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Zunera Zahid; Sara Ali; Shehriyar Shariq; Yasar Ayaz; Noman Naseer; Irum Yaseen – Journal of Computer Assisted Learning, 2024
Background: This study presents a Robot-Inspired Computer-Assisted Adaptive Autism Therapy (RoboCA[supercript 3]T) focusing on improving joint attention and imitation skills of children with autism spectrum disorder (ASD). By harnessing the inherent affinity of children with ASD for robots and technology, RoboCA[superscript 3]T offers a…
Descriptors: Autism Spectrum Disorders, Children, Robotics, Assistive Technology
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Schiavo, Gianluca; Mana, Nadia; Mich, Ornella; Zancanaro, Massimo; Job, Remo – Journal of Computer Assisted Learning, 2021
The paper presents the design of an assistive reading tool that integrates read-aloud technology with eye tracking to regulate the speed of reading and support struggling readers in following the text while listening to it. The paper describes the design rationale of this approach, following the theory of auditory-visual integration, in terms of…
Descriptors: Attention, Reading Aloud to Others, Technology Uses in Education, Reading Comprehension
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Javora, Ondrej; Hannemann, Tereza; Volná, Kristina; Dechterenko, Filip; Tetourová, Tereza; Stárková, Tereza; Brom, Cyril – Journal of Computer Assisted Learning, 2021
The present study investigates affective-motivational, attention, and learning effects of unexplored emotional design manipulation: "Contextual animation" (animation of contextual elements) in multimedia learning game (MLGs) for children. Participants (N = 134; M[subscript age] = 9.25; Grades 3 and 4) learned either from an experimental…
Descriptors: Animation, Context Effect, Multimedia Materials, Instructional Materials