Displaying results 1 - 8 of 8 (Go to Advanced Search)
Project
Description: The purpose of this project was to develop a small-group literacy intervention for kindergarteners who are at-risk for reading and writing difficulties.
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.
Dataset
Part of Project: Reading RULES! Kindergarten (RRK)
Description: These data are for teachers in the RRK study who were randomized to a treatment or control condition.
Dataset
Part of Project: Reading RULES! Kindergarten (RRK)
Description: Data for student participants including achievement data and demographics. Dataset is in wide format.
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: Reading RULES! Kindergarten (RRK)
Description: Codebook for teacher and student data.
Document Type: Codebook
