Our AI-powered tutoring platform is built on decades of educational research, implementing proven methodologies that accelerate learning and improve retention.
Click on each point on the hexagon to discover the research-backed learning strategies that power Grassroot's AI tutoring system.
Cognitive load theory tells us that the most effective learning happens when we manage how much mental effort is needed to process new information. By deconstructing complex academic concepts into perfectly-sized chunks, Grassroot's evidence-based instructional design ensures you never feel overwhelmed while building solid foundations for advanced learning.
Sweller, J. (2023). The Development of Cognitive Load Theory: Replication Crises and Incorporation of Other Theories Can Lead to Theory Expansion. Educational Psychology Review, 35(4)
Working memory can only handle 7±2 items at once. We present information in perfectly-sized chunks, build complexity gradually, and never overwhelm you with too many concepts. Our AI monitors your cognitive load in real-time and adjusts pacing to keep you in the optimal learning zone.
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—focused, challenging work with detailed, immediate feedback—is the key to mastering a subject. Grassroot's personalized curriculum and quizzes are tailored to your strengths and areas for improvement, augmented by our analytical dashboard, to accelerate your learning journey.
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
Learning accelerates when instruction adapts to each student's individual base of knowledge and preferred means of learning. By adjusting difficulty, pacing, and teaching methods in real-time, Grassroot's learning algorithm ensures every lesson builds perfectly on what you already know.
Sweller, J. (1994). Cognitive load theory, learning difficulty, and instructional design. Learning and Instruction, 4(4), 295-312
Students learn best by explaining, visualizing, and enacting concepts, which facilitate deep learning through active knowledge construction. Rather than encouraging passive information absorption, Grassroot prompts students to articulate their reasoning, construct representations of what they learn, and engage in problem-solving activities that foster meaningful knowledge integration.
Fiorella, L. (2023). Making Sense of Generative Learning. Educational Psychology Review
Students who develop awareness of their own learning—knowing when they understand, when they're struggling, and what strategies work best—become dramatically more successful learners. Grassroot teaches you to monitor your own progress and adjust your approach depending on the concept, building lifelong learning skills that extend far beyond academic development.
Fiorella, L., & Mayer, R.E. (2021). Fostering Metacognition to Support Student Learning and Performance. CBE—Life Sciences Education
students fail
Traditional lecture-based learning has a 33% failure rate in STEM courses
Freeman et al. (2014), PNAS
better outcomes
Students move from 50th to 85th percentile with personalized AI tutoring
Wang et al. (2024), Educational Computing Research