AI-Powered E-Learning for Lifelong Learners: Impact on Performance and Knowledge Application

Hyun Yong Ahn ()
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Hyun Yong Ahn: National Institute for Lifelong Education, Seoul 04520, Republic of Korea

Sustainability, 2024, vol. 16, issue 20, 1-20

Abstract: The widespread integration of artificial intelligence (AI) technologies, such as generative AI tools like ChatGPT, in education and workplaces requires a clear understanding of the factors that influence their adoption and effectiveness. This study explores how the ease of using AI tools, the ability to apply knowledge gained from them, and users’ confidence in learning with AI impact individuals’ performance and frequency of use. We also examine how these factors affect academic success and job performance among adults engaged in lifelong learning. Using data from 300 participants analyzed with Partial Least Squares Structural Equation Modeling (PLS-SEM), we found that, when AI tools are easy to use, individuals experience greater benefits and are more likely to use them regularly. Applying knowledge from AI tools enhances both personal performance and usage frequency. Additionally, having confidence in one’s ability to learn with AI leads to significant improvements in personal outcomes and an increased use of AI tools. These findings highlight the importance of designing user-friendly AI technologies, promoting the practical application of AI-generated knowledge, and building users’ confidence to maximize the benefits of AI. Educators, policymakers, and AI developers can use these insights to develop strategies that enhance academic and job performance through effective AI integration. Future research should consider other influencing factors and employ longitudinal studies to further validate these findings.

Keywords: academic performance; AI learning; individual impact; job performance; knowledge application; technicality (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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