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There was a lot of hype at Learning Technologies about AI. But on the whole, the uses of it were still very limited with AI assistants and AI content creation the main things being discussed.
Another takeaway from Learning Technologies was that, just by saying it is AI-powered, does not mean that it will be helpful to you and provide real business value.
As L&D professionals, we should not get tempted into jumping on the bandwagon and just using AI for AI’s sake. We need to identify the problems specific to our business that AI can solve, and look for tools that can do this.
We also need to be aware of the risks involved in some technologies and look at ways to mitigate these before making any bold moves into using AI. Generative AI still hallucinates (i.e. makes stuff up) and is prone to bias to name just a few of the risks.
However, we cannot ignore AI. It is not going away, and we need to be investing time now educating ourselves on it and learning about how it can be used. Even if your business is not ready to adopt it yet, you need to be prepared for when it does.
So to get you started on your AI journey, here are 20 ways that AI can be used in Learning and Development. Some of them are available now, some of them are a little way off. But these and many other uses will be available before too long.
I'm going to start with a big one. Although this isn't available yet, it might not be that far away. Task-based generative AI tools are starting to appear which can plan out and then execute a whole project.
You could ask it to write an L&D strategy for your company. It will then define the steps needed to do this, and work through each step methodically. Along the way, it requests the data it needs including job roles and specs, performance data, and business objectives. This enables it to do a needs analysis, identifying skills gaps and the training methods and resources needed to address them.
Working out a content plan can be a very time-consuming process. Use AI instead to Identify gaps in your content by analysing your content catalogue and then cross-referencing this against your employees' skills.
The AI tool can then create a catalogue of content for you based on the gaps, and even give you a priority order for its creation.
The one that everyone is talking about. Advances in Generative AI tools like ChatGPT have opened up a whole raft of new use cases. One of the biggest is creating content. Text and images for a course can be created in minutes, and it will not be long before videos are added to this list. All you need are some prompting skills to direct the AI model to perform specific tasks. (Plus, lots of checking at the end of course.)
Create some content manually or through AI, and then ask AI to create a quiz for the content. You can define how many multiple choice questions you want, how many answer options are available, and how hard the questions need to be.
Use AI to automatically tag content when bulk uploading it into your LMS. For each piece of content, AI can identify the skills it relates to and even the skill level of the content - be it basic or advanced.
You sign on to a LMS for the first time, and it asks you to enter your skills and the things you are interested in learning. Instead, let the AI do it for you. Based on your job title and experience, it suggests the skills you should have and even your target skill level.
AI has auto-assigned skills to a person. Now we need to set their skill level. Use AI to do this either through creating a quiz or assessment or through uploading their CV. You now have a starting point for skill progression.
Tell the AI what you want to learn, answer a few questions on where you are now and it will create a set of goals for you along with suggested tasks and completion dates. It will even go as far as reminding you to complete your goals and recommending additional content along the way.
Content search that understands you.
Traditional content search (which looks for your search terms in the title and description) often misses the mark. AI can tailor your search results based on previous searches, what others found useful when they made this search, and what it predicts you will be searching for based on your learning journey. The list goes on.
Demand led, in the flow of work learning, drives massive results. Ask the AI bot a question when you need it, and it will scour your learning material to give advice on the task at hand. Say you need to give your manager some news on a project being delayed. You can ask the AI for some help on how best to deliver this.
AI can be used to identify a person's weakness and adapt their learning journey to improve the user's knowledge and skills. As a person completes learning material, the AI adapts their plan based on how well they are doing to maximise their results. So no two people may have the same learning experience; it's ultra personalised just for you.
Advanced, generative AI chat bots are starting to appear; more advanced and conversational than those that came before them. These bots can ask you questions and coach you towards your goals. You can ask them to use a defined coaching model like GROW, or just let the AI go for it. It then guides you through the coaching process in a conversational way, asking questions as it goes.
