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International Journal of Current Educational Studies
Article . 2024 . Peer-reviewed
License: CC BY NC
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Article . 2024
License: CC BY
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Article . 2024
License: CC BY
Data sources: Datacite
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Article . 2024
License: CC BY
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AI in Education: Shaping the Future of Teaching and Learning

Authors: Takona, James P.;

AI in Education: Shaping the Future of Teaching and Learning

Abstract

This study examines the impactful incorporation of Artificial Intelligence (AI) in higher education, emphasizing its ability to improve teaching methods, simplify administration, and facilitate individualized learning. By analyzing literature and assessing case studies, this study demonstrates how AI promotes creativity, enhances critical thinking, and provides personalized learning experiences. Moreover, AI streamlines repetitive tasks like scheduling and communication, allowing educators to concentrate on impactful student interaction and instructional creativity. Nonetheless, the research also highlights significant challenges, including ethical worries regarding data privacy and algorithmic bias, issues of equity such as the digital divide, and the dangers of reduced human interaction. Tackling these challenges necessitates careful design and teamwork to guarantee that the incorporation of AI is in harmony with educational principles. The results indicate that, if applied thoughtfully, AI has the potential to transform higher education into a more adaptive, inclusive, and effective system, aligning technological advancements with the fundamental goal of promoting fair and significant learning opportunities.

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Keywords

Human-like thinking, Artificial Intelligence, Educational technologies, educational technologies, emulating human-like processes, Education (General), L7-991, Emulating human-like processes, artificial intelligence, human-like thinking

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    10
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
gold