Displaying results 1 - 12 of 12 (Go to Advanced Search)
Project
Description: The purpose of this scoping review to provide a rigorous – and accessible – overview of the research base for universal behavior screening instruments to facilitate educators’ decision-making process when selecting a systematic screening tool for the students they serve and identify areas of further refinement for the research community.
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: In research, augmentative and alternative communication (AAC) interventions have primarily focused on teaching children to make requests (Logan et al., 2017); however, AAC intervention should not stop there.
Project
Description: Purpose: The special needs of young children (birth to 36 months) are not unidimensional. Early interventionists are challenged in developing interventions that fully address the needs of young children with developmental delays in multiple domains.
Dataset
Part of Project: Mapping the Research Base for Universal Behavior Screeners
Description: This database includes a of summary findings from 180 articles examining psychometric properties behavior screening tools administered universally which are summarized in the article "Mapping the Research Base for Universal Behavior Screeners".
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: AAC Narrative Intervention for Children with Autism
Description: These are the data for story grammar scores and number of different symbols used that resulted from the AAC narrative intervention. They are organized according to multiple baseline across participants design and pseudonyms are used instead of children's names.
Person
Description: Dr. Spencer is the director of Juniper Gardens Children's Project and professor at the University of Kansas. She is affiliated with the Applied Behavioral Science and Speech-Language-Hearing Sciences departments.
Person
Other Publishing Name(s):
Description: Kathleen Lynne Lane is a Roy A. Roberts Distinguished Professor in the Department of Special Education at the University of Kansas and Associate Vice Chancellor for Research. Dr.
