5 Reasons Why Learning Analytics Stimulates eLearning More
Peter Ferdinand Drucker, a renowned management consultant and educator, once quoted as saying, “What gets measured gets done.” The statement is true even when it comes to eLearning which takes place on a Learning Management System (LMS). However, the question here is: don’t you like to know how productive your learners are and how good your courses are on your LMS?
That’s where the learning analytics comes into the big picture of eLearning. From the big piles of LMS data (Big Data), you get the remarkable insights out of it about your learners’ behavior; What kind of courses, timings, etc. work for them and you and what does not.
How do you know that?
Here is a list of five reasons why learning analytics are important if you employ eLearning software for education/training at your organization.
#1 Personalized Learning Space and Pace
This post aims to remind people of their growth in anything as an absolute. You like to do things at your own pace. And every learner cannot learn at the level and pace with the rest of them. In the same way, the learning analytics helps your learners find their learning space and pace for optimum learning outcomes, which help in effective organizational decision-making.
For doing so, draw out the insights at each step of their learning curve. The insights such as the courses that suit her, the timings she prefers to learn, and such others prioritize your learner’s learning /training.
To that end, it is feasible to create custom courses to bring out the best from each of your learners, allowing them to learn at the space and pace they are comfortable.
#2 Performance Forecast
A part of the usefulness of learning analytics is to predict learners’ performance in advance so that a trainer or a manager can take necessary steps to engage and encourage at-risk or low-performing learners. Either from their learning analytics from the big pile of system data or directly from themselves, you can elicit why they are not productive at so and so education/training.
Ultimately, predicting the performance of your learners helps you take precautionary measures to improve their learning experiences.
#3 Perfect Your Course
Has your course gotten a smaller number of registrations? Or, is everyone passing training? Does your L&D consist of boring, monotonous text material? These facts are enough to smell a rat. The learning analytics helps you get such insights as above. Based on those invaluable suggestions, rework on your courses until you get them right enough to effectively train/educate your learners. Thus, you perfect your courses for optimum learning experiences.
#4 Productive eLearning
How do you make your learners productive at eLearning? For that purpose, you have to first improve their engagement levels beyond your courses. The learning analytics shows which courses, activities, quizzes, assignments, Scorm, or as such getting highest and lowest levels of learner engagement. Again here, if you have designed your courses properly (read, engagingly) based on the insights, you automatically increase your learners’ productivity for better profits.
Otherwise, you have to check for where the learners are going wrong, why they are going wrong, and how to get over that unproductivity. You can draw such crucial insights from the learning analytics from your LMS.
#5 Practicable Courseware Budget
You can know to which course or part of it working or not working, then you can either focus on improving the course (or, its parts) or allocate the time and efforts to improve on what’s working for learners. Learning analytics helps you in this regard. Observing the same from your analytics, you can conclude and accordingly allocate your budget to prepare high-quality eLearning material at a reasonable cost. As a result, you cut through the cost of education/training and improve the Return On Investment (ROI).