Knewton (Wiley) - Detailed Review

Knewton Overview

Knewton, now part of Wiley, offers a sophisticated AI-driven education platform that is packed with several key features and functionalities, each designed to enhance the learning experience for students and instructors.

Adaptive Learning

Knewton’s platform uses artificial intelligence and machine learning to provide a highly personalized learning experience. It analyzes vast amounts of data to understand each student’s unique needs, preferences, and learning style. This adaptive technology adjusts the content and pace of learning in real-time, ensuring that students are engaged and challenged at their own level.

Real-Time Feedback and Remediation

The platform offers immediate and detailed feedback on each question, regardless of the answer’s correctness. This feedback reinforces key concepts and fills knowledge gaps. If a student struggles with an assignment, Knewton Alta recognizes the knowledge gap immediately and provides just-in-time remediation, even reaching back to prerequisite concepts if necessary.

Personalized Learning Paths

Each student receives a customized learning path based on their performance. The AI algorithms continuously monitor students’ performance and adapt the content to maximize their learning outcomes. This ensures that instruction does not move forward until the student has proven mastery in each learning area.

Integrated Just-in-Time Instruction

Knewton Alta pairs practice with personalized learning, offering detailed answer explanations and integrated just-in-time instruction. This approach ensures that students receive the support they need at the moment they need it, helping to retain, recall, and apply knowledge in the future.

Analytics and Reporting

The platform provides actionable data and insights into student performance and preparedness through a gradebook and dashboard. Teachers can track student progress, identify areas of improvement, and adjust their instruction accordingly. This real-time analytics engine helps in making informed decisions about student learning.

Content Organization and Delivery

All content, including instructional text, videos, examples, and assessments, is organized by learning objectives and served up at the precise moment a student needs it. This ensures that the learning experience is coherent and effective.

Collaborative Learning Features

Knewton AI incorporates collaborative learning features, allowing students to learn in virtual classrooms, participate in group projects, and engage in interactive discussions with their peers. This enhances the learning experience by fostering a more interactive and engaging environment.

Scalable and Flexible Architecture

The Knewton platform is built on a service-oriented architecture that allows it to scale efficiently, handling concurrent activity from tens of millions of students. The Knewton knowledge graph and its associated ontology enable flexible and expressive ways to describe relationships between content, making it easy to integrate new collections of content quickly.

Performance Metrics

The platform tracks various performance metrics, such as the Active Time metric, which measures how much productive time students spend engaged with educational materials. This helps in identifying how effectively students are using the learning system.

Accessibility and Affordability

Knewton Alta is designed to be accessible and affordable, providing high-quality course materials to ensure students have the best chance at success, particularly in developmental and gateway courses like math and statistics.

Conclusion

In summary, Knewton’s AI-driven education platform leverages advanced machine learning algorithms to deliver personalized, adaptive learning experiences. It provides real-time feedback, remediation, and analytics, ensuring that both students and instructors have the tools they need to achieve their educational goals effectively.