Your access to learning-related data has grown dramatically over recent years. But just because you have a large volume of data doesn’t mean it necessarily provides value. While tools like xAPI make it increasingly easy to acquire data about learners’ activities, this information provides little benefit if you don’t know how to design to acquire meaningful data, interpret that data, or improve your learning design based on what you’ve discovered.

Do you struggle with how to prioritize all of your training requests? Are you able to say no to some projects, or do you just take on every one that comes your way? Do you want to bring more rigor to the processes and strategies your team uses to accomplish your training goals? Then there’s a tool you’ll want to use to analyze your work and back up your decisions—data.

Going to RFP (request for proposal) for an LMS can be a daunting process. With all the special protocols, the nondisclosure agreements, and the thick cloud of secrecy that envelopes all parties involved, it can be frustrating and isolating. But once you accept that there’s no avoiding the pomp and circumstance of the process itself, you can begin to strategically position your company to choose the right LMS.

Rapid responses to “Code Blue” resuscitation events are critical to patient outcomes. MedStar Health has developed several training interventions over time to improve performance, but data from these activities were captured in disparate tools or not collected at all. Without a centralized method for analyzing data, understanding the impacts of different elements of the training program was not possible. This illustrates a common problem in blended learning approaches.

All groups within an organization need some way to demonstrate their value. However, unlike sales, L&D generally doesn’t have hard data to measure results. In the past, most learning departments have been limited to measuring only whether their users had accessed their programs—not the strongest metric of how their work contributed to the organization. But L&D isn’t the only group that faces these measurement challenges. Marketing also has similar barriers to finding data that shows its value, but some have found creative solutions to this issue. What can L&D learn from marketing when it comes to measurement?

You’re excited about the promise of an xAPI-enabled world, but you have a learning management system (LMS) and a host of SCORM-based courses that you need. You’ll need to make some strategic decisions, stay flexible, and manage the transition over time. What if you could get the most out of both an LMS and a learning record store (LRS) at the same time as you move to your next-generation learning and performance infrastructure?

When a new LMS administrator joined Whole Foods Market, she found herself in a decentralized organization right in the middle of scoping out a new LMS implementation. In only six months she would need to take this project from the early stages all the way to a systems launch. While not everyone may face this exact situation, if you’re considering implementing a new LMS, chances are you’ll experience many of the same pain points and challenges she had to face to make the launch happen.

LMS rollouts are never easy, but add a global implementation and a tight timeline, and this challenge could seem insurmountable. But Intuit didn’t want to just meet the basic requirements of this LMS rollout—the company also wanted to see how a more user-centered design approach could make this system more approachable and enjoyable for its audience.

L&D professionals often search for detailed, credible learning measurement coupled with an engaging and highly effective learning experience—a pairing that can be achieved only by revisiting L&D’s approach to creating content. By embracing the adaptive learning methodology, while continuing to leverage the sound instructional design principles and emerging technological innovations that have helped you succeed in the past, you can achieve a new level of training sophistication, intelligently adapting the learning experience to each learner based on their actions, decisions, and abilities.

Most eLearning designers and developers are starved for information about the efficacy of their solutions. Many of the existing models for evaluation and measurement aren’t easy enough to implement; and when they are implemented, they aren’t providing quality data.

The Experience API (xAPI) can improve the ways you create and deliver content, track interactions, and measure performance—and not just in theory. Years of momentum have resulted in numerous use cases for teams seeking to leverage xAPI to better track, measure, and manage their learning efforts. The challenge now is not whether xAPI can be used in your learning environment, but which ways you will choose to use it out of the multitude of options available to you.

Most eLearning tools out of the box publish to xAPI, but you still have to package up the course and upload it to your LMS, not really taking advantage of xAPI’s true potential of tracking learning no matter where the learning content may be.