远程教育杂志2026，Vol.44Issue(3)：59-71,13.DOI:10.15881/j.cnki.cn33-1304/g4.2026.03.007
高校"人工智能+"教育生态成熟度模型:指标体系与评估实践
Maturity Model of the"AI+"Education Ecosystem in Higher Education:Indicator System and Evaluation Practice
摘要
Abstract
Developing a valid and operational indicator system is essential for advancing the high-quality development of the"AI+"construction in higher education.Existing studies have mainly examined specific aspects such as technology application,teach-ers' and students' AI literacy,and ethical governance,but have paid insufficient attention to systematic and applicable evaluation frameworks.Drawn upon ecosystem theory and considering the characteristics of higher education governance as well as instructional practice,this study proposes an"AI+"education ecosystem framework in higher education,consisting of organizational ecology,tech-nological ecology,teacher application ecology,student application ecology,and developmental ecology.Guided by this framework,this study employs literature analysis,Delphi expert consultation,and the analytic hierarchy process to develop an evaluation indicator system and determine the relative weights of indicators.The final indicator system includes 5 first-level indicators,13 second-level indicators,and 42 third-level indicators.Based on that,this study designs a five-level maturity model,namely the basic,application,development,integration,and leading levels.A constraint mechanism for under-performing dimensions is introduced to improve the comprehensiveness and balance of the evaluation results.Finally,University S is used as a case to demonstrate the application process and diagnostic results of the maturity model.This study provides a methodological basis and practical reference for evaluation,diag-nosis,and continued improvement in the integration of AI and education in higher education.关键词
"人工智能+"教育生态/成熟度模型/指标体系/生态系统理论/高等教育Key words
"AI+"education ecosystem/Maturity model/Indicator system/Ecosystem theory/Higher education分类
社会科学引用本文复制引用
吴欣怡,张青林,宋芊菲,江丰光..高校"人工智能+"教育生态成熟度模型:指标体系与评估实践[J].远程教育杂志,2026,44(3):59-71,13.基金项目
上海高等教育人才培养改革专项"AI(人工智能)+HI(人类智慧)赋能人才培养"(项目编号:ZXWH7602101)、上海交通大学教务处数智课程建设专项"人工智能高校教育生态评估指标体系构建"(项目编号:WH620160202/065). （人工智能）
