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One of the important learning scenario scenarios is to enable tutors to mentor learners in multiple courses easily. To enable this, a new batch type (named ‘tutoring batch') is created. This batch can be associated with a collection of courses, thereby allowing mentoring for multiple courses. In addition, this batch does not provide the ability for learners to enrol into courses. These batches can be used only for mentoring and helping learners in achieving the desired learning outcomes of the courses, i.e. the learning and mentoring processes of learning are decoupled and organic course consumption is also supported.
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An alternate approach is to leverage the telemetry pipeline and druid infra for this. If the audit event is generated with required rollup information (module, course and batch ids), then we can aggregate the progress at different levels using druid queries.
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Mentoring Tools
Currently, batches are being used only for progress tracking. But the main purpose of a batch is for mentoring and guide learners to complete the course successfully. Tutors will need to add relevant interceptions in learning to achieve this. Thus, there is a need for a set of tools which the tutors can use for creating this interceptions.
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