Learning.2025 - Building skills with suitable methods in digital learning spaces

Whether further education, coaching, training - the Requirements for learning spaces are developing due to new technologies and trends in the labor market. In addition to the use of different technologies as tools, learning will increasingly take place in digital spaces. This requires special Use of methodsnot every methodology that works in presence can be adequately translated into virtual spaces (vice versa).

For lecturers from various IHK disciplines, we have developed a Workshop and discussed Learning2025. Key Findings were: 

1. Digitization is not an end in itself - but a specific means of promoting learning objectives / skills development.
2. Depending on the learning objective and the type of competence, different methods are required in the virtual space (e.g. the ABC method for securing knowledge).
3. The technologies (including those behind the virtual spaces) determine what is methodically possible and what should be integrated (including the use of artificial intelligence).

In addition, we have also Use of technology in traditional training courses which we believe will increase - for example:

• Online and blended learning programs that combine digital and face-to-face learning.
• Massive Open Online Courses (MOOCs), online courses that are open to anyone to learn new skills or discover new topics.
• Use of virtual and augmented reality to create immersive learning experiences and the ability to "visit" places or conduct experiments that would otherwise be impossible.
• Use of artificial intelligence and machine learning.

For the last one we would like to offer you a Example give. In the Open AI platform, we had the following question answered via chat gpt (i.e. an A.I.): "What is digital learning?" The answer:

Digital learning is a form of education delivered via electronic means, such as the internet, mobile devices and computers. It can include a variety of elements, including:

1. Online course materials, such as readings, videos and exams
2. Virtual classrooms in which people and trainers can interact in real time via video conferencing
3. Collaborative tools such as forums, wikis and group project areas
4. Adaptive learning systems that use algorithms to adjust the difficulty and content of course materials based on participant performance
5. Gamification, where game elements such as points, badges and leaderboards are used to motivate and engage participants
6. Virtual laboratories and simulations that enable participants to experiment and learn in a simulated environment.

Digital learning can also integrate elements of traditional face-to-face education, such as instructor-led lectures and discussions, and graded assignments and exams.

As you can see, the A.I. gives us answers in the area of specialist skills - now we should discuss which ones. Types of competence still need to be taught? The handling of the A.I., for example (this is how we thanked for creating the answer), the acquisition of meta-competencies (the knowledge of how the answers of the A.I. were created), methodological competence (skills in dealing with data sets - which data do we want to collect / analyze / evaluate and how) ...

We are excited to see how learning (further education, training, coaching) will develop in the coming years and are looking forward to this. Developments with the Innovation Center for Industry 4.0 actively shape the future.