: We will build out the comprehensive infrastructure (data integration, research products, training, and policy relevant recommendations) which is required to support informed and open-source use of the new US Report And Placement Integrated Data System (RAPIDS).
Investigators: Brett Drake, Hyunil Kim, Rebecca (Becky) Orsi-Hunt, Dana Hollinshead, PhD, MPA, John Fluke, Dylan Jones, Melissa Jonson-Reid, Eunhye Ahn, Rachel A Wilson
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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.
Investigators: Dr. Dwight Irvin, Dr. Ximena Franco-Jenkins, Dr. Brian Boyd, Dr. Nelson Brunsting, Dr. Christopher Redding, Dr. Laura Kuhn, Dr. John Hansen
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Dataset
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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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Document
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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: This document is a paper submitted to a Hindawi journal of education.
Investigators: Dr. Khemisara Kulmart, Ms. Parichat Muensita
Document Type: Journal Contribution
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