In our last AI Compass online session, AI expert Holger Gelhausen presented his perspective on the future of learning with artificial intelligence. For anyone who missed this session, here is a summary of the most important findings. This was generated via Perplexity using Claude 3.5 Sonnet, after uploading the audio transcript and the anonymized chat contributions.
AI-supported learning platforms
Holger demonstrated how modern AI systems can change the learning process. With the help of tools such as Airtable and make.com, he showed how to create personalized learning environments that can be adapted to the individual needs of each person – if you know how to do it.
Automation of the learning process
A central aspect of Holger’s presentation was the automation of learning workflows. He explained how AI workflows make it possible to analyze and prepare learning content from various sources and transform it into customized learning plans. Remarkable was the demonstration of how interactive learning prompts can be generated from YouTube videos to help you reflect more deeply on the content shown.
Personalization of learning
Holger emphasized the ability of AI not only to personalize learning content, but also to continuously adapt it to the learner’s progress. In an interactive exchange with the tools, everyone can generate their own personal learning setting. It’s not entirely trivial and you have to learn this tool, but then you can work with it in an adapted way. This enables a new level of efficiency in the learning process, if you want to.
Creativity as a key factor
One inspiring aspect was Holger’s statement:
With these low-code applications that anyone can learn, the only limit to infinite learning today is your own creativity.
He encouraged the participants to make full use of the possibilities offered by AI tools and to develop personalized, innovative learning methods.
Ethical considerations and challenges
Despite the enthusiasm, critical aspects were also discussed. The participants reflected on possible ethical implications and the need to find a balance between AI-supported and traditional learning:
Are technological developments and the wide range of opportunities widening the gap between (supposedly) educationally disadvantaged and advantaged people? Or is there not also considerable potential here?
Outlook for the future
With the impressive demo, Holger gave an outlook on a future of learning in which AI could play a central role – for all those who want to become independent of formalized educational offers. He sees potential for the democratization of education and the ability to grasp complex topics more efficiently.
Discussion and questions from the participants
Various aspects were discussed in greater depth in the subsequent exchange:
- The role of the ever-growing range of content in an AI-supported learning environment and concentrated learning in abundance
- The limits of AI-supported learning and the importance of self-directed learning
- Applicability in different learning contexts, from academic environments to practical, real-life learning
- The potential impact on formal educational institutions
Summary
The inspiring session with Holger Gelhausen offered insights into the possibilities offered by AI in education. It showed how the use of technology can reshape learning and give everyone access to personalized, effective learning methods.
For all those who want to delve deeper into the subject: Holger offers workshops in which he teaches the techniques shown in detail. You can find more information on his website KI-Insights.
The session made it clear that the future of learning is developing rapidly – and offers promising opportunities for the design of individual learning processes.