Top 10 AI Prompts and Use Cases and in the Education Industry in Switzerland

Swiss schools and universities are already experimenting with AI to personalise lessons, trim administrative load and give teachers more time for human-centered teaching - an approach aligned with the Federal government's push to boost AI skills, research and ethical frameworks in education (Switzerland national AI strategy report - AI Watch), while case studies stress AI's power to adapt content in real time and improve outcomes (Case study: AI transforming Switzerland's education system).

That mix of strong research hubs, canton-level decentralisation and real classroom pilots explains why up to a quarter of Swiss students may already be turning to AI tools in personal ways - and why practical upskilling matters: short, applied courses such as Nucamp's Nucamp AI Essentials for Work bootcamp (15 weeks) teach the prompt-writing and prompts-for-pedagogy skills schools need to adopt tools responsibly without losing the teacher's irreplaceable role.

“AI is useful and full of potential but must be used thoughtfully and with caution.”

Methodology: Nucamp's research pulled together Swiss policy papers, media coverage and industry surveys to surface AI prompts and classroom use cases that work in cantonal systems and respect Swiss data rules; primary inputs included the 2025 white paper calling for

human‑AI co‑thinking as a skill on par with reading and math - Human-AI Co‑Thinking white paper (May 2025)

and reporting on Switzerland's 2025 regulatory and platform shifts that shape safe school deployments - Swissinfo article: AI developments in Switzerland 2025.

Industry analyses (CorpIn, SSBM) helped translate high‑level goals into practical checks: measureable KPIs, data‑quality prerequisites and integration steps so pilots don't stay isolated.

The methodology prioritised (1) alignment with Swiss legal and FDPIC concerns, (2) classroom‑tested prompt patterns from live pilots and sector reports, and (3) training pathways that map to applied courses - hence the focus on short, skills‑first offerings such as Nucamp's AI Essentials for Work bootcamp that teach prompt design, prompt safety and job‑based application in 15 weeks.

MagicSchool AI can help Swiss teachers move from overwhelm to targeted action by generating differentiated, standards-aligned lesson plans and teacher supports that save prep time while keeping pedagogy front and centre; the platform's menu - including rubric generators, feedback assistants and vocabulary activities - maps neatly to the Universal Design and multiple‑representation approaches Edutopia recommends for differentiated instruction (Edutopia guide to AI and differentiated instruction for teachers), and Colorín Colorado highlights MagicSchool as a practical option for creating leveled lessons and home communication for multilingual learners (Colorín Colorado AI strategies for multilingual learners).

In a Swiss canton context where teachers must adapt materials for mixed-ability classes and respect data rules, MagicSchool's ready-made scaffolds and rubric templates let a teacher sketch three learner pathways (visual, scaffolded text, project) from a single lesson seed - a concrete “one-source, three-levels” shortcut that keeps the teacher in control of accuracy and cultural fit.

For schools piloting short, skills-first PD, MagicSchool can be an efficient partner for getting differentiated plans into classrooms without extra late-night planning sessions.

“This is a super cool differentiation tool.”

AI-powered question-paper generators are rapidly moving from pilot projects to practical tools Swiss educators can use to save time and expand assessment formats: the University of St.

Gallen already runs 47% of its written exams digitally - freeing up tens of thousands of pages of paper and enabling multimedia tasks that were impossible on paper - and project teams point to clear opportunities to integrate AI for smarter question creation and marking (University of St. Gallen digital exams rollout).

Generative models can suggest item banks, create differentiated MCQs and case prompts, and power formative quizzes teachers can tweak; UNIL's guidance even recommends teachers test LLMs on past exam questions and highlights tools such as Wooclap and Wooflash for auto-generating MCQs and flashcards (UNIL FAQ on AI in teaching and assessment).

Pilots at EPFL show promise - and a warning - about mixing AI with evaluation: retrieval-augmented approaches can improve reliability, but human oversight remains essential to avoid students learning AI mistakes rather than course content (EPFL study on generative AI in learning).

For Swiss schools, that means using question generators to scale fair, varied assessments while keeping supervised formats and privacy-first models at the centre.

“You learn something better if you have to explain it, but studies have shown that in large classes, only the top students put in that kind of effort.” - Ola Svensson, EPFL

Eklavvya-style systems bring rubric-driven, automated grading for descriptive answers to Swiss classrooms by turning messy, time‑consuming marking into a predictable workflow: upload rubrics, batch essays from your LMS, and get criterion-by-criterion scores and feedback teachers can review and adapt.

These rubric-first graders mirror what platforms such as the rubric-based CoGrader AI essay grading tool and enterprise scoring engines like the Learnosity Feedback Aide AI-assisted scoring tool promise - fast, consistent scoring that preserves teacher control, integrates with Google Classroom/Canvas and sends only anonymized text to models for privacy-conscious deployments.

