Research and Practice on an Intelligent Teaching Model for Control System Simulation Courses Empowered by Artificial Intelligence

Chonglin Gu; Xiaoyue Cao

doi:10.54691/hhv00e49

Authors

Chonglin Gu
Xiaoyue Cao

DOI:

https://doi.org/10.54691/hhv00e49

Keywords:

Artificial Intelligence; Simulation; Project-Based Learning; Control Systems.

Abstract

Amidst the rapid advancement of artificial intelligence technology, the education sector is undergoing profound digital transformation. As a core discipline within automation studies, the traditional teaching approach for control system simulation courses has become inadequate in meeting the demands of the intelligent era for versatile, innovative talent. This research endeavors to explore the deep integration of artificial intelligence technology with control system simulation courses. It constructs a novel smart teaching PBL (Project-Based Learning) model centered on ‘AI-driven + intelligent algorithms + simulation collaboration’. This aims to enhance students' practical capabilities and innovative thinking, thereby forging new pathways for the high-quality development of engineering education.

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References

[1] Zeng-Hui T U , Liu M , Jian-Chun X U ,et al.Research on the Higher Education Teaching Service Systems Empowered by Digital Intelligence--Taking Huazhong University of Science and Technology as an Example[J].Modern Educational Technology, 2025, 35(4):129-136.

[2] Ying L I .Innovation and Practice of Efficient English Teaching Models Empowered by Artificial Intelligence[J].Studies in Literature and Language, 2024, 29(1):6.

[3] Zhang C L , Yang Y .Research on the Design and Practice of Artificial Intelligence Curriculum for Middle Schools Under the Background of New Curriculum Standard[J].2024 6th International Conference on Computer Science and Technologies in Education (CSTE), 2024:269-274.

[4] Pan L .Study of Methods for Constructing Intelligent Learning Models Supported by Artificial Intelligence[J].EAI Endorsed Transactions on Scalable Information Systems, 2024, 11(2).

[5] Li N , Chen Q , Liu M ,et al.Research on the Application of ChatGPT Technology in Landscape Ecology Teaching [J].Open Journal of Social Sciences, 2025, 13(4).

[6] Sriram A , Ramachandran K , Krishnamoorthy S .Artificial Intelligence in Medical Education: Transforming Learning and Practice[J].Cureus, 2025, 17(3):e80852-e80852.

[7] Habibi M W , Asto Buditjahjanto I G P , Rijanto T .Fostering and Developing Computational Thinking in Vocational High School through Project-Based Learning (PBL)[J].TEM Journal, 2025, 14(2).

[8] Guerra A , Jiang D , Du X ,et al.Examining engineering design students' perceptions of agency for sustainability in a problem- and project-based learning (PBL) context-a Q methodology study[J].International Journal of Technology and Design Education, 2025, 35(2):723-746.

[9] Ramón Tirado-Morueta, Garrido Y C ,Antonio Javier Barragán Pia,et al.The association of self-determination with student engagement moderated by teacher scaffolding in a project-based learning (PBL) case[J]. 2025.

[10] Shao Y .Research on the Applications of Artificial Intelligence in Pedagogy[J].Lecture Notes in Education Psychology and Public Media, 2025, 85(1):30-35.

[11] Rajki Z ,Dringó-Horváth, Ida, Nagy J T .Artificial Intelligence in Higher Education: Students' Artificial Intelligence Use and its Influencing Factors[J].Journal of University Teaching & Learning Practice, 2025, 22(2).

[12] Farkas I , Kovari A ,Mónika Rajcsanyi-Molnar.The Emergence of Artificial Intelligence in Education and its Impact on Individual Literacy in Higher Education[J].2024 IEEE 7th International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE), 2024:83-88.

[13] Sergeeva O V , Masalimova A R , Zheltukhina M ,et al.Impact of Digital Media Literacy on Attitude toward Generative AI Acceptance in Higher Education[J].Frontiers in Education, 2025, 10(10):1563148.