Extended reality (XR)-based learning can be very effective not only for the immersive aspects of the experience, but also for the analytics it provides to both the learner and the business overall.
XR captures unique data in real-time while a learner is immersed, setting it apart from traditional training methods. And as we leverage the power of artificial intelligence (AI), this feedback can inform the user’s actions and reactions, helping them have a deeper learning experience, while also giving the enterprise enriched data and analytics to continue to improve its learning programs.
Actionable Behavioral Insights for the Win
For enterprises attempting to better understand the impact of immersive learning programs, a unique set of data can be captured in XR that offers advanced insights that are extremely useful to learning and development (L&D) leaders.
Learning programs in traditional mediums offer typical usage analytics — who in the organization is progressing through the training, how often, and when they are completing it. Some can offer varying levels of performance analytics depending on the capabilities and implementation. But in XR, unique data can be captured to provide in-depth insights into how learners’ actions, behaviors and decisions in an immersive medium can translate to real-world job performance, preparedness and proficiency.
Insights about spatial attention, visual recognition and managing on-the-job interactions through verbal fluency are derived from data that cannot be captured by the traditional mediums and methods of computer-based, or even onsite training scenarios. For example, data-driven organizations can benefit from spatial data insights captured in XR. It can give organizations an ultra-clear picture as to where the learner is specifically directing their attention, from where they look and how they move, to what they react to within a module. These insights can give management a unique perspective on engagement and focus, and inform leaders on the aggregate impact of learning engagement overall.
Aye-Aye for AI
AI-powered immersive learning can take capturing data potential to a new level, and can be a powerful and impactful combination in the modern workplace. As AI continues to advance and become more customized, dynamic and naturalistic, XR training could become the norm. As a result, individual learners could receive more personalized, focused learning exercises better tailored to their skill levels. For example, if a learner needs more attention in a specific area, real-time analysis during their session can pivot the experience to address that need to ensure learning is targeted, effective and impactful. Within an XR headset, learners practice critical job skills without the inherent risks often affiliated with other learning methods.
Traditional types of learning do not always create a “sticky” learning experience for employees. AI can achieve this more easily by meeting the learner where they are, so that the training material is the perfect level of engaging and challenging (and delivers true business impact as a result).
Analytics Does the Heavy Lifting
Let’s look at a practical use case for XR in the enterprise — hazard spotting — and how data analytics can play a unique and valuable role.
In industries like manufacturing and construction, where employees use heavy equipment and/or handle toxic chemicals, immersive training can be invaluable. Through simulation training, for example, field workers can walk through real-life scenarios to learn topics such as how to spot potential hazards in the workplace. By implementing XR-based training methods into your training programs, you can promote learning by doing. And while learners walk through the simulations and build knowledge, the technology can capture data for learning leaders to evaluate and use to highlight skills gaps and identify individual employee’s learning needs.
These data-driven insights can result in real bottom-line savings for an organization. Learners also can benefit from the data and insights. The AI-based training can enable them to watch recordings of themselves performing the tasks, helping them hone in on that particular skill or behavior required to effectively do the job. This is particularly useful for people working on developing their soft skills, which are essential in roles that require dynamic customer service or leadership skills. Body language, tone of voice, diffusing difficult conversations and other gestures can be observed to provide immediate, personalized feedback.
All of this can effectively help a learner improve their performance. Learners can repeat and immerse themselves in the training until they are comfortable with the results. It’s an effective way to rewire the brain and learn by doing.
Business Benefits: Examples to Consider
Take TD Bank, for example. It recently completed a North American pilot of its advanced virtual reality (VR) training to branch associates. Almost 80% said VR was more effective than traditional training. 93% said their ability to retain the information they learned throughout the pilot was either “high” or “very high.” And, almost 90% said they would be confident to apply what they learned to real world situations at the Bank.
Another example is Sprouts. The organic food purveyor found that new hires who completed core values training in VR were 16 times more likely to remember all six of the company’s core values, and they saw an 81% reduction in onboarding new employees — from four hours to 45 minutes. Plus, 83% of learners reported feeling more motivated to do their jobs after immersive training. Two companies with considerable, measurable success with their immersive learning programs.
As technology moves at a speed not ever seen before, immersive learning has and will become one of the most impactful solutions for companies interested in keeping their employees engaged, motivated and well prepared for a future workplace that may look nothing like the one they are working for today.
The future is now, and XR has cemented its place as a central player in driving a more performant workforce. Data-driven insights can result in real bottom-line savings for an organization.
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