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The rapid development of new-quality productive forces (NQPF) has intensified the demand for high-level innovative talent.As a representative of NQPF,generative artificial intelligence (GenAI) offers powerful tools to reshape talent cultivation but also presents significant challenges,including skill hollowing,ethical risks,and a growing disconnect between education and industry needs.Currently,graduate-level software engineering education struggles with outdated curricula and insufficient alignment with practical demands.In this paper,we propose a dual-core collaborative framework driven by “GenAI technology” and “industry demand”.Under this framework,we design a four-dimensional capability development path to enhance graduate students’ innovation in software engineering practice.This path focuses on ① scientific research innovation,② engineering problem-solving,③ cross-domain collaborative evolution,and ④ ethical risk governance.The proposed approach promotes a shift from traditional knowledge transfer to human-machine collaborative innovation,aligning talent cultivation with the demands of the NQPF.
Abstract：The rapid development of new-quality productive forces (NQPF) has intensified the demand for high-level innovative talent.As a representative of NQPF,generative artificial intelligence (GenAI) offers powerful tools to reshape talent cultivation but also presents significant challenges,including skill hollowing,ethical risks,and a growing disconnect between education and industry needs.Currently,graduate-level software engineering education struggles with outdated curricula and insufficient alignment with practical demands.In this paper,we propose a dual-core collaborative framework driven by “GenAI technology” and “industry demand”.Under this framework,we design a four-dimensional capability development path to enhance graduate students’ innovation in software engineering practice.This path focuses on ① scientific research innovation,② engineering problem-solving,③ cross-domain collaborative evolution,and ④ ethical risk governance.The proposed approach promotes a shift from traditional knowledge transfer to human-machine collaborative innovation,aligning talent cultivation with the demands of the NQPF.
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基本信息:
DOI：10.16512/j.cnki.jsjjy.2026.03.046
中图分类号:G643;TP311.5-4
引用信息:
[1]Ting Cai,Tianyuan Yin,Yuxin Wu,等.Developing Innovation Capacity in Graduate Software Engineering Practice Through New-quality Productive Forces[J].计算机教育,2026,No.375(03):220-229.DOI:10.16512/j.cnki.jsjjy.2026.03.046.
基金信息:
supported in part by the Graduate Education Reform Research Project of Hubei University of Technology under Grant 2024YB003; in part by the Hubei University of Arts and Science,Teaching Research Project,under Grant JY2025018
2025-10-16
2025
2025-11-03
2025
1
2026-03-09
2026-03-09