Get AI to create an assessment based on a piece of content. Describe the assessment you want, and even ask it to create a case study to work from. You can then prompt it to make it easier or harder based on your audience. On completion of the assessments, get AI to grade the output and identify learning opportunities for the participants.
Want to know how many hours per week people are spending on learning, or the most searched-for topics that you haven't covered yet? Ask the AI in conversational language, and it will analyse the data for you before giving you the answer in conversational language. No need to spend hours on complicated spreadsheets.
Maximising the value that we get from content is essential. AI can be used to predict how many people will engage with the content, how much they will learn, and for how long they will retain the knowledge. AI can also suggest ways to improve the content to maximise your results.
Advanced prediction models can analyse data, such as:
The AI model will then recommend personalised content, basing its duration on your availability.
In much the same way that Netflix personalises images for programmes, AI can be used in L&D to personalise content images and even course descriptions. Show a different content thumbnail image based on the learners profile and needs, and maximise engagement.
Use AI to learn and predict the best time to engage with a user.
Personalised notifications and calls to action, both in and outside of an LMS, drive activity and maximise learning engagement. For example, the AI could predict when someone is on a train with some spare time to learn and send them a notification linked to relevant content.
Get AI to predict when a learner will need some learning reinforcement following the completion of a course or piece of content. It can ask them questions at periodic times following the learning, and then work out when they need this reinforcement.
Let AI create learning reinforcement content for a course that can be sent out to users. It can identify the key points from a course, make a course summary, or put together some quiz questions that can then be sent to users at the right time.
These tips will enable you to save time and resources during the L&D process. By getting ahead of the curve when it comes to AI, you'll be better prepared down the line - an essential part of any successful L&D strategy.
Are you looking for an LMS that harnesses AI's capabilities for a seamless learning experience?
We've recently launched Thrive AI: a game-changing suite of AI features to help both learners and administrators alike. Browse our full range of AI features here, or book a demo to find out even more.
Explore what impact Thrive could make for your team and your learners today.
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There was a lot of hype at Learning Technologies about AI. But on the whole, the uses of it were still very limited with AI assistants and AI content creation the main things being discussed.
Another takeaway from Learning Technologies was that, just by saying it is AI-powered, does not mean that it will be helpful to you and provide real business value.
As L&D professionals, we should not get tempted into jumping on the bandwagon and just using AI for AI’s sake. We need to identify the problems specific to our business that AI can solve, and look for tools that can do this.
We also need to be aware of the risks involved in some technologies and look at ways to mitigate these before making any bold moves into using AI. Generative AI still hallucinates (i.e. makes stuff up) and is prone to bias to name just a few of the risks.
However, we cannot ignore AI. It is not going away, and we need to be investing time now educating ourselves on it and learning about how it can be used. Even if your business is not ready to adopt it yet, you need to be prepared for when it does.
So to get you started on your AI journey, here are 20 ways that AI can be used in Learning and Development. Some of them are available now, some of them are a little way off. But these and many other uses will be available before too long.
I'm going to start with a big one. Although this isn't available yet, it might not be that far away. Task-based generative AI tools are starting to appear which can plan out and then execute a whole project.
You could ask it to write an L&D strategy for your company. It will then define the steps needed to do this, and work through each step methodically. Along the way, it requests the data it needs including job roles and specs, performance data, and business objectives. This enables it to do a needs analysis, identifying skills gaps and the training methods and resources needed to address them.
Working out a content plan can be a very time-consuming process. Use AI instead to Identify gaps in your content by analysing your content catalogue and then cross-referencing this against your employees' skills.
The AI tool can then create a catalogue of content for you based on the gaps, and even give you a priority order for its creation.
The one that everyone is talking about. Advances in Generative AI tools like ChatGPT have opened up a whole raft of new use cases. One of the biggest is creating content. Text and images for a course can be created in minutes, and it will not be long before videos are added to this list. All you need are some prompting skills to direct the AI model to perform specific tasks. (Plus, lots of checking at the end of course.)
