The "Interdisciplinary AI and Data Lab in Teacher Education" (Teacher AID Lab) at the University of Hamburg is a university teaching project that engages pre-service STEM teachers through an interdisciplinary seminar in collaboration with a student research center (SFZ) for secondary school students. Through interactive unplugged activities, the pre-service teachers grasp fundamental concepts of AI and data management. Blending online self-study with in-person lab experiences, they explore theory and engage in project-based learning with school students. This approach combines subject knowledge with pedagogical skills alongside Data Literacy and AI Literacy, as the pre-service teachers guide structured and documented projects for school students while infusing their disciplinary perspectives. This promotes experimental learning, fostering a dynamic and collaborative educational environment.
Here we provide the teaching-learning material that we have created and used in the course for the purpose of project-oriented, problem-based and inquiry-based learning for the introduction to AI and data concepts for teachers of various subjects.
The project was funded by the "Digital and Data Literacy in Teaching Lab" (DDLitLab) at the University of Hamburg with funds of the "Stiftung Innovation in der Hochschullehre".
The "Interdisciplinary AI and Data Lab in Teacher Education" (Teacher AID Lab) at the University of Hamburg is a university teaching project that engages pre-service STEM teachers through an interdisciplinary seminar in collaboration with a student research center (SFZ) for secondary school students. Through interactive unplugged activities, the pre-service teachers grasp fundamental concepts of AI and data management. Blending online self-study with in-person lab experiences, they explore theory and engage in project-based learning with school students. This approach combines subject knowledge with pedagogical skills alongside Data Literacy and AI Literacy, as the pre-service teachers guide structured and documented projects for school students while infusing their disciplinary perspectives. This promotes experimental learning, fostering a dynamic and collaborative educational environment.
Here we provide the teaching-learning material that we have created and used in the course for the purpose of project-oriented, problem-based and inquiry-based learning for the introduction to AI and data concepts for teachers of various subjects.
The project was funded by the "Digital and Data Literacy in Teaching Lab" (DDLitLab) at the University of Hamburg with funds of the "Stiftung Innovation in der Hochschullehre".