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Planey, James; Rajarathinam, Robin Jephthah; Mercier, Emma; Lindgren, Robb – International Journal of Computer-Supported Collaborative Learning, 2023
Extended reality technologies such as headset-based augmented reality (AR) unlock unique opportunities to integrate gestures into the collaborative problem-solving process. The following qualitative study documents the collection and analysis of group interaction data in an astronomy sky simulation across AR and tablet technologies in a classroom…
Descriptors: Nonverbal Communication, Assistive Technology, Cooperative Learning, Problem Solving
Caroline V. Bhowmik; Mitja D. Back; Steffen Nestler; Friedrich-Wilhelm Schrader – Social Psychology of Education: An International Journal, 2025
Which behavioral and visual information do teachers rely on when judging relevant characteristics of their students and which cues should they rely on? Drawing on Brunswik's Lens Model (Perception and the representative design of psychological experiments, University of California Press, 1956. https://doi-org.bibliotheek.ehb.be/10.1525/9780520350519), we…
Descriptors: Evaluative Thinking, Accuracy, Teacher Attitudes, College Students
Shamir, Adina; Tova, Oren; Horovitz, Shay; Munits, Nicole; Amon, Moris; Eden, Sigal – Communication Disorders Quarterly, 2023
This preliminary study aimed to examine improvement in eye contact among children with autism spectrum disorder (ASD) following an innovative technological intervention integrated with meta-cognitive guidance. Eighteen ASD participants, ages 5-9 years, were divided into two equal intervention groups--one received metacognitive guidance, and one…
Descriptors: Attention, Autism Spectrum Disorders, Nonverbal Communication, Young Children
Fountoukidou, Sofia; Matzat, Uwe; Ham, Jaap; Midden, Cees – Journal of Computer Assisted Learning, 2022
Background: Though pedagogical artificial agents are expected to play a crucial role in the years to come, earlier studies provide inconsistent results regarding their effect on learning. This might be because their potential for exhibiting subtle nonverbal behaviours we know from human teachers has been untapped. What is more, there is little…
Descriptors: Artificial Intelligence, Assistive Technology, Technology Uses in Education, Nonverbal Communication
Elizabeth Pierotti – ProQuest LLC, 2024
The process of spoken word recognition is influenced by both bottom-up sensory information and top-down cognitive information. These cues are used to process the phonological and semantic representations of speech. Several studies have used EEG/ERPs to study the neural mechanisms of children's spoken word recognition, but less is known about the…
Descriptors: Word Recognition, Cognitive Processes, Cues, Oral Language
Lancioni, Giulio E.; Singh, Nirbhay N.; O'Reilly, Mark F.; Sigafoos, Jeff; Alberti, Gloria; Campodonico, Francesca; Acquaviva, Giusy; Chiariello, Valeria; Desideri, Lorenzo – International Journal of Developmental Disabilities, 2022
Objectives: The present study evaluated a new smartphone-based program to help 12 participants with intellectual disability plus visual and motor impairments to self-regulate their stimulation input (thus avoiding their dependence on staff) through simple non-verbal responses. Method: Nonconcurrent multiple baseline designs across participants…
Descriptors: Telecommunications, Handheld Devices, Visual Impairments, Physical Disabilities
Avinash Mishra – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Thirty percent of children diagnosed with autism spectrum disorder (ASD) do not develop spoken language. To provide a means of communication for this subset of the population, augmentative and alternative communication (AAC) systems are often utilized. Low-tech options have traditionally been delivered through the in-person modality.…
Descriptors: Augmentative and Alternative Communication, Autism Spectrum Disorders, Students with Disabilities, Nonverbal Communication
A. Delcenserie; F. Genesee; F. Champoux – Developmental Science, 2024
Recent evidence suggests that deaf children with CIs exposed to nonnative sign language from hearing parents can attain age-appropriate vocabularies in both sign and spoken language. It remains to be explored whether deaf children with CIs who are exposed to early nonnative sign language, but only up to implantation, also benefit from this input…
Descriptors: Sign Language, Linguistic Input, Phonology, Nonverbal Communication
Klefbeck, Kamilla – Scandinavian Journal of Educational Research, 2023
Enabling functional communication is critical for accessibility in school and society for all pupils. This systematic review analyzed the results of educational studies on developing communication skills for learners ([less than or equal to]21 years) with autism spectrum disorder and comorbid intellectual disability. Systematic database searches…
Descriptors: Students with Disabilities, Autism Spectrum Disorders, Intellectual Disability, Comorbidity
Usree Bhattacharya; Wisnu A. Pradana – Journal of Early Childhood Literacy, 2024
This study tackles the question: how is literacy engagement enacted in the context of significant disability? We delve into the complex literacy practices of Kalika, a three-year-old child with Rett syndrome, a rare neurodevelopmental disorder, to elucidate how she engages with printed text. Rett syndrome leads to near total loss of verbal…
Descriptors: Severity (of Disability), Disabilities, Neurodevelopmental Disorders, Emergent Literacy
Dennison, Kim, Comp. – Ohio Coalition for the Education of Children with Disabilities, 2022
Sometimes parents just do not know where to begin once their child has been diagnosed as deaf or hearing impaired. This booklet helps answer some of the questions these parents might have. A resource section has been included for parents and professionals for future reference. One of the most important things to remember is that, once a child has…
Descriptors: Deafness, Hearing Impairments, Assistive Technology, Nonverbal Communication

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