Skip to main content
AI-POWERED CLASSROOM INSIGHTS

Good questions drive deep learning

SMILE provides a structured way to develop and evaluate student questions at scale.

Class Dashboard

AP Biology - Period 1

LIVE
Recent Analysis
SC

"How does photosynthesis connect to the carbon cycle?"

L4
MJ

"What would happen if plants stopped producing oxygen?"

L5
Cognitive Distribution
L4: Analyze38%
L3: Apply22%
L5: Evaluate18%
L6: Create12%
28
Students
4.2
Avg Level
89%
Higher

Trusted by educators worldwide

Stanford
MIT
Harvard
Cambridge
Oxford
Yale
Princeton
Columbia
Berkeley
Cornell
Stanford
MIT
Harvard
Cambridge
Oxford
Yale
Princeton
Columbia
Berkeley
Cornell

Why teachers need SMILE

Inquiry-based learning is powerful, but sustaining it in real classrooms is difficult. Teachers must evaluate question quality, provide meaningful feedback, and connect inquiry activities to assessment, all within limited time and resources.

Identifying Question Quality

"It's hard to tell what level my students' questions are at."

Providing Feedback at Scale

"I don't have time to read and give feedback on every single question."

Connecting Inquiry to Assessment

"Question activities don't easily connect to student assessment."

How SMILE works in classroom

Four steps from question to insight

Step 1

Students generate questions

Students submit questions based on the lesson topic, learning goal, or discussion prompt.

AS
Alex Smith
Biology, Period 3
Step 2

AI analyzes cognitive depth

SMILE evaluates each question using Bloom's Taxonomy and provides targeted feedback.

Question

"How does photosynthesis connect to the carbon cycle?"

Bloom's Taxonomy Analysis
Remember
Understand
Apply
Analyze
Evaluate
Create
Level 4 - Analyze

This question requires breaking down complex relationships between concepts

Step 3

Students improve their questions

Guided feedback helps students revise, deepen, and clarify their questions before discussion.

Original

"What is photosynthesis?"

Level 1: Remember
Improved with AI guidance
Revised

"How does photosynthesis connect to the carbon cycle?"

Level 4: Analyze
Step 4

Questions become learning evidence

All activity is captured as structured data for assessment, reflection, and documentation.

SC
Sarah Chen
Biology, Period 3
Quality Score
6.5/10
Bloom's Level
Level 4
Analyze · 90%
Detailed
Creativity6.0
Clarity7.6
Relevance7.0
Innovation5.2
Strengths
  • Clear cross-domain connection
  • Analytical framing
Suggestions
  • Add specific examples
  • Consider evaluation criteria

How SMILE measures student thinking

SMILE evaluates student questions using Bloom's Taxonomy, a widely used educational framework for cognitive depth.

Bloom's Taxonomy Cognitive Analysis

Remember

Recall facts and foundational knowledge

"What instrument is used to measure earthquakes?"

Understand

Explain ideas and demonstrate comprehension

"How does a bird's beak shape help it adapt to its environment?"

Apply

Use knowledge in new or real-world situations

"How would you proceed to separate a mixture of sand and salt?"

Analyze

Compare, connect, and examine structure

"What are the similarities and differences between butterflies and moths?"

Create

Generate new ideas or propose solutions

"If resources were unlimited, how would you redesign the global disaster response system?"

Before

"What is photosynthesis?"

Remember
After

"How does photosynthesis affect the carbon cycle in different ecosystems?"

Analyze

SMILE makes this shift in thinking visible.

SMILE Insight

How SMILE supports different teaching goals

Flexible modes that adapt to different classroom needs and learning objectives

MODE 1

Open Mode

Self-Directed Exploration

Students create their own questions and refine them over time with AI feedback

Student

2 minutes ago

How do industrial practices interact with natural carbon cycles?

12 views3 responses

AI Quality Evaluation

Quality Score

8.5/10

Bloom's Taxonomy Level

Level 4 - Analyze

Confidence: 92.0%

See comprehensive feedback including strengths and areas for improvement

Peer Ratings

You cannot rate your own question

What changes for teachers

SMILE places student thinking at the center of instruction. Teachers can observe, understand, and respond to it more clearly.

Shift the lesson focus from content delivery to student thinking through questions

Move beyond lectures to active inquiry where students drive the learning process.

See the level of student questions at a glance

Instantly understand where each student stands cognitively.

See immediate improvements in question quality and discussion depth

Track cognitive growth in real time as students refine their thinking.

Spend less time reviewing and grading student questions

AI handles the initial evaluation so you can focus on meaningful feedback.

Support quieter students through structured participation

Give every student a voice through guided question activities.

Turn inquiry activities into assessable learning data

Transform discussions into structured, measurable learning outcomes.

Proven in Practice
Classroom Impact

SMILE successfully spurs student questioning and changes student–teacher dynamics in class.

UP
UNESCO Prospects
Academic Journal

Built on research, proven in practice

SMILE is a validated inquiry-based learning model, grounded in decades of research and real classroom data.

Originated from long-term inquiry-based learning research at Stanford

Trained on 73,000+ verified student questions

Tested across 1M+ real learning interactions

Designed by experts in learning sciences and educational technology

Led by Dr. Paul Kim
Former Associate Dean & CTO, Stanford Graduate School of Education

0+
0+
Schools piloted
0+
0+
Teachers using SMILE
0k+
0k+
Student questions analyzed

Ready to transform how students think?

See how SMILE fits into your class, your students, and your teaching.