Accept xAPI and/or Caliper statements, so we can allow them to be used as indicators in learning analytics. This would enable the system to take demographic or grade history into account.
We may need to provide a recommended taxonomy/vocabulary for xAPI or Caliper statements, which can be almost anything. I would suggest starting with some expected indicators like SES (socio-economic status), cumulative GPA, and basic categories of prior test scores or qualifications (e.g. mathematics, language of instruction), with a way for the system administrator to specify which statements from external LRS systems should align with each category. Institutions with existing LRS and analytics systems will be more interested in capturing statements from Moodle Inspire to include in their own systems, but for many institutions, Inspire is likely to be their first analytics system. An alternative to accepting LRS statements would be the ability to select custom profile fields for these data elements, as many institutions have some mechanism for importing SIS data to student profiles, or even use Moodle as a simple SIS.