AI Usage Analytics
Understand exactly how your students engage with AI tools
Gain comprehensive insights into student AI interactions across your courses. Monitor engagement patterns, session frequency, and learning trajectories to distinguish between constructive learning partnerships and surface-level task completion.
Track authentic learning behaviors, identify students who need additional support, and recognize those effectively using AI to deepen their understanding.
Course Analytics
Computer Science II
Student Usage Patterns
Course-Aware AI Assistant
AI that understands your curriculum, materials, and learning objectives
Provide students with AI assistance that seamlessly integrates with your course materials. Our @reference system enables direct citations of lecture videos, assignment rubrics, readings, and course resources, ensuring responses align with your specific curriculum.
Transform generic AI interactions into contextually relevant guidance that reinforces your teaching objectives and course-specific concepts.
The Best Models for All
Ensure equal access to the most advanced AI capabilities for every student
Eliminate educational inequality by providing all students access to premium AI models through institutional accounts. Choose from Claude, GPT-4, Gemini, and other leading models based on the specific requirements of each assignment or learning objective.
Maintain full administrative oversight while ensuring no student is disadvantaged by subscription limitations or access restrictions.
AI Model Selection
Choose the best model for your task
Learning Gap Intelligence
Identify and address course content that consistently challenges students
Learning Gap Analysis
CSSE2002 - Week 8
Topics Requiring Attention
Frequent Questions
Analyze student AI interactions to identify recurring conceptual difficulties and knowledge gaps across your curriculum. Our system highlights topics that generate frequent help requests and pinpoints areas requiring instructional enhancement.
Transform aggregate student challenges into data-driven improvements for course design, lecture content, and assignment clarity.
Attach a Chat to Assessment
Make the learning process visible through shareable AI conversations
Enable students to document and share their AI-assisted learning journey alongside assignment submissions. Transform private AI interactions into transparent learning evidence that demonstrates critical thinking and iterative problem-solving.
Foster academic integrity through transparency while recognizing students who effectively use AI as a learning catalyst rather than a completion tool.
Assignment Submission
Showcase your learning process
Beyond Plagiarism Detection
Move beyond detection to understanding authentic learning patterns
Deep Intelligence Analysis
Traditional Detection
Kurnell Insights
Replace unreliable AI detection tools with comprehensive usage pattern analysis. Distinguish between students using AI for ideation and exploration versus direct content generation, providing evidence-based insights into learning authenticity.
Make assessment decisions based on demonstrated learning behaviors rather than algorithmic guesswork, supporting academic integrity while embracing AI as an educational tool.
Ready to Transform AI Education at Your Institution?
Join leading universities in creating transparent, accountable, and effective AI-assisted learning environments.