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Project
Description: In an attempt to bridge the opportunity gap that exists prior to schooling, understanding the specific activities, resources, and interactions that take place in the home that encourage higher academic achievement has become a primary concern in the field.
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: In this study, we wanted to explore the support networks of instructional supervisors of beginning special education teachers and those of rural special education teachers, and how these networks relate to intent-to-stay in the field as a coach or special education teachers. We collected data across two waves.
Dataset
Part of Project: Early Home Learning Environment
Description: These data are parent reports of survey questions about their beliefs and their children's home learning environments. Data are cross-sectional and include responses from parents with children ranging from 0 - 13 years of age.
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.
Document
Part of Project: Early Home Learning Environment
Description: This is the codebook accompanying the full EHLE data set. It includes descriptions of variables and data collection processes.
Document Type: Codebook
Document
Part of Project: Support networks for instructional supervisors and special education teachers
Description: This protocol shows all questions asked during the network survey data collection interviews. The protocol includes notes to proctors, and codebook with labels.
Document Type: Assessment Materials
Document
Part of Project: Support networks for instructional supervisors and special education teachers
Description: This document contains the definitions of the three types of support that were shared with participants.
Document Type: Other