In 2026, talking abouttransversal skillsis no longer a “nice-to-have”: it’s an explicit, observable, and increasingly assessable learning objective. For high school and university teachers, the challenge is twofold: designing activities that developsoft skillsand collecting reliable evidence without turning the classroom into a bureaucracy lab. In this scenario,educational AIcan become concrete support: it helps structure rubrics, generate feedback, track progress, and make the learning pathway transparent.StudierAIfits right here: in teachers’ day-to-day work, with an evidence-oriented, continuous-improvement approach. If you want to explore how it works in practice, you can alsostart for freeand see whether it fits your context.
Why transversal skills have become central in 2026
In recent years, schools and universities have accelerated a change that was already underway: it’s not enough to “know”—you need to be able to use knowledge in complex contexts. Immediate access to information (and AI’s ability to synthesize it) has shifted value to what remains distinctive about learning:reasoning,collaboration,communication, managing uncertainty, and the ability to learn independently.teacher evaluation(in a professional, not punitive sense) is also intertwined with the ability to design environments that develop competencies: documenting objectives, criteria, and progress becomes a marker of teaching quality.
Which soft skills to develop and how to make them observable in class
To avoid impressionistic assessments, it helps to select a limited set of priority competencies and describe them in terms of observable behaviors. In many 2026 contexts, a “core set” of transversal skills includes:
- Problem solving: analyzes constraints, formulates hypotheses, tests solutions, and justifies choices.
- Teamwork: assigns roles, listens, negotiates, respects deadlines, and contributes fairly.
- Communication: presents clearly, adapts register, argues with evidence, and uses feedback to improve.
- Critical and information literacy: evaluates sources, recognizes assumptions, distinguishes facts/opinions, flags uncertainties.
- Self-regulation: plans, monitors work, manages priorities, reflects on mistakes, and defines next steps.
The key point is to turn these competencies intoobservable indicatorsand into evidence collected during authentic tasks. Some practical examples, adaptable across different subjects:Evidence: decision logs (why we chose this solution), successive versions of an assignment, group meeting minutes, peer feedback, oral presentations with Q&A, final micro-reflections (“what I would redo and why”).Authentic tasks: designing a solution to a real problem (energy, mobility, science communication), simulating a professional case (brief, constraints, deliverable), conducting a structured debate, producing a poster or a report with evaluated sources.formative: it guides next steps, rather than merely capturing the outcome.
Educational AI and teacher evaluation: opportunities, limits, and ethics
In 2026, educational AI is used mainly as a “copilot” for repetitive processes and to bring coherence to evidence collection. The most concrete opportunities for teachers include:
- Generating and adapting rubrics: criteria aligned with objectives and tasks, with clear level descriptors.
- Faster, more targeted feedback: comments on argumentative structure, clarity, use of evidence, and revision suggestions.
- Synthesizing observations: collecting teacher notes and turning them into indicators and trends over time.
- Personalization: proposing targeted activities for students or groups based on observed needs.
However, when it comes to assessment (of students and, indirectly, to reporting and teacher evaluation), clear guardrails are needed. The main limits are well known:Bias: models trained on non-neutral data can penalize communication styles, linguistic backgrounds, or different cultural approaches.Privacy: assignments, audio, observations, and metadata are personal data; they must be handled with data minimization, limited retention, and informed consent when necessary.Transparency: students and families must understand the criteria and the use of AI; the teacher must be able to explain how a judgment is reached.Reliability: AI can “hallucinate” or be inconsistent; it cannot replace professional observation.
How StudierAI can help teachers assess and strengthen transversal skills
For a teacher, the real problem isn’t “having the list of soft skills,” but managing a sustainable flow: design → observation → feedback → revision → evidence for assessment.StudierAIis designed to support this cycle with practical tools, keeping the teacher at the center of decisions.1) Defining rubrics and criteria: the teacher selects 2–3 transversal skills (e.g., problem solving, teamwork, communication) and builds an essential rubric. AI can propose descriptors, but the final version remains aligned with the class, subject, and level.2) Guided activities and authentic tasks: the teacher sets assignments that require justified choices (not just the final product). StudierAI can help generate variants of the prompt, reflection questions, and quality criteria to make the competencies “visible.”3) Fast, consistent feedback: based on assignments, presentations, or observation notes, AI suggests feedback tied to the rubric (e.g., “your argument improves if…,” “in the team there’s a lack of an explicit decision on roles and timelines…”). The teacher can edit, select, and personalize, reducing time and increasing consistency.4) Tracking progress: instead of accumulating scattered notes, evidence is collected over time (versions, self-assessments, peer review, observations). This supports formative assessment and makes it easier to justify a summative evaluation.5) Documentation that is also useful at the professional level: when it’s necessary to report on teaching choices (department, degree program, projects), having criteria, rubrics, and traces of improvement enables an evidence-based professional narrative, also useful in teacher evaluation processes.about us. To try it in your context, you cansign up for freeand start with a single unit: a few competencies, clear rubrics, light but meaningful evidence.
