| 0 | 0 | 6 |
| 下载次数 | 被引频次 | 阅读次数 |
Under the national innovation-driven development strategy and the emerging need for new engineering education, the cultivation of high-quality software engineering talent faces increasingly stringent requirements. To address critical challenges in the current graduate training model at regional universities, including fragmented undergraduate-to-graduate transition, ambiguous competency development pathways, and structural deficiencies in teaching resources, this paper proposes a novel PCER(Plan-Carry Out-Evaluate-Refine) dynamic feedback model for software engineering graduate education. The PCER framework establishes phased training objectives, develops an adaptive multi-level resource repository, and implements a multidimensional evaluation mechanism. Empirical results demonstrate that the model significantly enhances students' academic innovation capabilities and engineering practice competencies, providing a replicable reform path for the cultivation of software engineering talents. The PCER approach offers a transferable solution for engineering education reform, particularly for institutions facing similar resource constraints and quality improvement challenges.
Abstract：Under the national innovation-driven development strategy and the emerging need for new engineering education, the cultivation of high-quality software engineering talent faces increasingly stringent requirements. To address critical challenges in the current graduate training model at regional universities, including fragmented undergraduate-to-graduate transition, ambiguous competency development pathways, and structural deficiencies in teaching resources, this paper proposes a novel PCER(Plan-Carry Out-Evaluate-Refine) dynamic feedback model for software engineering graduate education. The PCER framework establishes phased training objectives, develops an adaptive multi-level resource repository, and implements a multidimensional evaluation mechanism. Empirical results demonstrate that the model significantly enhances students' academic innovation capabilities and engineering practice competencies, providing a replicable reform path for the cultivation of software engineering talents. The PCER approach offers a transferable solution for engineering education reform, particularly for institutions facing similar resource constraints and quality improvement challenges.
[1] Tan D K, Zhao J, Han L Z, et al. Research-case-driven inquiry-based teaching model for introduction to artificial intelligence course[J]. Computer Education, 2023(12):356-360.
[2] Ma H, Liu H. Personalized training of high-quality compound software engineering talents[J]. Computer Education, 2025(1):76-80.
[3] Song T, Huang T Y. New thinking on teaching cases for Python programming language[J]. Computer Education,2017(12):11-14, 19.
[4] Li C L, Wang F Q, Liu M H. Reform and practice of computer technology basic teaching based on PDCA cycle[J]. Computer Education, 2019(11):108-111.
[5] Su S Z, Fang X J, Yang G M. Cultivation of scientific research thinking in computer teaching[J]. Advances in Education, 2019, 9(3):208-212.
[6] Zhao J S, Zhu Y, Feng X, et al. Reform of computer course teaching model in universities under the background of deep integration of industry and education[J]. Computer Education, 2025(1):50-54.
[7] Wang B C, Deng Y, Wan H Y, et al. DF4RT:Deep forest for requirements traceability recovery between use cases and source code[C]//2023 IEEE International Conference on Systems, Man, and Cybernetics(SMC). New York:IEEE,2023:617-622.
基本信息:
DOI：10.16512/j.cnki.jsjjy.2026.06.050
中图分类号:G643;TP311.5-4
引用信息:
[1]Bangchao Wang,Yuyang Dai,Hongyan Wan,等.PCER: A dynamic feedback model for optimizing graduate student training in software engineering[J].计算机教育,2026,No.378(06):330-342.DOI:10.16512/j.cnki.jsjjy.2026.06.050.
基金信息:
the Provincial Teaching Reform Research Project of Higher Education Institutions in Hubei Province (No. 2024346); the National Natural Science Foundation of China (No. 62102291); the Graduate-level Quality Course “Advanced Software Engineering” of Wuhan Textile University (2024); the Practical Platform Construction Project for Algorithm Design Courses (No. 231002405072709); the IndustryUniversity Collaborative Education Program of the Ministry of Education (No. 220606008213849); the University-level Teaching Research Project of Wuhan Textile University titled “A Study on the Teaching Model of Software Engineering Courses Integrating Research Resources into Classroom Content”
2025-10-28
2025
2025-11-13
2025
1
2026-06-10
2026-06-10
