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Showing 1 to 15 of 69 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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Alison M. O'Connor; Jennifer Gongola; Kaila C. Bruer; Thomas D. Lyon; Angela D. Evans – Applied Cognitive Psychology, 2025
The accurate detection of children's truthful and dishonest reports is essential as children can serve as important providers of information. Research using automated facial coding and machine learning found that children who were asked to lie about an event were more likely to look surprised when hearing the first question during an interview…
Descriptors: Deception, Nonverbal Communication, Recognition (Psychology), Children
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Mayara S. Bianchim; Melitta A. McNarry; Alan R. Barker; Craig A. Williams; Sarah Denford; Lena Thia; Rachel Evans; Kelly A. Mackintosh – Measurement in Physical Education and Exercise Science, 2024
This study aimed to develop and validate machine learning models to predict intensities in children and adolescents with cystic fibrosis (CF) across different accelerometry brands and placements. Thirty-five children and adolescents with CF (11.6 ± 2.8 yrs; 15 girls) and 28 healthy youth (12.2 ± 2.7 yrs; 16 girls) performed six activities whilst…
Descriptors: Models, Prediction, Children, Adolescents
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Xu, Ying – Child Development Perspectives, 2023
Back-and-forth conversations with others are vital for children's development in the early years. While children's conversation partners have traditionally been their parents, teachers, and peers, recent advances in artificial intelligence have led to the introduction of machines that understand human speech and generate natural responses, and…
Descriptors: Artificial Intelligence, Man Machine Systems, Computer Mediated Communication, Educational Technology
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Ismaila Temitayo Sanusi; Kissinger Sunday; Solomon Sunday Oyelere; Jarkko Suhonen; Henriikka Vartiainen; Markku Tukiainen – Computer Science Education, 2024
Background and context: Researchers have been investigating ways to demystify machine learning for students from kindergarten to twelfth grade (K-12) levels. As little evidence can be found in the literature, there is a need for additional research to understand and facilitate the learning experience of children while also considering the African…
Descriptors: Artificial Intelligence, Foreign Countries, Elementary Secondary Education, Interaction
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Laura Iseut Lafrance St-Martin; Stéphane Villeneuve – Cogent Education, 2024
This paper presents the results of a systematic literature review concerning the actual and future uses of chatbots (artificial conversation agents) in youth bullying cases. The study found that while artificial intelligence is highly regarded as an interesting tool by researchers, the technology is not yet good enough to intervene in crisis…
Descriptors: Artificial Intelligence, Bullying, Children, Adolescents
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Tolulope Famaye; Oluwadara Abimbade; Oluwajoba Adisa – Journal of Interactive Learning Research, 2025
As Artificial Intelligence (AI) becomes integrated into daily life, children encounter it without understanding its mechanisms or ethics. This study examines a five-day online AI literacy workshop for children aged 7-11, focused on foundational knowledge, hands-on engagement, and critical thinking. Using a socio-constructivist framework, the…
Descriptors: Artificial Intelligence, Technological Literacy, Children, Workshops
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Jesennia Cárdenas-Cobo; Cristian Vidal-Silva; Lisett Arévalo; Magali Torres – Education and Information Technologies, 2024
The information society is part of current life, and algorithmic thinking and programming are relevant for everybody regardless of educational background. Today's world needs professionals with computing competencies from WEIRD (Western, Educated, Industrialized, Rich, and Democratic Societies) and non-WEIRD contexts. Traditional programming…
Descriptors: Programming, Skill Development, Competence, Artificial Intelligence
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Siqi Yi; Soo Young Rieh – Information and Learning Sciences, 2025
Purpose: This paper aims to critically review the intersection of searching and learning among children in the context of voice-based conversational agents (VCAs). This study presents the opportunities and challenges around reconfiguring current VCAs for children to facilitate human learning, generate diverse data to empower VCAs, and assess…
Descriptors: Literature Reviews, Children, Childrens Attitudes, Artificial Intelligence
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Kucirkova, Natalia; Gray, Sandra Leaton – Educational Theory, 2023
This essay explains how, from the theoretical perspective of Basil Bernstein's three "conditions for democracy," the current pedagogy of artificially intelligent personalized learning seems inadequate. Building on Bernstein's comprehensive work and more recent research concerned with personalized education, Natalia Kucirkova and Sandra…
Descriptors: Democratic Values, Citizenship, Artificial Intelligence, Individualized Instruction
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Zhao, Zhong; Zhu, Zhipeng; Zhang, Xiaobin; Tang, Haiming; Xing, Jiayi; Hu, Xinyao; Lu, Jianping; Qu, Xingda – Journal of Autism and Developmental Disorders, 2022
Our study investigated the feasibility of using head movement features to identify individuals with autism spectrum disorder (ASD). Children with ASD and typical development (TD) were required to answer ten yes--no questions, and they were encouraged to nod/shake head while doing so. The head rotation range (RR) and the amount of rotation per…
Descriptors: Autism, Pervasive Developmental Disorders, Motion, Human Body
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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
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Anna Trifonova; Mariela Destéfano; Mario Barajas – Digital Education Review, 2024
This article proposes a comprehensive AI curriculum tailored for young learners aged 11 to 14, emphasizing a humanistic approach. We review other AI curricula proposals for children and young people and underline that they focus primarily on AI's technological benefits and on learning coding and logic. Our curriculum explores human cognition that…
Descriptors: Artificial Intelligence, Cognitive Processes, Children, Constructivism (Learning)
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Fein, Benedikt; Graßl, Isabella; Beck, Florian; Fraser, Gordon – International Educational Data Mining Society, 2022
The recent trend of embedding source code for machine learning applications also enables new opportunities in learning analytics in programming education, but which code embedding approach is most suitable for learning analytics remains an open question. A common approach to embedding source code lies in extracting syntactic information from a…
Descriptors: Artificial Intelligence, Learning Analytics, Programming, Programming Languages
OECD Publishing, 2021
Artificial intelligence (AI) and robotics are major breakthrough technologies that are transforming the economy and society. The OECD's Artificial Intelligence and the Future of Skills (AIFS) project is developing a programme to assess the capabilities of AI and robotics, and their impact on education and work. This volume reports on the first…
Descriptors: Artificial Intelligence, Skill Development, Evaluation, Competence
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