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Ana Ester Garcia de Paiva Pinheiro; Ana Regina Mizrahy Cuperschmid – Turkish Online Journal of Educational Technology - TOJET, 2025
The integration of Augmented Reality (AR) and Artificial Intelligence (AI) is a growing subject in the technological field, especially when applied to benefit assembly tasks. This paper presents a Systematic Literature Review to explore the benefits, challenges, methods and tools in the utilization of AR and AI to assembly tasks applications. The…
Descriptors: Computer Simulation, Artificial Intelligence, Technology Uses in Education, Technology Integration
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Marianne Mäntyoja; Johanna Hautala – Journal of Geography in Higher Education, 2025
This article addresses the need for empirical research comparing students' experiences of learning in different hybrid spaces in higher education that blend digital spaces, physical spaces and learning interactions. We focus on hybrid spaces formed around Zoom, non-immersive virtual reality (VR), and on-campus with a telepresence robot (TPR)…
Descriptors: Technology Uses in Education, College Students, Blended Learning, In Person Learning
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Maya Usher; Noga Reznik; Gilad Bronshtein; Dan Kohen-Vacs – Journal of Learning Analytics, 2025
Computational thinking (CT) is a critical 21st-century skill that equips undergraduate students to solve problems systematically and think algorithmically. A key component of CT is computational creativity, which enables students to generate novel solutions within programming constraints. Humanoid robots are increasingly explored as promising…
Descriptors: Computation, Thinking Skills, Creativity, Robotics
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Mohammad A. Beirat; Ahmad Algolaylat; Hussein Al Njadat; Bassam AlAbdallat; Alaa K. Al-Makhzoomy – Educational Process: International Journal, 2025
Background/purpose: This paper systematically reviews current advancements in AI-based diagnostic tools and assistive technologies, analyzing their influence on the early detection, treatment, and educational support of autism spectrum disorders (ASDs). The review aims to identify both the benefits and challenges of incorporating these…
Descriptors: Artificial Intelligence, Assistive Technology, Autism Spectrum Disorders, Clinical Diagnosis
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Liu Yifu; Ma Yan; Huang Libing; Xiao Chunling; Ding Tao – Education and Information Technologies, 2025
Interventions utilizing human-computer interaction (HCI) in autism rehabilitation have gained popularity, yet their efficacy has not been fully elucidated. This meta-analysis assessed 30 international studies from the past decade that employed HCIs for autism intervention. The findings revealed a moderate positive effect (g = 0.484) on improving…
Descriptors: Man Machine Systems, Interaction, Intervention, Autism Spectrum Disorders
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Ampawan Yindeemak; Thada Jantakoon; Rukthin Laoha – Higher Education Studies, 2025
This study aimed to design, develop, and validate the RSiSTEM framework, a robotics-based simulation learning model intended to foster students' problem-solving and systems thinking competencies within STEM education. The research followed a two-phase developmental design. In Phase 1, the framework was constructed through a systematic synthesis of…
Descriptors: Computer Simulation, Robotics, Technology Uses in Education, Problem Solving
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Yuqin Yang; Linbaiyu Chen; Wenmeng He; Daner Sun; Sdenka Zobeida Salas-Pilco – International Journal of Artificial Intelligence in Education, 2025
This paper provided a review of 210 studies on AI-enhanced special education from 2013 to 2023. Through bibliometric analysis, this review aimed to explore trends, focus areas, developments, and evolving themes of the field of AI for enhancing special education. Several noteworthy findings emerged from our analysis. The trend analysis of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Special Education, Trend Analysis
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Rafael Herrero-Álvarez; Rafael Arnay; Eduardo Segredo; Gara Miranda; Coromoto Leon – IEEE Transactions on Learning Technologies, 2025
RoblockLLy is an educational robotics simulator designed for primary and secondary school students, whose goal is to increase their interest in science, technology, engineering, and mathematics. In the particular case of computer science, it allows developing computational thinking skills. It has been designed with ease of use in mind. This free…
Descriptors: Secondary School Students, STEM Education, Computer Science Education, Robotics
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Dana Di Pardo Léon-Henri; Julien Henriet; Marie-Laure Betbeder; Françoise Greffier; Floran Carvalho – Teaching English with Technology, 2025
This research delves into the transformative potential of humanoid robotics and artificial intelligence (AI) in the field of Teaching English to Speakers of Other Languages (TESOL), spotlighting their innovative contributions to modern language instruction. With a focus on robot-assisted language learning (RALL) and AI-powered tools, particularly…
Descriptors: Artificial Intelligence, Robotics, Computer Software, Technology Integration
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Kyungbin Kwon; Thomas A. Brush; Keunjae Kim; Minhwi Seo – Journal of Educational Computing Research, 2025
This study examined the effects of embodied learning experiences on students' understanding of computational thinking (CT) concepts and their ability to solve CT problems. In a mixed-reality learning environment, students mapped CT concepts, such as sequencing and loops, onto their bodily movements. These movements were later applied to robot…
Descriptors: Thinking Skills, Computer Science Education, Robotics, Programming