With traditional e-learning, analytics are typically limited to completion, progress and an optional score often based on a quiz. More advanced analytics approaches require additional instrumentation through standards like xAPI. However, these approaches often require manual coding and the generated data needs to be manually processed to provide value.
Area9’s adaptive approach both creates and consumes comparatively vast amounts of data. Data is generated automatically with no coding necessary, and is used in real-time to optimize each learner’s path to mastery and lead to 100% proficiency against the defined learning objectives. It can also be reviewed by educators and content developers to gain insights into learners, make tactical improvements to content, and make strategic decisions about curricula.