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ZENODO
Part of book or chapter of book . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Part of book or chapter of book . 2026
License: CC BY
Data sources: Datacite
ZENODO
Part of book or chapter of book . 2026
License: CC BY
Data sources: Datacite
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Education and Knowledge Systems in the Generative Age: AI-Driven Transformation of Pedagogy, Research, and Learning Systems

Authors: MOHAMMED, Dr. RAFFI;

Education and Knowledge Systems in the Generative Age: AI-Driven Transformation of Pedagogy, Research, and Learning Systems

Abstract

Abstract: Education is crucial for societies and individuals to achieve the knowledge society. Understanding how education and knowledge systems interact with large language models (LLMs) is therefore of importance and urgency. Education and knowledge systems encompass pedagogy, research, and learning systems. LLMs have emerged as generative AI tools that can produce human-like text responses and are becoming integrated into widespread practices, pedagogies, and educational systems. Education needs to adapt to changing modes of human reasoning and co-creation of knowledge stimulated by the new advances in generative AI. Generative AI offers opportunities to enhance pedagogy, research, and learning systems in education. Education systems are being transformed by generative AI that creates text, images, and other forms of media (Katsamakas et al., 2024). Generative AI presents both challenges and opportunities to education, knowledge systems, and societies at large (Leiker, 2023). It is important to understand how education can leverage the opportunities and navigate the challenges. Keywords: Generative Artificial Intelligence, Educational Transformation, AI-Driven Pedagogy, Knowledge Systems, Learning and Research Innovation, Large Language Models (LLMs)

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    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).
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    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
0
Average
Average
Average
Green