Displaying results 1 - 9 of 9 (Go to Advanced Search)
Project
Description: Language processing accounts posit that spoken and written word predictability processes facilitate language comprehension, and prior research on contextual facilitation effects shows that individuals’ processing of a constrained word is faster and more accurate than that of an unconstrained word.
Project
Description: We will build out the comprehensive infrastructure (data integration, research products, training, and policy relevant recommendations) which is required to support informed and open-source use of the new US Report And Placement Integrated Data System (RAPIDS).
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: 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.
Code
Part of Project: Sentence Context Effects on Word Processing Among School-Aged Children in Honduras
Description: This SPSS code takes the raw data posted as "SCE_Data".
Code Type: Analysis
Document
Part of Project: Building Infrastructure and Training Tools to Understand CPS Involvement and Trajectories: An Open-Source Approach
Description: National individual-level longitudinal data: Compiling report records and foster care records spanning from 2005 to 2021.
Document Type: Other
Document
Part of Project: Building Infrastructure and Training Tools to Understand CPS Involvement and Trajectories: An Open-Source Approach
Description: National county-level longitudinal data: Linking report records and census data covering the period from 2007 to 2019.
GETTING STARTED WITH RAPIDS
Document Type: Other
