New Perspectives in Science Education

Edition 15

Accepted Abstracts

AI Governance and Strategy Implications for K-12 Education: Global Guidance from a Canadian Context

Peter Holowka, University of Calgary West Point Grey Academy (Canada)

Abstract

Primary and secondary education has transformed significantly in recent decades, shifting digital technology from a peripheral novelty to an essential pedagogical infrastructure.  During the COVID-19 pandemic and in the years following, cloud computing and ubiquitous access to learning resources online have escalated.  A nearly constant connection to cloud computing resources has also facilitated the wide adoption of Artificial Intelligence (AI).  This paper outlines the evolution of educational technology infrastructure in Western Canadian K-12, including the foundations for the proliferation of AI.  This paper will also discuss emerging AI governance challenges in education.  As IT systems evolve, the challenges for contemporary leaders in education and technology are shifting from questions about the execution of initiatives to the long-term implications of those initiatives, both intended and unintended.  In addition to the binding legal considerations of AI use within the K-12 context, determined by legislation such as the European Union Artificial Intelligence Act, leaders must be similarly attentive to more nuanced and less clearly defined challenges, such as viability, sustainability, stakeholder perceptions, and cultural shifts.  This paper will explore these complex global issues relating to AI governance within K-12 education, as these foundational and structural topics continue to have an increasing impact on student learning in the classroom and beyond.
 
Keywords: AI Governance, K-12, Strategy, Cloud Computing, Education
 
References:

Batool, A., Zowghi, D. & Bano, M. AI governance: a systematic literature review. AI Ethics 5, 3265–3279 (2025). https://doi.org/10.1007/s43681-024-00653-w

Cowin, J. (2025). Reflexivity as a Compass: The European AI Act and Its Implications for U.S. Higher Education Institutions. Journal of Systemics, Cybernetics and Informatics, 23(4), 51-56. https://doi.org/10.54808/JSCI.23.04.51

Eutsler, L., Rivera, B., Barnes, M., & Cummings, J. (2025). Artificial intelligence policies in K-12 school districts in the United States: a content analysis shaping education policy. Journal of Research on Technology in Education, 1–25. https://doi.org/10.1080/15391523.2025.2476589

Holowka, P. (2018). Cloud Computing and K-12 School IT Infrastructure in Western Canada: From Challenges to Opportunities. International Research Journal of Electronics and Computer Engineering4(1), 17-22.  http://dx.doi.org/10.24178/irjece.2018.4.1.17

Holowka, P. (2018). IT Leadership and cloud computing adoption in Western Canadian K-12 school districts. Unpublished Doctoral Dissertation, University of Calgary. Canada.

Kowch, E. (2021). Leading transformation with digital innovations in schools and universities: Beyond adoption. In Digital transformation of learning organizations (pp. 145-168). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-55878-9

Levine, M. A. J. (2020). Troubling clouds: Gaps affecting privacy protection in British Columbia’s K-12 education system. BC Freedom of Information and Privacy Association. https://fipa.bc.ca/wp-content/uploads/2020/09/2020_troubling_clouds_LMS_report.pdf

Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act) and amending Regulations (EC) No 300/2008, (EU) No 167/2013, (EU) No 168/2013, (EU) 2018/858, (EU) 2018/1139 and (EU) 2019/2144 and Directives 2014/90/EU, (EU) 2016/797 and (EU) 2020/1828 (Artificial Intelligence Act), OJ L 2024/1689 (2024). https://eur-lex.europa.eu/eli/reg/2024/1689/oj

Van Mechelen, M., Smith, R. C., Schaper, M. M., Tamashiro, M., Bilstrup, K. E., Lunding, M., ... & Sejer Iversen, O. (2023). Emerging technologies in K–12 education: A future HCI research agenda. ACM Transactions on Computer-Human Interaction30(3), 1-40. https://doi.org/10.1145/3569897
 

 

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