The oral exam of the2026 upper secondary school final examincreasingly often requires students to be able to navigate complex situations: connect knowledge, justify choices, interpret documents, and handle unexpected questions. For teachers, this means rethinking part of exam preparation: not just revision, but deliberate training for oral performance. In this context, theoral simulationbased on areal-life scenariobecomes a high-impact teaching tool: it brings practice closer to the authentic conditions of the interview, makes transversal skills observable, and offers common ground for rubrics and formative feedback. Platforms such asStudierAIcan support this work with personalized simulations, variable prompts, and reports useful for designing coherent assessments. In this article we propose an operational approach, with pedagogical evidence and practical guidance applicable in class and at home.
What changes in the 2026 final exam oral: skills, contexts, and connections
In recent years the interview has tended to value linear recall of content less and the ability to use it more: interpreting an input, building a coherent discourse, making relevant connections, justifying choices, and handling requests for clarification. In other words, the oral exam is moving closer to an authentic task: the student must demonstratemastery(knowledge),use(application) andawareness(metacognition) in an integrated way.
From a teaching perspective, this shift implies three points of attention. First: the centrality ofcontexts. Even when the starting point is disciplinary, effective questions ask students to place content within a broader framework: historical, scientific, social, ethical, technical. Second: the quality ofconnections. It is not enough to “link” topics: you need to make the relationship explicit (cause-effect, analogy, evolution of a concept, transfer of a model). Third: attention tocommunicationas a skill: clarity, appropriate vocabulary, time management, responding to objections, use of examples.
What do exam boards actually observe? Beyond differences between tracks, fairly stable indicators recur: coherence of the presentation, conceptual accuracy, ability to select relevant information, autonomy in reasoning, terminological precision, ability to connect disciplines without forcing it, and management of interaction (questions, rephrasing, clarifications). When classroom practice remains centered on “chapter-based” oral questioning, the student risks arriving prepared on content but fragile at the crucial step:transferringwhat they know to a new situation.
For this reason, talking about the 2026 final exam also means designing an exam-prep pathway that includes: authentic oral tasks, use of sources or documents, follow-up questions, and moments of reflection on “how I studied and how I answered.” The oral simulation based on real-life scenarios is one of the most effective tools for making this pathway systematic and assessable.
Why oral simulation based on real-life scenarios improves performance and study method
A realistic scenario (for example: “recommend an energy choice for a municipality,” “argue a point of view on a bioethical issue,” “explain a physical phenomenon by linking it to a current event,” “interpret a text and defend a thesis”) forces the student to do what the oral exam truly requires: select knowledge, organize an argumentative line, anticipate objections, use examples, and conclude with a synthesis. From a pedagogical standpoint, this activates three well-documented levers.
1)Situated learning and transfer: when knowledge is used in a context, it becomes more accessible and flexible. The student does not “repeat,” but applies; and application makes gaps and misconceptions visible that revision can mask.
2)Retrieval practice and generation: actively retrieving information (without reading notes) and generating answers improves long-term memory and the ability to recall under stress. Oral simulation, if repeated with variations, becomes a gym for active retrieval far more powerful than rereading.
3)Metacognition and self-regulation: the real-life scenario makes the process visible. The student can ask: “What is my thesis?”, “What evidence am I bringing?”, “Am I rambling?”, “Am I using the correct vocabulary?”. This awareness improves study method because it orients preparation toward observable goals (presenting, arguing, connecting), not toward the illusion of competence given by “I feel like I remember.”
A often underestimated effect concerns anxiety. Repeated oral simulation, with clear criteria and a non-judgmental climate, works as gradual exposure: the student learns to manage timing, pauses, and uncertainty. Moreover, scenarios reduce “parroted” answers: if the question changes, the answer must be constructed. This pushes toward deeper exam preparation: concept maps, examples, disciplinary vocabulary, well-motivated connections.
For teachers, the advantage is twofold: on the one hand, you observe skills that traditional oral questioning struggles to bring out; on the other, you collect qualitative data useful for teaching (which concepts are not transferred, where the argument breaks down, which connections are stereotyped). Simulation, therefore, is not only “training for the exam,” but a tool for improving teaching.
How to design effective simulations: structure, rubrics, and formative feedback
An effective oral simulation is not born from “improvising difficult questions.” It requires light but rigorous planning, making the activity sustainable in class and useful for the 2026 final exam. Below is a replicable structure, adaptable to subjects and tracks.
