Learning Management Systems (LMSs) have been used by businesses for a long time. However, as training needs evolved, firm leaders, noticed that something was lacking. There was widespread agreement that a more diversified and vigorous learning environment was required.
The corporate training market has witnessed a lot of innovation over the last half-decade or so. Lifelong learning, adaptive learning, and engagement learning are examples of more sophisticated techniques that are increasingly becoming popular.
What is a Learning Experience Platform, and how does it work?
The Learning Experience Platform (LXP) is a consumer-grade learning platform that helps users discover new learning opportunities and creates more tailored learning experiences. By synthesising learning materials from many sources, suggesting and distributing them across digital contact points, such as desktop applications, mobile learning apps, and others, with the use of Artificial Intelligence To offer highly personalised learning, LXP platforms employ new digital technologies to tap into a plethora of internal digital learning materials, external 3rd-party content, and user-generated resources.
Learning Experience Platforms are becoming more popular.
Learning experience platform (LMS) are the backbone of most corporate learning initiatives (LMS). While LMSs serve their primary goal of delivering training content to employees across the organisation, corporate training requirements have developed beyond what typical LMSs can provide.
The awareness that companies need to enhance their products and services to provide their consumers a better experience was perhaps the most crucial driver driving the birth of fresh experience-based platforms, particularly in the learning ecosystem. This was partly based on feedback from customers and learners about current systems, such as LMSs.
Personalization is becoming more popular.
To begin with, “traditional” LMSs acted largely as a centralised collection of corporate digital learning content. It was often difficult for users of those platforms to wade through large volumes of material in order to discover a suitable piece of learning. Smart searches and novel querying tools were introduced by LMS providers to close the gap, however this didn’t completely solve the problem: LMSs were still like massive libraries where you should only go when you have a general notion of what you’re looking for, and then spend excessive amounts of time looking for it!
Norms are being pushed to their limits.
Another factor driving the growth of LXPs is the adoption of SCORM-based standards by newer LMSs. While SCORM “gets results,” it is restricted in its capabilities. Connecting learning to on-the-job performance is one of the key aims of any corporate learning platform. Furthermore, SCORM makes determining how successful the courses are or how learners profit from them extremely difficult. On the other hand, the Experience API (xAPI) – the standard supported by LXPs – greatly expands the platform’s possibilities. When you utilise xAPI, you may track many factors while learning and doing on-the-job duties. And, what’s more, you can do it on a number of platforms.
Beyond the term “intelligence”
Many LMS systems boast about being “very intelligent.” Newer data processing and analytics technologies, on the other hand, have increased the demand for business learning solutions much beyond “intelligence.” That’s exactly what LXPs are for! Everything has grown even more intriguing as AI technologies have progressed:
Consider gathering all of this information on users, their behaviour, performance, and learning and delivering it to an AI data engine. All of this data is transformed into actionable knowledge by AI, which tells you exactly which courses your student needs to take.
Traditional DXPs and traditional digital transformation methodologies focused on digitising existing content and processes. This usually entailed transforming what was already in place and providing consumers with a new experience by wrapping it in new digital user interfaces. All of that has changed because to new technologies like Data Analytics, Artificial Intelligence (AI), Virtual Reality (VR), and Augmented Reality (AR).
Distribution of material has shifted.
The content availability environment is also evolving due to new means of content distribution, such as subscription-based and Software-as-a-Service (SaaS). Consumers include:
- Apple TV is gravitating toward premium subscription models for its programming, such as Netflix and Amazon Prime Video.
- On their mobile devices, they are watching Video-on-Demand (VoD) programming from their cable networks.
- YouTube provides free internet entertainment and educational videos.
- Choosing to download music from Apple’s iTunes or Amazon’s MP3 store
One of the distinguishing characteristics of LXPs over LMSs is that they have extensive content finding capabilities. Learners are not limited by premade catalogue content and may search out intriguing stuff on their own, while the platform also directs them to appropriate content.
Capabilities for extensive integration
Extensive integration features that enable learning to be advanced by connecting to a diverse range of ecosystems. For example, using data analytics, LXP-LRS integration may assist give meaningful information (trends and patterns) that can help personalise learning even more.
Using AI in conjunction with LXPs can improve learning even further. Learning Bots, for example, are communication widgets and devices that may let employees build their own learning routes and function as personalised learning assistants.
Supports a variety of learning styles
Microlearning, Gamification, and Adaptive Micro Learning are used to support numerous forms of learning, such as problem-based learning, group-based learning, ILT, and blended learning.
Interfaces that are really simple to use
They use relatively intuitive interfaces, similar to Netflix and Google, to present material based on previous interactions and preferences. LXPs can deliver highly adaptable, contextualised learning experiences based on a study of work performance, skills gaps, and on-the-job competences required using intelligent knowledge discovery (IKD).
Learning platforms are now offering Software-as-a-Service (SaaS) models to their clients as a result of the steady change from one-time payments to cloud-based subscription-based businesses. As a result, material becomes a component of digital learning networks, is integrated into commercial learning solutions, and eventually becomes a part of larger LXPs. Looking back on all of these changes, from the introduction of innovative content production methodologies and publication channels to how new data consumption platforms arose, it’s clear to see why LXPs inevitably evolved as a result of DXPs.