The best thing about learning analytics is that it sheds light into issues surrounding learning usually hidden from the naked eye. That is, it provides ways to peek into the details of the learning process. More importantly, analytics provides new ground for evidence-based learning interventions without taking away the need for a skilled educator but instead highlights the importance of pedagogical expertise.

Education is largely different from many other fields, which have been revolutionised by data. As it is largely related to human interaction, decision making will remain in the hands of skilled educators. Learning analytics do not offer fixes. Instead, using it provides an effective way of improving educational programs and making effective interventions. And the impact of analytics is directly linked with the quality of analytics that you have access to. So, if you are about to invest into a new learning environment that promises analytics, or you already receive analytical views into the training process, let’s ask some critical questions on what matters most in learning analytics.


Can I increase the engagement on my course?

The most crucial problem in online learning relates to the frustration when facing ambiguous challenges and getting stuck. Too often this is caused by a confusing or unsuitable learning passage that can hamper even the best course.

In order to take corrective action, learning analytics should provide a way of highlighting the sections of a course, which are challenging. On the other hand, analytics should also show which parts work and create engagement.

Additionally, you should be able to identify the challenges faced by the whole learner population or just or particular groups of learners. Thanks to automatic keywording of materials using natural language processing, in addition to single materials, you should have the option of viewing this at a topic level. For example, which of the central themes in a course are problematic.

So, after setting the initial question and goal, in this case, engagement, learning analytics can highlight the sections in need of a fix and what works already. This offers the basis for identifying the target of improvements and measuring the effects afterward. However, no technology does or will do the actual work of designing appropriate learning activities. But with the support of analytics, the content iteration will be more successful.


Can I personalize my course for different kinds of learners?

Learners are different. They have varying amounts of experience, different strengths, and diverse interests. Some might find your course too easy while others are struggling. Just how different are they and where they differ is up for the learning analytics to reveal.

Learning analytics should be designed to identify groups of participants or individuals with specific needs or challenges. As the analytics can identify distinctions in behavioral patterns, you can focus on how these relate to performance, quality of social interaction and background variables, such as professional role in a company.

Once you have been able to identify the differences between learners, you can provide tailored paths based on their interests and background. For example, by offering background information for those with less experience in a topic, or alternatively more advanced information for those that need more challenge.

You should be able to intertwine groups from two different backgrounds by first providing a path for each to prepare them for the subject,  and then offer a shared part where they can share their knowledge. Imagine, all this with the help of effective learning analytics using your existing materials.


Can I see whether my training programs increase work effectiveness?

Whether you work in a company offering training programs or responsible for courses inside an organization, the holy grail is showing the real impact of training. That is, how does the actual performance change as a result of training.

An example of an industry transformed by data is finance, an area that naturally lends itself well to smart technologies. It has clear metrics and outcomes. As a result, algorithms which optimise the desirable outcomes can do their magic. Learning, on the other hand, is another story.

In a learning process, the affecting factors, nature of the information or collected data, and even the results are not easily defined. However, this is slowly changing as more developed technologies, such as natural language processing can make sense of sets of unstructured data.

However, combining learning data with performance indicators it is possible to reveal what kind of impact the training programs are producing. These outcome metrics can include customer service, sales or other measurable results. For education providers, the possibility to finally show what they can deliver through their training programs is now within their reach and will soon distinguish the best in the business.


Arm yourself with goal-oriented analytics

When we started our journey in developing Claned, we wanted to invent the new standard for learning analytics and how it provides the ability to support successful training programs. In order to do this, we had to create the best learning analytics in the business. And we did, and it is now available to enhance training programs anywhere. We believe the investment into learning platforms should contain a clear view into ROI, for example, through the number of drop-out rates, improved learning results, employee satisfaction, and improved sales.

We believe the use of learning analytics should relate to your training goals from the start.

That is why, in Claned, we focus on two main ways of using learning analytics to help education providers. Our learning platform holds inbuilt analytics for real-time follow-up on an education program level. These you will have for any course implemented in the platform. Secondly, we offer tailored data consultation services to answer specific challenges. Evidence-based decisions and personalization according to gathered analytics can significantly help you improve the experience for your learners.

If you want to hear more about how we can help you to achieve new heights of success for your training programs, get in touch and we tell you more.

Topi Litmanen

Dr Topi Litmanen works as a Chief Educational Scientist in Claned Group. He is responsible for ensuring, that the pedagogical aspects of the Claned are based on latest learning research. Topi makes sure that Claned customers get the needed support for meeting their digital learning needs.

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