职业决定性在人工智能焦虑对就业希望影响中的调节作用

Ayşe Meriç Yazici
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引用次数: 0

摘要

人工智能在各行各业的迅速崛起以及技术变革带来的焦虑影响着大学生的就业前景和未来职业决定。本研究的主要目的是确定职业决定性在人工智能焦虑对大学生就业希望的影响中是否具有调节作用。研究样本由伊斯坦布尔一所基础大学的 389 名学生(264 名女生,125 名男生)组成,采用方便抽样法。参与者的年龄在 18-34 岁之间。问卷包括四个部分:人口统计学信息、人工智能焦虑、就业希望和职业决定性。问卷采用定量研究方法,由 5 点 Likert 语句组成。三个变量共包含 36 个语句。数据分析采用斯皮尔曼相关分析和量子回归分析进行检验。斯皮尔曼相关分析表明,量表之间的关系较弱和非常弱。量化回归分析的结果表明,职业决定对人工智能焦虑对就业希望的影响没有调节作用。
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The moderator role of career decidedness in the effect of artificial intelligence anxiety on employment hope
The rapid rise of artificial intelligence in every sector and the anxiety created by technological change affect university students' job prospects and future career determination. The main purpose of this study is to determine whether career decidedness has a moderating role in the effect of artificial intelligence anxiety on university students' job hopes. The study sample consists of 389 students (264 female, 125 male) selected by convenience sampling method from a foundation university in Istanbul. The ages of the participants are between 18-34+. The questionnaire comprises four sections: demographic information, artificial intelligence anxiety, employment hope, and career decidedness. The questionnaire, which is a quantitative research method, consists of 5-point Likert statements. A total of 36 statements were included for three variables. The data analysis was tested using Spearman correlation analysis and quantile regression analysis. Spearman correlation analysis revealed weak and very weak relationships between the scales. As a result of quantile regression analysis, it was determined that career determination did not have a moderating role in the effect of artificial intelligence anxiety on employment hope.
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