This paper describes a methodological study carried out between 2018 and 2022, at Rey Juan Carlos University, focused on the subject monitoring and control systems within a master's program in Industrial Engineering. The study proposes an innovative teaching strategy using problem‐based learning and project‐based learning methodologies. The projects undertaken are based on Internet of Things (IoT) systems aimed at enhancing weather stations, services and facilitating real‐time decision‐making. Inspired by our experience in the development of Industry 4.0 projects, we have designed a methodological strategy for this subject that focuses on providing students with the necessary knowledge and skills in the field of Control and Monitoring Systems and the IoT to develop real monitoring and control systems. The approach emphasizes interdisciplinary problem‐solving, with students working collaboratively in stable teams. Throughout the 16‐week course, tasks of increasing complexity are completed, resulting in the development of a complete system. The practical approach of the course and its relation to real applications motivates students, resulting in better performance. The acquired techniques and skills from the course are broadly applicable across engineering disciplines.

中文翻译：

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见解 4.0：通过基于问题的学习和基于项目的学习实现工业工程中的变革性学习

本文介绍了胡安卡洛斯国王大学 2018 年至 2022 年间进行的一项方法学研究，重点关注工业工程硕士课程中的监控系统主题。该研究提出了一种使用基于问题的学习和基于项目的学习方法的创新教学策略。所开展的项目基于物联网（IoT）系统，旨在增强气象站、服务并促进实时决策。受到我们在工业 4.0 项目开发经验的启发，我们为该学科设计了一种方法策略，重点是为学生提供控制和监测系统以及物联网领域必要的知识和技能，以开发真正的监测和控制系统。该方法强调跨学科解决问题，让学生在稳定的团队中协作。在为期 16 周的课程中，完成的任务越来越复杂，从而开发出一个完整的系统。该课程的实用方法及其与实际应用的关系激发了学生的积极性，从而取得更好的表现。从课程中获得的技术和技能广泛适用于整个工程学科。