Course-Specific AI Assistants.Built for Elon.
Not a generic chatbot. A teaching companion grounded in YOUR materials, with interactive tools and voice support—all FERPA-compliant.
Faculty create course-specific assistants. Students get personalized help 24/7.
Faculty and students sign in with your @elon.edu email.
Not Just Another Chatbot
Elon AI is purpose-built for academic success, not generic Q&A.
Generic AI Chatbot
Elon AI
Built for Academic Excellence
Four pillars that make Elon AI the most effective classroom assistant.
Course-Grounded Answers
Every response is grounded in YOUR course materials. Upload syllabi, lecture slides, PDFs, and readings—Elon AI retrieves relevant content and cites sources in every answer.
- RAG-powered retrieval from your documents
- Source citations with page references
- No hallucinations—only verified content
“According to your Week 3 lecture slides, supply curves demonstrate the positive relationship between price and quantity supplied...”
SimLab
Interactive simulations
Document Search
RAG-powered course material search
Academic Papers
Semantic Scholar integration
AI Image Generation
Educational diagrams & visuals
Quizzes
Auto-generated practice questions
Flashcards
Interactive study cards
Concept Maps
Visual relationship diagrams
Code Blocks
Syntax-highlighted examples
Socratic Questions
Guided reasoning dialogue
Study Tips
Evidence-based strategies
Timelines
Historical event visualization
Web Search
FERPA-compliant URL search
Similar Papers
Related research discovery
Elon URLs
Verified university resources
Follow-up Actions
AI-suggested learning paths
Related Topics
Explore connected concepts
16 Interactive Learning Tools
Beyond text responses, Elon AI generates interactive study aids. Quizzes adapt to your knowledge gaps, flashcards reinforce key concepts, and concept maps visualize relationships. Gamification elements keep students engaged and motivated, inspired by research showing that interactive learning doubles retention compared to passive lectures.
- Auto-generated quizzes with instant feedback
- Interactive flashcards and study sessions
- Concept maps, timelines, and code blocks
Interactive Lecturing & Active Learning
Research from Elon's Center for the Advancement of Teaching & Learning shows that interactive lecturing significantly improves understanding and retention. Adult attention typically flags after 15-20 minutes—our interactive tools create natural “pause points” that keep students engaged. As teaching scholar Terry Doyle notes: “The one who does the work is the one who does the learning.”
- Immediate feedback keeps students in the learning action
- Built-in pause points for reflection and practice
- Active learning reduces passivity during lectures
Natural Voice Conversations
Talk to Elon AI like a real tutor. Powered by Hume AI, voice chat understands natural speech patterns and responds with empathetic, adaptive dialogue—perfect for accessibility and on-the-go learning.
- Natural speech recognition and synthesis
- Emotion-aware adaptive responses
- Full accessibility for all learners
“Explain the difference between mitosis and meiosis...”
Complete Faculty Control
Faculty customize every aspect of their AI assistant. Choose personas, select AI models, enable features, and monitor student engagement—all through an intuitive no-code wizard.
- 5 AI persona templates + custom option
- 6-step no-code configuration wizard
- Real-time analytics and conversation insights
Try It Yourself: Interactive Learning
Experience Elon AI's SimLab capabilities firsthand. This interactive Central Limit Theorem simulator demonstrates how students can explore complex concepts through hands-on experimentation. Adjust parameters and watch the results update in real-time—no sign-in required.
Watch sample means form a normal distribution regardless of population shape
Imagine sampling customer wait times from a skewed exponential distribution. Even though individual wait times are skewed, the average of multiple samples forms a bell curve.
Parameters
Number of observations per sample
How many sample means to generate
Shape of the original population
- Start with Exponential distribution and n=5 - notice the skewed histogram
- Gradually increase n to 30, 50, 100 - watch it become more bell-shaped
- Try Uniform distribution - same pattern emerges
- Compare standard error at n=10 vs n=100
- Why does the shape become normal even when the population is not normal?
- What happens to the standard error as sample size increases?
- How large must n be for the CLT to apply with a skewed population?
- The CLT does NOT say individual samples become normal
- The population doesn't change - only the distribution of sample MEANS
This is just one example of Elon AI's interactive learning tools. Faculty can enable SimLab simulations for any course, and students can request simulations on-demand through natural conversation.
Built for Academic Trust
Elon AI is designed from the ground up for higher education. Enterprise-grade security meets academic integrity, so you can focus on teaching.
FERPA Compliant
All student data handled per federal education privacy requirements
Institution Data Ownership
Your university owns all student conversation data
Full Audit Logging
Complete transparency with detailed compliance logs
Honor Code Aligned
Teaches thinking, never writes papers for students
No Model Training
Student data never used to train AI models
Ready to transform your classroom?
Join Elon faculty and students already using Elon AI for course-specific tutoring, interactive study tools, and academic support.
Sign In with Elon AccountNeed help? Contact support: ai@elon.edu