Rethinking the Teaching Reform of Mechanical Control Engineering under the New Engineering Initiative
DOI: https://doi.org/10.62517/jnse.202617407
Author(s)
Bo Xu*, Xiumei Chen
Affiliation(s)
Department of Mechanical and Electrical Engineering, Beijing Information Science & Technology
University, Beijing, China
*Corresponding Author.
Abstract
Mechanical Control Engineering is typically taught as a sequence of mathematical procedures: students learn how to perform calculations but cannot explain or apply them. This paper explores three structural causes of the persistent divide between classroom instruction and engineering practice under China's New Engineering initiative: theory-dominated course content, limited industrial experience among instructors, and predominantly idealized laboratory simulations with little access to representative mechanical systems. A comprehensive reform framework is proposed. Course content should be reorganized around authentic problems in servo motion, robot-joint control, vibration suppression, and intelligent manufacturing; faculty development should combine industrial placements with university-industry co-teaching; and laboratory instruction should integrate simulation-based rehearsal, remote access to physical equipment, hands-on experimentation, and iterative model refinement. Assessment should likewise move away from reproducing formulas and toward case analysis, commissioning plans or performance, project outcomes, and teamwork. The framework reiterates the central logic of engineering practice: engineering problems lead to mathematical models, which are analyzed and then used to improve systems. It is designed to strengthen students' systems thinking, engineering judgment, and ability to solve complex control problems.
Keywords
New Engineering; Mechanical Control Engineering; Teaching Reform; Virtual-Physical Integration; University-Industry Collaboration
References
[1]DORMIDO S. Control learning: present and future. Annual Reviews in Control, 2004, 28(1): 115-136. DOI: 10.1016/j.arcontrol.2003.12.002.
[2]ROSSITER J A, PASIK-DUNCAN B, DORMIDO S, et al. A survey of good practice in control education. European Journal of Engineering Education, 2018, 43(6): 801-823. DOI: 10.1080/03043797.2018.1428530.
[3]WEI S G, ZHANG S W, ZHOU C. The 'three emphases and three neglects' in Mechanical Control Engineering under New Engineering and reform pathways. University Education, 2021(3): 63-65. (in Chinese).
[4]ZHANG L, YANG J W, WU N. An analysis of the 'three disconnects' in Mechanical Control Engineering for application-oriented undergraduate programs. Advances in Education, 2024, 14(5): 957-962. (in Chinese).
[5]YANG S Z, YANG K C. Fundamentals of Mechanical Engineering Control[M]. 7th ed. Wuhan: Huazhong University of Science and Technology Press, 2017. (in Chinese).
[6]OGATA K. Modern Control Engineering[M]. 5th ed. New Jersey: Prentice Hall, 2010.
[7]NISE N S. Control Systems Engineering[M]. 8th ed. Hoboken: John Wiley & Sons, 2019.
[8]WANG Q G, CHEN X Y. A comparative study of textbook-writing philosophies for mechanical control courses in China and abroad. Research in Higher Education of Engineering, 2019(4): 142-147. (in Chinese).
[9]COŞKUN S, KAYIKCI Y, GENÇAY E. Adapting engineering education to Industry 4.0 vision. Technologies, 2019, 7(1): 10. DOI: 10.3390/technologies7010010.
[10]FEISEL L D, ROSA A J. The role of the laboratory in undergraduate engineering education. Journal of Engineering Education, 2005, 94(1): 121-130. DOI: 10.1002/j.2168-9830.2005.tb00833.x.
[11]POTKONJAK V, GARDNER M, CALLAGHAN V, et al. Virtual laboratories for education in science, technology, and engineering: a review. Computers & Education, 2016, 95: 309-327. DOI: 10.1016/j.compedu.2016.02.002.
[12]BRINSON J R. Learning outcome achievement in non-traditional (virtual and remote) versus traditional (hands-on) laboratories: a review of the empirical research. Computers & Education, 2015, 87: 218-237. DOI: 10.1016/j.compedu.2015.07.003.
[13]FABREGAS E, FARIAS G, DORMIDO-CANTO S, et al. Developing a remote laboratory for engineering education. Computers & Education, 2011, 57(2): 1686-1697. DOI: 10.1016/j.compedu.2011.02.015.
[14]LIU J, MA G L. Construction of a physical Mechanical Control Engineering laboratory platform integrating virtual and physical closed loops. Experimental Technology and Management, 2023, 40(8): 112-117. (in Chinese).
[15]HUI J Z, WANG S, ZHU B. Digital-twin modeling of a production line for intelligent-manufacturing simulation experiments. Experimental Technology and Management, 2024, 41(1): 150-157. (in Chinese).
[16]KRITZINGER W, KARNER M, TRAAR G, et al. Digital twin in manufacturing: a categorical literature review and classification. IFAC-PapersOnLine, 2018, 51(11): 1016-1022. DOI: 10.1016/j.ifacol.2018.08.474.
[17]TAO F, ZHANG H, LIU A, et al. Digital twin in industry: state-of-the-art. IEEE Transactions on Industrial Informatics, 2019, 15(4): 2405-2415. DOI: 10.1109/TII.2018.2873186.
[18]PRINCE M. Does active learning work? A review of the research. Journal of Engineering Education, 2004, 93(3): 223-231. DOI: 10.1002/j.2168-9830.2004.tb00809.x.