Although educational robotics competitions have become a popular research field in STEAM education, there is a lack of studies concerning the design process that student teams follow to build their solutions. This study aims to propose and evaluate We!Design!ForSTEAM, an approach for supporting design thinking in the context of STEAM and robotics…

This study delved into the impact of educational robotics, virtual coding, and unplugged coding on the problem-solving, computational thinking (CT), and coding skills of English as a Foreign Language (EFL) learners. Employing a pretest-posttest experimental design, the study encompassed 351 EFL students distributed across four groups to compare…

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…

This article aims to characterise geometric and computational thinking of future Early Childhood Education teachers through participating in a robotic problem-solving activity for 5-year-old pupils using MatataBot, MatataLab's educational robot. The study, carried out during academic year 2022-2023, involved 42 early childhood education students…

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…

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…

Computational thinking (CT) is a critical 21st-century skill that equips undergraduate students to solve problems systematically and think algorithmically. A key component of CT is computational creativity, which enables students to generate novel solutions within programming constraints. Humanoid robots are increasingly explored as promising…

Background/purpose: Rapid developments in educational technology have led to the emergence of educational robots that serve as interactive tools aimed at enhancing active learning and stimulating students' thinking and problem-solving skills. The study aimed to evaluate teachers' perspectives on the use of educational robots in teaching…

In elementary school classrooms, Computational Thinking (CT) teaching often is embedded in problem- or project-based pedagogies and involves programming using Educational Robotics. Little is known, however, about how children solve problems in these contexts, and how task designs influence which CT and problem-solving processes they apply. In this…

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…

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…

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…

This study aimed to design, develop, and validate the RSiSTEM framework, a robotics-based simulation learning model intended to foster students' problem-solving and systems thinking competencies within STEM education. The research followed a two-phase developmental design. In Phase 1, the framework was constructed through a systematic synthesis of…

This study aims to understand students' views on project development in coding and robotics courses. Focusing on student study groups in this field seeks to provide a broad view using qualitative and quantitative methods. The study group consists of students taking the coding and robotics course. A semi-structured interview form developed by the…