Generative AI in Higher Education: Guiding Principles for Teaching and Learning (Volume 1)
The rise and promises of Artificial Intelligence in Education (AIED) has long been a topic of both excitement and skepticism (Chiu, 2023; Dwivedi et al., 2023; Farrokhnia et al., 2023; Hwang et al., 2020; Wang & Li, 2024). Higher education institutions exhibit different perspectives towards Gen...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Windsor
2025-07-01
|
| Series: | Journal of Teaching and Learning |
| Subjects: | |
| Online Access: | https://jtl.uwindsor.ca/index.php/jtl/article/view/9756 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The rise and promises of Artificial Intelligence in Education (AIED) has long been a topic of both excitement and skepticism (Chiu, 2023; Dwivedi et al., 2023; Farrokhnia et al., 2023; Hwang et al., 2020; Wang & Li, 2024). Higher education institutions exhibit different perspectives towards Generative AI (GenAI), with some institutions regarding it as a double-edged sword, a threat to academic integrity and thus outright prohibiting its application. Others, however, have actively incorporated it into academic practices as an innovative tool, developing ethical usage frameworks to ensure appropriate usage and integration. Nartey’s (2025) book Generative AI in Higher Education: Guiding Principles for Teaching and Learning aims to guide higher education institutions in embracing, accepting and implementing GenAI to transform the educational experience. It addresses key concerns about AI use in higher education, such as ethics, authenticity, equity, accessibility, and job impact. The author argues that these concerns should not hinder institutions from moving forward. Instead, they should guide the development of policies and guidelines that ensure AI’s benefits are realized without increasing existing inequalities or compromising the core mission of higher education: educating, inspiring, and preparing students to contribute meaningfully to society. The book provides guiding principles for using GenAI effectively and ethically to enhance teaching and learning without undermining academic integrity. It outlines a strategic roadmap for institutional implementation while critically addressing the complexities and ethical dilemmas inherent in adopting GenAI technologies within higher education contexts. This book clarifies that GenAI systems, like ChatGPT, are not inherently problematic; the central challenge lies in users' ethical engagement with them. It stresses that responsible interaction, not the technology itself, shapes societal outcomes. The book is divided into the following sections: an introduction, chapter one, chapter two, and chapter three.
|
|---|---|
| ISSN: | 1911-8279 |