The Problem: One Student at a Time Is No Longer Sustainable
Every semester, the same scene plays out in staffrooms across Switzerland. A teacher at a Gymnasium in Zurich sits down with a stack of 25 Seminararbeiten. A lecturer at the University of Bern opens a folder of 80 essay submissions. A professor at EPFL reviews a batch of 120 lab reports. In each case, the question is the same: which of these were written by the student, and which were written by AI?
The current approach — copying and pasting each submission into an AI detection tool individually — is painfully slow. For a class of 25 students, each with a 2,000-word essay, that means 25 separate analyses. At roughly two minutes per analysis (including copy-paste, waiting for results, and recording the outcome), that is nearly an hour of repetitive, manual work. For larger classes, the time investment becomes prohibitive.
According to a 2025 survey by the Swiss Conference of Cantonal Ministers of Education (EDK), 68% of Swiss secondary school teachers reported spending more time on plagiarism and AI checks than on actual grading feedback. This is time that could be spent on what teachers do best: teaching, mentoring, and providing meaningful feedback to students.
The Solution: Upload Once, Analyze Everything
Classroom Mode is a new feature coming to AIdetector.ch that fundamentally changes how educators handle AI detection. Instead of checking one document at a time, you upload an entire class's submissions in a single batch — 10, 20, 50, or even 100+ documents at once — and receive a comprehensive AI detection report covering every student.
The concept is simple: drag and drop a folder of files (PDFs, Word documents, or text files), press analyze, and let the system do the work. Within minutes, you have a complete overview of every submission, with individual AI probability scores, risk flags, and exportable results.
How It Works
The workflow is designed to be as straightforward as possible:
- Step 1: Upload. Drag and drop multiple files into the Classroom Mode interface. Supported formats include PDF, DOCX, DOC, and TXT. File names are preserved so you can identify each student's work.
- Step 2: Automatic Processing. The system processes each document through our AI detection engine in parallel. There is no need to wait for one analysis to complete before the next one starts.
- Step 3: Review the Class Report. Once all documents have been analyzed, you receive a single overview report. Each submission is listed with its AI probability score, confidence level, and a risk classification (low, medium, or high).
- Step 4: Focus on Flagged Submissions. High-risk submissions are automatically flagged for your attention. You can click into any individual submission to see the full sentence-by-sentence analysis, just as you would with a single-document scan.
- Step 5: Export. Download the results as a CSV spreadsheet or a formatted PDF report for your records, faculty meetings, or academic integrity proceedings.
Key Features
Bulk Upload
Upload multiple files simultaneously. There is no need to rename files or convert formats — Classroom Mode handles PDFs, Word documents, and plain text files natively. The system extracts text automatically, even from scanned PDFs with OCR support.
Class Report
The class report provides a bird's-eye view of all submissions. At a glance, you can see which students' work appears entirely human-written, which shows mixed signals, and which has a high probability of AI involvement. The report includes:
- Overall AI probability score for each submission (0-100%)
- Confidence level (low, medium, high)
- Word count per submission
- Risk classification with color coding
- Sortable columns so you can quickly find outliers
Smart Flagging
Not every submission needs the same level of scrutiny. Classroom Mode uses an intelligent flagging system that automatically identifies submissions requiring manual review. The flagging algorithm considers not just the overall AI score, but also patterns across the class — for example, if one submission has a dramatically different writing style or complexity level compared to the student's previous work.
Export Results
Documentation matters, especially in academic integrity cases. Classroom Mode lets you export results in two formats:
- CSV: A spreadsheet-friendly format for further analysis, record-keeping, or integration with your institution's learning management system (LMS).
- PDF: A formatted report suitable for printing, sharing with colleagues, or attaching to academic integrity proceedings.
Built for the Swiss Education System
Classroom Mode is designed with the specific needs of Swiss educators in mind. Whether you teach at a Gymnasium, a Fachhochschule, a Universitat, or a Berufsschule, the tool adapts to your workflow.
Maturitatsarbeit and Seminararbeit
The Maturitatsarbeit (maturity thesis) is a cornerstone of the Swiss Gymnasium experience. These extended essays, typically 15-30 pages long, represent months of independent research. Classroom Mode can process an entire cohort's Maturitatsarbeiten in a single batch, giving supervising teachers a quick overview before diving into detailed reviews.
Similarly, Seminararbeiten at the university level — often submitted by entire seminar groups of 15-30 students — are perfectly suited for batch analysis.
Bologna System Compatibility
Swiss universities operating under the Bologna system frequently require large-scale assessment of written work — from Bachelor's seminar papers to Master's theses. Classroom Mode integrates into this assessment workflow by providing a first-pass screening that helps examiners allocate their review time more effectively.
Multilingual Support
Switzerland's four-language education landscape means that a single class might submit work in German, French, Italian, or English. Classroom Mode handles all four languages natively, applying language-specific detection models to each submission. There is no need to separate files by language — the system detects the language automatically.
Why This Matters for Academic Integrity
Academic integrity is not just about catching cheaters. It is about maintaining the value of education itself. When students know that AI-generated work will be detected — quickly and systematically — the incentive to use AI dishonestly decreases. Classroom Mode shifts the dynamic from "will I get caught?" to "my teacher checks everything, so I should do my own work."
Research from the University of Zurich's Center for University Teaching and Learning (2025) found that institutions with systematic AI detection saw a 40% reduction in suspected AI use within one semester of implementation. The key factor was not the detection technology itself, but the perception of comprehensive, consistent checking.
Classroom Mode makes comprehensive checking feasible. When every submission is analyzed automatically, the deterrent effect is maximized, and teachers can focus their energy on education rather than policing.
"The goal is not surveillance — it is fairness. Students who do their own work deserve to know that everyone else is held to the same standard." — Prof. Dr. Anna Muller, University of Zurich, Department of Educational Sciences
Data Privacy and Swiss Hosting
All data processed through Classroom Mode remains on Swiss servers, in full compliance with the Swiss Federal Act on Data Protection (nDSG) and GDPR. Student submissions are encrypted in transit and at rest, and are automatically deleted after processing unless you explicitly choose to save them. No student data is ever shared with third parties or used for model training.
Coming Soon: Join the Waitlist
Classroom Mode is currently in development and will be available in the coming months. We are working closely with educators from several Swiss institutions to ensure the feature meets real-world needs.
If you are an educator at a Swiss school, university, or institution, you can join the waitlist today to be among the first to access Classroom Mode. Early access users will also have the opportunity to provide feedback that shapes the final product.
To join the waitlist, send an email to support@aidetector.ch with the subject line "Classroom Mode Waitlist," or click the waitlist button on our homepage.
Sources
- Swiss Conference of Cantonal Ministers of Education (EDK), "AI in Swiss Secondary Education: Teacher Survey 2025," Bern, 2025.
- swissuniversities, "Artificial Intelligence and Academic Integrity in Swiss Higher Education," 2024.
- University of Zurich, Center for University Teaching and Learning, "Impact of AI Detection Systems on Academic Integrity," Research Brief, 2025.
- Swiss Federal Act on Data Protection (nDSG), effective September 1, 2023.
- European Parliament and Council, "General Data Protection Regulation (GDPR)," Regulation (EU) 2016/679.