数字素养调制的双通道传导:通过人工智能人机交互镜头审视技术冲击意识和非正式数字学习。

IF 2.2 4区 医学 Q2 REHABILITATION
Hailong Sun, Xiaopeng Tang, Yunliang Jiang
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引用次数: 0

摘要

目的:本研究旨在探讨在教育技术和人工智能人机交互背景下,技术冲击意识如何影响大学生的非正式数字学习,特别关注技术自我效能感和在线学习参与的中介作用,以及数字素养和性别的调节作用。资料与方法:对631名大学生进行问卷调查。构建结构方程模型(SEM),并辅以多组分析,检验技术自我效能和在线学习参与的平行中介效应,以及数字素养和性别的调节作用。结果:技术自我效能感和在线学习投入显著增强非正式数字学习,充分中介技术冲击意识的影响;在线学习投入表现出更强的中介效应。数字素养正向调节在线参与与非正式数字学习之间的关系。性别通过在线学习参与调节中介路径,在男学生中观察到更强的影响。结论:通过集成人工智能增强的交互工具、大数据分析和数字素养框架,本研究解决了数字学习中对技术的负面看法的差距。研究结果为大学和教育平台设计辅助性、个性化和适应性学习环境提供了经验指导,利用人工智能和数据驱动战略来减少技术焦虑,改善非正式数字学习成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dual-channel conduction modulated by digital literacy: examining technology shock awareness and informal digital learning through an AI-enabled human-computer interaction lens.

Objective: This study aims to investigate how technology shock awareness influences college students' informal digital learning in the context of educational technology and AI-enabled human-computer interaction, with particular focus on the mediating roles of technology self-efficacy and online learning engagement, and the moderating effects of digital literacy and gender.

Materials and methods: A survey was conducted with 631 valid responses from college students. A structural equation model (SEM) was constructed, supplemented by multi-group analyses, to examine the parallel mediation effects of technology self-efficacy and online learning engagement, as well as moderation by digital literacy and gender.

Results: Technology self-efficacy and online learning engagement significantly enhance informal digital learning, fully mediating the effect of technology shock awareness; online learning engagement exhibits a stronger mediating effect. Digital literacy positively moderates the relationship between online engagement and informal digital learning. Gender moderates the mediating path via online learning engagement, with stronger effects observed in male students.

Conclusion: By integrating AI-enhanced interaction tools, big data analytics, and digital literacy frameworks, this study addresses the gap in digital learning concerning negative perceptions of technology. The findings provide empirical guidance for universities and educational platforms to design assistive, personalised, and adaptive learning environments, leveraging AI and data-driven strategies to reduce technological anxiety and improve informal digital learning outcomes.

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来源期刊
CiteScore
5.70
自引率
13.60%
发文量
128
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