With the 2025/2026 Teacher’s Card, the amount changes and, above all, the best way to spend it changes. If the budget is tighter, it becomes essential to choose tools and training that generate a real return: time saved, better materials, more effective inclusion. In this article you’ll find a practical guide to using artificial intelligence for teachers as a “multiplier” of the bonus—without waste and with attention to compliance and best practices.
Teacher’s Card 2025/2026: what changes (€383 and opening to substitute teachers)
The hot topic of the 2025–2026 teacher bonus is twofold: on the one hand the adjustment of the amount, on the other the expansion of eligibility. For many colleagues, the most immediate novelty is the wording circulating as a reference:teacher’s card amount 383 euros. In practice, the margin for error in purchases shrinks: a “wrong” choice weighs more, while a scalable choice (subscriptions, courses, reusable resources) weighs less in the long run.
The other novelty concernssubstitute teachers teacher’s card: the opening includes (according to the most common indications) annual substitute teachers and those with a contract through June 30. For fixed-term staff, this means being able to plan professional investments that were previously postponed or paid out of pocket.
Sources and citations: for subject-matter content, request verifiable references and always check textbooks, regulations, articles, or academic texts.
Investment strategy: how to “multiply” the €383 with AI (without waste)
“Multiplying” doesn’t mean spending more, but getting more value for every euro: hours regained, higher teaching quality, updated and personalized materials. With artificial intelligence for teachers, ROI is high when the tool becomes part of the routine (planning, assessments, feedback) and doesn’t remain an isolated experiment.
Three practical criteria for choosing high-impact AI tools:
- Measurable time savings: if it doesn’t save you at least 1–2 hours a week between preparation and grading, it’s unlikely to pay off.
- Quality and control: it must allow you to verify sources, set constraints (level, objectives, rubrics), and reduce hallucinations or generic answers.
- Personalization and inclusion: maximum value if it adapts explanations, exercises, and feedback to different levels, SEN/SLD, and language needs.
Recommended budget allocation (adapt it to your context):40–50%on a tool/service you’ll use every week (annual subscription or school package),30–40%on targeted training (didactic prompting, assessment, privacy), and the remaining10–20%on reusable digital resources (databases, digital books, subject content). This way, the €383 becomes an “engine” that keeps producing value even after the bonus expires.
Concrete use cases for teachers (upper secondary and university): teaching, assessment, inclusion
To make AI truly useful, tie it to recurring tasks. Here are replicable examples, designed for upper secondary school and university.
1) Lesson and UDA design: start from objectives and prerequisites, then ask for an outline with timing, activities, and formative checks. Add constraints (class, track, level, available tools) and get variants: a “basic” version, an enhanced one, and a simplified one. The gain is twofold: you reduce planning time and increase coherence between objectives, activities, and assessment.
2) Creating tests and rubrics: generate a balanced set of questions (knowledge, application, reasoning) and a leveled rubric. Then do a control pass: ask the AI to identify ambiguities, difficulty, and possible alternative correct answers. Result: fairer tests and more transparent grading criteria.
3) Assisted feedback and correction: for written work, you can have the AI produce structured feedback (strengths, 2 areas for improvement, micro-goals for revision). You keep the final decision on the grade, but you standardize the language and reduce cognitive load. It’s one of the fastest ways to “recover” hours every week.
4) Differentiation and SEN/SLD support: ask for simplified versions of texts (controlled vocabulary, shorter sentences), concept maps in list form, graded exercises, and “misunderstanding-proof” instructions. For non-native speakers, prepare glossaries and explanations with contextualized examples. Here AI doesn’t replace inclusive teaching: it makes it more sustainable over time.
5) Study tutoring: AI can simulate an oral examiner, propose questions with increasing difficulty, create review plans, and explain typical mistakes. This way the student studies better and you can focus on targeted interventions, instead of repeating the same explanations on a continuous loop.
StudierAI with the Teacher’s Card: how it can help enhance lessons and study
If you want a tool oriented toward teaching and studying,StudierAIcan become a piece of your 2026 Teacher’s Card plan: it supports the creation and adaptation of materials, exercises, and explanations, also helping students review in a guided way. The idea isn’t to “delegate” teaching, but to make preparation faster and practice more effective—especially when you have many classes or courses.
A practical approach: start a 2–3 week pilot on a specific module (e.g., a literature unit, a physics chapter, a law topic). Define in advance what you want to improve: preparation time, quality of assignments, number of revisions of student work. Then involve students with clear rules (what is allowed, what must be disclosed). If you want to start friction-free, you canstart for freeorsign up for freeand evaluate whether the tool fits into your workflow. To understand the philosophy and the project, you’ll also find details on theabout uspage.
From a budget perspective, integrating a service like this makes sense if you use it to: (a) generate variants of exercises and tests, (b) produce alternative explanations for those who fall behind, (c) prepare simulations and exam questions, (d) create summaries and review paths. This is where “studierai teacher’s card” becomes an operational criterion: you (and your students) will study better, because you reinvest the freed-up time in the educational relationship, labs, discussion, and authentic assessment.
Final checklist: purchases, compliance, and best practices for using AI at school
Before spending the 2025–2026 teacher bonus, use this checklist to avoid mistakes and maximize impact.
- Instructional coherence: the tool solves a real problem (planning, assessments, inclusion) and isn’t “just curiosity.”
- Traceable spending: keep receipts/invoices and verify that the purchase falls within the eligible categories of the Teacher’s Card.
- Privacy and data: avoid entering students’ personal data; prefer anonymous or summarized inputs. Clarify where data are processed and for what purposes.
- Transparency: define a class rule on when AI is allowed and how it must be disclosed (e.g., “draft generated and then revised”).
- Sources and citations: for subject-matter content, request verifiable references and always check textbooks, regulations, articles, or academic texts.
- Institutional policy: align with your school/university’s guidance on digital tools, accounts, authorizations, and activity management.
- Measure impact: choose 2 indicators (grading time, average quality of submissions, reduction in recurring errors) and compare before/after over 4–6 weeks.
With a smaller amount, the 2026 Teacher’s Card rewards those who plan. If you turn the €383 into a smart mix of tools and skills, you get a leverage effect: less time on repetitive tasks and more energy for what really matters—relationship, motivation, critical thinking, and deep learning.
