AI Article Synopsis

  • This study examines how teachers implement communication strategies and augmentative and alternative communication (AAC) to support students with intellectual disabilities (ID) after receiving intervention training (AKKtiv ComPal).
  • Video observations before and after the intervention at four schools showed an increase in the use of communication boards and strategies that aid student interaction, although consistency in these practices varied among teachers and settings.
  • Factors such as classroom setup, teachers' prior experience with AAC, and student characteristics influenced how well strategies were applied, indicating a need for ongoing support and follow-up for better implementation.

Article Abstract

Background And Aims: Teachers serve as critical communication partners for students with intellectual disability (ID) who face communication difficulties. However, teachers may lack sufficient training in using communication partner strategies and augmentative and alternative communication (AAC) in the classroom. This study aimed to explore teacher application of a communication partner intervention (AKKtiv ComPal) in schools for students with ID.

Methods: Video observations were conducted at four schools during a teacher-led group activity at pre- and postintervention, with follow-up 7 months later, focusing on communication partner strategies and AAC use applied as a universal approach in the classroom. Differences and similarities in intervention application and contextual factors that may influence teacher application were investigated using a multiple case study approach, in which the four teachers and their contexts served as the four examined cases.

Results: All cases increased the access to communication boards in the classroom and used more augmented input and responsive strategies following intervention. Follow-up measures revealed variability in augmented input and sustained or more use of responsive strategies. Despite increased strategy use, access to communication boards remained inconsistent, and augmented input was used with variability across observation minutes. Influencing factors to teacher application seemed to be classroom setups (such as having a table), previous AAC skills, student characteristics, and postintervention efforts such as repeating the intervention or participating in follow-up sessions.

Conclusions: This study demonstrates that classroom teachers for students with ID can use augmented input and responsive strategies as a universal design approach in the classroom following the AKKtiv ComPal intervention. However, teachers may utilize the strategies somewhat differently, partly influenced by their contextual factors.

Implications: The findings suggest that while teachers for students with ID can successfully use communication partner strategies in the classroom, their use of augmented input should be nurtured over time to ensure sustained use and possibly improve consistency. Additionally, adapting to the physical environment of the classroom is crucial to optimize the application of these strategies.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11475093PMC
http://dx.doi.org/10.1177/23969415241290419DOI Listing

Publication Analysis

Top Keywords

augmented input
24
communication partner
20
responsive strategies
16
input responsive
12
partner strategies
12
teacher application
12
communication
10
strategies
9
schools students
8
students intellectual
8

Similar Publications

Neuronal ceroid lipofuscinosis type 2 (CLN2) is a rapidly progressive neurodegenerative disorder leading to premature mortality. Ambulatory CLN2 patients typically receive standard of care treatment through biweekly intracerebroventricular (ICV) enzyme replacement therapy (ERT) involving recombinant human tripeptidyl peptidase 1, known as cerliponase alfa (Brineura, Biomarin Pharmaceuticals). This study longitudinally assessed the impact of ICV cerliponase alfa ERT on gait, and postural control across a two-year span in two siblings diagnosed with atypical CLN2 disease.

View Article and Find Full Text PDF

Depth heterogeneity of lignin-degrading microbiome and organic carbon processing in mangrove sediments.

NPJ Biofilms Microbiomes

January 2025

School of Environmental Science and Engineering, Marine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory for Biocontrol, Sun Yat-sen University, 510006, Guangzhou, China.

Mangrove ecosystems are globally recognized for their blue carbon (C) sequestration capacity. Lignocellulosic detritus constitutes the primary C input to mangrove sediments, but the microbial processes involved in its bioprocessing remain unclear. Using lignocellulosic analysis and metagenomic sequencing across five 100-cm sediment cores, we found a high proportion of lignin (95.

View Article and Find Full Text PDF

qPRF: A system to accelerate population receptive field modeling.

Neuroimage

January 2025

Division of Arts and Sciences, NYU Shanghai, 567 West Yangsi Road, Pudong New District, 200124, Shanghai, China; Center for Neural Science, New York University, 4 Washington Place, NY, 10003, NY, USA; NYU-ECNU Institute of Brain and Cognitive Science, 3663 Zhongshan Road North, Putuo District, 200062, Shanghai, China. Electronic address:

BOLD response can be fitted using the population receptive field (PRF) model to reveal how visual input is represented on the cortex (Dumoulin and Wandell, 2008). Fitting the PRF model costs considerable time, often requiring days to analyze BOLD signals for a small cohort of subjects. We introduce the qPRF ("quick PRF"), a system for accelerated PRF modeling that reduced the computation time by a factor ¿1,000 without losing goodness-of-fit when compared to another widely available PRF modeling package (Kay et al.

View Article and Find Full Text PDF

Background: Large language models (LLMs) such as ChatGPT-4 (CG4) are proving to be valuable tools in the medical field, not only in facilitating administrative tasks, but in augmenting medical decision-making. LLMs have previously been tested for diagnostic accuracy with expert-generated questions and standardized test data. Among those studies, CG4 consistently outperformed alternative LLMs, including ChatGPT-3.

View Article and Find Full Text PDF

Dense Paraphrasing for multimodal dialogue interpretation.

Front Artif Intell

December 2024

Computer Science Department, Brandeis University, Waltham, MA, United States.

Multimodal dialogue involving multiple participants presents complex computational challenges, primarily due to the rich interplay of diverse communicative modalities including speech, gesture, action, and gaze. These modalities interact in complex ways that traditional dialogue systems often struggle to accurately track and interpret. To address these challenges, we extend the textual enrichment strategy of Dense Paraphrasing (DP), by translating each nonverbal modality into linguistic expressions.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!