DOI: 10.57760/sciencedb.31471
title: A survey of college students' psychological dependence on AIGC
title: 大学生对AIGC心理依赖情况调查

description: This dataset is derived from a questionnaire survey on the psychological dependence of college students on generative AI software. The data was collected in the form of an online questionnaire from January 24, 2025 to February 6, 2025, covering college students from multiple universities in Yunnan Province. The questionnaire design includes multiple dimensions such as basic information, usage behavior, psychological dependence, negative emotional experience, self-efficacy, etc., with a total of 1110 valid sample records. The data has been anonymized and does not contain any personal identification information. All responses were filled out by the participants themselves. In the data file, each row represents the complete answer of a respondent, and column labels include serial number, gender, grade level, major category, whether generative AI has been used, commonly used software types, frequency of use, start time, motivation for use, impact on learning efficiency, recommendation intention, attitude towards prohibition of use, future use intention, level of trust in AI, dependency behavior, anxiety and emotional reactions, self-efficacy, and other aspects. Some of the questions in the questionnaire were scored with the Likert five point scale, and some were Single choice question or multiple choice questions. Some questions, such as "Have you used Generative AI before?", are automatically skipped if not used, resulting in a missing value of "0" in the corresponding column, which is a reasonable loss in design logic. There may be self-report bias in the data collection process, and some questions involve subjective evaluations of psychological states, resulting in certain subjective errors. In the data processing stage, preliminary cleaning has been carried out for issues such as outliers and duplicate submissions to ensure the validity and consistency of the data. The data file is in Excel format (. xlsx) and can be opened and processed using common spreadsheet software such as Microsoft Excel, WPS spreadsheets, Google Sheets, etc. This dataset is suitable for empirical research in fields such as educational technology, psychology, and information behavior, especially for exploring the psychological and behavioral characteristics of college students during their interaction with generative AI. 
description: This dataset is derived from a questionnaire survey on the psychological dependence of college students on generative AI software. The data was collected in the form of an online questionnaire from January 24, 2025 to February 6, 2025, covering college students from multiple universities in Yunnan Province. The questionnaire design includes multiple dimensions such as basic information, usage behavior, psychological dependence, negative emotional experience, self-efficacy, etc., with a total of 1110 valid sample records. The data has been anonymized and does not contain any personal identification information. All responses were filled out by the participants themselves. In the data file, each row represents the complete answer of a respondent, and column labels include serial number, gender, grade level, major category, whether generative AI has been used, commonly used software types, frequency of use, start time, motivation for use, impact on learning efficiency, recommendation intention, attitude towards prohibition of use, future use intention, level of trust in AI, dependency behavior, anxiety and emotional reactions, self-efficacy, and other aspects. Some of the questions in the questionnaire were scored with the Likert five point scale, and some were Single choice question or multiple choice questions. Some questions, such as "Have you used Generative AI before?", are automatically skipped if not used, resulting in a missing value of "0" in the corresponding column, which is a reasonable loss in design logic. There may be self-report bias in the data collection process, and some questions involve subjective evaluations of psychological states, resulting in certain subjective errors. In the data processing stage, preliminary cleaning has been carried out for issues such as outliers and duplicate submissions to ensure the validity and consistency of the data. The data file is in Excel format (. xlsx) and can be opened and processed using common spreadsheet software such as Microsoft Excel, WPS spreadsheets, Google Sheets, etc. This dataset is suitable for empirical research in fields such as educational technology, psychology, and information behavior, especially for exploring the psychological and behavioral characteristics of college students during their interaction with generative AI.