Our Mission

YouTube hosts over 800 million educational videos, but watching videos doesn't automatically translate to learning. Learners struggle with fragmented content, lack of structure, and passive consumption that leads to the illusion of fluency without actual retention.

LearnLens Studio was created to solve this problem by combining YouTube's unparalleled educational content with evidence-based learning science. We transform passive video watching into active, structured learning experiences that maximize comprehension and long-term retention.

Our Approach

Every feature in LearnLens Studio is built on peer-reviewed research in educational psychology and cognitive science:

• Cognitive Load Theory - We minimize extraneous cognitive load by removing distractions and presenting information in digestible chunks
• Testing Effect & Active Recall - Regular retrieval practice strengthens memory far more than passive review
• Zone of Proximal Development - Content is structured to match learners at their optimal challenge level
• Spaced Repetition - Strategic review timing prevents the forgetting curve and ensures long-term retention
• Scaffolded Learning - Concepts build progressively from foundations to advanced topics

Who We Are

LearnLens Studio is built by a team of educators, engineers, and cognitive science enthusiasts who believe that effective learning should be accessible to everyone. We're committed to making evidence-based education available at no cost during our beta period.

Our platform is informed by decades of research from leaders in educational psychology including Hermann Ebbinghaus, Lev Vygotsky, Benjamin Bloom, Robert Bjork, Richard Mayer, and many others whose work has shaped our understanding of how humans learn.

Our Commitment

We are committed to:

• Evidence-based practices - Every feature is backed by peer-reviewed research
• Transparency - We cite our sources and methodology in our editorial policy
• Accessibility - Making quality education available to all learners
• Continuous improvement - Iterating based on user feedback and emerging research