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Breanne D. Yerkes; Christina M. Vanden Bosch der Nederlanden; Julie F. Beasley; Erin E. Hannon; Joel S. Snyder – Journal of Autism and Developmental Disorders, 2024
Purpose: Processing real-world sounds requires acoustic and higher-order semantic information. We tested the theory that individuals with autism spectrum disorder (ASD) show enhanced processing of acoustic features and impaired processing of semantic information. Methods: We used a change deafness task that required detection of speech and…
Descriptors: Acoustics, Semantics, Language Processing, Auditory Perception
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Leanne Bowler; Irene Lopatovska; Mark S. Rosin – Information and Learning Sciences, 2024
Purpose: The purpose of this study is to explore teen-adult dialogic interactions during the co-design of data literacy activities in order to determine the nature of teen thinking, their emotions, level of engagement, and the power of relationships between teens and adults in the context of data literacy. This study conceives of co-design as a…
Descriptors: Librarians, Adolescents, Language Patterns, Public Libraries
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Putu Aditya Antara; I Made Agus Wirawan; Putu Rahayu Ujianti; Made Vina Arie Paramita; Rendy Setyowahyudi; Ni Putu Sinta Dewi – International Journal of Language Education, 2024
The main objective of this study was to explore the effectiveness of combining Balinese Gamelan music with sensorimotor rhythm intervention in improving brain wave synchronization and language processing abilities in autistic children. This study used a qualitative method with an ethnographic case study approach to explore how the integration of…
Descriptors: Foreign Countries, Musical Instruments, Music Activities, Folk Culture
Irene Picton; Christina Clark – National Literacy Trust, 2024
Recent developments in technology have accelerated the influence of artificial intelligence (AI) on our lives. The National Literacy Trust is interested in exploring how such platforms might influence, and potentially redefine, what it means to be literate in the digital age. Based on data from more than 50,000 children and young people taking…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
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Tzu-Yu Tai; Howard Hao-Jan Chen – Computer Assisted Language Learning, 2024
English speaking is considered the most difficult and anxiety-provoking language skill for EFL learners due to lack of access to authentic language use, fear of making mistakes, and peers' negative comments. With automatic speech recognition and natural language processing, intelligent personal assistants (IPAs) have potential in foreign language…
Descriptors: English (Second Language), Speech Communication, English Language Learners, Anxiety