The present pilot study outlines findings from a study that evaluated the efficacy of educational robots in enhancing children's cognitive skills and historical knowledge. Applying LEGO® Wedo 2.0, the study focused on typically developing nine-year-old students in a K-12 public school setting. The hypothesis posited that students using robotics…

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…

Educational robotics (ER) has the potential to be a novel approach to teaching geohazards such as earthquakes at the college level. ER, which provides learners with problem-solving settings, requires proficiency in content knowledge and practical application to address ill-defined problems, challenging learners to master problem-solving…

The aim in this study was to determine the effectiveness of STEM-based robotic coding education for primary school students in terms of their decision-making skills. Mixed method research was conducted. Pretest-posttest control group designs were used in the quantitative phase, and a case study was performed in the qualitative phase of the…

This study explores the impact of robotics activities on the creativity and problem-solving performances of secondary school students. The participants consisted of 10 students from a computer science class at a secondary school. The robotics activities utilized Lego Ev3 kits and incorporated reverse engineering principles. Data were gathered…

Learning interaction patterns is key to the explanation of learning outcomes. Different studies have reported the relationship between classroom process variables and learning outcomes in a traditional classroom setting. However, the advent of robotics and its attendant student-robot interaction moderated by students' mathematical ability is yet…

Aim/Purpose: This study aims to implement and evaluate a personalized digital learning environment (PDLE) that delivers differentiated instruction for enhancing computational thinking competencies through robotics education. Background: The background emphasizes the growing demand for computational thinking skills in the modern workforce and the…

Engineering and technology teachers have advocated using robotics and coding to cultivate students' computational thinking and problem-solving skills at PreK-12 levels. Understanding teachers' perceptions of how preschool children develop strategies and skills for engaging in robotics and coding activities is crucial for promoting the early use of…

This research, following a sequential mixed-methods design, delves into metacognitive control in problem solving among 5- to 6-year-olds, using two floor-robot environments. In an initial qualitative phase, 82 pupils participated in tasks in which they directed a floor robot to one of two targets, with the closer target requiring more cognitive…

The professional development of teachers is considered a central task of teacher training and therefore also for teaching technology education in an era of digitalization. The anchoring of technology and digital technologies is becoming a mandatory task in teaching especially due to curriculum requirements and an increasing importance of learning…

Computational thinking (CT) is a critical problem-solving skill that can help students be successful in school and the 21st-century workplace (Wing, 2006). This project builds on past research showing that educational robotics can be a useful and cost-effective means to teach CT to primary school students. Past research has not yet resolved…

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…

Computational thinking (CT) has gained considerable attention and in-depth discussion over the last two decades. Although the significance of CT has been highlighted, it could be challenging for educators to teach CT. Fortunately, adopting robots in education has been evidenced to be of benefit to promoting students' learning motivation, CT, and…

This research proposes the integration of robotic education and scenario-based learning (SBL) paradigm for teaching computational thinking (CT) to enhance the computational abilities of primary school students, based on digital innovation and a teaching assistant robot acceptance model. The sample group consisted of 532 primary school teachers and…

The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during…