International Journal of New Developments in Education, 2025, 7(8); doi: 10.25236/IJNDE.2025.070818.
Xuan Chen, Ning Li, Guanli Fang
Qingdao Binhai University, Qingdao, 266555, Shandong, China
With the rapid development of artificial intelligence (AI) technology and its wide application in the field of education, the traditional teaching model is being gradually overturned, showing a trend of developing towards intelligence, digitalization and personalization. Engineering drawing course, as a basic course in engineering education, aims to cultivate students' mastery of the basic theories, skills and standard norms of engineering drawing. Traditional teaching methods and means have many limitations in knowledge transmission, interaction methods and personalized support, resulting in insufficient learning interest of students and uneven spatial imagination. However, AI technology, combined with virtual reality technology (VR), can effectively solve the above problems. In the engineering drawing course, AI technology can assist teaching from aspects such as intelligent guidance, graphic recognition and automatic evaluation, personalized learning path recommendation, virtual simulation and intelligent Q&A, which can effectively enhance students' learning interest, optimize learning effects and improve students' practical abilities.
Artificial Intelligence Engineering, Engineering Drawing, Personalized Learning, Virtual Reality Technology
Xuan Chen, Ning Li, Guanli Fang. Research on the Teaching Reform of Engineering Drawing Course Based on AI Technology. International Journal of New Developments in Education (2025), Vol. 7, Issue 8: 115-119. https://doi.org/10.25236/IJNDE.2025.070818.
[1] Jin Wenxin, Wu Dan, Chen Xiuzhen, etc. Research on Informationization Teaching Practice of Mechanical Drawing Course under the Background of AI Technology .Technology News, 2020,18 (23): 87-89+92
[2] Wang Weifang, Cui Yong, etc. From Traditional to Digital: The Transformation and Optimization of Mechanical Drawing Teaching Mode. Special purpose vehicles, 2024, (08): 115~117
[3] Song Xiangyu, Zhao Wanxiang. A Brief Analysis of the Application Status and Development Direction of Artificial Intelligence in the Field of Education. Modern Vocational Education, 2019 (19): 180-181
[4] Hou Xingquan, Xiong Yuzhen, Xu Guiping. Construction of Knowledge Graph for "Digital Humanities" Online Open Course. Chinese Language Teaching and Research, 2024 (4): 79-85
[5] Hao Yaping, Wang Wei. Application of Online Training Platform Based on Virtual Simulation Technology in Practical Teaching. Journal of Changzhou Institute of Technology, 2024, 37 (04): 100-104