Abstract

In this article, the idea of the universal learning system for embedded systems is presented. The proposed system provides a complete learning environment consisting of the information collection center, preference estimation system, Q&A center, forum, and virtual classroom. The skeleton of the proposed system is a preference estimation system, which helps users know the relationship between different hardware kits and suggests suitable hardware kits to users to learn embedded systems. Then, the proposed system provides the virtual classroom and Q&A service for users to start their classes. Besides, users can share design samples and experience, and join discussions through the forum of the proposed system. For demonstration, three embedded hardware platforms are introduced and applied by the proposed learning system. The results show that most students feel the proposed learning system can effectively help with their embedded software design.

Highlights

  • Due to the rapid development of electronic technology and requirements of electronic markets, electronic products tend to become smaller, faster, and more popular

  • The great diversity of electronic products and applications lead to inconvenience in education of embedded systems because it is difficult to learn all software design skills from the same embedded hardware platform

  • The purpose of the universal learning system is to help users select a suitable embedded hardware kits according to the requirements, and provide a friendly learning environment to users

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Summary

INTRODUCTION

Due to the rapid development of electronic technology and requirements of electronic markets, electronic products tend to become smaller, faster, and more popular. The great diversity of electronic products and applications lead to inconvenience in education of embedded systems because it is difficult to learn all software design skills from the same embedded hardware platform. The skeleton of the universal learning system is the preference estimation system, which helps users make comparisons and selections among different hardware kits. After a user selects the hardware kit to learn, he can take courses in the virtual classroom and search for relevant resources such as documents and design samples in the information collection center. A user can choose the hardware platform and take the course according to the suggestion of the preference estimation system. Three embedded hardware platforms are introduced and imported to the proposed system.

OVERVIEW OF THE UNIVERSAL LEARNING SYSTEM
PREFERENCE ESTIMATION SYSTEM
Feature Extraction
Dissimilarity Matrix
Multidimensional Scaling
CASE STUDY
Hardware Platforms
Preference Estimation
Course Design
Evaluation
Student Feedback
Findings
CONCLUSION
Full Text
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