Knewton fuses academic expertise with rigorous data science.
Knewton provides partners with an infrastructure platform that blends data science, statistics, psychometrics, content graphing, and tagging to enable personalization at a massive scale.
Building with Knewton
Building with Knewton
oon, every educational application will be adaptive. There will be adaptive quizzing apps, flashcard apps, textbook apps, simulation apps, and many more.
Knewton doesn’t create adaptive learning apps. Instead, Knewton works with partners to help them create or improve their own. By optimizing the apps with deep student proficiency data, Knewton can improve partners’ content, instructional design, cognitive science, and pedagogical approach.
The Knewton platform doesn't just provide powerful adaptivity. Knewton is an infrastructure platform that can provide pinpoint student proficiency measurement, content efficacy measurement, student engagement optimization, and concept-level analytics.
Third-party learning providers can use the flexible Knewton API to enhance existing digital products and build new solutions using the Knewton framework.
The adaptive learning experts at Knewton transform enormous quantities of data into actionable recommendations by exploring the structure of various content domains and constructing models that determine what students know and how they come to know it. The team also creates unique reporting interfaces and visualizations that provide longitudinal, actionable advice to students, parents, teachers, and administrators.
The adaptive learning team comprises three groups that lead cutting-edge research and development fueled by data, algorithms, and human expertise.
The pedagogical experts on the Adaptive Instruction team represent learning experiences through the Knewton graph ontology and evaluate those representations from a teaching standpoint.
Create instructional taxonomies to guide educational recommendations on the Knewton platform
Collaborate closely with subject matter experts at partner companies to help design their products; train outside vendors to use Knewton’s method of creating knowledge graphs
Research learning theories and principles of curriculum to inform product design
The Interactions team develops real-time adaptive interactions and recommendations for users of the Knewton platform.
Build models that estimate student knowledge and content properties to produce recommendations
Define the formal ontology by which Knewton receives information about learning goals and activities
The Analytics team extracts insight from data to improve the platform and enable users through longitudinal actionable advice.