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The era of publicly accessible generative Artificial Intelligence (AI) began in late 2022, and shortly after that, its effect on education was already being reported in mainstream media. Today, just a few months after the launch of these AI tools, tens of millions of users are using them daily. This exponential growth of AI tools likely means that AI will be with us going forward. Selwyn (2010) encourages ed tech researchers to consider how modern technologies, such as AI, affect the realities of today through the lenses of ethics, inclusion, and social interactions. As Selwyn suggests, our group hopes to look at AI as it is affecting education presently, focusing more on the social effects of AI rather than hopeful future predictions. Through research, our team aims to answer questions about AI and education regarding social risks, government policies, ethics, accessibility and inclusivity, and the effect on workplace learning.

“Drawing from the insights gained at AI WIPS, our team delved deeper into AI in education.”  

The topic of AI and the team’s areas of interest led our team to a recently held online virtual conference on AI by the Organization for Economic Co-operation and Development (OECD). The conference, titled “International Conference on AI in Work, Innovation, Productivity and Skills,” (AI WIPS) (OECD, 2023) took place in March of 2023. The conference covered AI-related topics such as the risks of AI, government policy, ethics, diversity and inclusion, education, and AI’s effect on the workplace. These topics aligned with the team’s areas of interest in AI. Drawing from the insights gained at AI WIPS, our team delved deeper into AI in education. To better understand the implications of AI in education, we explored a variety of resources that provided valuable perspectives and information.

Just as AI has expanded into many industries, cultures, and borders, so too, did our team expand our scope in searching for credible resources that provided insights, forecasts, and hypotheses on AI technology. With any flourishing trend, less-than-credible sources have joined the conversation. To determine which resources to trust and which ones to discard, each of us applied a critical, analytical, and questioning lens which we have acquired throughout our MALAT journey. In our search for resources to include, our team relied on  resources that are evidence based,  from trusted sources such as academic journals;  Beyond traditional journals, the team found credible resources in our learning event, the  AI WIPS conference, these  included:  education podcasts, blog posts by leaders in education and technology,, ed tech and technology presentations, interviews, and a European draft policy recommendations regarding AI.  

Areas of Inquiry

Areas of interest and questions we are exploring around AI include the nature of the tool’s education professionals are using in learning, and how they affect the pedagogical approaches taken; how will it transform the work learners are doing, how learners demonstrate their knowledge, and how teachers evaluate acquisition and retention of knowledge in meaningful and authentic ways in an AI powered world. Further to that question, if generative AI can write (and pass) examinations, how will that impact the value (both real and perceived) of the credentials we currently use to establish credibility and proof of skill? What policies, procedures, and governance may be needed to ensure development of safe, ethical, and trustworthy AI? Who are the stakeholders that need to be invited to those discussions, and what governing bodies need to be involved? Lastly, what digital literacy skills or tools do we need to develop to help ensure that end users can use these AI tools effectively while being aware of bias, misinformation, and inequities that may be designed into these systems?

AI is a significant technology that stands to change the way we write, do business, develop products, and learn. After examining AI through our learning event (AI WIPS), we gained insight into the impact generative AI tools are having on education, workplaces, people with disabilities, and policymakers. Policies, procedures, and processes will need to be in place to support the changes that AI will bring to organizations, educational institutes, learners, and society. As AI improves, so may our opinions on the use of AI tools. These technologies have the potential to transform (and disrupt) our daily lives in different ways; because of this, we must continue to examine new information on AI and its effects on not just education, but society at large. We invite others to research and understand AI as well. The more research is conducted, and the more educators use AI and share their experiences, the more all of us can learn about how best to leverage these AI tools to improve the ability to teach and learn for both educators and students.

AI Disclosure:

Human Draft (with an AI assisted transition sentence) → Grammarly → ChatGPT → Human Revisions

References

The following list represents our initial starting points for examination of contemporary issues around AI in learning:

Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the era of Generative Artificial Intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4337484

Deshpande, Advait and Sharp, Helen (2022). Responsible AI Systems: Who are the Stakeholders? In: AIES ’22: Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, ACM (pp. 227–236). DOI: http://oro.open.ac.uk/84505/1/84505VOR.pdf

Bessen, J., Pilat, D. (2022, February 21-25). Conversation with Jim Bessen on AI, Innovation, Productivity, and Work. [Conference session]. Organization for Economic Co-operation and Development annual conference, online. https://www.oecd-events.org/2022-ai-wips/onlinesession/ff7a3a8d-bc7a-ec11-94f6-a04a5e7d3e1c

Eaton, S. (2023, February 25). 6 Tenets of Postplagiarism: Writing in the Age of Artificial Intelligence. Learning, Teaching and Leadership. https://drsaraheaton.wordpress.com/2023/02/25/6-tenets-of-postplagiarism-writing-in-the-age-of-artificial-intelligence/

Ethics guidelines for trustworthy AI. (2019, April 8). European Union. https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai

Haleem, A., Javaid, M., & Singh, R. P. (2022). An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challenges. BenchCouncil transactions on benchmarks, standards and evaluations, 2(4), 100089.

Harris, T., & Raskin, A. (2023, March 9). The A.I. dilemma. Center for Humane Technology [YouTube]. https://www.youtube.com/watch?v=xoVJKj8lcNQ

Heaven, W. D. (2023, April 6). ChatGPT is going to change education, not destroy it. MIT Technology Review. https://www.technologyreview.com/2023/04/06/1071059/chatgpt-change-not-destroy-education-openai/

High-level expert group on artificial intelligence. Shaping Europe’s digital future. (n.d.). https://digital-strategy.ec.europa.eu/en/policies/expert-group-ai 

Nguyen, G. (2023, February 22). Digital pedagogy toolbox: Let’s make friends with ChatGPT. BCcampus. https://bccampus.ca/2023/02/22/digital-pedagogy-toolbox-lets-make-friends-with-chatgpt/

OECD. (2023). Artificial intelligence in work, innovation, productivity and skills conference 2023. https://www.oecd-events.org/ai-wips-2023

Ulanoff, L. (2023, April 12). ChatGPT is now writing college essays, and higher ed has a big problem. TechRadar. https://www.techradar.com/news/i-had-chatgpt-write-my-college-essay-and-now-im-ready-to-go-back-to-school-and-do-nothing