Create some content manually or through AI, and then ask AI to create a quiz for the content. You can define how many multiple choice questions you want, how many answer options are available, and how hard the questions need to be.
Use AI to automatically tag content when bulk uploading it into your LMS. For each piece of content, AI can identify the skills it relates to and even the skill level of the content - be it basic or advanced.
You sign on to a LMS for the first time, and it asks you to enter your skills and the things you are interested in learning. Instead, let the AI do it for you. Based on your job title and experience, it suggests the skills you should have and even your target skill level.
AI has auto-assigned skills to a person. Now we need to set their skill level. Use AI to do this either through creating a quiz or assessment or through uploading their CV. You now have a starting point for skill progression.
Tell the AI what you want to learn, answer a few questions on where you are now and it will create a set of goals for you along with suggested tasks and completion dates. It will even go as far as reminding you to complete your goals and recommending additional content along the way.
Content search that understands you.
Traditional content search (which looks for your search terms in the title and description) often misses the mark. AI can tailor your search results based on previous searches, what others found useful when they made this search, and what it predicts you will be searching for based on your learning journey. The list goes on.
Demand led, in the flow of work learning, drives massive results. Ask the AI bot a question when you need it, and it will scour your learning material to give advice on the task at hand. Say you need to give your manager some news on a project being delayed. You can ask the AI for some help on how best to deliver this.
AI can be used to identify a person's weakness and adapt their learning journey to improve the user's knowledge and skills. As a person completes learning material, the AI adapts their plan based on how well they are doing to maximise their results. So no two people may have the same learning experience; it's ultra personalised just for you.
Advanced, generative AI chat bots are starting to appear; more advanced and conversational than those that came before them. These bots can ask you questions and coach you towards your goals. You can ask them to use a defined coaching model like GROW, or just let the AI go for it. It then guides you through the coaching process in a conversational way, asking questions as it goes.
Get AI to create an assessment based on a piece of content. Describe the assessment you want, and even ask it to create a case study to work from. You can then prompt it to make it easier or harder based on your audience. On completion of the assessments, get AI to grade the output and identify learning opportunities for the participants.
Want to know how many hours per week people are spending on learning, or the most searched-for topics that you haven't covered yet? Ask the AI in conversational language, and it will analyse the data for you before giving you the answer in conversational language. No need to spend hours on complicated spreadsheets.
Maximising the value that we get from content is essential. AI can be used to predict how many people will engage with the content, how much they will learn, and for how long they will retain the knowledge. AI can also suggest ways to improve the content to maximise your results.
Advanced prediction models can analyse data, such as:
The AI model will then recommend personalised content, basing its duration on your availability.
In much the same way that Netflix personalises images for programmes, AI can be used in L&D to personalise content images and even course descriptions. Show a different content thumbnail image based on the learners profile and needs, and maximise engagement.
Use AI to learn and predict the best time to engage with a user.
Personalised notifications and calls to action, both in and outside of an LMS, drive activity and maximise learning engagement. For example, the AI could predict when someone is on a train with some spare time to learn and send them a notification linked to relevant content.
Get AI to predict when a learner will need some learning reinforcement following the completion of a course or piece of content. It can ask them questions at periodic times following the learning, and then work out when they need this reinforcement.
Let AI create learning reinforcement content for a course that can be sent out to users. It can identify the key points from a course, make a course summary, or put together some quiz questions that can then be sent to users at the right time.
These tips will enable you to save time and resources during the L&D process. By getting ahead of the curve when it comes to AI, you'll be better prepared down the line - an essential part of any successful L&D strategy.
Are you looking for an LMS that harnesses AI's capabilities for a seamless learning experience?
We've recently launched Thrive AI: a game-changing suite of AI features to help both learners and administrators alike. Browse our full range of AI features here, or book a demo to find out even more.
Explore what impact Thrive could make for your team and your learners today.
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