For Swiss schools juggling multilingual classes and strict data expectations, the practical appeal is simple: more frequent, standards-aligned writing practice without hundreds of late nights, plus analytics that surface classwide weaknesses for targeted reteaching.

Used thoughtfully, Eklavvya-type grading becomes a co-pilot - freeing time for human feedback on nuance and argumentation while keeping the teacher as final arbiter, not a black‑box grader.

“I am excited to assign more writing (my kids need so much practice!) now that I can give them specific and objective feedback more quickly. I may even postpone my retirement because of your product!”

Khanmigo brings an always‑available, standards‑aligned tutor and teacher assistant that Swiss schools can pilot to deliver personalized tutoring and adaptive study plans while keeping teachers in charge: built on Khan Academy's vetted content, it offers a Writing Coach, proactive Socratic prompts and teacher tools to save prep time and accelerate practice.

The Districts program outlines district‑level supports - professional learning, rostering, admin dashboards and automatic alerts for inappropriate interactions - that map cleanly to canton‑level rollouts and the careful governance Swiss pilots demand (Khanmigo Districts program for schools and districts), while free teacher access and learner options make quick trials feasible (Khanmigo free teacher access and classroom tools, Khanmigo learner access and student options).

Practically, it looks like an on‑demand, back‑of‑class “PhD student” tutor that helps learners when they're stuck and hands the final assessment and nuance back to the teacher - an approach Swiss classrooms can test in short, privacy‑minded pilots to see whether targeted tutoring closes small gaps without replacing human judgement.

“Khanmigo is mind-blowing. It is already remarkable and it will only get better.”

Deck.Toys and Curipod bring hands‑on, low‑friction interactivity to Swiss classrooms by turning static slides into “lesson adventures” teachers can spin up in minutes: Curipod's AI-assisted lesson generator helps build a classroom where students feel seen and connected from day one (Curipod AI-assisted lesson generator for building classroom culture), while Deck.Toys layers those lessons onto a game‑like Map with locks, points, power‑ups and even a Gauntlet so students progress along multiple learning paths and chase mastery like a quest (Deck.Toys gamification features for classroom engagement).

Practical Swiss advantages are clear: real‑time tracking and Teacher Sync keep canton‑level governance and classroom control intact, integrations with Google Classroom, Microsoft Teams, Canvas and SLS ease rostering, and options for guest sign‑in plus short data‑retention windows help with privacy workflows teachers must satisfy (Deck.Toys quick start guide for teachers).

The result is lessons that feel vivid and purposeful - like guiding students across a map to unlock a final challenge - while preserving the teacher as the lesson's author and arbiter.

Multimodal content tools - think Synthesia‑style avatar video makers and Midjourney‑style image generators - are already reshaping how Swiss teachers and universities turn lesson plans into bite‑sized, localised learning experiences: platforms that convert a PDF or slide deck into a narrated training video in minutes can free teachers from hours of editing while supporting many languages and export formats that fit canton LMS workflows.

Colossyan, for example, promises doc‑to‑video conversion, regional voices and SCORM export so a single lesson seed becomes an avatar‑led mini‑lecture that's easy to update and reuse (Colossyan Creator doc-to-video platform); research pilots in Europe show the same tech can underpin multilingual MOOCs and interactive storyboards without needing extra speakers (AACE interview about AI-generated instructor video for multilingual MOOCs).

For Swiss contexts, the coming open multilingual LLM effort also signals a route to safer, locally governed translation and image generation that keeps content both rigorous and culturally attuned (Swiss multilingual LLM project for localised translation and image generation).

The practical win is vivid: instead of re‑shooting a lecture for every language or visual need, a teacher can produce ten tailored clips from one source in the time it used to take to grade a single essay - giving more room for human feedback and classroom conversation.

“AI-content has a tremendous impact, but still, the teacher, in our vision, has the important role as a guide on the side.”

Scholarcy, Elicit and NotebookLM together streamline the hard, time‑consuming work of literature review so Swiss teachers, researchers and advanced students can move from unread PDFs to usable teaching materials faster: Scholarcy can “summarize any paper, article or textbook” into interactive summary flashcards and exportable notes (Scholarcy research summarization tool), Elicit lets users search and extract data across a vast corpus (125+ million papers), run rapid systematic reviews and trace claims back to source quotes (Elicit AI research assistant), and NotebookLM creates source‑grounded notebooks where up to 50 uploaded documents can be queried, turned into study guides, timelines or FAQs and chatted with inline citations for classroom use (NotebookLM faculty guide).

The practical payoff is vivid: instead of skimming dozens of dense articles, a teacher can combine selected sources into one notebook, ask targeted questions and export a concise study guide - yet all three tools also flag the need for human verification and institutional privacy checks, a good fit with canton-level governance and FDPIC concerns.

