Displaying results 1 - 8 of 8 (Go to Advanced Search)
Project
Description: In the present study, we conduct a meta-analysis of the PA-reading relationship for participants in African contexts.
Project
Description: Raw data files on test statistics of students in our SBL class of 2022.
Dataset
Part of Project: Preschool Social and Emotional Development Study
Description: These data are children ages 2 through 5, includes preschool, child, and family demographic characters, social and emotional skills, cognitive skills, early math, early reading, and other indicators of kindergarten readiness (e.g., approaches to learning). Data were collected via director child assessments and teacher report.
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.
Document
Part of Project: Preschool Social and Emotional Development Study
Description: This codebook accompanies the Preschool Social and Emotional Development Study—Connecticut Dataset.
Document Type: Codebook
Document
Part of Project: The within- and cross-language correlation between phonological awareness and reading in African contexts: a meta-analysis
Description: This document includes the protocol followed to screen abstracts for the project: "The within- and cross-language correlation between phonological awareness and reading in African contexts: a meta-analysis".
Document Type: Lab Procedures
Document
Part of Project: The within- and cross-language correlation between phonological awareness and reading in African contexts: a meta-analysis
Description: This document includes the protocol followed to screen full-texts for the project: "The within- and cross-language correlation between phonological awareness and reading in African contexts: a meta-analysis".
Document Type: Lab Procedures
Document
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.
Document Type: Journal Contribution