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Showing 1 to 15 of 18 results Save | Export
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Na Zhang; Jinghan Xu; Xifeng Zhang; Yifang Wang – Education and Information Technologies, 2024
The presence of social robots in children's daily environments has steadily increased. With the advancement of artificial intelligence (AI), social robots have influenced children's learning and development. This study innovatively utilized the Web of Science database and conducted a bibliometric analysis of 517 publications on social robots…
Descriptors: Robotics, Interaction, Artificial Intelligence, Bibliometrics
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Lu, Yu; Chen, Chen; Chen, Penghe; Yu, Shengquan – IEEE Transactions on Learning Technologies, 2023
In comparison to children and young students, adult learners usually exhibit more complex learning behaviors and psychological needs during the learning process. Designing social robots for adult learners has, thus, been a challenging task and a far less explored area, and it requires the great efforts from both technical and theoretical…
Descriptors: Adults, Adult Learning, Robotics, Artificial Intelligence
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Victor K. Y. Chan – International Association for Development of the Information Society, 2024
This article seeks to explore the convergent validity of (and thus the consistency between) a few popular generative artificial intelligence (AI) robots in evaluating popular mobile learning apps' usability. The three robots adopted in the study were Microsoft Copilot, Google PaLM, and Meta Llama, which were individually instructed to accord…
Descriptors: Computer Oriented Programs, Handheld Devices, Telecommunications, Usability
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George Kalmpourtzis; Margarida Romero – Interactive Learning Environments, 2024
Taking into account the profound impact of technology on modern education, especially during the COVID-19 pandemic, increasing academic interest has focused towards the design and application of such tools on different learning contexts. A specific area of Human-Computer Interaction, called affordance theory, focuses on the perception, design and…
Descriptors: Robotics, Artificial Intelligence, Computer Software, Teaching Methods
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Jiahong Su; Weipeng Yang – ECNU Review of Education, 2024
Purpose: To align with the artificial intelligence and robotics (AIR) research and policy agenda, this paper puts forth an adapted five big ideas framework specifically tailored to teaching young children about artificial intelligence (AI) via robotics. Design/Approach/Methods: Grounded in early childhood education research, the proposed framework…
Descriptors: Artificial Intelligence, Robotics, Young Children, Integrated Curriculum
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Sonderegger, Stefan – International Association for Development of the Information Society, 2022
The use of social robots in education is a growing area of research and the potential future applications are various. However, the conversational models behind current social robots and chatbot systems often rely on rule-based and retrieval-based methods. This limits the social robot to predefined responses and topics, thus hindering it from…
Descriptors: Robotics, Teaching Methods, Learning Processes, Models
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Kerimbayev, Nurassyl; Beisov, Nurbol; Kovtun, ?natoly; Nurym, Nurdaulet; Akramova, Aliya – Education and Information Technologies, 2020
Nowadays robotics is one of promising avenues in the sphere of emerging technologies. In the teaching/learning environment we deal with educational robotics, which is a mixture of theory and practice, knowledge of computer technology, Mathematics and Physics. The two vectors are combined in educational robotics: the educational vector and the…
Descriptors: Robotics, Technology Uses in Education, Educational Technology, Interdisciplinary Approach
Julia Cambre; Chinmay Kulkarni – Grantee Submission, 2019
When a smart device talks, what should its voice sound like? Voice-enabled devices are becoming a ubiquitous presence in our everyday lives. Simultaneously, speech synthesis technology is rapidly improving, making it possible to generate increasingly varied and realistic computerized voices. Despite the flexibility and richness of expression that…
Descriptors: Assistive Technology, Speech Communication, Computer Use, Man Machine Systems
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Pelzer, Elena; Turner, Benjamin O. – Communication Teacher, 2022
With the increase in demand for online learning, machine teachers are becoming an important technology in higher education, since they are expected to improve teaching effectiveness and student learning outcomes. However, machine teachers require an aptitude for technology and are associated with high initial costs. Thus, here, we use a more basal…
Descriptors: Electronic Learning, Technology Uses in Education, Interaction, In Person Learning
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Kewalramani, Sarika; Kidman, Gillian; Palaiologou, Ioanna – European Early Childhood Education Research Journal, 2021
This study explores the use of interactive Artificial Intelligence (AI)-interfaced robotic toys within early childhood (EC) settings to develop children's inquiry literacy. Arguments about the appropriate role of AI in EC education have received much attention when examining the potential of the integration of technology into children's play and…
Descriptors: Artificial Intelligence, Robotics, Toys, Play
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Edwards, Chad; Edwards, Autumn; Spence, Patric R.; Lin, Xialing – Communication Education, 2018
Human-machine communication has emerged as a new relational context of education and should become a priority for instructional scholarship in the coming years. With artificial intelligence and robots offering personalized instruction, teachers' roles may shift toward overseers who design and select machine-led instruction, monitor student…
Descriptors: Artificial Intelligence, Robotics, Teaching Methods, Teacher Role
Galatas, Georgios – ProQuest LLC, 2013
An Ambient Intelligence Environment is meant to sense and respond to the presence of people, using its embedded technology. In order to effectively sense the activities and intentions of its inhabitants, such an environment needs to utilize information captured from multiple sensors and modalities. By doing so, the interaction becomes more natural…
Descriptors: Speech, Robotics, Artificial Intelligence, Environment
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Vu, Phu; Fredrickson, Scott; Meyer, Richard – Online Journal of Distance Learning Administration, 2016
With a dearth of research on human-robot interaction in education and relatively high non-completion rates of online students, this study was conducted to determine the feasibility of using a virtual assistant (VA) to respond to questions and concerns of students and provide 24/7 online course content support. During a 16 week-long academic…
Descriptors: Electronic Learning, Robotics, Online Courses, Feasibility Studies
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Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
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Hsiao, Hsien-Sheng; Chang, Cheng-Sian; Lin, Chien-Yu; Hsu, Hsiu-Ling – Interactive Learning Environments, 2015
This study focused on an intelligent robot which was viewed as a language teaching/learning tool to improve children's reading ability, reading interest, and learning behavior. The iRobiQ, with its multimedia contents, was employed to encourage children to read, speak, and answer questions. Fifty-seven pre-kindergarteners participated in this…
Descriptors: Robotics, Artificial Intelligence, Teaching Methods, Reading Ability
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