Education systems globally are grappling with the integration of artificial intelligence (AI) into teaching and learning methodologies. Central to this discussion are educators, who are tasked with monitoring AI’s use among students while also evaluating its potential benefits for their own teaching practices.
The Teaching and Learning International Survey (TALIS) 2024, conducted by the OECD, revealed that approximately 41% of teachers utilize AI in their pedagogy. This usage varies significantly by region, with 75% of educators in the United Arab Emirates and Singapore employing AI, compared to just 14% in France. Among teachers who do use AI, the most prevalent applications include efficiently researching and summarizing topics (68%) and generating lesson plans or activities (64%). Conversely, fewer educators are using AI for assessing student work (26%) or analyzing participation and performance data (25%).
Many teachers acknowledge the transformative potential of AI in education. A notable 52% believe it can help tailor learning materials to diverse student abilities. However, they also express concerns; around 72% feel that AI may enable students to misrepresent their work, while 66% worry about the technology providing inappropriate or incorrect recommendations.
For those educators not currently using AI, the primary barrier appears to be a lack of knowledge and skills, cited by 75%. Interestingly, only 48% of these teachers oppose the use of AI in education, suggesting that many are eager to adopt it but unsure of how to proceed. The reluctance to embrace AI due to institutional restrictions is minimal, with just 12% attributing their hesitance to school policies against its use.
In response to the evolving educational landscape, several education systems are ramping up training for teachers on AI utilization. About 38% of teachers across the OECD reported that AI training was part of their professional development in the past year. The disparity in training uptake is notable; for instance, nearly 76% of teachers in Singapore received AI training, while only 9% of their counterparts in France did so.
This professional development correlates strongly with the actual use of AI in classrooms. The data indicates that teachers are not independently adopting these technologies; rather, they are receiving structured guidance on their effective and safe application in educational contexts.
The TALIS report also highlights the relationship between teacher workload and stress. A significant 52% of teachers identify excessive administrative tasks as a major source of stress, surpassing other common stressors, such as maintaining discipline (45%) and managing lesson loads (31%). In countries like Korea, teachers report spending an average of over six hours weekly on administrative responsibilities, with figures close to five hours in Japan and South Africa, compared to under three hours across the OECD.
This administrative burden presents a ripe opportunity for AI to streamline processes. Given that administrative tasks are generally more amenable to automation than pedagogical ones, AI could assist educators by handling paperwork and effectively communicating student progress to parents. By alleviating some of this workload, teachers could refocus their energies on their core mission—teaching students.
The increasing embrace of AI in education underscores a significant shift in pedagogical approaches. As systems adapt and provide necessary training, the landscape of education may evolve to leverage technology in ways that enhance both teaching and learning experiences.
OECD | OpenAI | IBM | Microsoft | NVIDIA
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