学生生成式人工智能依赖问卷:编制及网络分析验证OA

This study aimed to develop a Generative Artificial Intelligence Dependency Questionnaire for Students that meets psychometric standards.Based on a review of relevant literature and grounded-theory coding of qualitative interview data,an initial questionnaire was generated.A sample of 522 college students was used for item analysis and exploratory factor analysis.A second sample of 670 college students was recruited to conduct confirmatory factor analysis,assess reliability and validity,and perform net-work analysis,resulting in the final version of the questionnaire.The final questionnaire contains 17 items and comprises three dimen-sions:cognitive-behavioral dependence,functional dependence,and emotional dependence.The confirmatory factor analysis support-ed the three-factor structure.The questionnaire demonstrated good reliability,with a Cronbach's alpha of 0.877 for the total scale;Cronbach's alpha coefficients for the subscales ranged from 0.856 to 0.923,and split-half reliability ranged from 0.755 to 0.865.The questionnaire also showed adequate structural validity,convergent validity,discriminant validity,and criterion-related validity.Net-work analysis further indicated stable centrality structures across the three dimensions and revealed patterns of inter-dimension asso-ciations as well as core node characteristics.The questionnaire developed in this study is an effective instrument for measuring college students'dependency on generative artificial intelligence,providing support for research on related psychological mechanisms and for evaluating educational interventions.