Artificial intelligence is becoming an increasingly visible part of education. Students can use generative AI tools to support research, writing and other schoolwork, while teachers are also exploring technology for lesson preparation and classroom activities. However, a June 2026 survey of Canadian grades 6 to 12 teachers points to significant gaps in training and institutional guidance.
The survey, conducted by Leger for the Fraser Institute, found that 64.7 percent of teachers surveyed said their school or school board had not provided training or tools to help them identify students using AI. The findings cover teachers across Canada in both public and independent schools.
Understanding the Teacher Training Challenge
The growing use of AI creates a complicated environment for educators. Teachers are expected to understand new technologies while also determining how those tools should be used in academic settings.
According to the survey, 63.6 percent of respondents said their school or board had not provided training on how to instruct students to use AI appropriately. In addition, only 46.8 percent said their school or board had provided training on using AI for classroom lessons and materials.
Consequently, educators may be navigating rapidly changing technology without consistent institutional guidance. This makes professional development increasingly important as schools establish their approach to AI.
Student AI Policies Remain Limited
Training is only one part of the issue. Clear policies can also help teachers and students understand what constitutes acceptable AI use in academic work.
The survey found that 42.3 percent of teachers said their school had a policy concerning student AI use. Meanwhile, only 34.8 percent reported that their school had a policy covering AI use by staff.
Therefore, schools face two connected challenges. Teachers need practical knowledge about AI while institutions need clear expectations governing its use. Without both elements, educators may encounter uncertainty when responding to AI assisted assignments.
Why Identifying AI Use Is Difficult
Generative AI can produce text, summaries, explanations and other forms of content within seconds. At the same time, AI generated material can be edited, combined with original work or incorporated into a student’s writing process.
As a result, identifying AI use is not necessarily a straightforward technical exercise. Teachers may need to consider the overall quality of an assignment, a student’s previous work, classroom discussions and the way the work was developed.
This distinction matters because an AI detection tool alone may not provide enough context to determine how a student used technology. Schools therefore need broader approaches that combine digital literacy, transparent classroom expectations and meaningful assessment practices.
Generative AI Is Changing Classroom Practices
Generative AI developments are moving quickly, creating both opportunities and questions for educators. Tools capable of producing written responses, images, explanations and other content are becoming increasingly accessible.
Meanwhile, AI trends and insights continue to influence discussions about education and digital learning. Teachers can potentially use AI to support lesson preparation, generate classroom materials and explore new teaching approaches.
The survey indicates that training has not progressed at the same pace. Only 49.3 percent of teachers surveyed said their school or board had provided AI training for class lessons and other in class materials in the Fraser Institute’s study description.
Machine Learning and Digital Literacy
Machine learning advancements are also expanding the capabilities behind modern AI systems. Although teachers do not necessarily need technical expertise in machine learning, understanding the basic principles behind AI can help educators communicate more effectively with students.
Digital literacy is becoming particularly important. Students need to understand that using AI responsibly involves more than knowing how to generate an answer. They also need to evaluate accuracy, recognize limitations, protect personal information and understand when AI assistance may conflict with academic expectations.
Furthermore, teachers need similar knowledge so they can guide students through these decisions.
What Schools Can Learn From the Findings
The survey provides a useful signal for education leaders considering how to prepare schools for continued AI adoption. Training should address practical classroom situations rather than focusing exclusively on the technical capabilities of AI.
For example, professional development can explain how generative AI works, how students may use it during assignments and how educators can design assessments that emphasize understanding and individual reasoning.
At the same time, school policies should be understandable and consistent. Students and teachers need clarity about acceptable uses of AI, disclosure expectations and situations where AI assistance may not be appropriate.
Connecting Education With the Future of AI
Automation and future tech are likely to influence education alongside many other sectors. Therefore, preparing students for an AI enabled economy requires more than teaching them how to use individual tools.
Future of AI research increasingly focuses on questions surrounding human and machine collaboration, responsible deployment and the changing nature of work. Schools can contribute to this preparation by developing students’ critical thinking, research skills and ability to evaluate AI generated information.
Moreover, teachers need opportunities to develop their own AI literacy as these technologies continue to evolve.
AI Industry Updates and Education
AI industry updates increasingly affect organizations outside the technology sector. Education is one of the areas where developments can quickly influence daily practices, professional expectations and institutional policies.
For AITechInfoPro readers, the Canadian findings demonstrate how technology adoption depends not only on the availability of sophisticated tools but also on training, governance and human understanding.
Ultimately, effective AI adoption requires people to understand both the possibilities and limitations of the technology.
Actionable Insights for Educators and School Leaders
The Canadian survey highlights the importance of pairing AI adoption with professional development and clear institutional policies. Schools can strengthen their approach by giving teachers practical training, establishing transparent expectations and encouraging responsible AI literacy among students.
For educators, continuous learning can make it easier to understand emerging AI capabilities and respond to new classroom challenges. For school leaders, regular policy reviews can help ensure that guidance remains relevant as technology changes. For more AI trends and insights, technology analysis and practical coverage of emerging innovation, reach out to AI Tech Info Pro.
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