TheTeacher’s Card 2026is not just a “voucher to spend”: it can become a real accelerator of skills for contemporary teaching, especially when oriented toward artificial intelligence. In this guide you’ll find a practical method to turn the bonus intodigital training for teachers, chooseAI educational softwareand integrate tools likeStudierAIresponsibly. If you want to start experimenting right away, you canstart for freeand build a path tailored to your subject.
Teacher’s Card 2026: what really changes (and what stays the same)
The 2026 framework pushes toward a more “traceable” logic aligned with training purposes. Among the most discussed new features of the 2026 decree are:extension to annual substitute teachers(subject to specific requirements and time windows) andmore detailed rules on hardware, software, and servicesthat can be purchased. In practice: less room for “borderline” spending and more attention to documentation, correct invoicing, and consistency with professional development.
What stays the same? The purpose: supporting self-training and teaching innovation. Expenses for books and texts (including digital), training courses, cultural events, and tools useful for teaching activities generally remain eligible. Where the risk of disputes increases is when the purchase looks like generic consumption or cannot be linked to a training objective: for example, devices without a teaching rationale, services not attributable to training, or “all-inclusive” subscriptions that are hard to justify.
Practical tip: before buying, prepare a short personal note (even just in a file) withneed, objective, classroom use, and impact on students. It’s a good defense in case of checks and, above all, it helps you avoid wasting the bonus.
From “catalog” spending to investment: how to choose digital and AI training without waste
To turn the bonus into growth, think in terms of an annual plan. A simple 4-step method:
- Define 1–2 measurable teaching objectives (e.g., reduce prep time, increase formative feedback, improve inclusion).
- Map the skills to develop: prompt design, assessment with rubrics, data literacy, privacy and copyright, designing activities with AI.
- Choose tools and courses with clear criteria: content quality, support, updates, transparency about data and models, classroom applicability.
- Evaluate the teaching ROI: which activities improve, how much time you save, what evidence you can collect (e.g., rubrics, feedback examples, materials).
Examples of real needs. For upper secondary school: designing differentiated tests, creating leveled exercises, supporting students with SLD/SEN, building guidance pathways and transversal skills. For university: managing large cohorts, improving feedback on assignments, supporting tutoring and guided study, building annotated bibliographies and academic writing activities. In all cases, the point is not “buying AI,” but choosingAI tools for upper secondary school and university teachersthat solve concrete, documentable problems.
What to buy with the bonus: AI hardware, software, and services (compliance checklist)
If the goal is to bring AI into teaching practice, the most useful categories tend to combinetraining + tools. Here’s what to consider, staying consistent with the purposes of the Teacher’s Card 2026.
- Hardware: laptop/tablet for producing materials, webcam and microphone for hybrid lessons, digital pen, portable scanner, headphones for noisy environments.
- Software and licenses: content editors, accessibility tools, subscriptions to learning platforms, AI licenses for writing/summarizing/quizzes with clear policies.
- Services: certified courses, workshops, instructional coaching, professional communities, specialist webinars on assessment and AI.
Compliance checklist (also useful for understandinghow to use the Teacher’s Card for online platforms): check that the description of the good/service is clear, that the invoice or receipt is correctly made out, that the payment is traceable, and that the purchase is consistent with professional development and teaching. Keep: invoice, order confirmation, any course syllabus, and a short note on how you will use it (teaching units, activities, rubrics). If you buy an AI subscription, prioritize providers that clearly state data handling, retention times, and the option to opt out of training.
StudierAI in class and in preparation: concrete use cases for teachers
When it comes toAI teacher bonus, the typical mistake is looking for “the magic feature.” More effective is adopting an assistant that helps you design, produce, and refine. WithStudierAIyou can work on repetitive, high-impact tasks while keeping teaching control in your hands. If you want to try it with a pilot class, you cansign up for freeand set up a sustainable workflow.
Practical use cases (adaptable to upper secondary school and university):
- Instructional design: generate variants of the same activity for different levels, with explicit objectives and prerequisites.
- Material creation: study sheets, guiding questions, examples and counterexamples, subject-specific glossaries, prompts for debates or seminars.
- Formative assessment: rubrics, “tiered” feedback (minimum/expected/excellent), suggestions for self-assessment and revision.
- Personalization and inclusion: controlled language simplification, adaptations for SLD/SEN, catch-up pathways with micro-goals.
Responsible integration tip: define in advance what AI can do (e.g., brainstorming, rephrasing, examples) and what must remain human (choosing objectives, assessment criteria, decisions on individual cases). Then build a routine: 10 minutes of generation, 20 minutes of critical review, 5 minutes of checking against sources and the syllabus.
Best practices and risks: privacy, copyright, transparency, and assessment with AI
Adopting AI requires a trust pact: with students, families, and the institution. The essential safeguards can be summed up in four areas.Privacy: avoid entering students’ personal or sensitive data into prompts; use compliant accounts and settings; favor platforms with clear policies.Copyright: don’t “upload” protected materials without authorization; cite sources and check licenses; teach students to distinguish reworking from copying.Transparency: make it explicit when and how AI is used (by you and by students), defining what is allowed in exercises and tests.Assessment: AI can support feedback and rubrics, but the evaluative decision must be reasoned and human; avoid automatisms on authentic tasks and creative work.
Classroom guidelines (minimal but effective): 1) declare AI use in assignments; 2) attach a brief “process trace” (steps, choices, revisions); 3) prohibit entering personal data; 4) always require verification with sources. Finally, to choose reliable platforms, check: readable terms of use, data handling, the ability to disable training, support, and the presence of an identifiable responsible entity. If you want to learn about the project’s approach and principles, visitabout us.
