Displaying results 1 - 9 of 9 (Go to Advanced Search)
Project
Description: The purpose of this IES-funded project (#R305A180293, PI = Bailey) was to evaluate the efficacy of Preschool RULER, an approach to social and emotional learning focused on young children and the key adults in their lives (https://rulerapproach.org).
Project
Description: The analysis of narratives often accompanies comprehensive language assessments of students. While analyzing narratives can be time-consuming and labor-intensive, recent advances in large language models (LLMs) indicate that it may be possible to automate this process.
Project
Description: This project is a research study which had a goal of discovering the correlation between internet addiction, introversion, and loneliness. A survey exercise was carried out targeting vocational college students in Chongqing City where questionnaires were randomly administered to 150 students, male and female aged 18 and above.
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: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The test data set was drawn randomly from the larger corpus of narrative language samples.
Dataset
Part of Project: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The training data set was drawn randomly from the larger corpus of narrative language samples.
Dataset
Part of Project: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The tworaters data set was drawn randomly from the larger corpus of narrative language samples. These samples were scored by two raters for reliability purposes.
Dataset
Part of Project: Internet Addiction, Introversion and Loneliness: A Study of Chinese Vocational College Students
Description: This data is vocational college students, male and female, located in Chongqing City, China, and has internet addiction, Introversion and loneliness variables
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
