The purpose of this study was to examine the effects of using adapted science eBooks within shared reading on comprehension and task engagement of high school students with autism spectrum disorder (ASD). A grade-level science textbook was selected and converted into an eBook format, incorporating various visual and auditory features (e.g., text-to-speech, summarized sentences, highlighted keywords) and presented on an iPad. The shared reading intervention included before, during, and after reading strategies (i.e., pre-teaching target vocabulary words, sharing information, retelling), with direct instruction on locating literal information. The intervention effects on reading comprehension and task engagement were evaluated using a single-case multiple probe design. The results of this study indicated that all participants demonstrated improvements in reading comprehension. Despite the longer intervention sessions compared to the baseline, all participants exhibited similar or enhanced levels of task engagement during the intervention sessions. The findings of this study provide empirical evidence supporting the use of adapted eBooks within shared reading as a means to increase access to grade-level science texts for high school students with ASD while maintaining a high level of task engagement. This intervention holds promise for improving the learning outcomes for students with ASD in science content area.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s10803-024-06525-w | DOI Listing |
J Med Internet Res
January 2025
Graduate School of Health Science and Technology, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Background: Artificial intelligence (AI) social chatbots represent a major advancement in merging technology with mental health, offering benefits through natural and emotional communication. Unlike task-oriented chatbots, social chatbots build relationships and provide social support, which can positively impact mental health outcomes like loneliness and social anxiety. However, the specific effects and mechanisms through which these chatbots influence mental health remain underexplored.
View Article and Find Full Text PDFiScience
January 2025
Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX 77030, United States of America.
Speech production engages a distributed network of cortical and subcortical brain regions. The supplementary motor area (SMA) has long been thought to be a key hub in coordinating across these regions to initiate voluntary movements, including speech. We analyzed direct intracranial recordings from 115 patients with epilepsy as they articulated a single word in a subset of trials from a picture-naming task.
View Article and Find Full Text PDFBMJ Open
December 2024
Department of Gastroenterology, Ningbo Medical Centre Lihuili Hospital, Ningbo, Zhejiang, China.
Objective: To investigate the current level of physical activity (PA) and its influencing factors among patients with inflammatory bowel disease (IBD) in East China.
Design: Cross-sectional study.
Setting: Questionnaire survey recruiting from six tertiary referral hospitals in East China between October and December 2023.
JMIR Form Res
January 2025
The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Background: Singapore's large aging population poses significant challenges for the health care system in managing cognitive decline, underscoring the importance of identifying and implementing effective interventions. Cognitive training delivered remotely as a digital therapeutic (DTx) may serve as a scalable and accessible approach to overcoming these challenges. While previous studies indicate the potential of cognitive training as a promising solution for managing cognitive decline, understanding the attitudes and experiences of older adults toward using such DTx platforms remains relatively unexplored.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
ETH Zurich, Zurich, Switzerland.
Background: The escalating global scarcity of skilled health care professionals is a critical concern, further exacerbated by rising stress levels and clinician burnout rates. Artificial intelligence (AI) has surfaced as a potential resource to alleviate these challenges. Nevertheless, it is not taken for granted that AI will inevitably augment human performance, as ill-designed systems may inadvertently impose new burdens on health care workers, and implementation may be challenging.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!