Efficient learning modules for embedded system

Abstract

In this paper, we propose an efficient three-module pedagogical system for embedded systems learning, which will provide students effective ways of learning embedded systems through basic concepts, current technology for hardware and software design, and team projects. The proposed pedagogical approach is based on the systematic learning through evidence-based teaching, knowledge mobilization, and research strategies. In our approach, it is recommended to use two platforms, µVision (simulator) and one microcontroller (hardware), such as Arduino or Raspberry Pi. Raspberry Pi is a small single-board computer, which can be used as a brain for innovative computing projects, such as network monitoring tool, at a reasonable cost. Arduino is the most popular microcontroller (based on the ATmega328), which is a flexible and easy-to-use device for conducting various embedded systems projects. Those platforms have been used for many embedded systems projects, including home automation, Internet of Things, robots, games, and servers. We evaluated our proposed three modules based on student performance and feedback. As a result, we conclude that the proposed modules work better than a traditional learning methodology.