Effectiveness Analysis and Teaching Reform of Engineering Drawing Courses in Application-Oriented Universities Based on Wuzhou University
DOI:
https://doi.org/10.6918/IJOSSER.202506_8(6).0037Keywords:
Application-oriented universities. Engineering drawing courses. Teaching reform. Practice teaching. Virtual reality technology.Abstract
With the background of digital transformation, Wuzhou University's engineering drawing courses face problems with outdated teaching content, single teaching methods, and weak practical teaching links. It restricts the cultivation of students' practical abilities and the improvement of teaching quality. By analyzing the current situation of the courses, the core contradictions of the disconnection between theoretical teaching and practical application, the lag of technology updates, and the low participation of students are pointed out. The systematic reform path is proposed. The teaching content should be optimized, and new CAD technology, 3D modeling, virtual reality, and other cutting-edge tools should be introduced. The teaching methods should be innovated, and the case teaching, project-driven, and flipped classroom models should be integrated. The school-enterprise cooperation should be strengthened, and a practical platform in a real engineering environment should be built. The research results show that the multi-dimensional reform can significantly improve students' engineering drawing ability, innovative thinking, and professional quality. It can provide a practical reference for engineering and technical talent training in application-oriented universities.
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[1] Egevad L, Ström P, Kartasalo K, et al. The utility of artificial intelligence in the assessment of prostate pathology[J]. Histopathology, 2020, 76(6).
[2] Gnewuch U, Morana S, Hinz O, et al. More than a bot? The impact of disclosing human involvement on customer interactions with hybrid service agents[J]. Information Systems Research, 2024, 35(3): 936-955.
[3] Deng Y, Zheng J, Huang L, et al. Let Artificial Intelligence Be Your Shelf Watchdog: The Impact of Intelligent Image Processing-Powered Shelf Monitoring on Product Sales[J]. MIS quarterly, 2023, 47(3).
[4] Wang H, Fu T, Du Y, et al. Scientific discovery in the age of artificial intelligence[J]. Nature, 2023, 620(7972): 47-60.
[5] Raghavan G, Tharwat B, Hari S N, et al. Engineering flexible machine learning systems by traversing functionally invariant paths[J]. Nature Machine Intelligence, 2024, 6(10): 1179-1196.
[6] Fawzi A, Balog M, Huang A, et al. Discovering faster matrix multiplication algorithms with reinforcement learning[J]. Nature, 2022, 610(7930): 47-53.
[7] Chen Y. Teaching Reform of Engineering Graphics Course Based on Engineering Certification under Big Data[C]//2021 4th International Conference on Information Systems and Computer Aided Education. 2021: 1165-1169.
[8] Tiwari A S, Bhagat K K, Lampropoulos G. Designing and evaluating an augmented reality system for an engineering drawing course[J]. Smart learning environments, 2024, 11(1): 1.
[9] Li X, Ma M. Reform Thinking of Strengthening Students’ Ability Training in the Practice of Descriptive Geometry and Mechanical Drawing Course[C]//2020 International Conference on Advanced Education, Management and Social Science (AEMSS2020). Atlantis Press, 2020: 19-22.
[10] Kadam K, Iyer S. Improvement of problem solving skills in engineering drawing using blender based mental rotation training[C]//2014 IEEE 14th international conference on advanced learning technologies. IEEE, 2014: 401-402.
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