生成式人工智能赋能职业院校教学评价:价值意蕴、现实梗阻与实践进路OA

Generative artificial intelligence(AI)technology has revolutionized vocational education evaluation systems through its advanced capabilities in content generation,contextual understanding,and multimodal data analysis.Its core value lies in three key aspects:aligning assessment standards with modern educational objectives,establishing teacher-led intelligent data collection systems,and enabling evidence-based teaching diagnostics with precise feedback.However,current implementation faces multiple practical challenges:technology applications may undermine teachers'and students'central role in the learning process;data mining risks crossing ethical boundaries;and algorithmic biases could compromise the fairness of educational decisions.To address these challenges,we should cultivate interdisciplinary algorithm design talents,establish comprehensive data security and technology application regulatory frameworks,and develop intelligent teaching teams.These measures will help build an intelligent teaching evaluation ecosystem that fully leverages technological efficiency while maintaining the fundamental purpose of education.