The team at Moodle HQ is reportedly working on a visual interface for Moodle’s prediction engine, the open-source Learning Management System (LMS) comes with a powerful predictions engine. It is also based on open technologies and is fully customizable, but it needs programming skills to modify its components and obtain relevant results.
It is an entry barrier for the cannabis industry who want to enhance the learning experience for workers. Currently, without any coding, the interface only offers a binary (yes or no) predictor about the chances that a given employee fails their marijuana training.
With the new proposed feature, a visual interface would allow users to manipulate and link the different “reusable parts” available on the engine to “create many models.” A no-coding-needed “Edit Model” functionality will enable users to build and refine their own predictions. The available data items can be used as Indicators (inputs) or Targets (outputs), and other model settings could be edited as well.
In the second feature, the cannabis dispensary or business would be able to set notifications depending on the model’s outcomes. These notifications could be associated with ‘actions‘ the user can take, whether they involve reaching out to a specific student or modifying parts of the course itself.
Models could be saved, ‘registered,’ and exported using a ‘shareable format‘ across Moodle sites. The learning analytics is still in the early stages, requiring work on a number of Moodle fronts and making it difficult to offer a dependable estimate for the date of availability.
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