eLearning analytics plays a huge role in influencing how eLearning designers approach workplace training. With the overall goal to improve productivity in the workplace, designers use metrics on learner behaviour and interaction to gauge the efficacy of their eLearning and to adapt the learning to best reach set goals. In this blog, we’ll cover the key eLearning metrics that contribute to workplace productivity.
Time Spent on Learning Activities
Monitoring the average time spent on each module provides insights into the effectiveness and engagement levels of your content. Learners who spend excessive time on one screen might be struggling with the content, while fast completion of learning activities could indicate that learners may be skipping through the content without properly applying their knowledge. These insights can help learning designers make their learning content more interactive, immersive, and relevant. Engaging and efficient learning experiences lead to higher knowledge retention, faster skill acquisition, and improved productivity when transferring learning to the workplace.
Measuring the time spent on a type of learning activity can also yield interesting insights about your learners. For example, you can identify motivated employees from how many optional modules they choose to complete in their eLearning course, or through active participation in discussion forums. These metrics can help workplaces identify individuals who display a genuine interest in learning and professional development. By recognising and investing in such employees, organisations can foster a culture of growth and innovation, leading to heightened productivity within the organisation.
Learning Progress and Completion Rates
Tracking learners’ progress and completion rates can help identify individuals or teams who may be falling behind. By intervening and providing targeted support, organisations can ensure that employees stay on track with their learning goals. This allows employees to have the necessary knowledge and skills to perform their tasks effectively, leading to improved productivity.
Monitoring completion rates is especially important for industries that have a heavy focus on compliance with regulations or standards. A high completion rate is a good sign that employees are up to date with the latest regulations, ensuring that organisations avoid costly penalties or legal issues from a lack of compliance by their employees.
Lastly, a low completion rate could be a sign that the content is unclear, not engaging, or too time-consuming. This data should inspire learning designers to create eLearning courses that are engaging and efficient, saving employees time and allowing for improved productivity.
Assessment Performance
Analysing assessment data can reveal areas of strength and weakness for employees. For instance, you can set up a pre-training quiz and a post-training quiz to assess pre-existing knowledge of employees before the training, and the knowledge gained by employees post-training. You can set up scoring metrics to indicate a fail, pass, or distinction mark for employees attempting an eLearning course. You could even set up badges to reward mastery of a topic, as a way to motivate and engage employees while measuring how many people have been able to certify their competence in a particular knowledge area.
If a large percentage of learners fail a course, this could indicate knowledge gaps that require targeted training interventions, focusing on areas that require improvement. By addressing specific skill deficiencies, employees can become more proficient and productive in their roles.
However, if a large percentage of learners score a distinction, this could signal a cohort of high-performing employees that could be given extra high-value projects. In some cases, depending on sustained high performance on eLearning modules over time, these employees could be considered for promotion opportunities. Using assessment data like this for performance management and rewarding high performers can improve workplace productivity.
Confidence Rating Questions
Confidence rating questions can help measure the confidence of your learners at the beginning and at the end of each module. If learners express a lack of confidence about a certain topic even after completing the module, this could signal the need for additional support, supplementary resources, targeted workshops, or revision of the content to provide better comprehension. By addressing these gaps promptly, organisations can enhance employee performance and productivity.
On the other hand, if learners express greater confidence about a certain topic after completing the eLearning module, this could indicate that the content was engaging, instructive, and applicable to their job. Therefore, this provides useful data on the type of learning experiences that should be replicated to boost employee confidence and performance in the workplace.
eLearning designers should always be aware of the key metrics listed above when launching a course. By continuously optimising the course as the learners move through it, designers and organisations can ensure that they create engaging eLearning with all the desired business benefits. Such eLearning analytics can be a valuable guide to boosting workplace productivity, ensuring an increase in business profits and a happier workforce that is engaged in a continuous culture of learning and development.