人工智能赋能高校就业指导系统性建设：价值逻辑、发展瓶颈与实践进路

中图分类号：G647 文献标识码：A DOI：10.16400/j.cnki.kjdk.2025.20.003

Artificial Intelligence Empowers the Systematic Construction of Employment Guidance in Universities： Value Logic， Development Bottlenecks， and Practical Approaches

CHEN Yuxuan， DONG Xiaoqing， MA Xiaoying （Hanshan Normal University， Chaozhou， Guangdong ）

AbstractThe article explores in depth the systematic construction of artificialinteligenceempowering employment guidance inuniversities.Byconstructing a theoretical framework of valuelogic，development botlenecks，and practical approaches，it reveals the keyrole of artificial intelligence in the systematic construction of employment guidance in universities. Research has found that there are development bottlenecks in the current employment guidance system in universities intermsof technological level，applicationeffectivenes，teacherabilityandstudentquality.Thrfore，it is proposed that universities should strengthen research onartificial intelligence technology，create a new paradigm of precise and effcient artificial intelligenceemployment guidance， build an intellgent employment guidance teacher team，and strengthen practical approaches tocultivating students'digital abilities，inorder topromote theeffective integrationof educationalresources and innovation inemployment guidance models，and meet the requirements of new quality productivity for talent cultivation in universities.

Keywordsartificial intelligence; college employment guidance; graduates; high-quality employment

国家主席习近平在向国际人工智能与教育大会所致的贺信中指出，“中国高度重视人工智能对教育的深刻影响，积极推动人工智能和教育深度融合，促进教育变革创新”Ⅲ。（剩余6690字）