The Evolving Landscape of Artificial Intelligence on Knowledge Acquisition: An Empirical Assessment

Emerson Abraham Jackson

MPRA Paper from University Library of Munich, Germany

Abstract: Artificial Intelligence (AI) is transforming the way individuals engage with information, especially in educational environments where there is an increasing need for tailored, scalable, and effective learning models. This study offers a thorough evaluation of the changing impact of AI on knowledge acquisition, emphasising learners’ adaptability, engagement, and performance. This paper employs a mixed-methods approach with a carefully selected sample size of 150 participants from various academic institutions and learning environments to assess the effectiveness, challenges, and equity dimensions of AI-enabled educational tools. The findings indicate significant enhancements in understanding and memory retention among users of AI platforms, while also highlighting inequalities in access and the necessity for responsible implementation. The research provides practical policy recommendations to facilitate the sustainable integration of AI in knowledge delivery systems.

Keywords: Artificial Intelligence; Knowledge Acquisition; Digital Pedagogy; Personalised Learning; Cognitive Enhancement (search for similar items in EconPapers)
JEL-codes: C38 D83 I21 O33 (search for similar items in EconPapers)
Date: 2025-01, Revised 2025-02
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https://mpra.ub.uni-muenchen.de/125529/1/MPRA_paper_125529.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/125593/3/MPRA_paper_125593.pdf revised version (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:125529

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