Adaptive Learning Style

ALEKS is a web-based, artificially intelligent assessment and learning system. It uses adaptive questioning to quickly and accurately determine what a student knows and doesn't know in a course. ALEKS then instructs the student on the topics they are most ready to learn. As a student works through a course, ALEKS periodically reassesses to ensure that knowledge is retained. Its strength lies in mathematics and science disciplines, providing a highly personalized learning path based on individual knowledge gaps.

Knewton Alta is an adaptive learning platform designed to improve student outcomes in higher education. It provides personalized learning experiences by continuously assessing student understanding and adjusting content accordingly. Alta focuses on affordability and accessibility, aiming to make adaptive learning available to a wider range of students. The platform covers a range of subjects, including math, statistics, and economics, offering interactive learning materials and detailed performance analytics. Its adaptive engine adjusts the difficulty and content based on student performance.

RealizeIt is an adaptive learning platform that focuses on providing personalized learning experiences in STEM fields. It uses sophisticated algorithms to identify student knowledge gaps and deliver targeted instruction. RealizeIt emphasizes interactive learning materials and provides detailed analytics to track student progress. The platform offers a wide range of features, including adaptive practice problems, personalized feedback, and customizable learning paths. Its goal is to improve student outcomes and increase engagement in STEM subjects.

Smart Sparrow is a platform that empowers educators to create and deliver personalized learning experiences. It allows instructors to design adaptive learning activities and simulations tailored to specific learning objectives. Smart Sparrow provides a range of tools for creating interactive content and assessing student understanding. The platform emphasizes active learning and encourages students to engage with the material in meaningful ways. Its flexibility and customization options make it a popular choice for educators looking to create unique learning experiences.

Querium (now part of Imagine Learning) is an adaptive learning platform specializing in math and science education. It leverages AI to provide personalized learning experiences for students in middle school through early college. Querium focuses on identifying and addressing individual learning gaps through targeted practice and remediation. The platform offers real-time feedback and detailed analytics to help students and educators track progress. Its adaptive engine dynamically adjusts the difficulty of questions based on student performance, ensuring an optimal learning experience.

Cogbooks is an adaptive learning platform designed for corporate training and higher education. It uses AI to personalize the learning experience and improve knowledge retention. Cogbooks focuses on creating engaging and interactive learning modules that adapt to individual student needs. The platform provides detailed analytics and reporting to track student progress and measure the effectiveness of training programs. Its adaptive engine continuously adjusts the content and difficulty based on student performance, ensuring an optimal learning experience.