Our Technology
LoomaEdu's innovative approach to AI detection combines behavioral analysis with sophisticated linguistic modeling for unparalleled accuracy.
Beyond Text Analysis
While other solutions only check the final output, LoomaEdu monitors the entire writing process in real-time, giving educators unprecedented insight into how content is created.
Our dual-layer approach combines behavioral monitoring with linguistic analysis, resulting in significantly higher accuracy than traditional detection methods.
How It Works: The Technical Overview
Our approach combines behavioral analysis with sophisticated AI models trained on both human and machine-generated content.
Layer 1: Behavioral Analysis
- 1Analyzes typing patterns, keystroke dynamics, and editing behaviors
- 2Detects unnatural bursts of text typical of pasted AI content
- 3Evaluates pause durations and writing rhythm unique to human authors
- 4Identifies revision patterns that differentiate human from AI writing processes
Layer 2: Linguistic Fingerprinting
- 1Custom 7B parameter model fine-tuned specifically for academic writing
- 2Analyzes syntax, vocabulary richness, coherence, and structural patterns
- 3Maintains individual student style profiles to detect sudden style shifts
- 4Employs contrastive learning to distinguish between AI-assisted and authentic writing
LoomaEdu vs. Traditional Solutions
See how our comprehensive approach compares to limited traditional tools.
| Feature | LoomaEduComplete Solution | Traditional ToolsLimited Functionality |
|---|---|---|
| Real-time AI Detection | ||
| Behavioral Analysis | ||
| Instant Assessment Feedback | Limited | |
| Detection Accuracy | 97% | 70-85% |
| False Positive Rate | Less than 3% | 15-30% |
Data-Driven Development
Our AI detection technology is backed by extensive research and comprehensive training.
Diverse Training Data
Our model was trained on a diverse dataset of genuine student essays across subjects and proficiency levels, alongside AI-generated content from multiple sources.
Hybrid Scenarios
We've simulated real-world scenarios where students edit AI-generated content, training our system to detect these nuanced cases that other solutions miss.
Continuous Improvement
Our models are regularly retrained on new data to stay ahead of advancing LLM capabilities and evolving strategies for evading detection.
Frequently Asked Questions
Get answers to common questions about our technology and implementation.
How does LoomaEdu detect AI-generated content?
LoomaEdu uses a dual-layer approach combining behavioral analysis and linguistic fingerprinting. We monitor real-time writing behaviors such as typing patterns, editing cadence, and pauses, which AI tools cannot replicate. This approach achieves 97% accuracy, far exceeding traditional post-submission analysis tools.
What if a student trains the AI to mimic their writing style?
While LLMs can mimic stylistic elements, they struggle to replicate behavioral signals. Our system doesn't just analyze linguistic output—it monitors how the writing was created (typing patterns, revision behavior, hesitations). We also track style drift longitudinally, so sudden changes in entropy and process complexity are detected.
What if a student lightly edits AI text to pass detection?
Light editing doesn't meaningfully erase the telltale patterns of AI writing. Our contrastive AI signature detection identifies deep latent features, not just surface-level changes. We calculate a linguistic distance score between the student's established style and new submissions to flag high AI influence.
How do you handle legitimate student improvement or writing aids?
We don't penalize improvement—we encourage it! Our system distinguishes between structured, tool-assisted help (like grammar checkers) and full generative authorship. Tools like Grammarly suggest phrasing but don't rewrite entire paragraphs with novel content. Gradual growth looks very different from LLM-generated statistical fingerprints.
How do you avoid false accusations?
Transparency is built into our system. Every AI use flag is accompanied by a confidence score and detailed rationale. Educators get full context about when content was written, how it compares to past submissions, and what specific signals triggered concern. Teachers can override or request secondary review—we support human-in-the-loop decision making.
Will LoomaEdu integrate with our existing LMS?
Yes! LoomaEdu offers seamless integration with all major Learning Management Systems including Canvas, Blackboard, Moodle, and D2L Brightspace through our LTI-compliant integration. Implementation typically takes less than a day with support from our technical team.
What kind of data does LoomaEdu collect?
LoomaEdu collects typing patterns, editing behaviors, and submission content. All student writing and data remains their own property, and we do not use student essays or other submitted work to train our models or AI systems. All data is encrypted, anonymized, and stored securely in compliance with FERPA and other educational privacy regulations. We never sell or share student data with third parties.
Do students need to install anything to use LoomaEdu?
No. LoomaEdu works entirely in the browser with no downloads or installations required. Students simply write in the provided editor within your LMS, and our technology works seamlessly in the background without disrupting their workflow.
Have more questions? We're here to help.
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Experience the difference that real-time behavioral monitoring and our custom AI model can make for your institution.