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…

This study examines the factors influencing science teachers' intentions to adopt humanoid robots in educational settings. It employs the Unified Theory of Acceptance and Use of Technology 2 (UTAUT-2) and the Technology-Organization-Environment (TOE) framework as guiding theoretical models. By integrating UTAUT-2, which emphasizes individual…

Various technological devices, especially information communications technologies (ICTs), have become increasingly remarkable in higher education to help develop students' skills and qualifications. Considering this trend, supported by several academic theories, this paper proposes a breakthrough guidebook for universities and other scholastic…

Tailored support is crucial for deaf and hearing-impaired children to overcome learning difficulties, particularly during primary education. The absence of listening profoundly hinders the progression of the learning journey, as it plays a pivotal role in language acquisition. Employing assistive technology is one approach to address this issue in…

Interdisciplinary learning requires students to integrate knowledge and methods from different disciplines, prompting advanced skills development and knowledge construction by connecting diverse subjects. Artificial Intelligence (AI), with its rich information base and abilities to track learning and provide personalized support, has the potential…

In the field of educational robotics, it is important to understand the processes trough which child-robot interactions are established during play activities. In terms of socio-material characteristics, robots can vary widely, from more mechanical robots to more anthropomorphic ones. Research has shown that the degree of anthropomorphization of…

Background: The number of artificial intelligence (AI) literacy studies in K-12 education has recently increased, with most research focusing on primary and secondary education contexts. Little research focuses on AI literacy programs in early childhood education. Objectives: The aim of this mixed-methods study is to examine the feasibility of an…

Background: Based on the embodied cognition perspective, interdisciplinary hands-on learning combines several disciplines, such as science, technology, engineering and mathematics (STEM), to improve students' capacity to solve real-world problems. Despite the popularity of interdisciplinary hands-on learning, particularly the six-phase 6E model,…

The advent of the 4th Industrial Revolution era requires the creation of new value through convergence rather than piecemeal use of technology. In that sense, the convergence of AI's learning ability and IoT connectivity makes it possible to build a more intelligent and automated system. Therefore, AI education in preparation for the era of…

RobotReviewer is a tool for automatically assessing the risk of bias in randomized controlled trials, but there is limited evidence of its reliability. We evaluated the agreement between RobotReviewer and humans regarding the risk of bias assessment based on 1955 randomized controlled trials. The risk of bias in these trials was assessed via two…

In this research, we explore the use of storybooks as an educational tool for fostering a meaningful understanding of artificial intelligence (AI) technologies for children and consider how AI should be depicted in storybook narratives to achieve this. We present guidelines for the depiction of AI in narratives for four- to six-year-old children…

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…

Working collaboratively in groups can positively impact performance and student engagement. Intelligent social agents can provide a source of personalized support for students, and their benefits likely extend to collaborative settings, but it is difficult to determine how these agents should interact with students. Reinforcement learning (RL)…

Artificial Intelligence (AI) emerges as the development of computer systems and software that imitate human abilities and perform human-like tasks. Understanding what gifted students think about this system that includes deep cognitive abilities is considered important. Based on this premise, this study examines the perceptions of gifted students…

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…