Adaptive learning: data-driven learning

Rinke Huisman

Why do we keep looking for more online solutions for learning? One answer to this question is that we know our ‘one size fits all’ strategy is now obsolete. It has become more normal to be approached in a personal way, as even our own supermarket knows what we want to have in our cart next week. Countless data is collected every single day, and whether this oversteps any privacy boundaries, we will not discuss right now. However, if it is about effectively combatting a disease, or learning at your level and your own way, it is pleasant to get a selection that is tailored to your wants and needs.

 

Adaptive learning

Adaptive literally means ‘adjusting to.’ Adaptive learning goes one step beyond differentiated learning, or personalised learning, as it is based on real-time data and it happens in an online environment. How often do you rewatch a video? Which questions do you answer correctly during a test? Which other topics do you click on?  Based on all this collected data, you will receive a selection of material that suits your needs perfectly. The adaptive software that is incorporated in the Hubper platform therefore measures what you already master, and what needs more attention. This is how you not only learn what you do not yet know, but also what suits you, in a way that you find pleasant.

 

How does this work in practice?

Users answer questions about the learning material, which can be done at the start, during, or after the course. The answers show whether the users actually understand the material, and the adaptive software will then decide the level of the learning activities and if they need the complex or the simple assignments. This is how each user completes the learning material in their own time and on their own level. The learning style also automatically adapts to the preferences of the user, which means that you have to develop the learning material on multiple levels, as well as think of the different learning formats. It might be quite a lot of work at the beginning, but it definitely pays off, because you will end up with an ideal learning solution that brings different employees of an organisation to the same level of knowledge. You can then decide to, for example, group all the people from the same level together to start the in-class part of the training. 

 

An example of smart software is Hubper’s Brainpower, which is a smart knowledge app. You can measure and train your knowledge by answering questions, and Brainpower’s algorithm will then adapt itself to your skill level. This speeds up the learning process, which causes you to register and remember new information more effectively. 

 

Besides answering questions about the learning material, there are other analytics that are being measured and analysed. An example is how many times a user logs in and stays online, and with this data the system can send reminder or motivational notifications to the user. All of this can be fully designed to the preferences of the user.

 

Listed benefits

If you decide to use adaptive learning, you can count on the following benefits:

  • The knowledge will stick easier, as it will be offered to the employee at the right moment and the right level. 
  • It motivates: the employee does not make too many or too little mistakes, they learn in the zone of proximal development and are at their happiest here. 
  • Relevant feedback: the employee will not receive general feedback, but rather feedback that really applies to them personally and they can learn more from.
  • More insight for the manager: the manager and/or developer receive more specific data about the learning material. This will give them insight into their target group, the learning preferences, the level, and the results. 

 

Do you want to introduce adaptive learning within your own organisation? Hubper has multiple ways to do so in the learning platform. Request a free demo to discuss the possibilities!