Are you looking for ideas to make your training more engaging and fun? Learning technologies can help you deliver appealing learning experiences. Continue reading to learn about the top 5 technologies that can help you transform your training initiatives.
Learning technology is an umbrella term that refers to the use of information, communication, and technological tools to enhance understanding, teaching, and assessment.1 Though there are plenty of reasons to incorporate learning technologies in your training, we will focus on some of the key ones.
Learning technologies will help you offer personalized learning, boost content mastery, and, above all, make learning entertaining, which can translate to better application of on-the-job training and ultimately better business outcomes!
Artificial intelligence (AI), in simple terms, is the capability of machine algorithms to arrive at conclusions without direct human intervention. It involves making smart machines arrive at decisions by analyzing data available in an enterprise. AI can be the biggest game changer by 2030, potentially adding a whopping $15.7 trillion to the global GDP.2
AI in L&D is claimed to have significant advantages in supporting learning, particularly in the workplace setting.
It might be surprising to learn that AI in education (AIED) has been in vogue since the early 20th century - machines that provided instant feedback and were often referred to as personal tutors.
AIED has now evolved into intelligent tutoring systems that match one-to-one coaching and go on to provide feedback and customize the curriculum based on the learner’s needs. The current offshoots of AIED include explorative learning environments, chatbots, continuous feedback, and more.3
Let us look at some exceptional AIED applications:3,4
|Train problem-solving and diagnostic classification in dermatopathology
|Communicates clinical reasoning with feedback as per the learner's pace
|Analysis of melanoma cases by looking at virtual slides with a virtual microscope
|Engages learners in dialogues about the risks of genetic breast cancer
AIED at the workplace has the potential to boost learning by offering personalized, meaningful, and continuous learning and helping foster employee satisfaction and engagement.
The term “metaverse” classically describes the perceived 3D virtual spaces created with an amalgamation of virtual worlds, augmented reality, AI, and the internet.5 Hand controllers, voice commands, and eye tracking allow the users to navigate their perceived environment.
The 4150 metaverse USPTO trademark filings as of August 2022, almost double the 2021 filings of 1866 applications, speak of the buzz it has created.6
Let us now look at a few innovative metaverse use cases:
Gamification in L&D is a great way to drive engagement, raise curiosity, and make your learning enjoyable and effective. A 2019 survey about gamification in the workplace reported that 83% of the respondents who received gamified training felt motivated, while 63% of the employees who did not receive gamified training felt bored and unproductive.9
Let us move on to the use cases of gamification:
Now, who does not like a compelling story, and the L&D arena is no exception? When incorporated into sales training, storytelling can help reinforce new learning with its emotional impact.
DaVita uses the power of storytelling coupled with technology to train its 65,000 employees by making them the heroes of their immersive patient empathy tale.12 Newer forms of storytelling have taken the shape of visually compelling and immersive data-driven stories, which act as a powerful tool to boost understanding. Instead of presenting statistics, rewriting it into a visual human experience helps it resonate with thousands of people, given the fact that people are far better at processing visual information than words.13
A noteworthy example of visual storytelling is “Mystery to Me,” a documentary based on patient stories about myasthenia gravis, a rare neuromuscular disease. This documentary won several accolades at the 2021 Fierce Pharma Marketing Awards, including the best online film.14
Learning analytics, though last on the list, is critical for any learning or technology employed. A generalized definition of “learning analytics” could be an emerging tool used for tracking and storing learning activities.15
Learning analytics is vital to chalking out your learning strategy – the intended business/learner outcomes. The analytics data will help you identify employees who need more attention and design future recommendations besides understanding learners and e-learning usage to understand learner engagement.
Now, if you are wondering how to get started using learning analytics, worry not. Most of the learning experience platforms (LXPs) now have this built-in feature. Most LXPs can provide information about what topics are being searched and help you understand the learner’s needs and customize the content. Further, LXP data can offer insights into learners’ online behavior, skills they mastered, and discern the level of learner engagement across the organization.
Now that you know the advantages of learning technologies to bolster learning and promote knowledge retention and engagement, you can start thinking about which of these technologies fit your requirements and incorporate them into your L&D initiatives.