Core Research Pillars

These six principles from learning science guide how we teach.

Cognitive Load
Active Recall
Deliberate Practice
Expertise Matching
Generative Learning
Metacognition

Explore Our Methodologies

Click on each point on the hexagon to discover the research-backed learning strategies that power Grassroot's AI tutoring system.

Cognitive Load

Working memory holds only a few items at once. When lessons are cluttered, mental effort gets wasted on confusion instead of learning.

We do: One idea at a time. No clutter.

Research

Sweller, J. (2023). The Development of Cognitive Load Theory. Educational Psychology Review, 35(4)

Active Recall

Testing isn't just assessment—it's learning. Students who tested themselves retained twice as much as those who restudied.

We do: Regular recall prompts, not re-explanations.

Research

Roediger, H.L. III, & Butler, A.C. (2011). The critical role of retrieval practice in long-term retention. Trends in Cognitive Sciences, 15(1), 20-27

Deliberate Practice

Ericsson found elite violinists accumulated 10,000+ hours by age 20—5,000 more than average performers. The difference wasn't talent; it was structured practice targeting weaknesses with immediate feedback.

We do: Find your weak spots. Focus there.

Research

Ericsson, K.A., Krampe, R.T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363-406

Expertise Matching

Instruction that helps beginners can actually harm experts. Novices need step-by-step guidance; experts find the same guidance distracting.

We do: Track your level. Adjust accordingly.

Research

Kalyuga, S., et al. (2003). The Expertise Reversal Effect. Educational Psychologist, 38(1), 23-31

Generative Learning

Students who generate their own explanations understand more than those who passively receive them. Best sequence: attempt your own representation first, then view the expert version as feedback.

We do: You explain first. Then we show ours.

Research

Fiorella, L. (2023). Making Sense of Generative Learning. Educational Psychology Review

Metacognition

Metacognition is knowing when you understand and when you're confused. Students with this awareness self-correct; those without stay stuck.

We do: Prompt you to rate confidence and flag confusion.

Research

Fiorella, L., & Mayer, R.E. (2021). Fostering Metacognition to Support Student Learning and Performance. CBE—Life Sciences Education

The Science of Personalization

Traditional Lectures

1 in 3

students fail

Traditional lecture-based learning has a 33% failure rate in STEM courses

Freeman et al. (2014), PNAS

AI-Powered Learning

2.5x

better outcomes

Students move from 50th to 85th percentile with personalized AI tutoring

Wang et al. (2024), Educational Computing Research

Start Evidence-Based Learning

Experience the science in action

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