“It would normally take me 15mins – 1 hour to skim read the article but with Scholarcy I can do that in 5 minutes.”

Admissions offices across Switzerland can use AI to make candidate screening faster, fairer and more consistent by pairing rubric‑driven scorecards with asynchronous video and transcript analysis: platforms such as Panls.ai Interview-as-a-Service platform help standardise questions and evidence anchors so every applicant is judged to the same criteria, while tools like Hirevire AI interview workflow guide show how multi‑format, asynchronous responses and structured rubrics can cut scheduling headaches and turn days of screening into same‑day shortlists (large pilots report big drops in screening time and coordination).

For more advanced scoring, vendor research highlights automated interview engines that score transcripts against role‑specific rubrics with expert‑level consistency - a useful boost for busy admissions panels that still want human review and calibration before offers are made.

The practical win is memorable: what used to be a stack of weeks' worth of applications can be triaged in hours, provided panels keep clear rubrics, calibration sessions and privacy‑minded review processes in place.

“Structured interviewing is two times more predictive than unstructured interviewing, but it's always been pretty hard for companies to execute well.”

Swiss schools and EdTech teams can cut through the paperwork risk with DocuExprt-style checks and datenrecht.ch's open prompt library, which includes a dedicated “DPIA – Data Privacy Impact Analyzer” prompt that carries out DPIAs against the revised Swiss DSG (FDPA) and related rules (DPIA – Data Privacy Impact Analyzer) and a browsable set of CustomGPT prompts for contract checks, breach reporting and privacy notices (datenrecht.ch AI Prompt Library).

Built as a guided, rubric-like workflow, the DPIA prompt walks teams through project description, data minimisation, threshold analysis, risk scoring tied to technical-organisational measures and whether an FDPIC consultation is needed - a pragmatic way to move from scattered spreadsheets to auditable documentation.

That matters: manual DPIA processes can take weeks and leave schools exposed, so an automated, education-aware checklist that highlights high‑risk triggers (AI analytics, proctoring, biometrics) helps keep canton governance and FDPIC obligations visible during procurement.

For the legal baseline and when an opinion is required, pair the prompt output with the federal DPIA guidance from the FOJ/EDÖB (Data protection impact assessment - EDÖB/FOJ).\n\n \n \n \n \n \n \n \n \n \n \n \n

Prompt‑injection is the sharpest practical risk schools must factor into any Swiss AI rollout: a single cleverly worded line can override system instructions and coax an assistant into leaking data or generating unsafe content, so canton‑level pilots need runtime guards, red‑teaming and clear input separation rather than “set‑and‑forget” prompts.

Tools such as Lakera Guard bring that runtime defence to production - real‑time detection, adaptive blocking and threat intelligence informed by continuous red‑teaming - while Gandalf (Lakera's interactive exercise) shows how easily students or researchers can craft injections and why hands‑on testing matters for training and procurement decisions (Lakera prompt injection guide and Gandalf interactive exercise).

Complementary playbooks stress practical design fixes - keep user inputs separate from core instructions, sanitise external content, and run automated plus manual adversarial tests following OWASP‑style checklists (Confident AI LLM red‑teaming step‑by‑step guide) - so Swiss schools can pilot helpful RAG systems without turning a single essay upload into a privacy incident.

The takeaway is simple and memorable: treat every prompt like a potential exploit and build layered, auditable defences before students rely on them in assessment or admissions workflows.

“Dropbox uses Lakera Guard as a security solution to help safeguard our LLM-powered applications, secure and protect user data, and uphold the reliability and trustworthiness of our intelligent features.”

Swiss schools ready to move from pilot to policy should treat AI adoption as a governance project first and a tech roll‑out second: follow canton legal best practices (see the Canton of Zurich's AI in education guide), build privacy‑by‑design into procurement, and run targeted Data Protection Impact Assessments early so high‑risk uses (profiling, proctoring, cross‑border transfers) don't become governance surprises - the FDPIC has made clear the FADP applies directly to AI and that DPIAs are required where risks remain high (FDPIC guidance on AI and data protection).

Practical workflow tips: start with small, supervised pilots using privacy‑first vendors, log decisions and human‑in‑the‑loop checkpoints, and automate DPIA templates to turn weeks of paperwork into audit‑ready evidence.

Pair legal checks with short staff upskilling - courses like Nucamp AI Essentials for Work bootcamp (15 weeks) - so teachers and admins can own prompt design, vendor checks and transparent parent communications from day one.

“AI systems raise questions and risks regarding data protection, privacy, ethics and human rights. How can we ensure that AI systems are designed, developed and deployed in a way that respects the rights and interests of individuals and society?” - Philipp Rosenauer, PwC Switzerland