AI赋能工科课程评价体系构建与实践
中图分类号：G642
文献标识码：A DOI：10.16400/j.cnki.kjdk.2026.2.002
Construction and Practice of AI Empowered Engineering Course Evaluation System
LI Yaru， ZHAO Junyang， CHEN Enqing （RocketForceUniversityofEngineering，Xi'an，Shaanxi）
AbstractThis paperfocusesontheposibilitiesbroughtbyAItechnologyfortheinnovationoftheteachingevaluation systemforengineering courses incollegesanduniversities.Aimingatthecore teaching objectives ofengineering courses， such as basic knowledge，practical skills，innovativecapabilities，andcomprehensiveliteracy，this paper proposesa comprehensiveevaluationsystemforengineering talentcultivation，with fourapplicationschemesasthefocalponts：the integrationofAI technology with online testing，practical operation assessment，project-based evaluation，and fullproces-oriented learming evaluation.This systemis intendedtoenhance theobjectivity，dynamics，andaccuracyof engineeringcourseevaluation，therebyprovidingafeasibletheoreticalreferenceandpracticalapproachfortheintellgent transformation of teaching evaluation in engineering education at the college and university level.
Keywordsteaching evaluation; practical operation; project-based evaluation; fullearning process
人工智能（ArtificialIntelligence，AI）技术为高等教育专业课程数字化转型注入了强劲的动能，AI应用正在赋能创建未来教育的新格局[1-2]。（剩余5565字）