1) Define the observable objective (1 minute). Before writing the scenario, clarify what you want to see: “builds a thesis and supports it with two pieces of evidence,” “explains a process with appropriate vocabulary,” “connects two disciplines by justifying the link,” “weighs pros and cons of a choice.” The objective guides questions and rubrics.
2) Build the real-life scenario (2–3 minutes). A scenario works if it contains: a concrete context, a role (who is speaking), an audience (to whom), a constraint (time, resources, criteria), and a clear task. Cross-disciplinary example: “You are a consultant for a local authority: propose a measure to reduce environmental impact, explaining the scientific principles and the social implications. Anticipate a possible objection and respond.”
3) Set times and phases (5–12 minutes). A sustainable in-class format can be: 2 minutes of preparation (outline), 4–6 minutes of presentation, 2–3 minutes of questions. For groups: one presents, one observes with the rubric, one asks questions; then rotate. Short, frequent repetition is worth more than a single long simulation at the end of the year.
4) Prepare adaptive questions. The best questions are not “trick questions,” but steps: they start with clarifications, move to application, and reach evaluation/argumentation. Examples of progression: “Define…”, “Apply it to this case…”, “Compare with…”, “Which choice is more sustainable and why?”.
5) Use an essential rubric (4 criteria, 4 levels). A rubric that is too detailed slows things down. A lean grid makes feedback consistent and helps students understand “what counts.” Typical criteria for oral simulation: disciplinary accuracy, organization/cohesion, argumentation and use of examples, communication (vocabulary, clarity, time management).
6) Give formative feedback in 3 moves:evidence(“you did/said…”),impact(“this makes it clear/confusing because…”),next step(“next time, try to…”). Feedback must produce a concrete action: a mini-skill to train in the next simulation.
- Ask the student to open with a one-sentence thesis (before going into details).
- Train the use of two examples: one “classic” disciplinary example and one linked to a current case (real-life scenario).
- Include a metacognitive check question: “what is the weakest step in your reasoning?”.
- Have them repeat only the last part (30–60 seconds) after the feedback, to immediately consolidate the correction.
7) Archive “micro-evidence” of progress. Even without complex digital tools, you can collect: the rubric level, two feedback notes, and a goal for the next simulation. In a few weeks, useful patterns emerge: students who know but don’t structure, students who speak well but with inaccuracies, solid students who are not very flexible in questions.
StudierAI in class and at home: personalized simulations, progress tracking, and more targeted assessments
Integrating oral simulations consistently takes time: devising scenarios, varying questions, maintaining coherence with rubrics and objectives. Here tools likeStudierAIcan lighten the operational load, leaving the teacher in charge of instructional direction. The idea is not to “delegate assessment,” but to obtain a training environment that generates many more practice opportunities, with controlled variations and a record of progress.
In class, StudierAI can be used in workshop mode: small groups work on a real-life scenario, prepare an outline, then simulate the oral exam. The teacher can decide the focus (for example: quality of connections, terminological precision, handling questions) and use a shared rubric. At home, the student can repeat the same scenario with variations, increasing the amount of retrieval practice without consuming lesson time.
Three features are particularly useful in exam preparation and in building more targeted assessments:
- Personalized simulations by level and objective: the scenario can be calibrated to prerequisites, subject, and the skills to be observed (presentation, argumentation, connections).
- Adaptive questions: after the answer, prompts can probe weak points or ask for examples, fostering flexibility and handling the unexpected (central in the 2026 final exam).
- Progress tracking: a memory of attempts (strengths, areas for improvement, next objectives) helps turn oral simulation into a pathway, not an isolated episode.
From an instructional design standpoint, the added value is coherence: simulation outcomes can guide micro-interventions (targeted revision, vocabulary exercises, building maps, argumentation exercises) and also the choice of assessments. If it emerges that a class struggles to justify connections, the next assessment can include a task of “justifying the link” between two concepts, rather than a purely factual check.
To make use sustainable, a weekly routine can help: one short in-class simulation (on a rotation), one or two at-home simulations with a varied real-life scenario, and a debrief in which each person brings a “strength” and a “next step.” In this way technology remains a means and teaching keeps its direction: training observable skills, reducing anxiety through practice, and building a more effective study method.
If you want to try it with your students, you canstart for freeorsign up for freeto create the first simulations and assess their impact on presentation, argumentation, and connections. To learn more about the project’s educational vision, you can also consultabout us.
