As we embark on a new academic year, the integration of artificial intelligence (AI) into Canadian classrooms presents an intriguing challenge. The nation's AI strategy emphasizes the importance of AI literacy and responsible adoption, especially in post-secondary education. However, the path forward is not without its complexities.
Navigating the AI Landscape
In a recent case study co-authored with Emily Ballantyne, we explored the experiences of faculty members at Mount Saint Vincent University (MSVU) regarding AI policy in higher education. Our findings highlight the need for practical guidance on when and how to incorporate AI into learning, and the impact it has on trust, assessment, and student agency.
Uneven Guidance and Policy Gaps
Across Canadian universities, the guidance on AI varies significantly. Some institutions opt for restrictions and academic integrity rules, while others promote responsible experimentation. This inconsistency creates a challenging environment for both students and instructors.
The Heart of the Matter: Student-Educator Relationships
AI has disrupted the fundamental relationship between students and educators, altering the dynamics of trust, learning, and assessment. International AI policy frameworks exist, but many were developed before the widespread availability of tools like ChatGPT, leaving a gap in practical implementation.
A Canadian Perspective
When considering AI policy in Canadian post-secondary institutions, equity and Indigenous commitments must be prioritized. This includes addressing inequities in teaching conditions and recognizing the unique responsibilities to Indigenous communities.
The University Case Study
Our mixed-methods study involved 53 faculty members, revealing concerns about trust, authenticity, and the burden of policing AI. Faculty reported limited current AI use but anticipated increased future adoption. They expressed worries about academic integrity, workload, and the lack of clear institutional expectations.
Beyond Universities: Teacher Education
Teacher education programs play a crucial role in preparing educators to bring AI literacy into K-12 classrooms. Teacher candidates need clear guidance to navigate these challenges and protect the integrity of learning.
Faculty Perspectives
Faculty members are cautious but not opposed to AI. They recognize the need for students to learn how to use AI effectively, and many see benefits such as faster feedback and new learning support. However, they also experience confusion, stress, and fear.
The Need for Clear Policies
AI policies are often described as unclear and inconsistent, leaving instructors to improvise. This approach can lead to suspicion and a lack of trust, as one faculty member put it, "I feel like a detective, not a teacher."
The Impact of AI on Classroom Life
AI has introduced a hidden workload for educators, who now must decide whether student work is AI-assisted. This undermines trust, especially in reflective or personal writing, and creates additional strain.
A Relational Approach to AI Policy
AI policy should focus on the social and emotional aspects of teaching and learning. The CARE Framework proposes four commitments: critical AI literacy, accountable governance, relational-affective pedagogy, and ethical orientation. These commitments aim to connect institutional rules with the experiences of faculty and students, and align with Canadian educational values.
Actionable Steps for Universities
Universities can take the following steps to address these challenges:
- Recognize and support faculty workload by providing time, training, and institutional support as they adapt to AI.
- Build trust through shared AI agreements, establishing clear expectations for AI use at the beginning of each course.
- Implement structured professional learning opportunities for faculty, students, and teacher candidates to understand AI and make informed decisions.
The Future of AI in Canadian Education
Canada's AI strategy has the potential to shape the way teachers plan, teach, assess, and reflect. Teacher candidates should be equipped with practical questions to evaluate AI tools and their impact. The choice between surveillance and control, or evidence, trust, and shared responsibility, will define the success of AI integration in Canadian classrooms.
Conclusion
As we navigate the complexities of AI in education, it's crucial to prioritize the human element. The relationships between students and educators must remain at the core of our approach. By adopting a relational and practical framework, we can ensure that AI enhances, rather than undermines, the learning experience.
