Displaying results 1 - 12 of 12 (Go to Advanced Search)
Project
Description: Information for the broader "Embedding Working Memory Training within Math Problem Solving" project is described below.
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: Embedding Working Memory Training within Math Problem Solving
Description: This file contains data associated with "Building Word-Problem Solving and Working Memory Capacity: A Randomized Controlled Trial Comparing Three Intervention Approaches", a publication in the Journal of Education Psychology (2022), 2022, Vol. 114, No. 7, 1633–1653.
Dataset
Part of Project: Embedding Working Memory Training within Math Problem Solving
Description: This file contains data associated with "Building Word-Problem Solving and Working Memory Capacity: A Randomized Controlled Trial Comparing Three Intervention Approaches," a publication in the Journal of Education Psychology (2022), 2022, Vol. 114, No. 7, 1633–1653.
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: National Project on Achievement in Twins
Description: This is the survey that was sent to NatPAT caregivers and twins in mid-summer 2022, focused on COVID-19 pandemic impacts on caregivers' and twin's lives.
Document
Part of Project: Embedding Working Memory Training within Math Problem Solving
Description: This document is the codebook for all data associated with the manuscript Building Word-Problem Solving and Working Memory Capacity: A Randomized Controlled Trial Comparing Three Intervention Approaches.
Document Type: Codebook
Document
Part of Project: Embedding Working Memory Training within Math Problem Solving
Description: Publication in the Journal of Education Psychology (2022), 2022, Vol. 114, No. 7, 1633–1653.
Document Type: Journal Contribution
Document
Part of Project: National Project on Achievement in Twins
Description: This document contains the codebook and all necessary information for the NatPAT COVID-19 Survey that was administered in mid-summer 2022.
Document Type: Codebook
Document
Part of Project: National Project on Achievement in Twins
Description: This document contains the codebook and all necessary information for the NatPAT COVID-19 Survey that was administered in mid-summer 2022.
Document Type: Codebook
