You know how very much important it is to engage your workforce in a culture of continuous learning. If you know this then you perhaps also know that learning drives business in the organisation. But what you don’t know perhaps is if learners are actually learning enough, effectively, using the right kind of content to get the maximum return on investment you are making in their learning processes.
With the Learning Management System [LMS] becoming an indispensable part of design and development, organisations need look no farther to wed their Learning Management System to an effective learner analytics to leverage relevant data for long term gains. This makes learning a more focused and result oriented exercise.
Decoding learning puzzles
What, then, is Learner Analytics? Simply put, it is ‘the measurement, collection, analysis, and reporting of data about learners and their contexts.’ The purpose of data is ‘to gain a better understanding of the user’ and ‘to optimize their learning experiences.’ Using learner analytics tools through LMS, organisations can now decode many of the learning puzzles and find answers to conducting purposeful learning.
Data driven LMS
Especially, in a data-driven learning management system learner analytics help manage the learning process more effectively. This is besides the LMS’ usefulness in the management of classroom learning, gamifying learning, mobile learning, social learning, etc. Organisations also use LMS to organise eLearning courses, to track and schedule online learning, and then generate report on learning programmes.
Learner analytics, a great ROI
From an organisation perspective learner analytics for learning management systems is a great return on investment.
· It not only helps measure the effectiveness of the learning process but also increase the learning experience.
· It facilitates quantification of steps that bring about qualitative improvement in the learning process.
Measuring learning parameters
Data collected through learner analytics is an effective way of measuring course completion rates, students’ progress, users’ last logged in details, status of course, total students enrolment, total training hours, assessment of employees or answers and scores in a quiz, learners progress in course and total attempts at answering, etc.
Real time analytic
· An effective Learner Analytics for LMS is one that provides useful and real time analytic reports with different reporting abilities and titles.
· The different reports may be regarding data on students enrolled for a particular course and data of students who opt out of the course.
· It may also contain data of students completing the course with flying colours and the manner of their accomplishing it.
· Then, there might be another Learner analytics report on their interactive learning.
· It may also give details of the contents they mostly used in course of the learning process and the contents least used by them.
· The learner analytics for LMS also help organisations keep track of learner’s progress in learning.
· The data also help pin-point learner pain-points, particularly contents they are most uncomfortable with.
LMS in sync with predictive analytics and AI capabilities are also helpful in personalized learning for each learner on the basis of their job roles, ability, experience and chosen mode of learning, etc.
To conclude, effective Learner Analytics for LMS, in fact, may be an answer to annual wastage of more than 14 million dollars on providing ‘useless’ learning capabilities to about one thousand learners. Multiply the wastage with thousands of other ‘useless’ learners and you will know why there is so much emphasis on learner analytics for learning management systems in today’s workplaces than ever before.