Targeting specific learner subsets within a learning management system (LMS) enables tailored communication. For example, instructors can contact learners who haven’t submitted an assignment or congratulate those who achieved high marks on a quiz. This selective communication relies on identifying learners through attributes like enrollment status, assignment completion, or grades.
This granular approach fosters personalized learning experiences, allowing educators to address individual needs efficiently. It reduces the likelihood of learners overlooking crucial information by minimizing inbox clutter with irrelevant messages. Historically, such targeted communication required manual effort, but modern LMS platforms have automated this process, significantly improving instructional workflow. This targeted messaging also allows for timely interventions, potentially improving student success and retention.
