AI for knowledge. Humans for meaning.

Quality and verification.

Learning needs trust. This trust comes from quality, transparency and traceability. We ensure quality throughout the entire learning process. Content, formats and systems are verifiable. Decisions are documented.

The levels of quality assurance
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How we understand quality

Quality is not a control instrument. It is part of the learning architecture.

Clear criteria

We define what good learning quality means. Objectives, content and methods are clearly described.

Transparent processes

Testing, approval and further development follow clear processes. Decisions are documented.

Ongoing review

Quality is not tested once. It is continuously assured and improved.

The levels of quality assurance

Quality works on several levels. They all interlock.

Content quality

Learning objectives, content and tasks are technically correct and didactically sensible.

Didactic quality

Formats, methods and learning logic support sustainable learning and transfer.

Systemic quality

Processes, roles and systems ensure that quality is maintained at all times.

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Learning architecture and operation

Why verification is key

The more digital learning becomes, the more important traceability becomes.

Initial situation

Organizations must be able to show how learning content was created. Trust alone is not enough, especially with AI-generated content. Verification creates security. Internally and externally.

When this solution fits

This solution is the right one if quality is to be systematically assured.

  • You work with digital or AI-supported learning formats
  • You must demonstrate quality and impact
  • They are subject to regulatory requirements
  • You want to pass internal and external examinations
  • You want to scale quality without losing control

What you receive

You receive a quality system that is integrated into your learning architecture.

  • Quality criteria for content and formats
  • Testing and approval processes
  • Documentation and versioning
  • Roles and responsibilities
  • Connection to ISO 9001 and eduQua
  • Basis for audit and review

Educational vision 2050

Vision

AI for knowledge. Humans for meaning. Find out more about our vision of how we see education in 2050.

About the bio-educational vision

How quality fits into your learning ecosystem

Quality combines strategy, architecture and AI.

 

Consulting & Strategy

Learning architecture & operation

AI-supported learning

Content & Studio Services

Shape the quality of learning with us. 

We will clarify your needs and get to know each other in an orientation meeting.

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