2 Nov 2023

How AI is supercharging Learning & Development

by Richard Coates, Co-founder

Employee training has entered a new realm with the integration of AI in learning technologies; expanding what is possible, elevating the benefits of technology-delivered training, and enhancing the learner experience. We detail some of the benefits it offers below:

Personalised learning experiences.

L&D practitioners can very quickly develop personalised learning courses and programmes that can be tailored to the needs of each team or individual. For example, depending on how the learner engages and responds to interactive training (for example, formative and summative assessment through the course, such as quizzes), the content presented may vary, adapting accordingly to address areas requiring more training, leading to better engagement and learning.


This is very different to traditional eLearning, which tends to follow a linear progression and is much less effective. 

Identifying learning gaps and closing them.

Addressing skill gaps is one of the top priorities for L&D practitioners in order to improve employee performance.

Ascertaining knowledge gaps manually without AI can be a much more resource-intensive and drawn-out exercise, and potentially much less accurate. Conversely, with AI-integrated learning platforms, skills gaps can be identified much faster and addressed much more efficiently.

Addressing learning preferences.

With the flexibility enabled through AI, content can be selected and presented to best suit different learners (and their differing needs) and different learning preferences. 

This is based on how they perform in different training formats and the learning outcomes achieved.

Targeted suggested content.

Much like the Amazon e-commerce format whereby suggested items you may like to buy are shown based on past shopping habits, AI can do similar in a learning environment.  

With AI, there is the ability to provide highly relevant content suggestions, as well as give recommendations. This can be based on profile criteria, such as an employee’s job title, core duties, interests, and, of course, the content they’ve already engaged with and content that would serve to plug knowledge gaps.

Learner autonomy.

Following on from the above, with the ability to present more relevant and more personalised training content comes increased learner autonomy - and potentially freeing up R&D practitioners’ time by reducing the need to prescribe courses.

This will in turn promote self-directed learning, allowing the individual to be more empowered. 

Support learners proactively.

As AI-powered technology gathers more user data and is fed more content it continuously evolves, becoming increasingly better at spotting patterns in activity (with both content and the performance of the learner).

Subsequently, with AI, learner profiles can be created providing data-informed training programmes that are more likely to have the desired learning outcome.  

Increasing productivity.

AI improves the overall efficacy of learning programmes, increasing course completion duration and rates. As learning content is targeted, knowledge acquisition is often greater, can upskilling employees better and quicker, and improve their productivity.  

Immediate feedback.

AI tools can mark, measure and evaluate learners’ performance, aiding with reporting and learner insights and returning feedback more quickly.

Improve User Experience (UX).

From a very practical point of view, AI can make learning content easier to find, can simplify technology-based workflows, and make the learning experience a more enjoyable one (for example, by not presenting irrelevant content or duplicating training where learning outcomes have been achieved).

Modify learner behaviour.

As AI enables learning technology platforms to fast-track training, learners can more effectively complete courses, providing the individual with a sense of achievement and encouraging future use of the platform.

It can also mean that training content need not be as long and repetitive, and so bite-sized learning is better supported, helping to encourage learning and knowledge building on a more regular basis. 

BentoBot AI.

Our own learning platform, draws upon AI as part of a hybrid technology suite to provide a new-age, bite-sized, multi-modal platform that can be used anywhere and anytime.

If you'd like to discuss how it could help you then drop me a message: [email protected]