辽宁高职学报2025，Vol.27Issue(6)：37-40,4.
基于AI驱动的教学增值评价模型设计与应用
Application and Design of AI-Driven Teaching Value-Added Evaluation Model
摘要
Abstract
Aiming at the problems such as large workload and untimely feedback of evaluation results in the implementation process of value-added evaluation,this paper takes Python programming course in higher vocational education as an example,and constructs an AI-driven value-added evaluation model.Relying on the Lanmo Cloud Class platform,it achieves full-cycle teaching data collection,integrates the intelligent analysis capabilities of AI open-source models,and establishes a three-layer architecture system of"data collection-AI analysis-intelligent application",providing a replicable technical framework for vocational education to realize the precise teaching mode of"one student,one policy".关键词
高职教育/增值评价/人工智能/教学质量评价Key words
higher vocational education/value-added assessment/artificial intelligence/teaching quality evaluation分类
社会科学引用本文复制引用
常乐..基于AI驱动的教学增值评价模型设计与应用[J].辽宁高职学报,2025,27(6):37-40,4.基金项目
辽宁省教育科学"十四五"规划2022年度立项课题:"数智赋能差异化教学在编程类课程教学的应用研究"(JG22EB109) （JG22EB109）
