Preparing Educators and Students at Higher Education Institutions for an AI-Driven World

Authors

DOI:

https://doi.org/10.20343/teachlearninqu.12.16

Keywords:

generative AI tools, AI integration in higher education, skills gap in AI education, AI-driven workforce, complex task generation

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.

Metrics

Metrics Loading ...

Author Biographies

Jamie Magrill, McGill University

Jamie Magrill (CAN) is an MD-PhD student at McGill University. Jamie Magrill holds an MSc in biomedical sciences from the Hebrew University of Jerusalem and an HonBSc from the University of British Columbia.

Barry Magrill, Capilano University Centre for Teaching Excellence

Barry Magrill (CAN) is a coordinator and educational developer in the Centre for Teaching Excellence at Capilano University. Barry Magrill holds a PhD from the University of British Columbia, and an MA and HonBA from York University.

References

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/.

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.

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.

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.

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.

Bommarito II, Michael, and Daniel M. Katz. 2022. “GPT Takes the Bar Exam.” arXiv. https://doi.org/10.48550/arXiv.2212.14402.

Boston University. 2023. “GAIA Policy.” Boston University. https://www.bu.edu/cds-faculty/culture-community/gaia-policy/.

Brown, Joel. 2023. “BU Forms AI Task Force.” BU Today. https://www.bu.edu/articles/2023/bu-forms-ai-task-force/.

Chan, Cecilia Ka Yuk. 2023. “A Comprehensive AI Policy Education Framework for University Teaching and Learning.” International Journal of Educational Technology in Higher Education (20): 38. https://doi.org/10.1186/s41239-023-00408-3.

Chapman University. n.d. “AI Policies.” Chapman University. https://libguides.chapman.edu/AI/policies.

“ChatGPT and Generative AI in the Classroom.” 2023. Office of the Vice-Provost, Innovations in Undergraduate Education, University of Toronto. April 2023. https://www.viceprovostundergrad.utoronto.ca/strategic-priorities/digital-learning/special-initiative-artificial-intelligence/.

Chen, Patricia, Dennis W. H. Teo, Daniel X. Y. Foo, Holly A. Derry, Benjamin T. Hayward, Kyle W. Schulz, Caitlin Hayward, Timothy A. McKay, and Desmond C. Ong. 2022. “Real-World Effectiveness of a Social-Psychological Intervention Translated from Controlled Trials to Classrooms.” NPJ Science of Learning (7): 20. https://doi.org/10.1038/s41539-022-00135-w.

Dwivedi, Yogesh K., Nir Kshetri, Laurie Hughes, Emma Louise Slade, Anand Jeyaraj, Arpan Kumar Kar, Abdullah M. Baabdullah, et al. 2023. “So What If ChatGPT Wrote It? Multidisciplinary Perspectives on Opportunities, Challenges and Implications of Generative Conversational AI for Research, Practice and Policy.” International Journal of Information Management (71): 33. https://doi.org/10.1016/j.ijinfomgt.2023.102642.

Eaton, Sarah, and Lorelei Anselmo. 2023. “Teaching and Learning with Artificial Intelligence Apps.” Taylor Institute for Teaching and Learning, University of Calgary. January 2023. https://taylorinstitute.ucalgary.ca/resources/teaching-with-AI-apps.

Eaton, Sarah. 2022. “Sarah’s Thoughts: Artificial Intelligence and Academic Integrity.” Learning, Teaching, and Leadership. December 9, 2022.

Fletcher, Thandi. 2023. “From Science Fiction to Classroom Reality: How UBC Instructors Are Using AI as a Teaching Tool.” University of British Columbia News. May 2024. https://news.ubc.ca/2023/05/24/from-science-fiction-to-classroom-reality-how-ubc-instructors-are-using-ai-as-a-teaching-tool/.

Fourtané, Susan. 2022. “Artificial Intelligence in Higher Education: Benefits and Ethics.” Fierce Education. https://www.fierceeducation.com/technology/artificial-intelligence-higher-education-benefits-and-ethics.

Gilson, Aidan, Conrad Safranek, Thomas Huang, Vimig Socrates, Ling Chi, R. Andrew Taylor, and David Chartash. 2022. “How Well Does ChatGPT Do When Taking the Medical Licensing Exams? The Implications of Large Language Models for Medical Education and Knowledge Assessment.” medRxiv. https://doi.org/10.1101/2022.12.23.22283901.

