The study aims to analyze the implementation of incorporating E-baby care in the servicelearning courses of colleges through the context of family education. The study applies qualitative research qualitative content analysis and interview and participant observation, supplemented by 260 questionnaire surveys, Structural Equation Model (SEM), and…

Teaching robotics courses online is challenging due to the complexity of the interdisciplinary topics involved. One of the most challenging topics is 3D coordinate transformations. Students often struggle to grasp the concept of 3D coordinate transformations and their relevance to real-world robotic applications. This paper applies the Scholarship…

Irruption of technologies in the educational context, specifically robotics has meant changes in the use of learning tools for students with ASD. In this sense, the inclusion of robots in intervention with these students allowed to design simpler and more controlled learning environments, adjusted to the needs of these students. From this line of…

No doubt exists that literacy and mathematics are the primary foci of early childhood education. Children have limited exposure to computer science-related topics, including robotics, coding, and engineering design. This study is based on prior research evidence indicating that early childhood teachers' confidence and competence can be enhanced…

Job opportunities in the United States are growing, but there are not enough interested or qualified workers to fill them. Artificial Intelligence (AI) is also transforming the future of work, bringing both innovation and uncertainty and emphasizing the growing need to equip students with adaptable, future-ready skills. This report advocates for…

This research delves into the transformative potential of humanoid robotics and artificial intelligence (AI) in the field of Teaching English to Speakers of Other Languages (TESOL), spotlighting their innovative contributions to modern language instruction. With a focus on robot-assisted language learning (RALL) and AI-powered tools, particularly…

When thinking of early childhood STEM, images of active, play-based design challenges, experiences with robotics/coding, or hands-on experiences with open-ended materials (e.g., balls, ramps, loose parts) often come to mind. While these are certainly images that align with developmentally appropriate early childhood STEM practices, some of the…

Novel technology has been applied to improve students' learning abilities in different disciplines. The research in this field is still finding suitable methodologies, tools, and evaluation mechanisms to devise learning frameworks with high impact on students' performance. This article describes an instructional method to perform Newtonian physics…

The current study aimed to investigate the relationship between middle school students' science course attitudes and robotics attitudes. To this end, the correlational survey model was used. The study group of the current study is comprised of 220 students attending middle schools in the 2019-2020 school year. In the study, the "Science…

Coding is increasingly recognized as a new literacy that should be encouraged at a young age. This understanding has recontextualized computer science as a compulsory school subject and has informed several developmentally appropriate approaches to computation, including for preschool children. This study focuses on the introduction of three…

Educational robots have been used in many countries as teaching assistants in elementary schools but robotic education quality is not well established in Thailand. The primary objective of this study was to identify and confirm quality dimensions in robotic education from the teachers' perspectives. The sample size was 510 teachers who were…

The purpose of this paper is twofold. We first present a methodological framework for the analysis of embodied interaction with technology captured through video recording. The framework brings together a social semiotic approach to multimodality with the philosophical and theoretical roots of embodied cognition. We then demonstrate the…

Digitization across the healthcare industry has witnessed the advent of emerging Cognitive Computing (CC) healthcare technologies that improve diagnostic accuracy and efficiency, predict illnesses, automate routine healthcare tasks, and refine processes and care beyond human capabilities. Increased adoption of this technology can be attributed to…

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…

Background: With the development of artificial intelligence (AI) technology, generative AI has been widely used in the field of education and represents a groundbreaking shift in overcoming the constraints of time and space within educational activities. However, previous literature has not paid enough attention to AI-involved teaching patterns,…