The Impact of Artificial Intelligence Literacy on Doctoral Students' Innovative Behaviour From the Perspective of Technology Affordance

IF 3.6 3区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Lu Weikang, Li Shiyin, Qian Xiaomo
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引用次数: 0

Abstract

Generative artificial intelligence (GenAI) is reshaping the research paradigm of doctoral education, with growing evidence suggesting that the use of artificial intelligence (AI) tools could promote innovative behaviour among doctoral students. However, the use of AI tools in scientific research should be approached with special caution, as improper use may lead to ethical issues in scientific research, underscoring the importance of artificial intelligence literacy (AI literacy). This study examined the impact of AI literacy on the innovative behaviour of doctoral students, proposing a theoretical model of ‘AI literacy-innovative behavior’ from the perspective of technology affordance. Specifically, it explored the chain mediating effect of AI affordance and emotional engagement between AI literacy and doctoral students' innovative behaviour. This study investigated 354 doctoral students from three Chinese universities and tested the proposed theoretical model through partial least squares structural equation modelling (PLS-SEM). Results indicate that AI literacy has a significant positive impact on innovative behaviour, AI affordance and emotional engagement both serve as mediators in the relationship between AI literacy and innovative behaviour, and AI affordance and emotional engagement play a chain mediating role in the relationship between AI literacy and innovative behaviour. These findings provide valuable theoretical insights into the mechanisms through which AI literacy influence innovative behaviour and offer practical implications for promoting responsible AI usage in doctoral research contexts.

技术供给视角下的人工智能素养对博士生创新行为的影响
生成式人工智能(GenAI)正在重塑博士教育的研究范式,越来越多的证据表明,人工智能(AI)工具的使用可以促进博士生的创新行为。然而,在科学研究中使用人工智能工具应该特别谨慎,因为不当使用可能会导致科学研究中的伦理问题,这凸显了人工智能素养(AI literacy)的重要性。本研究考察了人工智能素养对博士生创新行为的影响,从技术供给的角度提出了“人工智能素养-创新行为”的理论模型。具体而言,本研究探讨了人工智能素养和情感投入对博士生创新行为的连锁中介效应。本研究以国内三所高校的354名博士生为研究对象,采用偏最小二乘结构方程模型(PLS-SEM)对理论模型进行了验证。研究结果表明,人工智能素养对创新行为具有显著的正向影响,人工智能能力和情感投入在人工智能素养与创新行为之间的关系中均起中介作用,人工智能能力和情感投入在人工智能素养与创新行为之间的关系中起链式中介作用。这些发现为人工智能素养影响创新行为的机制提供了有价值的理论见解,并为在博士研究环境中促进负责任的人工智能使用提供了实际意义。
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来源期刊
European Journal of Education
European Journal of Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
4.50
自引率
0.00%
发文量
47
期刊介绍: The prime aims of the European Journal of Education are: - To examine, compare and assess education policies, trends, reforms and programmes of European countries in an international perspective - To disseminate policy debates and research results to a wide audience of academics, researchers, practitioners and students of education sciences - To contribute to the policy debate at the national and European level by providing European administrators and policy-makers in international organisations, national and local governments with comparative and up-to-date material centred on specific themes of common interest.
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