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    Analytics- Veena


    Learning analytics are software algorithms that are used to predict or detect unknown aspects of the learning process, based on historical data and current behavior. There are four main categories of learning analytics:

    • descriptive (what happened?)

    • predictive (what will happen next?)

    • diagnostic (why did it happen?)

    • prescriptive (do this to improve)

     Models can contain indicators (a.k.a. predictors), targets (the outcome we are trying to predict), insights (the predictions themselves), notifications (messages sent as a result of insights), and actions (offered to recipients of messages, which can become indicators in turn).

    Most learning analytics models are not enabled by default. Enabling models for use should be done after considering the institutional goals the models are meant to support.