Generative AI Literacy for Learning: A Dual Perspective on Learning About and With GenAI

The focus of the current research efforts on artificial intelligence (AI) literacy is mainly on learning about it. However, there is a need for the duality between learning about and with generative artificial intelligence (GenAI) to augment the learning experience in schools and corporate settings. The current study, therefore, aimed to propose a model of GenAI literacy for learning by adopting the grounded theory approach. The participants were professors from four countries and diverse relevant fields. The data were collected through semi-structured interviews and open-ended questions. The findings revealed readiness factors, core dimensions, and potential consequences of GenAI literacy. The proposed model also covers the potential challenges and negative impacts of GenAI. This study demonstrates that learning about GenAI serves as a basis for learning with GenAI, leading to potential consequences. The proposed model has the potential to serve as a guide for future research and practice on enhancing GenAI literacy for society.

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Publication Details

Journal
Beijing international review of education
Published
2026-02-13
DOI
https://doi.org/10.1177/25902547261421651
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Generative AI Literacy for Learning: A Dual Perspective on Learning About and With GenAI

Muhammed Murat Gümüş, Mehmet Kara
Beijing international review of education
Artificial Intelligence in Healthcare and Education
article

Generative AI Literacy for Learning: A Dual Perspective on Learning About and With GenAI

Muhammed Murat Gümüş, Mehmet Kara
article en

Abstract

The focus of the current research efforts on artificial intelligence (AI) literacy is mainly on learning about it. However, there is a need for the duality between learning about and with generative artificial intelligence (GenAI) to augment the learning experience in schools and corporate settings. The current study, therefore, aimed to propose a model of GenAI literacy for learning by adopting the grounded theory approach. The participants were professors from four countries and diverse relevant fields. The data were collected through semi-structured interviews and open-ended questions. The findings revealed readiness factors, core dimensions, and potential consequences of GenAI literacy. The proposed model also covers the potential challenges and negative impacts of GenAI. This study demonstrates that learning about GenAI serves as a basis for learning with GenAI, leading to potential consequences. The proposed model has the potential to serve as a guide for future research and practice on enhancing GenAI literacy for society.

Beijing international review of educationVol. 8(1)
Amasya Üniversitesi (TR)
Quality Education
Openalex Percentile: Top 58%
Artificial Intelligence in Healthcare and Education
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