The Science Behind LRNR
Our concept-centric learning approach is grounded in cognitive science and educational research
Evidence-Based Learning
LRNR isn't just another learning platform. Our approach is built on decades of cognitive science research about how the brain learns most effectively. We've designed every feature to align with proven learning principles that maximize retention and understanding.
Traditional learning methods often rely on passive review and cramming, which research has shown to be ineffective for long-term retention. Instead, LRNR implements active learning strategies that have been validated through rigorous scientific studies.
Our concept-centric approach focuses on building a network of knowledge rather than isolated facts. This aligns with research on how the brain forms and strengthens neural connections, leading to deeper understanding and better application of knowledge.
Key Learning Principles
Spaced Repetition
Reviewing information at optimal intervals to enhance long-term retention. Our algorithm schedules concept reviews based on your mastery level.
Retrieval Practice
Actively recalling information strengthens memory more effectively than passive review. Our quizzes and self-assessments leverage this principle.
Interleaving
Mixing different topics during study sessions improves discrimination and transfer of knowledge. Our recommendation system interleaves related concepts.
Elaboration
Connecting new information to existing knowledge creates stronger neural pathways. Our concept-centric approach encourages making these connections.
Peer Learning
Explaining concepts to others and collaborative learning enhances understanding. Our platform encourages sharing and discussing concepts.
Metacognition
Awareness and understanding of one's own thought processes improves learning efficiency. Our analytics help you understand your learning patterns.
Scientific References
Making it stick: The science of successful learning
Brown, P. C., Roediger, H. L., & McDaniel, M. A. (2014)
Harvard University Press
Comprehensive overview of evidence-based learning techniques including spaced repetition and retrieval practice.
The spacing effect: A case study in the failure to apply the results of psychological research
Dempster, F. N. (1988)
American Psychologist, 43(8), 627-634
DOI: 10.1037/0003-066X.43.8.627
Classic paper on the spacing effect and its applications to education.
Improving Students' Learning With Effective Learning Techniques
Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013)
Psychological Science in the Public Interest, 14(1), 4-58
Comprehensive review of learning techniques and their effectiveness.
The critical importance of retrieval for learning
Karpicke, J. D., & Roediger, H. L. (2008)
Science, 319(5865), 966-968
Seminal study demonstrating the power of retrieval practice for long-term retention.
Strengthening the Student Toolbox: Study Strategies to Boost Learning
Dunlosky, J. (2013)
American Educator, 37(3), 12-21
Practical applications of cognitive science research to educational settings.
The Knowledge-Learning-Instruction Framework: Bridging the Science-Practice Chasm to Enhance Robust Student Learning
Koedinger, K. R., Corbett, A. T., & Perfetti, C. (2012)
Cognitive Science, 36(5), 757-798
DOI: 10.1111/j.1551-6709.2012.01245.x
Framework connecting cognitive science to educational practice.
Our Concept-Centric Approach
Traditional learning platforms organize content by topics or courses. LRNR takes a different approach by focusing on concepts as the fundamental unit of knowledge. This approach is inspired by research on knowledge graphs and semantic networks in cognitive science.
When you learn with LRNR, you're not just memorizing isolated facts. You're building a network of interconnected concepts that mirror how knowledge is organized in the brain. This leads to deeper understanding and better transfer of knowledge to new situations.
Our adaptive algorithm tracks your mastery of each concept and uses spaced repetition principles to schedule reviews at optimal intervals. This ensures you're reviewing concepts just as you're about to forget them, strengthening your memory with each review.
The platform also implements retrieval practice through quizzes and self-assessments, which research has shown to be one of the most effective learning techniques. By actively recalling information rather than passively reviewing it, you strengthen neural pathways and improve long-term retention.
Experience Evidence-Based Learning
Join thousands of learners who are using scientifically-proven methods to learn more effectively