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探索在生成式人工智能支持的高等教育中,人工智能素养和自我调节学习与学生写作表现及幸福感之间的关系。

Exploring How AI Literacy and Self-Regulated Learning Relate to Student Writing Performance and Well-Being in Generative AI-Supported Higher Education.

作者信息

Shi Jiajia, Liu Weitong, Hu Ke

机构信息

School of International Education, Shandong University, Jinan 250100, China.

Institute for Advanced Studies in Education, Shandong University, Jinan 250100, China.

出版信息

Behav Sci (Basel). 2025 May 20;15(5):705. doi: 10.3390/bs15050705.

Abstract

The integration of generative artificial intelligence (GAI) into higher education is transforming students' learning processes, academic performance, and psychological well-being. Despite the increasing adoption of GAI tools, the mechanisms through which students' AI literacy and self-regulated learning (SRL) relate to their academic and emotional experiences remain underexplored. This study investigates how AI literacy and SRL are associated with writing performance and digital well-being among university students in GAI-supported higher learning contexts. A survey was administered to 257 students from universities in China, and structural equation modeling was used to examine the hypothesized relationships. Results show that both AI literacy and SRL significantly and positively predict students' writing performance, with SRL having a stronger effect. Moreover, AI literacy shows a positive association with GAI-driven well-being, with writing performance serving as a partial mediator in this relationship. These findings suggest that fostering both technological competencies and effective learning strategies may support students' academic outcomes while supporting their psychological well-being in AI-enriched educational environments. By integrating AI literacy and SRL into a unified model, this study contributes to the growing body of research on GAI-driven well-being in higher education and offers practical implications for cultivating balanced and sustainable learning experiences in the age of GAI.

摘要

生成式人工智能(GAI)融入高等教育正在改变学生的学习过程、学业成绩和心理健康状况。尽管GAI工具的使用越来越广泛,但学生的人工智能素养和自我调节学习(SRL)与其学业和情感体验之间的关联机制仍未得到充分探索。本研究调查了在GAI支持的高等学习环境中,人工智能素养和SRL如何与大学生的写作表现和数字幸福感相关联。对来自中国大学的257名学生进行了一项调查,并使用结构方程模型来检验假设的关系。结果表明,人工智能素养和SRL都能显著且正向预测学生的写作表现,其中SRL的影响更强。此外,人工智能素养与GAI驱动的幸福感呈正相关,写作表现在这种关系中起到部分中介作用。这些发现表明,培养技术能力和有效的学习策略可能有助于学生的学业成果,同时在人工智能丰富的教育环境中支持他们的心理健康。通过将人工智能素养和SRL整合到一个统一的模型中,本研究为高等教育中关于GAI驱动的幸福感的研究不断增加做出了贡献,并为在GAI时代培养平衡和可持续的学习体验提供了实际意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/217f/12108985/02209b4051e7/behavsci-15-00705-g001.jpg

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