Tool Based Teaching for Enhancing the learner Outcome in Digital Communication and Wireless Sensor Network Course: A Case Study

Abstract

This research article examines the integration of tool based teaching methodologies in a course on "Principles of Wireless Sensor Network, ML, and Cloud in Advanced Wireless Communication Systems," with a specific focus on MATLAB, Simulink, and LabVIEW. The study underscores the value of practical, hands-on learning using these advanced tools. It includes an in-depth analysis of the prerequisites necessary for the course, survey questions designed to assess student readiness and engagement, and the impact of MATLAB, Simulink, and LabVIEW on learning outcomes. The findings indicate that using these tools significantly enhances students' comprehension and application of Wireless Sensor Network, Machine Learning, and cloud technologies within the framework of advanced wireless communication systems.