Artificial Intellegence in Elearning

Designing Digitally


Artificial Intellegence in Elearning

Artificial intelligence (AI) involves designing intelligent software that makes choices based on its environmental analysis. As AI becomes mainstream, it is only natural that it will have a role to play in the future of eLearning. 

For example, AI can be used in a quiz program at the end of a topic to decide which questions a learner should be asked based on his previous responses. Alternatively, you could use it to gauge the specific areas of improvement needed for each learner and ask questions on those areas. It can also automate the content search process for developers. 

Say you’re a developer, and your client wants to present information in several formats – through a video, chat, quiz, and infographic. You could spend hours tracking all the places for the content and reuse it. Or, you could use an AI-based tool to filter the massive amount of information and identify the relevant content. Automating the process via AI saves time and enhances the consistency and quality of the content.

Several technological giants offer AI tools, such as Microsoft Azure, a cloud-based set of services to build and manage AI applications, or Amazon Web Services, which provides various AI services and products. IBM’s Watson also offers AI services that you can integrate into your applications.

Let’s review the ways the use of AI will affect the eLearning landscape in the future.

#1: Learner Profiling

You can use AI to analyze your learner’s strengths and weaknesses and cluster them. Then, you can provide training material and tests based on the data. AI allows you to employ strategies that connect to your learners emotionally by playing into traits like competitiveness. The information collected also provides a deeper insight into learner abilities and aptitude for a specific job role. When you combine an AI tool with the organization’s ERP and L&D platform, you may even be able to track your employees from pre-employment assessment to induction to their daily performance.

#2: Natural Language Processing

Learners can interact with AI assistants that recognize their spoken language. When the learner talks to the eLearning platform, the AI-enabled system can understand its connotations. They are also able to comprehend their pronunciation, sound variations, and much more.

#3: Chatbots

AI-enabled chatbots are common nowadays. Chatbots can be used in eLearning to direct learners to a relevant course that they have not taken. It can point out any gaps in training. If the learners are required to take mandatory training but have forgotten about it, the bots can remind them. Chatbots are also a great tool to reinforce a skill. They can send messages to the learners, reminding them about a skill they have learned and prompt them to apply it. 

#4: Auto Content Creation

Creating content requires the writer to have a deep understanding of the subject, so AI algorithms cannot replace it. You still need a knowledgeable content specialist for the job. AI can create a large sample from a pool of curated content. For example, AI can make test questions for specific domains such as K12 math and language. 

Our world is changing at a rapid pace, and AI may not be the golden solution. It will take time to become widely implemented in the eLearning industry, but the possibilities are endless.

At Designing Digitally, our team of expert instructional designers creates custom eLearning designed explicitly for your learning objectives. Our courses ensure strong retention of information and provide innovative ways to change learner behaviors.

Talk with our experts today to learn the best ways AI could be integrated into your training. 

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Please note this article was updated by our team on 03/16/2021.