World's Most IntelligentAdaptive Learning Platform

Powered with tutor-like human intelligence, our platform delivers millions of adaptive, mastery-based learning moments every day.

Maximize Learning Outcomes at Scale

To achieve this vision, we've built an intelligent platform with human-like reasoning powers that amplify the capabilities of a tutor. We pride ourselves as the only platform with the resilience, reasoning, and autonomy required to deliver learning at scale that cannot be done using conventional AI approaches. How we do this? By painstakingly interweaving the most effective evidence-based strategies and techniques drawn from decades of research involving cognition, instruction and learning data.

Cognitive Intelligence

Intelligence derived from cognitive science based strategies and techniques to improve how students process and retain knowledge over the long term.

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Learning Intelligence

Intelligence derived from learning science based strategies and techniques to improve how to teach students and assess their knowledge accurately.

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Data Intelligence

Intelligence derived from data science based strategies and techniques to deliver an unparalleled adaptive learning experience for each student.

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Research Advisors

Distinguished professors and renowned researchers from Stanford University.

Dr. Emma Brunskill

Department of Computer Science

Stanford University

Dr. Brunskill is a computer science professor at Stanford where she is part of the Stanford Artificial Intelligence Lab and the Statistical Machine Learning Group. Her research focuses on reinforcement learning in high stakes scenarios - how can an agent learn from experience to make good decisions when experience is costly or risky, such as in educational software. Her recent publications include: "The Misidentified Identifiability Problem in Bayesian Knowledge Tracing".

Dr. Karin Forsell

Department of Education

Stanford University

Dr. Forssell is the Program Director for the Learning, Design, and Technology Master's Program at the Stanford Graduate School of Education. Her research focuses on the choices people make in learning about and using new digital tools, with a special interest in teachers as learners and the design process. Her recent publications include "Making Meaningful Advances: TPACK for Designers of Learning Tools".

Dr. Rob Tibshirani

Department of Statistics

Stanford University

Dr. Tibshirani is a professor of statistics at Stanford where he leads research in data science and statistics and how they can bring scalable social change. He is passionate about combining math and computer science to solve real-world problems. His research focuses on the challenges with sorting through large amounts of data and separating out the consistent patterns from the noise. His recent publications include: "The Elements of Statistical Learning: Data Mining, Inference and Prediction".

Independently Recognized

ScootPad has been recognized as the world's leading adaptive learning platform by the non-profit education research firm EdSurge and reputed global market research firm HTF.

Sponsored by The Gates Foundation, EdSurge developed a framework to decode "adaptive learning technology" and offers a three-pronged approach to evaluate how tools adapt to learners in real-time.

ScootPad has been recognized as the leading adaptive learning platform that offers adaptive content, adaptive assessment and adaptive sequence. Of the 24 tools evaluated, ScootPad is the ONLY tool that offers adaptive learning across content domains (Math and ELA) for grades K-8 and accessible 24x7 over the cloud on any device.

ScootPad has been recognized as a leader in the rapidly growing Global Adaptive Learning market by HTF market research. Key players recognized in this research report include: D2L, Knewton, McGraw-Hill Education, ScootPad and Smart Sparrow.

HTF's research report Global Adaptive Learning Software Market 2017-2021, has been prepared based on an in-depth market analysis with inputs from industry experts. HTF's research also forecasts the global adaptive learning software market to grow at a CAGR of 31.07% during the period 2017-2021.

Cognitive Intelligence

Evidence-based strategies and techniques drawn from decades of research in cognitive science, implemented painstakingly and enhanced over 5 years, enable the intelligence on our platform to help improve how students process and retain knowledge over the long term.

Cognitive ScienceEducational PsychologyHuman Memory

Knowledge Segmentation

Reducing cognitive overload by creating bite-sized knowledge segments and allowing processing time between successive segments.

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Cognitive ScienceHuman MemoryMultimedia

Dual Coding

Instruction designed to leverage both visual and auditory channels of human brain's processing capacity will lead to deeper learning.

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Cognitive ScienceEducational PsychologyHuman Memory

Making Learning Last

Enabling deep, long-lasting conceptual learning rather than surface-level, short-term memorization.

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Cognitive ScienceNeuroscienceGrowth Mindset

Growth Mindset and Motivation

Fostering growth mindset and emotional behaviors to generate intrinsic motivation and self-determination.

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Learning Intelligence

Evidence-based strategies and techniques drawn from decades of research in learning science, implemented painstakingly and enhanced over 5 years, enable the intelligence on our platform to help improve how to teach students and assess their knowledge accurately.

Learning ScienceCognitive Psychology

Interleaving

Exposure to related concepts is interleaved rather than blocked to enable robust encoding and better long-term recollection.

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Learning ScienceCognitive PsychologyHuman Memory

Spacing

Concepts are revisited repeatedly over time across many sessions and recalled after a longer break to ensure knowledge retention.

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Learning ScienceInstructional Design

Scaffolding

Identifying knowledge gaps and delivering supportive instructional scaffolds is critical and educationally consequential.

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Learning ScienceCognitive Psychology

Retrieval Practice

Delayed subsequent retrieval practice is more potent for reinforcing retention than immediate practice.

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Learning ScienceCognitive Psychology

Mastery Learning

a.k.a. "learning for mastery", students are required to master each concept before moving on to dependent concepts.

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Learning ScienceInstructional Design

Personalized System of Instruction

a.k.a. "The Keller Plan", is an enhanced mastery learning strategy to ensure reinforcement throughout the learning process.

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PsychometricsCognitive Psychology

Advanced IRT

Dynamic and multidimensional student knowledge measurement at each bite-sized concept contingent on the performance across the interdependent web of concepts.

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PsychometricsInstructional Design

Technology-Enhanced Items

Engaging and rigorous items enable deeper engagement and higher level of thinking with each and every student response.

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Data Intelligence

Data-driven strategies and techniques drawn from decades of research in data science, implemented painstakingly and enhanced over 5 years, enable the intelligence on our platform to help deliver an unparalleled adaptive learning experience for students.

Data ScienceGraph Theory

Knowledge Map

Flexible and expressive ontology to facilitate true learning progression through the interconnected web of concepts.

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Data ScienceArtificial IntelligenceDiscrete Optimization

Mastery Engine

Powering adaptive, mastery-based learning moments at scale through interleaving, retrieval, spacing, scaffolding and assessment.

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Data ScienceArtificial IntelligenceMachine Learning

Student DNA

a.k.a. The Knowledge DNA that contains information on what the student knows and how they achieved progress towards mastery.

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Data ScienceArtificial IntelligenceMachine Learning

Content DNA

Data-driven content modeling to enable predictions of learning, content quality improvement and enhanced learning progressions.

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Data ScienceArtificial IntelligenceMachine Learning

Self-Adapting Platform

Our platform is continuously learning from the data collected from all students to optimize each student's learning path.

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Want to learn more? Call us at 1-800-844-5203.