Displaying results 1 - 10 of 10 (Go to Advanced Search)
Project
Description: This meta-analysis examined effects of intervention on the level and trend of text-writing sequences of students with disabilities and writing difficulties, in addition to potential moderating effects related to student demographics (i.e., disability status, age, gender, and race) and writing task (i.e., sentence, essay, and narrative).
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: Mentoring for clinical faculty in academic health centers offers numerous benefits; however, structured virtual mentoring remains understudied in this context.
Dataset
Part of Project: Writing Sequences of Students with Disabilities: A Review Contrasting Level and Trend Effects
Description: This meta-analysis examined effects of intervention on the level and trend of text-writing sequences of students with disabilities and writing difficulties, in addition to potential moderating effects related to student demographics (i.e., disability status, age, gender, and race) and writing task (i.e., sentence, essay, and narrative).
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: Mentorship Matters
Description: Data gathered from both mentors and mentees prior to program launch
Dataset
Part of Project: Mentorship Matters
Description: Survey data gathered from Mentorship Matters mentors and mentees who were participating at the program's mid-point.
Dataset
Part of Project: Mentorship Matters
Description: Survey data gathered from mentors and mentees after the conclusion of the Mentorship Matters program.
