Navigating Education in the Age of Generative AI

The educational landscape is quickly evolving, presenting many opportunities. At the same time, there are tests to be passed when Generative Artificial Intelligence (AI) comes into the picture. Better rides going ways to alter education to enroll in the AI era, worth of the best integration of Generative AI technologies. To start, our deliberation will open discussions on how generative AI can precipitate authentic revolutions in the enhancement of learning experiences, customized tutorials, and generating very different contextualization. We continue to explore evils to the integration of AI that has cropped up as a result; issues of ethics, privacy, and educator training, all stand as major adversaries in this context. Therefore, our theoretical proposal is drawn from literature and empirical studies. It offers a structure by which lecturers or schools may integrate Generative AI effectively. The framework pertains to curriculum realignment, teacher training programs, augmented infrastructure, and a robustly piloted/code of ethics. We are further provoked to encourage and improve collaboration among scholars, technologists, policymakers, and stakeholders about ensuring the conscientious and ethical use of AI in educational settings. It is an asset valuable for educators, users, and policy developers keen on inserting the energy of Generative AI into the consistently disorderly order of the AI era. Cutting-edge methodologies and inclusive of a culture of adaptive change, education can now truly flourish in a world increasingly shaped by AI, supported by modern-day learners and teachers in the twenty-first century and beyond.

Authors

Publication Details

Journal
LatIA
Published
2025-04-16
DOI
https://doi.org/10.62486/latia2025327
Citations
2
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
4.96
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article

Navigating Education in the Age of Generative AI

Sunitha Purushottam Ashtikar, Geetha Manoharan, Sowmya Muppidi
2 citations
LatIA
AI in Service Interactions
4.96
article

Navigating Education in the Age of Generative AI

Sunitha Purushottam Ashtikar, Geetha Manoharan, Sowmya Muppidi
article en
2 citations

Abstract

The educational landscape is quickly evolving, presenting many opportunities. At the same time, there are tests to be passed when Generative Artificial Intelligence (AI) comes into the picture. Better rides going ways to alter education to enroll in the AI era, worth of the best integration of Generative AI technologies. To start, our deliberation will open discussions on how generative AI can precipitate authentic revolutions in the enhancement of learning experiences, customized tutorials, and generating very different contextualization. We continue to explore evils to the integration of AI that has cropped up as a result; issues of ethics, privacy, and educator training, all stand as major adversaries in this context. Therefore, our theoretical proposal is drawn from literature and empirical studies. It offers a structure by which lecturers or schools may integrate Generative AI effectively. The framework pertains to curriculum realignment, teacher training programs, augmented infrastructure, and a robustly piloted/code of ethics. We are further provoked to encourage and improve collaboration among scholars, technologists, policymakers, and stakeholders about ensuring the conscientious and ethical use of AI in educational settings. It is an asset valuable for educators, users, and policy developers keen on inserting the energy of Generative AI into the consistently disorderly order of the AI era. Cutting-edge methodologies and inclusive of a culture of adaptive change, education can now truly flourish in a world increasingly shaped by AI, supported by modern-day learners and teachers in the twenty-first century and beyond.

LatIAVol. 3
Openalex Percentile: Top 6%
AI in Service Interactions
4.96
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Navigating Education in the Age of Generative AI — Sunitha Purushottam Ashtikar, Geetha Manoharan, et al. · LatIA (2025) | TGRS Research Map | TGRS