| Title | Augmented or Automated |
|---|---|
| Subtitle | Examining the Role of AI in Reimagining Instructional Design in Higher Education |
| DOI | https://doi.org/10.64449/9780906785959-05 |
| Landing page | https://ujonlinepress.uj.ac.za/index.php/ujp/catalog/book/279 |
| Publisher | UJ Press |
| Published on | 2025-08-29 |
| Long abstract | Rapid advancements in AI (artificial intelligence) and big data analytics have ushered in transformative possibilities for HE (higher education) and opened up new possibilities for enhancing teaching and learning. This chapter critically examines the applications of AI in instructional design, assessing current use cases and potential future implementations. It discusses the impact of AI on learning analytics, student modelling, intelligent and adaptive learning systems, AI teaching assistants, and tutors. The analysis aims to identify the trade-offs between augmentation and automation in learning design processes, emphasising the need for ethical and equitable applications. The chapter also explores policy implications to ensure widespread access to beneficial AI technologies. While AI presents opportunities to enhance teaching and learning, the chapter underscores the importance of preserving human expertise and agency in education. However, the rapid development of AI technologies also raises significant challenges, including ethical concerns, integration costs, and the potential displacement of educators’ roles. These complexities demand a thoughtful approach that balances innovation with caution. Examples from industries like healthcare and finance demonstrate the potential of AI to revolutionise practices while maintaining human oversight. |
| Page range | pp. 129-152 |
| Landing Page | Full text URL | Platform | |||
|---|---|---|---|---|---|
| https://ujonlinepress.uj.ac.za/index.php/ujp/catalog/book/279 | Landing page | https://ujonlinepress.uj.ac.za/index.php/ujp/catalog/view/279/1260/5288 | Full text URL |