Embedded Systems Education in the 2020s: Challenges, Reflections, and Future Directions
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Abstract (arXiv)
Embedded computing systems are pervasive in our everyday lives, imparting digital intelligence to a variety of electronic platforms used in our vehicles, smart appliances, wearables, mobile devices, and computers. The need to train the next generation of embedded systems designers and engineers with relevant skills across hardware, software, and their co-design remains pressing today. This paper describes the evolution of embedded systems education over the past two decades and challenges facing the designers and instructors of embedded systems curricula in the 2020s. Reflections from over a decade of teaching the design of embedded computing systems are presented, with insights on strategies that show promise to address these challenges. Lastly, some important future directions in embedded systems education are highlighted.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 May 2022.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 1.
4 papers.
- 2023Exploring and Characterizing Large Language Models For Embedded System Development and Debuggingcited by 20
- 2025EmbedAgent: Benchmarking Large Language Models in Embedded System Developmentcited by 5
- 2024LLM-aided explanations of EDA synthesis errorscited by 3
- 2022AI Ethics in Smart Healthcarecited by 0
- 2025EmbedAgent: Benchmarking Large Language Models in Embedded System Development19 Apr 2025
- 2024LLM-aided explanations of EDA synthesis errors7 Apr 2024
- 2023Exploring and Characterizing Large Language Models For Embedded System Development and Debugging7 Jul 2023
- 2022AI Ethics in Smart Healthcare2 Nov 2022