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How you as a research or educational institution can optimize your research projects, use innovative technologies and increase your attractiveness to students

Only about 59% of students say that they are satisfied with the professional and practical relevance of their studies.

Reasons for insufficient cutting-edge research and declining attractiveness of studies
Monotonous teaching methods
Lack of practical relevance
Backward research results

One-sided lecture formats without interaction or variety can quickly become boring. Lecturers who only give lectures and do not include discussions, group work or practical examples often lose the attention of the students.

Theoretical content that has no clear connection to practice often seems abstract and irrelevant. Students who do not see how what they have learned can be applied in the real world lose interest.

Outdated technologies, inefficient data analysis methods and lack of integration of new technologies affect the quality and efficiency of research results.

How you can sustainably improve your teaching step by step:

1

Conducting a workshop with the software and the EEG cap to learn in detail how to train and apply AI models effectively

2

Conducting experiments to test and validate their functionality and usefulness in the respective application case

Practical examples for your teaching
smiley

moments of surprise

Analyze whether advertising films have surprise effects

Detect accidents and unknown dangers before they happen

Warning

Attention

You can monitor attention during work and detect signs of fatigue early

By recording brain activity, you can detect and investigate accidents and unknown dangers at an early stage

Direction

Movement over Thoughts

Your students can use their thoughts to train robot arms to perform certain actions

Application examples for your students for tutorials and theses

Your students can explore how prostheses or wheelchairs can be moved and controlled

Analyze emotions on a website to identify purchasing decisions

Analyze taste and smells to investigate whether certain products are more likely to be purchased when the smell in the building is adjusted

development team
Mavin Heim
Mavin Heim

Chief Technical Officer

Alexander Szameitat
Alexander Szameitat

Head of AI in Neuroscience

Fran Nunzez
Fran Nunez

Head of Cognitive Science

Fabian Steinbeck
Dr. Fabian Steinbeck

Senior Neuroscientist

Michael Hueppe
Michael Hüppe

Software Development

Sebastian Krafft
Sebastian Krafft

Development Assistant

With snap I have found a research-oriented and innovative collaboration partner. The team is competent, reliable and enables a very trusting cooperation.


Prof. Dr. Uwe Kersting Institute for Biomechanics and Orthopaedics, German Sport University Cologne
references
HSHL
Rhine-Waal University of Applied Sciences
University of Health
Ruhr University Bochum
PROLAB

contact

Find out more about the optimization potential in your research and teaching.

Sinah Dittmann

Danke für Ihre Nachricht!

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