Displaying results 1 - 10 of 10 (Go to Advanced Search)
Project
Description: Project Goals:
The first goal will fill a CUREs gap by creating self-supporting and sustainable protein-centric
CUREs. The second goal will use this protein-centric CUREs community to examine two critical
aspects of a CURE: 1) the impact of the length of CUREs (course long CUREs (cCUREs) or shorter, modular
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: Researchers will evaluate the impact of two theoretically distinct versions of an intervention called Developing Talkers (DT) that uses whole-group read alouds in kindergarten and Grade 1. DT is designed to improve teacher facilitation of academic language skills and the academic language skills of students.
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
