与人工智能交互频率对大学生的双刃剑效应:同行支持的调节作用
Wenyan Sun1, Zhanfeng Jiang1, Shenyang Hai2
1School of MarXism, Henan Normal University, Xinxiang 453000, China.
Behavioral sciences (Basel, Switzerland)
|September 27, 2025
概括
在高等教育中使用生成性人工智能 (AI) 既有好处又有风险. 频繁的AI互动通过关联需求和孤独,通过同行支持调节,影响亲社会行为和有问题的电话使用.
科学领域:
- 心理学 心理学 心理学
- 教育技术的教育技术
- 社会学 社会学 社会学
背景情况:
- 生成型人工智能 (AI) 在高等教育中越来越多地被采用.
- 之前的研究往往侧重于AI对学生的好处.
- 这项研究检查了AI的AI.
- 研究的目的_研究_目的
- 主要_方法 方法
- 主要_结果
- 结论 结论 结论 结论
研究的目的:
- 研究生成性AI交互频率对大学生的双重影响.
- 开发和测试基于社会归属理论的模型.
- 澄清人工智能互动如何影响社会需求和行为.
主要方法:
- 与388名本科生进行纵向研究.
- 一个模型的实证测试,将AI交互频率与社会结果联系起来.
- 分析涉及归属需求和孤独的途径.
主要成果:
- 人工智能交互频率影响亲社会行为和有问题的手机使用.
- 这些效应是由关联的需要和孤独感介导的.
- 同行支持通过关联来调节人工智能使用和亲社会行为之间的联系,但不是通过孤独来解决问题的电话使用.
结论:
- 将社会归属理论扩展到高等教育中人工智能使用的背景.
- 突出了人工智能交互频率的"双刃剑"性质.
- 提供了关于在使用人工智能的学生中促进健康的技术参与和社会技能的见解.
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