AI Statistics Tutor Demo
This is a demonstration of the AI-powered cognitive scaffolding system being developed for my dissertation research. This prototype simulates the system behavior - the full version with Claude API integration will be available in the research platform (launching 2026).
What is Cognitive Scaffolding?
Unlike typical AI tutors that simply give answers, this system provides adaptive support that adjusts to your needs. It uses four scaffolding levels:
- Level 1 (Minimal): Asks guiding questions to help you think independently
- Level 2 (Moderate): Breaks problems into steps with hints
- Level 3 (Extensive): Shows worked examples with detailed explanations
- Level 4 (Direct): Provides complete solutions when you're stuck
Try the AI Tutor
Scaffold Level Control (for demonstration purposes)
In the real system, the AI automatically adjusts scaffolding based on your progress. Here, you can manually select levels to see the difference.
Statistics Tutor Chat
Scaffolding: Level 1Example Conversations
Level 1: Socratic
Student: "How do I calculate variance?"
AI: "Great question! Before we calculate variance, let's think about what it measures. If you have two datasets with the same mean, what might be different about them? How might the data points be arranged differently?"
Level 2: Guided
Student: "I'm confused about the steps"
AI: "Let's break variance into clear steps:
1. Find the mean
2. Subtract mean from each value
3. Square those differences
4. Average the squared differences
Can you try step 1 with your data?"
Level 3: Worked Example
Student: "I'm still stuck"
AI: "Let me show you with example data [2, 4, 6]:
Mean = (2+4+6)/3 = 4
Deviations: -2, 0, 2
Squared: 4, 0, 4
Variance = (4+0+4)/3 = 2.67
Now try with your data!"
Level 4: Complete Solution
Student: "I really can't figure this out"
AI: "I understand you're struggling. Here's the complete solution for your data [5, 7, 9]...
[Detailed solution]
This concept is challenging! Would you like practice problems or a video explanation?"
About This Demo
Research Purpose
This demo showcases the scaffolding framework for my dissertation research on AI-powered cognitive scaffolding in statistics education. The full system will:
- Automatically detect when students need more or less support
- Track learning progress and adapt in real-time
- Collect research data on scaffolding effectiveness
- Integrate with a complete statistics course curriculum
- Provide certificates and progress tracking