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Shari Cavicchi; Abdulaziz Abubshait; Giulia Siri; Magda Mustile; Francesca Ciardo – Cognitive Research: Principles and Implications, 2025
Cognitive load occurs when the demands of a task surpass the available processing capacity, straining mental resources and potentially impairing performance efficiency, such as increasing the number of errors in a task. Owing to its ubiquity in real-world scenarios, the existence of offloading strategies to reduce cognitive load is not new to…
Descriptors: Robotics, Psychological Patterns, Cognitive Processes, Computer Software
Vasiliki Holeva; V. A. Nikopoulou; C. Lytridis; C. Bazinas; P. Kechayas; G. Sidiropoulos; M. Papadopoulou; M. D. Kerasidou; C. Karatsioras; N. Geronikola; G. A. Papakostas; V. G. Kaburlasos; A. Evangeliou – Journal of Autism and Developmental Disorders, 2024
Difficulties with social interaction characterise children with Autism Spectrum Disorders and have a negative impact in their everyday life. Integrating a social-humanoid robot within the standard clinical treatment has been proven promising. The main aim of this randomised controlled study was to evaluate the effectiveness of a robot-assisted…
Descriptors: Autism Spectrum Disorders, Children, Professional Personnel, Artificial Intelligence
Lewis J. Baker; Hongyue Li; Hugo Hammond; Christopher B. Jaeger; Anne Havard; Jonathan D. Lane; Caroline E. Harriott; Daniel T. Levin – Cognitive Research: Principles and Implications, 2024
As a wide variety of intelligent technologies become part of everyday life, researchers have explored how people conceptualize agents that in some ways act and think like living things but are clearly machines. Much of this work draws upon the idea that people readily default to generalizing human-like properties to such agents, and only pare back…
Descriptors: Cognitive Processes, Psychological Patterns, Abstract Reasoning, Attribution Theory
Jian-Wen Fang; Jing Chen; Xiao-Ge Guo; Qing-Ke Fu; Gwo-Jen Hwang; Yun-Fang Tu – Education and Information Technologies, 2025
Digital competence is an essential skill for pre-service teachers, and self-regulation is an important factor in this competence. However, lack of emotional support often affects development of students' digital competence. Therefore, an emotional support-embedded robot-based self-regulated learning (ES-RSRL) system was developed. This ES-RSRL…
Descriptors: Robotics, Technology Uses in Education, Independent Study, Electronic Learning
Segun Michael Ojetunde; Umesh Ramnarain – Smart Learning Environments, 2025
Learning interaction patterns is key to the explanation of learning outcomes. Different studies have reported the relationship between classroom process variables and learning outcomes in a traditional classroom setting. However, the advent of robotics and its attendant student-robot interaction moderated by students' mathematical ability is yet…
Descriptors: Robotics, Technology Uses in Education, Mathematics Skills, Outcomes of Education
Jun Chen Hsieh – RELC Journal: A Journal of Language Teaching and Research, 2024
Despite the increasing attention to technology-enhanced language learning in English-as-a-foreign-language contexts, investigation regarding the effects of multimodal technologies on affective factors (particularly emotions and grit) in digital storytelling has remained underexplored. Therefore, this mixed-methods study reports on…
Descriptors: Multimedia Materials, Story Telling, Second Language Learning, English (Second Language)