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Faculty of Education
Facultyof Education

Photo: UHH/Roehl

Teacher AID Lab

Interdisciplinary AI + Data Lab in Teacher Education 

Photo: Moritz Kreinsen

Project members: Prof. Dr. Sandra Schulz, Moritz Kreinsen, Prof. Dr. Sandra Sprenger, Maimon Thiems

Funding: Digital and Data Literacy in Teaching Lab (DDLitLab) with funds of the Stiftung Innovation in der Hochschullehre

Cooperation partner: Schülerforschungszentrum Hamburg

Aims and background:

Within the framework of this data literacy teaching lab project, it is a new and innovative teaching-learning offer in teacher training for the acquisition of AI literacy and data literacy.  This is going to be developed by creating an interdisciplinary "AI + Data Lab" in cooperation with the SFZ Hamburg, which is to serve as a permanent, facultative offer in STEM teacher training. In the teaching-learning lab (Lab), students encounter an extracurricular learning space in which they acquire extensive AI and data competencies themselves on the one hand and didactic competencies through practical and low-threshold exercises on the other, while at the same time gaining practical teaching experience with secondary school students. In interdisciplinary collaboration along the STEM subjects, students will combine their subject-specific knowledge and contexts with methodological and application knowledge, thus learning from each other. The following contents will be addressed:

  • Data acquisition and processing methods, especially with the help of sensor data
  • Critically interpret, classify and evaluate data
  • Learning from data
  • Identify and classify artificial intelligence
  • The role of humans for AI
  • Steps of machine learning
  • Strengths and weaknesses of AI
  • AI and data ethics
  • Programmability
  • Decision making using data and AI methods