Abstract
The rapid advancement of artificial intelligence technologies, exemplified by systems including Open AI’s ChatGPT, Microsoft’s Bing AI, and Google’s Bard (now Gemini 1.5Pro), present both challenges and opportunities for the academic world. Higher education institutions are at the forefront of preparing students for this evolving landscape. This paper examines the current state of AI education in universities, highlighting current obstacles and proposing avenues of exploration for researchers. This paper recommends a holistic approach to AI integration across disciplines, fostering industry collaborations and emphasizing the ethical and social implications of AI. Higher education institutions are positioned to shape an educational environment attuned to the twenty-first century, preparing students to be informed and ethical contributors in the AI-driven world.
Publisher
International Society for the Scholarship of Teaching and Learning
Reference34 articles.
1. Abrahamson, Earle. 2023. “SoTL: The Next AI Generation.” International Society for the Scholarship of Teaching and Learning (ISSOTL), April 4, 2023. https://issotl.com/2023/04/04/sotl-the-next-ai-generation/.
2. Akgun, Selin, and Christine Greenhow. 2022. “Artificial Intelligence in Education: Addressing Ethical Challenges in K–12 Settings.” AI Ethics 2 (3). https://doi.org/10.1007/s43681-021-00096-7.
3. Alshater, Muneer M. 2022. “Exploring the Role of Artificial Intelligence in Enhancing Academic Performance: A Case Study of ChatGPT.” SSRN. http://dx.doi.org/10.2139/ssrn.4312358.
4. Anselmo, Lorelei, Tyson Kendon, and Beatriz Moya. “A First Response to Assessment and ChatGPT in Your Courses.” Taylor Institute for Teaching and Learning, University of Calgary. Accessed January 22, 2024. https://taylorinstitute.ucalgary.ca/first-response-assessment-and-chatgpt.
5. Bender, Emily M., Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021. “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–23. https://dl.acm.org/doi/10.1145/3442188.3445922.