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…

This research explores the impact of generative artificial intelligence (GenAI) on ideation and concept design of social robots capable of undertaking sustained long-duration human-robot interaction. The work reported here was developed between 2021 and 2024 through classroom teaching executed in four editions of 3-day project workshops involving…

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…

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: 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…

This article examines contemporary educational practices within the rapidly evolving landscape of Artificial Intelligence. We do so by analysing the relationship between artificiality and naturalness in education. Education, often characterized as a human and thus natural-historical phenomenon, now appears increasingly shaped by artificial…

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…

There is increasing interest in the use of artificial intelligence technologies, which have become a transformative force in the field of education, in educational fields that include subject areas that support lifelong learning, such as science and chemistry education. In this study, a systematic review was conducted on the use and effects of…

Amalgamating generative artificial intelligence (Gen AI), Bloom's taxonomy and critical thinking present a promising avenue to revolutionize assessment pedagogy and foster higher-order cognitive skills needed for learning autonomy in the domain of self-directed learning. Gen AI, a subset of artificial intelligence (AI), has emerged as a…

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…

Although robots' social behaviors are known for their capacity to facilitate learner-robot interaction for language learning, their application and effect have not been adequately explored. This study reviewed 59 empirical articles to examine the contexts and application of various social behaviors of robots for language learning, and conducted a…

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…