Staying ahead with generative artificial intelligence for learning: navigating challenges and opportunities with 5Ts and 3Rs

ABSTRACT

Generative Artificial Intelligence (AI)’s emergence is viewed as a disruptive technological advancement that has been beneficial for most educational purposes but also coupled with emerging challenges and potentially destabilizing effects. Given the unprecedented onset and surge in interests, education stakeholders are often pressured to adopt such emergent technologies with little space and time to seek better understanding and to attain literacy. This paper brings together existing contributions to identify a list of five common themes (5Ts) and various uses of generative AI for improving students learning and future education research. The challenges and opportunities from the use of generative AI in education were also explored, and as part of a rethink of how stakeholders can continue to be relevant in a dynamic learning environment with emerging technologies, three “R” guidelines (3Rs) are also proposed to aid educators and students to stay ahead of the curve in addressing challenges and embracing opportunities arising from the use of generative AI for learning.

KEYWORDS:

• Generative AI
• AI in education
• Learning
• Challenges and opportunities
• Emergent Technologies

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Acknowledgements

The views expressed in this paper are the author’s and do not necessarily represent the views of the host institution.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

There is no data from this paper to be shared or deposited.

Correction Statement

This article was originally published with errors, which have now been corrected in the online version. Please see Correction (http://dx.doi.org/10.1080/02188791.2024.2318125)

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Funding

The author(s) reported there is no funding associated with the work featured in this article.

Notes on contributors

Alwyn Vwen Yen Lee

Alwyn Vwen Yen Lee is an education research scientist and lecturer at the National Institute of Education, Nanyang Technological University, Singapore. His main research and teaching interests are in Artificial Intelligence in education (AIED), learning analytics, knowledge building, technology-supported assessment (TSA), and Internet of Things (IoT).