Proceedings of the Focus Conference (TFC 2024)

The Responsiveness of Higher Education to Artificial Intelligence: A Review of Curriculum, Teaching, and Ethical Considerations

Authors
Siduduzile Lizzly Ndlovu1, *
1Department of Teaching and Learning Centre, Mangosuthu University of Technology, KwaZulu Natal, Durban, South Africa
*Corresponding author. Email: ndlovu.sduduzile@mut.ac.za
Corresponding Author
Siduduzile Lizzly Ndlovu
Available Online 31 December 2024.
DOI
10.2991/978-94-6463-630-7_27How to use a DOI?
Keywords
Artificial Intelligence; Higher Education; Ethical Considerations; Curriculum Development
Abstract

In the rapidly evolving technological landscape, artificial intelligence (AI) is significantly impacting teaching, learning, and assessment (TLA) in higher education. This study reviews how higher education institutions (HEIs) are responding to the challenges and opportunities presented by AI. The study aims to understand systems and teaching methodologies are being adapted to prepare students for an AI-driven future job market, examine the ethical considerations involved in integrating AI technologies into educational systems, and explore strategies to ensure equitable access to AI-related resources and opportunities for all students.

The study employed qualitative research to conduct an integrative comprehensive review of existing literature review-where policy documents, previous publications and case studies from various HEIs worldwide. Data is collected, and this research highlights innovative practices and emerging trends in AI integration within higher education. Key areas of focus include the redesign of curricula to incorporate AI skills and knowledge, the adoption of AI-enhanced teaching tools and platforms, and the development of interactive learning experiences that leverage AI capabilities.

The study also addresses critical ethical considerations such as data privacy, algorithmic fairness, and the potential for AI to exacerbate existing educational inequalities. By synthesizing findings from diverse sources, this review provides a nuanced understanding of the far-reaching consequences of AI for learning and academic practices.

The research concludes with practical recommendations for HEIs to integrate AI effectively and ethically into their educational frameworks. These recommendations aim to support institutions in fostering an inclusive and adaptive learning environment that equips students with the necessary skills and knowledge to thrive in an AI-driven world.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Focus Conference (TFC 2024)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
31 December 2024
ISBN
978-94-6463-630-7
ISSN
2667-128X
DOI
10.2991/978-94-6463-630-7_27How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Siduduzile Lizzly Ndlovu
PY  - 2024
DA  - 2024/12/31
TI  - The Responsiveness of Higher Education to Artificial Intelligence: A Review of Curriculum, Teaching, and Ethical Considerations
BT  - Proceedings of the Focus Conference (TFC 2024)
PB  - Atlantis Press
SP  - 502
EP  - 515
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-630-7_27
DO  - 10.2991/978-94-6463-630-7_27
ID  - Ndlovu2024
ER  -