Goel, Ashok K. 2023. “AI Teaching Assistant Jill Watson.” Online Education. https://www.onlineeducation.com/features/ai-teaching-assistant-jill-watson.

Harvard Business School. n. d. “Standards of Conduct.” Harvard Business School. https://www.hbs.edu/mba/handbook/standards-of-conduct/Pages/default.aspx.

Kung, Tiffany H., Morgan Cheatham, Arielle Medenilla, Czarina Sillos, Lorie De Leon, Camille Elepaño, and Maria Madriaga, et al. 2022. “Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language Models.” PLOS Digital Health 2 (2): e0000198. https://doi: 10.1371/journal.pdig.0000198.

Moreno, Raul. 2023a. “Media Literacy in the Age of AI, Part I: You Will Need to Check It All.” Oregon State University. https://blogs.oregonstate.edu/inspire/2023/09/05/media-literacy-in-the-age-of-ai-part-i-you-will-need-to-check-it-all/.

Moreno, Raul. 2023b. “Media Literacy in the Age of AI, Part II: A Review of Verified.” Oregon State University. https://blogs.oregonstate.edu/inspire/2023/09/12/media-literacy-in-the-age-of-ai-part-ii-a-review-of-verified/.

Nipissing University. 2023. “Generative AI Guide for Instructors.” Nipissing University. https://www.nipissingu.ca/sites/default/files/2023-07/Generative%20AI%20Guide%20for%20Instructors%20-%20July%207%2C%202023.pdf.

Pavlik, John V. 2023. “Collaborating with ChatGPT: Considering the Implications of Generative Artificial Intelligence for Journalism and Media Education.” Journalism & Mass Communication Educator 78 (1): 84–93. https://doi.org/10.1177/10776958221149577.

Pitso, Teboho. 2023. “Telagogy: New Theorisations about Learning and Teaching in Higher Education Post-Covid-19 Pandemic.” Cogent Education 10 (2): 2258278. https://doi.org/10.1080/2331186X.2023.2258278.

Qadir, Junaid. 2022. “Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education.” TechRxiv. https://doi.org/10.36227/techrxiv.21789434.v1.

Rudolph, Jürgen, Samson Tan, and Shannon Tan. 2023. “ChatGPT: Bullshit Spewer or the End of Traditional Assessments in Higher Education?” Journal of Applied Teaching and Learning 6 (1). https://doi.org/10.37074/jalt.2023.6.1.9.

Southworth, Jane, Kati Migliaccio, Joe Glover, Ja’Net Glover, David Reed, Christopher McCarty, Joel Brendemuhl, and Aaron Thomas. 2023. “Developing a Model for AI Across the Curriculum: Transforming the Higher Education Landscape via Innovation in AI Literacy.” Computers and Education: Artificial Intelligence 4: 100127. https://doi.org/10.1016/j.caeai.2023.100127.

Stanford University. 2023. “Generative AI Policy Guidance.” Stanford University. https://communitystandards.stanford.edu/generative-ai-policy-guidance.

University College London. 2024. “Engaging with AI in Your Education and Assessment.” Accessed January 22, 2024. https://www.ucl.ac.uk/students/exams-and-assessments/assessment-success-guide/engaging-ai-your-education-and-assessment.

University of Michigan. “ECoach.” University of Michigan. https://ai.umich.edu/software-applications/ecoach/.

Zhai, Xiaoming. 2022. “ChatGPT User Experience: Implications for Education.” SSRN. https://ssrn.com/abstract=4312418.

Zhai, Xuesong, Xiaoyan Chu, Ching Sing Chai, Morris Siu Yung Jong, Andreja Istenic, Michael Spector, Jia-Bao Liu, Jing Yuan, and Yan Li. 2021. “A Review of Artificial Intelligence (AI) in Education from 2010 to 2020.” Complexity. https://doi.org/10.1155/2021/8812542.

An AI-generated image showing a brain on top of a stack of papers next to a computer. (Imgae Generated by ChatGPT’s DALL-E)

Downloads

Published

2024-06-24

How to Cite

Magrill, Jamie, and Barry Magrill. 2024. “Preparing Educators and Students at Higher Education Institutions for an AI-Driven World”. Teaching and Learning Inquiry 12 (June):1–9. https://doi.org/10.20343/teachlearninqu.12.16.

Issue

Section

SoTL in Process