LMS WITH LEARNING PATHS
Abara LMS supports the creation of larger training curriculum using a feature called learning path. Learning paths, also called programs or learning plans in the LMS industry, provide administrators with the ability to construct a journey for learners towards completion of a learning goal.
LEARNING PATH FEATURES
Abara LMS’ learning path feature provides administrators with the ability to:
Create a blended program using multiple training methods (eLearning, ILT, and vILT)
Define completion policies of the learning path
Attach a completion certificate and course credits to the learning path
Specify completion criteria
Auto-assign learning path based on roles or custom fields
Review enrollment policies for learning path
Define visibility rules for viewing learning path based on audience groups, roles, etc.
Set up notification templates and reminders
Reports help administrators understand the status of a learning path—progress, completion, assessment results, and more—and take action where needed.
Abara’s learning path feature supports report extraction via CSV or PDF formats. These reports are customized using custom fields.
USE CASES FOR LEARNING PATHS
The learning path feature helps administrators automate an employee’s training journey in multiple use cases:
Onboarding new hires during the initial few weeks/months
Knowledge and skill-building within a current role
Knowledge and skill-building for a future role
Preparation for succession planning
Instead of putting together multiple courses together each time, a learning path can be built using a combination of courses in a particular sequence and assigned to learners to complete.
A learning path is a combination of courses so administrators can assign multiple courses via a single click or set up automation via auto-assignment rules.
Administrators decide on the type of courses to include within a learning path based on the learner’s objectives and training needs. They can add multiple types of courses like eLearning, Instructor-Led Training (ILT), and virtual ILT (vILT) with relative ease.