Author(s)

Liwen Chen ¹

Affiliation(s)

¹ School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

Corresponding Author

Liwen Chen

ABSTRACT

With the rapid advancement of artificial intelligence (AI) technology, particularly the maturity of large language models, higher education models are undergoing profound transformation. Based on the core course "Signals and Linear Systems Analysis" in biomedical engineering, this paper explores the empowering practices of AI technology throughout the entire teaching process. By deeply integrating AI tools into three key stages—classroom instruction, after-class review, and learning assessment—the approach aims to enhance teaching efficiency, stimulate students' learning interest, and cultivate critical thinking skills along with the ability to properly use intelligent tools, which are essential in the AI era. Teaching practice demonstrates that this "AI-empowered" model can not only effectively assist instructors but also guide students to shift from passive knowledge acquisition to active exploration and knowledge construction, offering new insights for the reform of fundamental engineering courses.

KEYWORDS

AI Empowerment, Signals and Linear Systems Analysis, Teaching Reform, Critical Thinking, Personalized Learning

CITE THIS PAPER

Liwen Chen, Teaching Exploration of the "AI+ Signals and Linear Systems Analysis" Course. Curriculum and Teaching Methodology (2025) Vol. 8: 128-132. DOI: http://dx.doi.org/10.23977/curtm.2025.080818.

REFERENCES

[1] Zheng, J. (2011) Signals and Systems (Third Edition). Higher Education Press, Beijing.
[2] Higueras-Barrantes, J., Márquez-Jorge, R., de Sande, J. G., & Díaz-López, J. M. (2024) Signals and Systems Explained by Artificial Intelligence. EDULEARN24 Proceedings, pp. 8587-8593.
[3] Bordallo López, M. (2025) Evolving Pedagogy in Digital Signal Processing Education: AI-Assisted Review and Analysis. IEEE Access, 13, 45559-45567.

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