A Study on the Impact of Teaching Internet-of-Things and Big Data Analytics to Electrical Engineering Students Using Emulation Software

The integration of the Internet of Things (IoT), big data, and machine learning (ML) is revolutionizing many engineering sectors. Thus, preparing electrical engineering stu-dents for this rapidly evolving technological landscape is crucial. However, there is currently a lack of practical, hands-on educational approaches in these domains. Therefore, this research aims to study the impact of a teaching approach that employs an emulation tool, providing a realistic interplay between IoT, big data, and ML on the learning experience of electrical engineering students. The impact is studied by conducting a survey comparing the students' knowledge and hands-on experience before and after engagement with the emulation tool. The survey findings indicate that this approach effectively enhances students' knowledge and enriches their learning experience.