e-learning didactics:
Tips for designing digital training courses
23-03-24 | 8 minutes reading time
Tips for designing digital training courses
23-03-24 | 8 minutes reading time

Dr. Kim Füllenbach
Project lead
Successful e-learning didactics are based on systematic planning, the knowledge acquisition model, and clear concepts. With the right target group analysis, measurable learning objectives, and the 6 expert tips for creating easy-to-understand content, you can develop trainings that you know will work.
didactics is "the science of teaching and learning in theory and practice". This sounds a little vague at first and covers many subject areas. In this article, we focus on the conception and creation of digital learning content and give you practical tips on how to create didactically valuable learning content.
Before content is created, the e-learning project should be well planned. Only a professionally set up project will be successful. First of all, all those involved in the project, such as L&D or HR, technical experts, project management, training authors and IT, should be brought on board. The following needs to be clarified initially: What are the overarching goals of the e-learning project and what are the specific training needs? What is the learning strategy? How will the learning content be made available? Only when this framework is in place can the conception begin.
As the basis for a didactically meaningful e-learning concept, we are guided by the "model of knowledge acquisition". This reflects how people learn.

What is the knowledge acquisition model?
According to the knowledge acquisition model, learning can be divided into four phases:
The learning format matrix: The right learning format for each learning phase
Certain training methods and suitable learning formats are particularly suitable for each of these phases. For example, a blended learning scenario can start with an explainer video as a teaser to create acceptance for the topic. Knowledge can then be built up in a targeted manner using didactic combinations of small learning units (learning nuggets). This knowledge can then be applied and deepened through interactions or a quiz app. And recap formats or on-the-job tutorials, for example, are ideal for knowledge transfer.
As a second dimension alongside the phases, we look at the training content. These can be divided into six different types: Regulatory, Process/Software, Technical, Product, Skill/Behavior, Change/Transformation. We have developed a topic/module matrix in which we compare the learning phases from the knowledge acquisition model with these six types of training. Depending on the training content and learning objectives, there are different areas in the matrix for which we derive recommendations regarding suitable training methods.

When designing digital learning units, a rough concept is developed first, followed by a detailed concept. The rough concept consists of the target group, the learning objectives and the structure tree, i.e. the structure of the training. AI can provide good support, particularly in generating learning objectives, but also in creating the structure tree, and help to ensure that the content is well tailored to the needs of the learners.
How do I analyze my target group?
In addition to the learning objectives, analyzing and defining the learners well is the most important prerequisite for a didactically valuable learning measure. When developing learning content, it is particularly important to take the perspective of the target group. One would think that technically competent people in particular would be best placed to explain things. However, the exact opposite is often the case: experts are often stuck in the so-called "curse of knowledge". It is very difficult for a well-informed person to put themselves in the shoes of someone who does not have the same level of knowledge. As a result, experts often explain things at a level that is incomprehensible to the layperson - and don't even realize it. In this respect, the first step towards simple explanations is to realize that in many cases your own level of knowledge does not correspond to that of the other person.
How do I set measurable learning objectives?
The second step of the rough concept is to define the learning objectives. A practical method of developing and structuring learning objectives is to divide them into directional, broad and detailed learning objectives. Indicative learning objectives describe the overarching training objective and are then subdivided into broad and detailed learning objectives. Rough learning objectives already specify the skills and knowledge that are to be taught. The next step is to develop detailed learning objectives for each broad learning objective, which are formulated as skills and activities and must be measurable. After all, corporate learning should ultimately deliver reliable results.
An example:
Bloom's taxonomy for learning objectives
One tool that helps with the formulation of learning objectives is the Learning objective taxonomy according to Bloom.

