Imagine if instead of a one-size-fits-all elearning program, your business was able to personalize a unique path for each individual employee? Not only would that be more efficient, but it would also be more likely to keep employees engaged, provide better outcomes, and improve ROI.
The data from employee monitoring can help to make this a reality. However, if you want to try it out you need to understand the role monitoring data can play, and how to implement it.
Role of Monitoring Data in eLearning
As you probably know, employee monitoring tools such as Controlio can collect a wide range of data regarding employee activities and how they spend their work hours. The insights it provides will let you find out more about employees’ strengths, weaknesses, work patterns, and may even indicate what issues they’re having trouble with.
With the data from a worker monitoring software program like Controlio, you can potentially identify skill gaps, adjust the level of training based on employee proficiency, and schedule sessions based on when employees are normally available. Additionally, once the training is done, you can monitor employees to see how effective the training was, and figure out what types of training specific employees respond to best.
In short, monitoring data can be used as a goldmine of information that allows you to target elearning programs with greater precision. However, if you want to leverage employee monitoring this way in a business or for employers of file, you need to implement it carefully.
Basic Steps to Leverage Monitoring Data for eLearning
When you want to leverage monitoring data for elearning, you need to make sure follow a few basic steps:
1. Collect relevant data using monitoring tools. Typically this should focus on areas that provide useful insights for elearning, such as task performance and software usage, as well as work patterns including peak productivity hours and collaboration habits.
2. Analyze data to identify training needs for each employee. For example, if an employee is not utilizing a particular app it may be because they lack proficiency in it. Or, if they take longer performing a certain type of task they may need a skill up course in that area. It can also help to determine
3. Prepare modular elearning content that breaks training into smaller modules. This will make it easier to provide more focused training as opposed to longer courses that may have a lot of content that isn’t relevant to an individual employees’ needs.
4. Personalize elearning content based on the monitoring data. Decide what training modules would benefit employees most, as well as what learning style they generally prefer. The data can also be used to adjust the pace of training based on their learning speed as well as their workload.
5. Continue monitoring and iterate after the training is complete. Track how effective each training session was, ask employees for feedback, and use the data that is collected to further personalize elearning paths and optimize their delivery.
It should be noted that some modern elearning platforms have integrations with monitoring tools that will allow you to directly utilize the data.
Final Words
As you can see it really isn’t all that hard to leverage monitoring data to provide personalised elearning paths. All that it takes is a methodical approach to transform training programs from generic to targeted using the data that is available.
While personalizing training paths can take time, it is an investment that is worth making. In the long term you’ll find that it can not only produce better results but also improve engagement levels and make employees feel their training is more intentional and purposeful.