This article explores the integration of digital technologies in education, emphasizing the importance of robotics and computational thinking in the development of Science, Technology, Engineering and Mathematics (STEM) skills. In the context of Industry 4.0 and Education 4.0, the usefulness of platforms such as Arduino is highlighted, which allow students to engage in practical and affordable projects to develop critical skills. An illustrative example of this application is the project of a robotic explorer equipped with an Arduino board and a humidity sensor, designed to detect areas with higher humidity, simulating the search for water in a controlled environment. This type of project allows students to program a robot that responds to stimuli from the environment, promoting active and practical learning. The integration of artificial intelligence into educational robotics projects significantly enhances the robot’s capabilities, optimizing both its autonomy and decision-making processes. This advancement presents an opportunity to incorporate and develop aspects of social robotics, fostering collaborative interactions between students and robotic systems. Through advanced techniques such as reinforcement learning, the robot learns to improve its trajectory and dynamically adjust the humidity threshold detected according to environmental conditions. Furthermore, the use of multiple sensors alongside artificial intelligence (AI) algorithms enables the robot to correlate data and make more accurate predictions, thereby increasing its efficiency. The article concludes that educational robotics and AI are essential to preparing students for the future, equipping them with analytical and practical skills needed in a rapidly evolving digital environment, and promoting a deep understanding of how technology can be applied to solve real-world problems.

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Integrating Arduino and Artificial Intelligence in STEM Education

  • Óscar Bedoya-Cano,
  • José-Antonio Marín-Marín,
  • Jesús López-Belmonte

摘要

This article explores the integration of digital technologies in education, emphasizing the importance of robotics and computational thinking in the development of Science, Technology, Engineering and Mathematics (STEM) skills. In the context of Industry 4.0 and Education 4.0, the usefulness of platforms such as Arduino is highlighted, which allow students to engage in practical and affordable projects to develop critical skills. An illustrative example of this application is the project of a robotic explorer equipped with an Arduino board and a humidity sensor, designed to detect areas with higher humidity, simulating the search for water in a controlled environment. This type of project allows students to program a robot that responds to stimuli from the environment, promoting active and practical learning. The integration of artificial intelligence into educational robotics projects significantly enhances the robot’s capabilities, optimizing both its autonomy and decision-making processes. This advancement presents an opportunity to incorporate and develop aspects of social robotics, fostering collaborative interactions between students and robotic systems. Through advanced techniques such as reinforcement learning, the robot learns to improve its trajectory and dynamically adjust the humidity threshold detected according to environmental conditions. Furthermore, the use of multiple sensors alongside artificial intelligence (AI) algorithms enables the robot to correlate data and make more accurate predictions, thereby increasing its efficiency. The article concludes that educational robotics and AI are essential to preparing students for the future, equipping them with analytical and practical skills needed in a rapidly evolving digital environment, and promoting a deep understanding of how technology can be applied to solve real-world problems.