Artificial intelligence is creating a buzz about the future of teaching and learning. AI has been part of several e-learning platforms for some time – examples being Duolingo and Carnegie Learning. Artificial intelligence helps the student to learn more effectively and with less stress. Tailored learning, course recommendation, automated grading, etc. are some of the uses of AI in e-learning.
As of now, the full potential of AI has not yet been exploited. However, there is no doubt that it will become better and more accessible, with several applications for e-learning, and learning management system software.
Here are some ways in which Artificial Intelligence is Impacting LMS solutions:
Immersive Environments and Scenarios for more Effective Learning
Scenarios can help learners to grasp the situation easily and learn better, but they can be difficult for trainers to create. The greater the number of options, the more the scenario progresses – and this can become cumbersome for trainers to write. But with AI in the picture, we are seeing generation of dynamic responses inside the scenario – rather than a planned, rigid script. AI considers several factors and creates realistic environments; this helps both learners and trainers. For examples, if the learner takes a long time to respond or a particular scenario takes the learner back to a choice entered previously, the LMS could ‘learn and remember’ the answers, resulting in different options in the future.
Personalized Training Sessions
Within an LMs software, trainers can create lessons that they can share innumerably – which leaves them with more free time to crafting more course content, interact with learners, and even market their courses. Automatic delivery of content to several trainees simultaneously, while beneficial to trainers, can cause slower learners to be left behind as they are less likely to receive personal attention. AI can be configured to identify slow learners, and to provide recommendations on assisting them. It is quite possible that in the near future, chat bots may be used to teach language through live chat. A digital teacher, much like digital personal assistants (Siri, Alexa, etc.), if you will.
Repetitive tasks like sending emails, correcting tests with multiple choice questions, are now automated by using workflows that are pre-programmed, and setting test answers. As of now, subjective papers not yet be graded by AI as there are several variables involved and it is too complex; however, it may become possible in the future. The learning management system can be configured to collect information from the internet for specific questions, and then compare the answers with the answers written by learners.
Targeted Marketing, Less Intrusively
Today, businesses collect more information than they use, and end up sending generic messages that are likely to appeal to the majority. However, if the AI itself is better, more intelligent, businesses will be able to convey customized messages, advertisements and marketing content to targeted audiences.
More efficient AI will collect only the information that is necessary and relevant; this could mean no longer accessing all your social information, for example, not showing you ads of products that you are least likely to purchase.
To Sum Up
AI in e-learning and LMS solutions provides several benefits; it makes learning more accessible, and promotes learning at the user’s pace. AI-powered LMS software will be able to answer student queries, suggest resources (texts, videos, webinars), draw up bespoke curriculums and grade assigned projects. AI will also be able to recognize learners most likely to abandon the course, and offer support to such learners. In short, artificial intelligence can help learners to get the most out of a particular lesson or course.