Preparing Students for Future Employment
AI is increasingly integrated into various fields; from engineering and healthcare, to business and the arts. It is important for instructors to understand how AI is being used in their area of expertise so that they can better prepare students for a rapidly evolving employment landscape. By understanding AI’s impact and applications, students can better navigate their career paths, contribute to advancements in their field, and address ethical considerations surrounding AI use.
AI Applications and Their Impact Across Job Sectors
Explore the following links to learn more about how AI is currently being used across job sectors.
Exploring Applications of GenAI Across the Disciplines
Literature Reviews
Webinars
- – webinar hosted by Maple League Universities (January 31, 2023)
- – webinar hosted by Vanderbilt University (May 17, 2023)
Additional Websites and Resources
References
AI and the Future of Post-Secondary Education. (2024, January 4). The Conference Board of Canada.
Biswal, A. (2024, July 16). 24 cutting-edge artificial intelligence applications in 2024. Simplilearn.
Bruff, D. (n.d.). Educational technology. Agile Learning.
Cardona, M., Rodriguez, R., & Ishmael, K. (2023, May). Artificial intelligence and the future of teaching and learning: Insights and recommendations. United States of America Department of Education.
Chiu, T., Xia, Q., Zhou, X., Chai, C., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computer and Education: Artificial Intelligence, 4. https://www.sciencedirect.com/science/article/pii/S2666920X2200073X
Chui, M., Manyika, J., Miremadi, M., Henke, N., Chung, R., Nel, P., & Malhotra, S. (2018, April). Notes from the AI frontier: Insights from hundreds of use cases. McKinsey Global Institute.
Department for Education. (2023, November). The impact of AI on UK jobs and training. Government of the United Kingdom.
Green, A. (2023). The great acceleration: CIO perspectives on generative AI. MIT Technology Review.
Higher Education Strategy Associates [HESA]. (n.d.). Observatory on AI policies in Canadian post-secondary education. https://higheredstrategy.com/ai-observatory-home/
Holt, L. (2024, March 6). A map for generative AI for education: An update to our map of the current state-of-the-art. Medium.
Kochhar, R. (2023, July 26). Which U.S. workers are more exposed to AI on their jobs? Pew Research Center.
Maple League Universities. (2023, January 31). AI and Academic: The End of the Essay?
McDonald, N., Johri, A., Ali, A., & Hingle, A. (2024). Generative Artificial Intelligence in Higher Education: Evidence from an Analysis of Institutional Policies and Guidelines. Cornell University.
McVerry, J. (2024, March 4). Is artificial intelligence defined the same way across disciplines? PhysOrg.
Moya, B., Eaton, S., Pethrick, H., Hayden, K., Brennan, R., Wiens, J., McDermott, B., & Lesage, J. (2023). Academic integrity and artificial intelligence in higher education contexts: A rapid scoping review protocol. Canadian Perspectives on Academic Integrity, 5(2).
Q.ai – Powering a Personal Wealth Movement. (2023, January 6). Applications of artificial intelligence acress various industries. Forbes.
Salman, J. (2023, June 8). How college educators are using AI in the classroom. Future of Learning.
Sciotex (n.d.). How can different industries use AI?
Sperling, K., Stenberg, C., McGrath, C., Akerfeldt, A., Heintz, F., & Stenliden, L. (2024). In search of artificial intelligence (AI) literacy in teacher education: A scoping review. Computers and Education Open, 6.
Takyar, A. (n.d.). AI use cases & applications across major industries. LeewayHertz.
Vanderbilt University. (2023, May 17). ChatGPT – The Future of the Classroom.
Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Aritificial intelligence in education: A systematic literature review. Expert Systems with Applications, 252(A).