The World Innovation Summit for Education, WISE, an initiative of Qatar Foundation, hosted a policy dialogue event titled “AI & Teacher Readiness in K–12 Education: Global Research Findings and Strategic Implications”, bringing together education experts, policy voices and school practitioners to examine how artificial intelligence standards can be practically implemented in school environments.
The discussion focused on one of the most urgent questions facing education systems today: how prepared are teachers to use AI meaningfully, responsibly and effectively in the classroom?
As artificial intelligence continues to move rapidly into schools, the event highlighted the need for stronger teacher support, professional development, national evaluation frameworks and AI tools that reflect local language, culture and curriculum needs.
AI Is Moving Faster Than Education Policy
Opening the dialogue, Selma Talha-Jebril, WISE Research and Policy Director, said artificial intelligence is entering classrooms faster than schools and policy systems have had time to prepare for it.
Her remarks set the tone for a discussion that moved beyond the excitement around AI and focused instead on implementation, readiness and long-term educational value.
The event examined how teachers are currently engaging with AI, with many using it for administrative or preparatory tasks. However, panelists noted that the real opportunity lies in moving towards deeper, transformational classroom applications that directly support teaching, learning and student innovation.
Teacher Agency and Professional Development Take Centre Stage
Moderated by Maimoona Junjunia, Research and Policy Associate at WISE, the discussion emphasized the importance of teacher agency in the adoption of AI.
Panelists stressed that AI in education cannot succeed through technology deployment alone. Teachers need sustained professional development, clear guidance, trusted tools and the confidence to integrate AI into pedagogy in ways that enhance learning outcomes.
The dialogue also addressed the importance of evaluating AI tools rigorously before integrating them into schools at scale. In this context, national initiatives such as the WISE EdTech Testbed were highlighted as essential mechanisms for testing whether education technologies deliver real value in classroom environments.
Shahd Dauleh, Innovation Manager at WISE, said the WISE testbed helps move the conversation beyond hype by ensuring that AI tools are genuinely effective for teaching and learning.
AI Tools Must Reflect Language, Culture and Values
A key theme emerging from the discussion was the need for AI systems in education to be contextually relevant.
Lolwa Al-Nuaimi, Assistant Director of the E-Learning & Digital Solutions Department at the Ministry of Education and Higher Education, emphasized that for AI to succeed in education, it must reflect local language, culture and values while equipping teachers with the right tools.
This point is particularly important for Qatar’s education sector, where strong digital infrastructure and national innovation ambitions have created a foundation for technology-led transformation. However, the discussion made clear that infrastructure alone is not enough.
AI tools must be aligned with curricula, classroom realities, student needs and the cultural context in which learning takes place.
Research Must Inform Policy and Practice
The event also reinforced the broader purpose of the WISE Research & Policy Dialogue Series: ensuring that research findings do not remain confined to academic publications, but actively inform policy, practice and system-level decision-making.
Selma Talha-Jebril noted that research only creates impact when it reaches the people with the power and responsibility to act on it. The dialogue series was positioned as a bridge between evidence, policy and education practice.
This approach reflects a wider shift in education reform: moving from research as information to research as a tool for system transformation.
From Classrooms to Innovation Labs
Practical examples from schools offered a closer look at how AI can support student learning and innovation.
Iyad Salameh, Teacher of Robotics and Automation at the Qatar Science and Technology Secondary School for Boys, shared how his students have used AI in hands-on projects. He noted that such projects show how students can use AI to build real-world solutions, turning classrooms into innovation labs.
These examples highlighted the potential of AI to move beyond efficiency and automation. When implemented thoughtfully, AI can support creativity, problem-solving, applied learning and student-led innovation.
For Qatar’s education ecosystem, this aligns closely with the country’s broader ambitions around digital transformation, innovation and future-ready skills.
Qatar’s Teacher Readiness Gap
One of the most important insights shared during the dialogue was the gap between teachers’ interest in AI and their understanding of how it works in education.
According to Selma Talha-Jebril, WISE research found that 60% of teachers reported that AI helped them tailor instruction to meet diverse student needs. However, in Qatar, only 30% of surveyed teachers reported a strong understanding of how AI works in education.
The finding points to a critical challenge for education systems: teachers are not necessarily resistant to AI, but many need tools, training and frameworks that are relevant to their classrooms.
For Qatar, a country with advanced digital infrastructure and a strong national commitment to innovation, the opportunity is clear. The next phase of AI in education will depend not only on access to technology, but on building teacher confidence, capability and trust.
Why It Matters
The WISE policy dialogue placed teacher readiness at the centre of the AI education conversation. As AI becomes increasingly embedded in K–12 education, the success of these tools will depend on how well they serve teachers and students in real classroom settings.
For Qatar, the discussion was especially significant. The country has invested heavily in education, digital infrastructure and innovation. The challenge now is to ensure that AI adoption in schools is guided by evidence, cultural relevance, teacher empowerment and measurable learning impact.
The message from the dialogue was clear: AI can support the future of education, but only when teachers are prepared, supported and placed at the centre of the transformation.
