Abstract: A computerized learning system and method is provided. According to the method, user performance data for a unique user may be received from learning application programs executed on a user client device. The received user performance data may be used to determine an assessed user learning level for the user. The assessed user learning level may be stored in a learner profile for the user and may be sent to a learning application program upon request.

Abstract: A computerized learning method is provided. The method may include receiving performance data for a user from at least one of a plurality of learning application programs, at a learning service program. The method may also include updating a learning level of the user based on the performance data from at least one of the plurality of learning applications, and determining a recommendation for the user based on the updated learning level. The recommendation may be displayed on a graphical user interface of the learning service program. The determination of the recommendation may be based on a measured change in a learning level for a group of users with at least one profile element similar to the user. In this manner, effective recommendations for the user may be made.