Gehirn mit einer organischen und einer technischen Seite

KI-Werkstatt Lehre

On October 27 the kick-off event for a new round table format for lecturers that deals with the implementation of AI in university courses.
Gehirn mit einer organischen und einer technischen Seite
Image: Seanbatty from Pixabay
Overview
This event is in the past.
Event details
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Start
End
Type of event
Workshop
Venue
Accouchierhaus
Jenaergasse 8, Seminarraum
07743 Jena
Google Maps site planExternal link
Organizer
Thüringer Hochschulinitiative für KI in der Hochschullehre (THInKI)
Data Literacy Jena (DaLiJe)
Language of the event
German
Event website
Learn moreExternal linkde
Wheelchair access
No
Public
Yes
Registration required
Yes

About the format "KI-Werkstatt Lehre"

Methods from the field of artificial intelligence, especially machine learning, are making their way into more and more aspects of our lives, whether in science, business, or private life. As a result, a fundamental understanding of the underlying methods, basic competencies in the application of AI and the critical evaluation of results (AI literacy) are important qualifications for university graduates in all fields of study. This applies not only to the currently much-discussed generative AI systems (e.g., ChatGPT) but also to applications that can be used in various research fields (e.g., natural language processing, automatic image analysis).

The integration of these methods and tools into university courses presents educators with many new challenges.

To address this, the Thuringian University Initiative for AI in Academic Teaching (THInKI) and the Data Literacy Jena project (DaLiJe) are organizing the "KI-Werkstatt Lehre." Within the framework of this open event format, we want to provide educators from different fields of study with the opportunity to exchange ideas in a collegial setting and collaborate with AI experts, to develop concepts for the integration of AI into teaching. As the name suggests, this also involves collaboratively developing concrete, usable content and teaching concepts. The specific objectives are always aligned with the needs of the participants.

During the events, already active projects from the university have the opportunity to present their ideas and, if applicable, existing courses.

Interested educators from all fields of study are welcome. The event is explicitly aimed at those who have little or no prior experience in the field of AI.

Agenda

  • Welcome
  • Short introduction of participants
  • Short input: Introduction of the BMBF project THInKI
  • Discussion rounds: Analysis of requirements, offers and possible mode of collaboration regarding the implementation of AI ito university courses
  • Outlook and further proceeding

Registration

Please register via the following page: LinkExternal link