The Impact of Artificial Intelligence on Higher Education in England
- 1 Oxford Business College (OBC), Oxford, UK
- 2 Oxford Business College (OBC), Oxford, UK
Abstract
In the ever-evolving landscape of technology, artificial intelligence (AI) has emerged to challenge traditional paradigms and revolutionise various sectors including higher education. It is now necessary to investigate how AI integra t ion in higher education institutions in England may affect instructional stra - tegies, operational procedures, and student experiences. This article explores the implications of AI into English higher education sector, highlighting the benefits, challenges, and future prospects. Moreover, it discusses the potential of AI to improve student experiences, streamline administrative tasks, an d transform teaching and learning methods. It emphasizes the benefits of automated assessments, virtual classrooms, and personalised learning. Nevertheless, it is important to consider privacy and ethical concerns, as well as the future role of educators. Therefore, it recognises the necessity of precise regulations and policies to ensure the ethical and responsible application of AI in higher education. By embracing AI while addressing its challenges, England ’ s higher education institutions can deliver a more inclusive, efficient, and effective learning experience for all. In this way, recommendations are provided for stakeholders to navigate the transformative impact of AI on higher education in England.
- Altbach, P. G., & de Wit, H. (2019). Internationalization and Higher Education in Europe. In Internationalization of Higher Education (pp. 3-15). Springer.
- Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company.
- Davies, H. C., Eynon, R., & Salveson, C. (2020). The Mobilisation of AI in Education: A Bourdieusean Field Analysis. Sociology, 55, 539-560. https://doi.org/10.1177/0038038520967888
- Domingos, P. (2018). The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Basic Books.
- European Commission. (2019). Ethics Guidelines for Trustworthy AI. https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai
- Jobin, A., Ienca, M., & Vayena, E. (2019). The Global Landscape of AI Ethics Guidelines. Nature Machine Intelligence, 1, 389-399. https://doi.org/10.1038/s42256-019-0088-2
- Kurzweil, R. (2013). How to Create a Mind: The Secret of Thought Revealed. Penguin Books.
- Selwyn, N. (2019). Should Robots Replace Teachers? AI and the Future of Education. Polity.
- Smith, E. E., Kahlke, R., & Judd, T. (2020). Not Just Digital Natives: Integrating Technologies in Professional Education Contexts. Australasian Journal of Educational Technology, 36, 1-14. https://doi.org/10.14742/ajet.5689
- UNESCO. (2021). Draft Recommendation on the Ethics of Artificial Intelligence. https://unesdoc.unesco.org/ark:/48223/pf0000376757