MathU Infinity brings a unique approach to learning to a global market. Every user’s data is monitored to measure their learning performance and progress through the supplied content. Adaptive learning is used, both globally and locally, to deliver locally relevant versions of the content and gives each user the ability to influence the app structure through their performance.

The system learns from each student and presents them with optimum, customized learning paths based on their past performance. This promotes more rapid mastery of the content – and all at each learner’s own unique pace. The app has classes from top South African teachers and engineers.

The MathU team has developed the complete app in-house and uses the state of the art technology for the design of in-app services. The team is committed to making learning more engaging and effective.

Features:
The app personalizes learning based on each student’s pace and style of learning. Primarily, the MathU method uses an innovative Part A, B and C system to break a chapter down into easily manageable chunks.

Part A gives learners access to multiple videos, explained by engineers and teachers, of the necessary principles to understand a given sub-chapter.

Part B is a comprehensive collection of exercise problems. Each problem is accompanied, via the mobile application, by a written answer, written memorandum and video memorandum. Never does a student need to experience the frustration of not being able to find a memorandum to verify their calculations again, furthermore, they have access to a world-class explanation of every step of every exercise from multiple engineers and teachers.

Part C is a thorough collection of assessments, which are graded immediately by the mobile application. Our adaptive learning suite evaluates the user’s current level of understanding based on their assessment performance and identifies the concepts that were lacking in the given exercise. The app then builds a tailored path to reinforce only those concepts that were lacking with the learner during the assessment.

Once the learner completes their personalized learning path, the assessment once again becomes available and a learner can retake it to assess their understanding.