'Know they can' through advanced exercises
As an employer, you'll want to know that your employees can actually do what they need to do, perhaps as new starters or before working with customers. One effective way to 'know they can' is to train them with custom exercises on Calibrae LMS. Custom exercises provide complete freedom to generate custom learning scenarios for your learners. They are written in JavaScript and HTML, meaning that scenario data can be computed and presented to the learner to suit your exact requirements.
Try this one below. Before taking a boat out to sea, you want to know an employee can calculate tide levels from given data so they won't accidentally run the boat aground. Use I'd like a hint for step-by-step guidance on how to calculate the tide levels. If you can perform the task correctly 5 times in a row, each with different data scenarios, we can have confidence you know how to calculate tides!
Other examples
1. Having created a data-set of different entity types, each with their own image, name and description, an entity is chosen at random and it's name or description is shown to the user, with the task of identifying the chosen entity.
2. In this example, two messages from a log file are autogenerated. One of the messages may or may not then be doctored in some way. The learner identifies if a message has been doctored. In this case, the learner needs a deep understanding of the message construct and the purpose/syntax of each header.
For each new question, different logs are generated.
3. In this example, a set of registrations is automatically generated and displayed to the learner. However, part of the registry information for one phone is obscured. The learner uses the information from the phones displayed below to deduce the answer.
Another variant of this question focusses on the Expires values, asking the learner to deduce if the registration for a given user is still valid.
4. In this example, a message is auto-generated and perhaps doctored. If necessary, the learner corrects the doctored message.
5. A call scenario is autogenerated with special features that should be applied to the caller and the callee. The learner studies the message and the application requirements then builds the required application sequence by dragging and dropping applications into the server.
Each new question is a different scenario, with different messages, caller, callee and application requirements.
For more on custom exercises get in touch for a demo
