Designing Adaptive, Multilingual AI Tutors for Universal AI Literacy: A  Framework for Inclusive and Ethical AI Education

Akangsha Sunil Bedmutha

Designing Adaptive, Multilingual AI Tutors for Universal AI Literacy: A Framework for Inclusive and Ethical AI Education

Authors

Akangsha Sunil Bedmutha

Keywords:

AI Literacy, Adaptive Learning Systems, Multilingual Education, Ethical AI Education, Conversational Tutoring

Abstract

The rapid proliferation of artificial intelligence into economic, governmental, and social domains createsan imperative for universal AI literacy to prevent further exacerbation of inequalities in accessing andbenefiting from these technologies and to allow for informed civic participation. This article outlines a general framework for the development

References

Duri Long and Brian Magerko, "What is AI Literacy? Competencies and Design Considerations," CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 2020. [Online]. Available: https://dl.acm.org/doi/10.1145/3313831.3376727

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Published

2025-12-16

How to Cite

Akangsha Sunil Bedmutha. (2025). Designing Adaptive, Multilingual AI Tutors for Universal AI Literacy: A Framework for Inclusive and Ethical AI Education. Journal of Computational Analysis and Applications (JoCAAA), 34(12), 428–437. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4411