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Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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AI-DRIVEN LANGUAGE TOOLS AND DIGITAL STORYTELLING IN CLIMATE EDUCATION: BRIDGING SCIENCE, COMMUNICATION, AND BEHAVIORAL CHANGE

Authors: Okeke, O.J (Ph. D); Iloanwusi, Vitalis Chinemerem;

AI-DRIVEN LANGUAGE TOOLS AND DIGITAL STORYTELLING IN CLIMATE EDUCATION: BRIDGING SCIENCE, COMMUNICATION, AND BEHAVIORAL CHANGE

Abstract

Climate change presents a multifaceted challenge that demands interdisciplinary solutions, particularly in education, language, and digital innovation. This study explores how integrating emerging technologies—such as Artificial Intelligence (AI), Natural Language Processing (NLP), and digital storytelling—can revolutionize climate communication and education. By bridging the gap between environmental science and linguistic innovation, this research examines how AI-driven language tools can enhance public awareness, policy engagement, and behavioral change. Through a case study approach, it highlights the role of interactive digital platforms in simplifying complex climate data, making it more accessible to diverse audiences. Additionally, it investigates the power of creative writing and narrative framing in fostering emotional connections to climate issues. The findings underscore the importance of interdisciplinary collaboration between educators, technologists, and environmental researchers in developing innovative strategies that not only inform but inspire action. This research contributes to the evolving discourse on climate change solutions by demonstrating how linguistic and technological advancements can drive sustainable transformation.

Keywords

Climate communication, digital storytelling, Artificial Intelligence, linguistic innovation, behavioral change, sustainability

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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
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