Abstract: A learning system includes at least one student workstation which holds a learning session for a student. The system generates and displays primary instructional material to the student in accordance with student profile data for the student. The system causes supplemental material or content to be generated and displayed to the student at the student workstation when a downtime interval is triggered. The system generates the supplemental material in accordance with the student profile data for the student. The disclosed system thus enables downtime to be more appropriately utilized by the student, in a manner that accommodates the learning preferences and skill gaps of the student and/or that rewards the student for showing proficiency at a skill.

Abstract: The learning system disclosed herein enables a performance assessment to be incorporated or integrated into instructional materials being administered to a student as part of the student's current learning prescription. As the student progresses through the instructional materials, the system collects and maintains data regarding the student's performance. When data indicate that the student is not meeting certain educational goals, the system adjusts or alters the student's learning prescription to accommodate the student's current needs.

Abstract: Methods and apparatus for rewarding students with redeemable tokens during a lesson are disclosed. As the student works through the lesson, the system determines whether any designated performance events occur based on the student's performance. Based on any occurrences of performance events, the system may accumulate one or more tokens for the student. The system may provide a visual indication of any tracked occurences of performance events. For example, for each occurrence of a performance event, the system increments a progress meter by a designated amount. When progress meter reaches a designated level, the system accumulates a designated quantity of tokens for the student. The amount by which the progress meter increments for each occurrence of a performance event may be based on the type of performance event which occurs. Different types of performance events may have different values or contribute differently toward the accumulation of tokens.