Artificial Intelligence (AI) is one of the biggest buzzwords in the industry today. Almost every digital system today is developing intelligence of its own, thanks to the infusion of learning algorithms within its code. One of the areas where this trend is visible the most is enterprise technology such as ERP or CRM systems. Learning Management Systems (LMS) is also one such example of enterprise technology in which the incorporation of AI has huge possibilities. The following are some of the must-have features in an AI-based LMS:
In general, one key area where AI is sought to be deployed is in the automation of repetitive tasks. The HR Department has to perform several such tasks during the onboarding process for new employees, ranging from generating offer letters, collecting and maintaining digitized versions of various documents, and so on. If you integrate LMS within your HR Information System, which is highly recommended, you can have the AI features to handle such menial tasks automatically. Besides, it can also assist the Training and Development (T&D) function in the onboarding process of new employees by automated online orientation and preliminary training. Also, the AI may be developed to automatically assign certain basic training modules to different employees depending on their job roles. Thus, a lot of manual work involved in HR Admin can be eliminated through automation.
This feature could be developed to work similarly to intelligent product recommendations on Amazon. On the e-commerce site, on the front page, products that you have previously looked for or might be interested in being showcased. Similarly, an LMS may keep a track of the learner’s activity and throw up training modules or other resources that are similar to the ones in which the learner might seem to have an interest.
The LMS might also be coded to keep a track of the learner’s behavior while taking different modules. For example, if the learner is repeatedly going over certain sections of a module, it could be because he or she is finding it difficult to understand those parts or is specifically interested in those topics. Accordingly, the LMS could recommend other modules revolving around the topics to either aid in resolving any confusion or for the learner to further explore.
Additionally, the delivery of content of different modules could be customized depending on the learner’s interests and other learning patterns. For example, if it is determined that a specific learner takes time to grasp concepts about cost accounting, then that specific module could move at a slower pace than other modules. Also, by the use of features such as Natural Language Processing (NLP), it is possible to deliver the training content in the language preferred by the learner to ensure greater relatability.
Almost every LMS product offers the option to conduct instructor-led training and training via pre-recorded modules which are uploaded into the virtual library. The incorporation of AI can help make the best of both worlds. Learners could pick a virtual avatar or 3D Hologram for their trainer bot, who would then deliver the training content as if delivering in a classroom. This has multiple benefits:
Employees would need to take different modules in a different order depending on:
As such, when it comes to creating a learning path, it is individual that the learning path is customized to suit the specific requirements of individual employees. While this is possible to do so manually, it is very difficult to do so at scale, something which the AI-enabled LMS can do easily.
Consider the example of members within a certain team being trained on a certain skill. Some of them might already have been trained on it academically, some might have had some experience in employing it, while some may be absolute newbies. Accordingly, the LMS could customize the learning paths to introduce some basic level courses on certain topics for the ones who do not have much of an introduction to a specific topic, while leaving them out for the ones who possess a fair bit of background already to avoid making the learning path boring for them.
Even when it comes to gamifying the customized learning paths, AI could prove beneficial. It could enable trainees to compete with each other for skill up-gradation during the training activity despite the different lengths of their learning paths.
There are learners of all types – slow learners with high retention, fast readers who need to go through the content multiple times to compensate for low retention, etc. Therefore, it is essential that the end-of-module testing is also customized to suit the learning style of different learners. Some learners may be administered some basic concept-clarity tests along the way before they are put through the difficult final test which requires the application of all concepts learned during the training. For quick learners, the LMS could skip the concept-clarity tests and directly jump to the final test. Also, depending on the performance in a test, the LMS could pop-up an automated report card highlighting areas of strength and weakness, and accordingly recommend modules to re-take to address the weaknesses.
The GyrusAIM LMS is designed to deliver all the above-mentioned features. Not only does it allow learners to have their development plans, but it also enables the tracking of learner activities and includes pre-built reporting and analytics features for training management. Moreover, the LMS supports 15+ languages, which allows the learners to choose local language preference to increase learning effectiveness. If you wish to adopt an AI-based LMS for your organization, look no further than Gyrus to do the job for you.