|
|
|
| Exploration on the path of intelligent transformation of communication engineering specialty in local colleges and universities |
| WEI Changzhi, JIANG Xiaoqing |
| School of Information Science and Engineering,University of Jinan,Jinan 250022 |
|
|
|
|
Abstract The communication engineering specialty in local colleges and universities generally faces common challenges such as outdated knowledge structure, insufficient integration of industry and education, and a single teaching model. Taking the specialty where the author is affiliated as a case, this paper explores and practices the professional transformation and upgrading of “communication+AI” with in-depth artificial intelligence (AI) empowerment as the core. A new ecosystem of professional smart education has been constructed by taking outcome-based education (OBE) as the top-level concept, AI as the core engine, data as the key driver, and industry-education collaboration as the external ecology. Practice has shown that this model has achieved remarkable results in improving students’ engineering practice and AI application capabilities, enhancing the quality of further study and employment, deepening the connotation construction of the specialty, and exerting demonstration and radiation effects. The model proposed in this paper provides a replicable and promotable “smart” paradigm for the digital transformation of emerging engineering specialty in local colleges and universities.
|
|
Received: 01 October 2025
|
|
|
|
| Cite this article: |
|
WEI Changzhi,JIANG Xiaoqing. Exploration on the path of intelligent transformation of communication engineering specialty in local colleges and universities[J]. Electrical Engineering, 2026, 27(4): 33-38.
|
|
|
|
| URL: |
|
https://dqjs.cesmedia.cn/EN/Y2026/V27/I4/33
|
[1] Wang Chengxiang, You Xiaohu, Gao Xiqi, et al.On the road to 6G: visions, requirements, key technologies and testbeds[J]. IEEE Communications Surveys & Tutorials, 2023, 25(2): 905-974. [2] Sanjalawe Y, Fraihat S, Al-E’ Mari S, et al. A review of 6G and AI convergence: enhancing communication networks with artificial intelligence[J]. IEEE Open Journal of the Communications Society, 2025, 6: 2308-2355. [3] 教育部、工业和信息化部、中国工程院关于加快建设发展新工科实施卓越工程师教育培养计划2.0的意见[EB/OL].[2026-02-06]. http://www.moe.gov.cn/srcsite/A08/moe_742/s3860/201810/t20181017_351890.html. [4] 教育部等五部门关于印发《普通高等教育学科专业设置调整优化改革方案》的通知[EB/OL].[2026-02-06]. http://www.moe.gov.cn/srcsite/A08/s7056/202304/t20230404_1054230.html. [5] Tirsu V, Sava L, Nistiriuc P, et al.Engineering education management in the era of artificial intelligence[C]//2025 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), Chisinau, Republic of Moldova, 2025. [6] Han Wanjiang, Han Zhuoyan, Tian Yifan, et al.Study on progressive teaching system of practice base for engineering education[C]//2022 International Conference on Engineering Education and Information Technology (EEIT), Nanjing, China, 2022: 37-40. [7] Petchamé J, Iriondo I, Torné O, et al.Student perceptions of project-based learning when studying ‘information systems’ in an ICT engineering program: taking advantage of active learning[J]. Education Sciences, 2024, 14(11): 1148. [8] 姜潮, 杨旭静, 龙湘云, 等. 智造赋能传统工科专业升级转型的探索与实践: 以机械工程专业为例[J]. 高等工程教育研究, 2022(4): 25-30. [9] 黄兆军. 粤港澳大湾区高职院校工科专业转型之路探析: 以珠海市高等职业院校为例[J]. 南方职业教育学刊, 2020, 10(5): 52-58. [10] 赵琰, 贺雪晨, 刘丹丹. 新工科背景下专业转型升级模式探索与实践: 以上海电力大学电子信息工程专业为例[J]. 中国电力教育, 2021(增刊1): 76-78. [11] Brooks D C, McCormack M. Driving digital trans-formation in higher education[R/OL].2024-09-05. https://library.educause.edu/-/media/files/library/2020/6/dx2020.pdf?la=en&hash=28FB8C377B59AFB1855-C225BBA8E3CFBB0A271DA. [12] Ouyang Fan, Jiao Pengcheng.Artificial intelligence in education: the three paradigms[J]. Computers and Education: Artificial Intelligence, 2021, 2: 100020. [13] 新工科下人才培养“OBE”模式[EB/OL].[2026-02-06]. https://www.csdp.edu.cn/article/2767.html.2017-07-13. |
|
|
|