This page is currently under construction and is not fully complete. You are welcome to enjoy the ideas in their current form.
This information and set of resources are more geared toward promoting professional learning and supporting educators as they navigate this AI landscape.
2-12/25
BE IT RESOLVED artificial intelligence be recognized as an instructional support tool that can enhance, but never supplant, a teacher’s professional roles, judgment, expertise or relational engagement with students.
https://teachers.ab.ca/news/highlighted-resolutions-accepted-ara-2025
Teachers’ outlook on the future impact of AI on education and learning
POSITIVE (somewhat or very)
29.4%
NEGATIVE (somewhat or very)
37.2%
NEITHER positive nor negative
14.5%
NOT SURE
18.9%
ATA Survey Results from December 2023 (McRae, 2024).
4.2.9.0 Artificial Intelligence
4.2.9.1 Student safety and data privacy should be primary considerations in the use of artificial intelligence tools in the classroom. [2023, 2024]
4.2.9.2 Artificial intelligence tools used in schools should be evaluated before implementation for ownership of data, bias, discrimination, accuracy and potential for harm. [2023, 2024]
4.2.9.3 Understanding of artificial intelligence benefits and concerns, including algorithms and data collection/ use, should be part of technology use in schools. [2023, 2024]
Several concerns that are being identified by teachers, which are shared by other stakeholders can be address by adoption and professional development.
As these occur, there will be further opportunities for research and resource development.
Educators need to be equipped with knowledge about HOW to teach with AI but also what to teach ABOUT AI (Kajiwara et al., 2023; Touretzky et al., 2019; Wang & Lester, 2023).
The co-design of K-12 curriculum with subject experts on AI and curriculum development is essential. (Wang & Lester, 2023; Wong et al., 2020; Yau et al., 2022; Yim & Su, 2024)
Alberta is in an excellent position to lead this development with AI experts at local universities as well as nationally recognized AI institutions like Amii.
Research around ethical concerns specific to AIED have increased.
Research around professional development has increased with examples and suggestions for highly effective creation of curriculum and professional development (Crompton et al., 2022; Su et al., 2023).
There remains a lack of classroom studies involving AI in the K-12 North American context with adoption outpacing research (Lane, 2023).
This is due to low adoption in classrooms which is a result of fewer opportunities for professional development.
This is a cycle that feeds itself.
AI Literacy is the first milestone but it is not where we stop.
Based on the conclusions drawn by Resnick & Rusk (2020) on the differences between computational thinking and computational fluency where literacy is being able to Read, Fluency is being able to create a story.
AI Literacy is a set of competencies that enables individuals to critically understand, evaluate, and effectively interact with AI technologies. It encompasses the ability to:
Know and Understand: Gain foundational knowledge about AI, its principles, and how it works.
Use: Apply AI tools and technologies in various contexts, including online, at home, and in the workplace.
Evaluate: Critically assess the implications, benefits, and limitations of AI systems.
Ethical Considerations: Recognize and address ethical issues related to AI, ensuring responsible and fair use.
Communicate and Collaborate: Engage in meaningful interactions with AI and collaborate with AI systems.
AI Fluency is a set of advanced competencies that enables individuals to innovate, manage, and ethically integrate AI technologies into complex and novel contexts. It encompasses the ability to:
Deeply Understand: Attain a comprehensive and nuanced understanding of AI, its advanced principles, and intricate workings.
Innovate: Develop and implement new AI-driven solutions to address emerging challenges and opportunities.
Critically Evaluate: Conduct in-depth assessments of AI systems, considering long-term implications, potential biases, and impacts.
Ethically Manage: Manage AI initiatives with an emphasis on ethical considerations, ensuring fairness, transparency, and accountability.
Create with AI: Utilize AI as a cognitive extender to co-create and enhance human capabilities, going beyond mere content generation.
This increases the gains we can make during these cycles.