The goal of the Mazetec Learning Analytics is to act as a data collection instrument and make the simulation data accessible to the admins, authors, and authenticated systems. Mazetec provides a complete framework for processing, analyzing and interpreting data streams generated from simulation experiences. In addition the Analytics also serves as the xAPI Learning Record Provider (LRP) to a Learning Repository Store (LRS).
The usage Analytics should follow the xAPI format so less processing is needed to make the system interoperable. The xAPI data structure also happens to align with the data value 2.0 methodology.
Slice and dice your scenario data with custom visualizations, data filters and dashboards
Data is the crown jewel of the Mazetec application and we strive to make it available to you. Our data encapsulate all of the attributes to show impact and outcome and we are always adding more and putting them into practice to understand the effectiveness of our novel approach to online learning. The goal of our results data to measure user engagement, experience, and learning by uncovering the data behind how users navigate through simulations with all of the constraints and consequences of the real-world in an synchronous or asynchronous learn-by-doing digital environment.
Use the default dashboard or create your own to fit your needs.
Aggregated Data Analytics
Set one or many filters to extract the exact data you are looking for.