In recent years, there has been a growing interest in using robots within educational environments due to their potential to augment student engagement and motivation. However, current research has not adequately addressed the effectiveness of these robots in facilitating inclusive learning for diverse student populations, particularly those with…

Computational thinking (CT) has been supported as an important skill every young person should possess for the 21st century, with possible implications for problem-solving, self-expression, and creativity. Numerous initiatives, both within and outside classroom settings, have been developed in response to policy mandates aiming at broadening…

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…

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…

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…

This research focuses on student-robot interaction in the learning environment of robotics education (RE) and attempts to explore how it cultivates students' computational thinking (CT). Different from child-robot interactions as investigated in the social robot field, student-robot (S-R) interactions focus mainly on the process of interaction…

Technological advances have facilitated robots to perform a variety of human-like functions which have steered the interest of educators, researchers, and practitioners to discover the potential advantage of using robots as an intervention for individuals with autism spectrum disorder. Through meta-analysis, this study provides research-based…

This study employed a single factor experiment to investigate how different voices from a social robot affect the learning outcomes and motivation of 46 children. The learning motivation for the participants was measured using the ARCS questionnaire, which tested for four subcategories: attention, relevance, confidence, and satisfaction. The…

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…

Since a humanoid robot does not get tired regardless of how many mistakes a student makes, and because it can be equipped with novel teaching techniques and updated with the most current knowledge, it can be useful for achieving many educational goals. The rationale behind this is that it has been shown in the literature that robots are more…

Preparing students for dealing with a world more and more densely populated with physical machines that possess learning capabilities, e.g. intelligent robots, is of the utmost importance in engineering. In this paper, we describe and analyse a design of interactive sessions devoted to the application of some machine learning (ML) methods within a…

Independent studies in various settings indicate that interventions with Socially Assistive Robots, might help children with Autism Spectrum Disorder (ASD) to participate in activities that demand cooperation and communication skills. The purpose of this article is to present the benefits of robot assisted interventions in the development of…

Background: Scholars have analyzed the possibilities that robotics-centered learning programs offer, including opportunities for developing collaboratively and engaging in authentic STEM professional practice. This work adds a sociopolitical perspective, explicating a case of a newcomer to a robotics team that elucidates the nuances of…

This qualitative study explored the affordances provided by the integration of the NAO humanoid robot in three preschool classrooms. Using the Head Start Early Learning Outcomes Framework as a lens, the researchers qualitatively analyzed data from focus groups, observations, field notes and student artifacts, using grounded coding to uncover…

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…