RLYXA SPARK
Transform How Kids Learn to Think
Rlyxa Spark is an AI-powered learning app that teaches children ages 6-14 to ask better questions, think more deeply, and develop genuine curiosity—not just find answers.
Our research shows that students using Rlyxa Spark increase their higher-order thinking by 45 percentage points over just 16 weeks.
How Rlyxa Spark Works
The Spark Method
Productive Struggle
Curiosity-First Design
Proven Results: Our Research
45% Higher-Order Questions
2.1x Question Quality Doubled
78% More Questions Asked
100% Results Across All Groups
What Sets Rlyxa Spark Apart
No Gamification Tricks
Built for Long-Term Learning
Equitable by Design
Research Papers
Explore Rlyxa Spark
Rlyxa Spark is an AI-powered learning app designed for children ages 6-14. Instead of giving instant answers, Rlyxa Spark uses the Socratic method to guide children to discover solutions themselves through thoughtful questions.
Why we built it:
We noticed a concerning trend: AI tutoring tools are designed to give answers quickly and efficiently. While this helps in the short term, it can lead to cognitive atrophy—children become good at retrieving information but struggle to construct knowledge themselves.
Our approach is different:
- We prioritize deeper thinking over quick answers
- We measure question quality, not just test scores
- We support productive struggle that builds resilience
- We design for long-term curiosity, not short-term engagement
Safety and appropriate challenge are core to Rlyxa Spark’s design:
Adaptive Difficulty:
- Our AI carefully calibrates challenge to each child’s level
- We track time spent on problems and adjust difficulty if a child is struggling
- The goal is productive struggle (engaging, not frustrating)
Emotional Safety:
- We monitor for signs of disengagement or learned helplessness
- When struggle tips into shutdown, we intervene with scaffolding
- We celebrate effort and strategy, not just correct answers
Privacy & Data Protection:
- All student data is encrypted and securely stored
- We never sell student data to third parties
- Parents have full visibility into their child’s learning journey
Content Guidelines:
- All content is reviewed for age-appropriateness
- Topics are aligned with typical developmental stages
- Parental controls allow you to set content boundaries
Most AI tutoring apps optimize for engagement and test scores. Rlyxa Spark optimizes for something different: genuine curiosity and independent thinking.
What we DON’T do:
- ❌ No gamification tricks: No points, badges, or leaderboards that can undermine intrinsic motivation
- ❌ No addiction mechanics: We don’t optimize for time-on-app
- ❌ No performance anxiety: No social comparison or rankings
- ❌ No “answer machine” model: We don’t just give answers—we guide discovery
What we DO measure:
- ✅ Question Quality Index: Are children asking deeper, more thoughtful questions?
- ✅ Productive Persistence: Are they willing to tackle difficult problems?
- ✅ Creative Transfer: Do they apply learning to novel, real-world problems?
- ✅ Metacognition: Can they explain their own thinking process?
The Socratic method is ancient, but it’s incredibly effective. Instead of lecturing or providing answers, a guide asks carefully constructed questions that lead the learner to discover truth themselves.
Example in action:
Child asks: “Why is the sky blue?”
Traditional AI response: “The sky appears blue due to Rayleigh scattering, which preferentially scatters shorter wavelengths…”
→ Information delivered. Thinking bypassed. Conversation ends.
Rlyxa Spark response: “What a great question! Before we explore this, I’m curious: What do you think makes the sky look blue during the day, but red or orange at sunset? Why might that happen?”
→ Child generates hypothesis. Brain engages. Learning begins.
Why this works:
Research shows that material people actively generate is retained 50% better than material they passively receive. By structuring conversations around child-generated hypotheses, we leverage this learning principle systematically.
Our process:
- 1. Activate prior knowledge: “What do you already know about this?”
- 2. Generate hypothesis: “What would you guess might be true?”
- 3. Identify gaps: “What’s the most confusing part?”
- 4. Explore together: Thought experiments and “what if” scenarios
- 5. Discover insights: Then reveal what scientists/experts found
- 6. Apply learning: “What else might this explain?”
Rlyxa Spark is designed to be inclusive and adaptive. Our research specifically tested effectiveness across diverse learner populations.
Our research findings (120 students over 16 weeks):
- ✅ Works across socioeconomic backgrounds: 35% low-income, 65% middle/upper-income—improvements consistent across both groups
- ✅ Effective for students with ADHD (12% of sample): Actually showed strong engagement and improvements
- ✅ Effective for students with dyslexia (8% of sample): Multimodal approach (spoken questions + visual scaffolding) supported different learning styles
- ✅ Works across achievement levels: Benefits seen in high-performers, average students, and struggling learners
How we adapt for different learners:
- Students with ADHD get more frequent check-ins and shorter problem sets
- Students with dyslexia can use text-to-speech for reading support
- Struggling students get more scaffolding; advanced students get more challenge
- All students can choose modality: audio questions, visual, or text
What we’re honest about:
The Socratic method isn’t universal. Some students with severe anxiety or trauma may need more direct support initially. Rlyxa Spark adapts: for struggling learners, we provide more scaffolding. We’re not dogmatically committed to struggle—we’re committed to growth.
We’ve completed our first rigorous study validating Rlyxa Spark’s effectiveness. Here’s what we found:
Study Details:
- Sample: 120 students (ages 11-14), 4 schools, stratified random assignment
- Duration: 16 weeks (September-December 2025)
- Design: Randomized controlled trial with treatment and control groups
Key Findings:
- 45 percentage point shift: Students moved from 60% factual questions to 40% higher-order analysis/synthesis questions
- Question quality nearly doubled: 2.1 → 4.1 on sophistication scale (p < 0.001)
- Large effect size: Cohen’s d = 2.1 (this is considered “very large”)
- 78% more questions asked: Students engaged more, asking 4.1 questions/session vs 2.3 at baseline
- Teacher confirmation: Teachers independently observed dramatic increases in thoughtful questioning
Why these results matter:
Effect sizes this large are rare in education research. The fact that question quality itself improved (not just test scores) shows we’re measuring genuine cognitive development, not just information retrieval.
The Rlyxa Spark will be available soon on the iOS and Android app stores.