What is in the new toolbox in the AI ​​school manager in education?

The Ministry of Education has published its Sure and efficient use of AI in education: leadership toolbox This week to guide educators to carefully integrate artificial intelligence (AI) in teaching and learning.

This report highlights the AI ​​transformer potential to personalize teaching, reduce workloads and promote inclusive classrooms. However, this also underlines the importance of fighting against the risks and the involuntary consequences that accompany the use of AI to educate young people.

The role of AI in personalized learning

A central theme of the toolbox is the capacity of the AI ​​to personalize learning, the adaptation of educational material to the individual needs of students:

• The AI ​​can simplify complex texts for students with lower reading levels, ensuring that they are engaged in class discussions without feeling excluded.
• Students learning English as an additional language (EAL) can access the translations or personalized resources that help them better understand lessons.

These applications improve not only learning, but also guarantee that students feel valued and included, regardless of their capacities or history.

For students with special educational needs and handicaps (SEND), AI tools can be particularly transformer:

• Assistance technologies such as text discourse can help students who find it difficult to write, while AI systems can describe scenes for visually impaired learners.
• These tools allow students to participate more fully in educational activities, to promote independence and inclusion.
• AI multilingual capabilities also support EAL students and their families, helping to fill communication gaps and create a more inclusive learning environment.

Support the reduction in the workload for teachers

The toolbox emphasizes how AI can mitigate heavy workloads with which teachers are confronted. AI tools can generate:

• Course plans
• Quiz
• Differentiated calculation sheets adapted to variable student capacities

For example, an AI tool can create multiple choice questions aligned on the national program, releasing time for teachers to focus on the direct commitment of students and other high impact activities.

Teachers must always examine the comments generated by AI to ensure that it is correct.

AI also supports feedback and evaluation processes. Systems can analyze students' work and provide detailed comments, such as identification of recurring grammatical errors or suggesting means to strengthen an argument. These tools are particularly precious in large classrooms, where the provision of individualized comments can take time. However, the toolbox emphasizes that Teachers must always examine the comments generated by AI To ensure that it is correct, relevant and aligned with learning objectives.

The Expert Daisy Christodoulou stressed that AI tools can provide instant comments on students' work, allowing teachers to identify the gaps in knowledge and adjust the teaching accordingly.

• For example, an AI system can analyze students' responses to a mathematical problem and report false ideas, allowing the teacher to intervene quickly and effectively.
• Christudoulou notes that this ability to provide targeted information in a timely manner can transform the way educators approach the evaluation, making it more dynamic and reactive to the needs of students.

ECS of knowledge in leadership and strategic use of AI

One of the most critical points raised in the Toolkit report is the lack of theoretical and educational knowledge among many leaders responsible for making decisions concerning the adoption of AI. There is a danger that decisions concerning AI can be motivated by external pressures to adopt new technologies rather than a in -depth understanding of the way in which these tools are aligned with educational objectives.

Do not feel under pressure to select an AI tool until you are ready.

As Rose Luckin, professor emeritus of design centered on the learner at UCL London, warns in the report:
“I always say to educators, learn quickly, but act more slowly. Do not feel pressurized to join an AI. Do not feel under pressure to select an AI tool until you are ready. It is really important that you learn enough about artificial intelligence first so that you can strategically decide AI to serve you and then design the way you interact with strategic AI. ”

This advice highlights the importance of learning and preparation before implementation. Without a clear understanding of AI pedagogy and capacities, managers are likely to introduce tools that fail to meet educational challenges or involuntarily inhibit cognitive development.

Involuntary risks and consequences

Although AI offers significant advantages, the toolbox identifies several risks that educators must approach:

• Excessive dependence on AI
  Students can bypass critical learning processes, such as writing or solving problems, based on AI tools to perform tasks. For example, a student can use an AI chatbot to generate a test, missing the opportunity to develop their own skills.
• Biases in AI systems
  AI tools are formed on large data sets, which may contain inherent biases. This can lead to results that strengthen stereotypes or exclude various perspectives. For example, a history lesson generated by AI could present a narrow and Eurocentric vision of events.

Teaching is fundamentally relational, based on empathy and the ability to meet the unique needs of students.

• IMPROVAL OF THE RESULTS (hallucinations)
  AI systems can generate responses to plausible but fully incorrect consonance. Examples include manufactured historical facts or misinterpreted scientific concepts. Educators must carefully verify AI outings to prevent the spread of disinformation. Very educated professionals have already fallen into this trap. On June 6, 2025 Lady Victoria Sharp, president of the division of the Bench of the King of the High Court, warned against the abusive use of AI in legal work The following cases involving quotes of manufactured case law. She highlighted the dangers of plausible but false AI results and urged lawyers to verify their work, stressing that ethical responsibilities must be confirmed to maintain confidence in the justice system.
• Ethical and data confidentiality concerns
  The use of students' work in AI systems without consent could violate intellectual property rights and expose data sensitive to misuse. Respect for data protection laws, such as the British GDPR, is essential to protect the work of students. Likewise, the digitization of copyright protected resources such as manuals is also worrying.
• Impact on human interaction
  Teaching is fundamentally relational, based on empathy and the ability to meet the unique needs of students. Excessive dependence on the risks of AI decreasing these critical aspects. For example, although automated feedback systems can save time, they do not have the personal touch of teachers' comments, which can motivate and inspire students in a way that AI cannot.

Best practices for the implementation of AI

To alleviate these risks and maximize the potential of AI, the toolbox offers several recommendations:

• Human surveillance: Teachers and managers must critically assess the content generated by AI to ensure that it aligns with educational objectives.
• Promote critical thinking: Students must be encouraged to critically assess the information generated by AI. For example, teachers can design activities where students check AI's responses, promoting analytical skills.
• Improve, do not replace: AI should complete, and not replace, traditional teaching methods. For example, a teacher can use AI to generate a lesson plan but always design interactive activities to promote deeper learning.
• Professional development: Schools should provide continuing education to help teachers use AI tools effectively and safely.
• Start small and on a scale, think: Start with pilot projects in specific fields, such as the automation of comments or the creation of personalized resources, before expanding the use of AI more widely.

Conclusion

THE Sure and efficient use of AI in education: leadership toolbox Offers a complete guide to integrate AI into teaching and learning.

While AI has the potential to revolutionize education by reducing workloads, personalizing education and supporting inclusion, its advantages can only be fully carried out if they were implemented in a thoughtful and ethical way.