It is particularly helpful for formulating detailed learning objectives in such concrete terms that they can also be checked at the end. First of all, the detailed learning objectives are assigned to a cognitive category: remember, understand, apply, analyze, evaluate or create. Depending on the category, certain verbs then help to formulate suitable detailed learning objectives. The first level of the taxonomy is "remember". A suitable learning objective for this could be: "Learners can list all four criteria for a secure password".
The learning objective matrix
In practice, it is advisable to set up a simple learning objective matrix for orientation. This could look like this, for example:

At the end, the completed matrix shows measurable learning objectives corresponding to the taxonomy levels and provides ideas for checking them in the form of interactions.

Once the learning objectives have been defined, the next step is to shape them with the help of the structure tree. The structure tree represents the basic framework of the training concept as concisely as possible and is very helpful for coordination with the project team. A tried and tested procedure is to turn the broad learning objectives into individual chapters - this gives you a clear focus in terms of content. The detailed learning objectives can be used within the chapters to monitor learning success, i.e. they can be checked in the form of interactions.
On the one hand, the rough concept is a helpful tool to give all stakeholders of the e-learning project a uniform picture of the training concept. At the same time, it is also an important basis for a didactically sensibly structured training course.
Once the basic concept has been agreed on, the detailed concept follows. This collects all the content and records which interaction options are available. Texts are formulated in this step and images, illustrations, slide designs, etc. are created - this results in the storyboard (or script).
So much for the duty, now comes the practical part: How do you create didactic learning content and thus ensure lasting learning success?
How can AI help with the creation of learning content?
Remember: AI can make a valuable contribution to the creation of learning objectives, the training structure and the design of specific content (both texts and images), whether as a sparring partner for your own ideas or as a self-sufficient "service provider".
It is even easier if you use an AI tool. The youknow Authoring Tool knowtion, for example, creates entire training courses at the touch of a button by fully automating the individual steps with the help of AI (if you want it to). This allows e-learning beginners to create high-quality didactic learning content without much prior knowledge.
From concept to implementation: these scientifically proven techniques ensure long-term learning success.
As already mentioned, it is essential to know the target group well and to analyze it in detail. The prior knowledge level plays a particularly important role here. The why-how diagram serves as an aid to categorize the target group. The less prior knowledge the target group has, the more time should be devoted to the "Why?". The learners must first understand WHY they should learn something specific, i.e. what added value it has for them. Only when the target group includes experts should more time be devoted to the "how".

The next keyword is "key messages ". The why-how diagram also helps to find out what the key messages are for the target group and to condense the content to what is relevant. Because less is often more.
"Keep it simple stupid" – this applies above all to language, as it is one of the most important tools for creating comprehensibility. The following tips will help you to formulate comprehensible learning content:
You can find even more tips on how to explain complex things simply in this blog post: Read post now
Storytelling is a helpful way of packaging learning content in such a way that learners really absorb it and remember it for a long time. Facts are just as important for giving the content substance, but only a story makes facts tangible. And: Stories stay in the mind There are various studies that always come to the same conclusion, such as this one: If you communicate bare facts, 5% of people still remember specific content after 10 minutes. If these facts are packaged in a story, the figure is 75% - i.e. 15 times more. You can find specific tips on the use of storytelling in this article: Storytelling tips
Our brain has always been programmed to learn with images. In contrast to language, we process images largely automatically - which saves time and energy. In addition, images have a direct effect: they speak directly to the visual centers of our brain and do not have to be decoded like text. And last but not least, we remember content better when it is visually supported. The following tips will help you to visualize digital training in a didactic way:
Only learning that is fun will catch users. The integration of playful elements increases the motivation and engagement of learners.
Proven gamification elements:
Last but not least: Make sure that accessibility is always taken into account when producing learning content. The Web Content Accessibility Guidelines (WCAG) provide good guidance here. Accessibility enables all learners to access knowledge and not only increases the acceptance and handling of training, but also the attractiveness of an employer
Video series: Small bites of knowledge
These tools provide an overview of what is important when creating didactically valuable training courses. You can find even more practical tips and tools in our video series "Small bites of knowledge". There you will also find compact handouts on each topic.


Dr. Kim Füllenbach

Annalena Moritz
Account Manager
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