Regular offer period:
Winter term
Qualification goals:
The students
- name basic scientific theories and concepts for describing and analysing the social phenomena of ‘work’ and ‘technology’ and assess their significance for educational processes
- describe and analyse interactions between work, technology and education in selected professions and work processes
- gain an overview of the specifics of the vocational specialisations of construction technology, electrical engineering/information technology, wood technology, media technology and metal technology
- describe basic occupations, occupational work processes, technical systems and procedures of the vocational specialisations
- identify fields of work and tasks for teachers at schools in the industrial-technical field of the above-mentioned vocational specialisations
Contents:
- Industrial-technical occupational fields and training occupations
- Areas of responsibility for teachers in the vocational specialisations of construction technology, electrical engineering/information technology, wood technology, media technology and metal technology
- Organisational structures of vocational education
- Occupational and subject structures
- Methods for self-assessment of one's own level of competence
Lecturers:
Prof. Dr phil. Maren Baumhauer
Regular offer period:
Winter semester (probably once)
Prerequisite for participation:
Previous successful completion of the sub-modules GTW BC T1.2, GTW BC T2.7 and GTW BC T2.9 is recommended.
Qualification goals:
The students
- know the structure and mode of operation of mechatronic systems
Contents:
- Design of mechatronic systems (e.g. robots)
- Presentation, categorisation and evaluation of classic control and regulation strategies
Lecturers:
Johannes Schäfers (M. Ed.)
Regular offer period:
Summer semester
Prerequisite for participation:
Successful completion of the sub-modules GTW BC T1.2, GTW BC T2.7 and GTW BC T2.9 is recommended.
Qualification goals:
The students
- are familiar with control loops and the associated models
- know classical controllers / controller algorithms
Contents:
- Fundamentals of modelling important control loop elements and disturbance variables
- Development of automation systems
- Development tools/methodical procedures
Lecturers:
Johannes Schäfers (M. Ed.)
Regular offer period:
Summer semester
Qualification goals:
The students
- plan and work on an interdisciplinary project task in small groups within the framework of a given subject area and
- organise the individual and cooperative project work independently
- test, expand and deepen their professional knowledge, skills and abilities in interdisciplinary application
- apply professional and scientific research methods in order to obtain, assess, utilise and process the necessary information
- design and produce illustrative materials (e.g. models, simulations, designs) to convey their project realisation ideas
- demonstrate the ability to cooperate and coordinate in a team when working on a project, thereby expanding their social skills
- document their learning progress in process-accompanying portfolio work
Contents:
- Methods of project work and organisation at a professional or academic level
- Application of specialised knowledge, skills and abilities in complex contexts
- Scientific research methods
- Illustrative materials
- portfolio
Lecturers:
Prof. Dr Maren Baumhauer & M. Ed. Johannes Schäfers
Regular offer period:
Winter semester
Qualification goals:
The students
- present their project results in final presentations prepared in a division of labour
- reflect on their experiences and transfer them to professional contexts
Contents:
- Project presentation
- Reflection methods
Lecturers:
Prof. Dr Maren Baumhauer & M. Ed. Johannes Schäfers
Expected to be a one-off repeat offer:
Summer semester 2025
Qualification goals:
The students
- should be able to define and explain the underlying history of the development of AI and its current applications in the school education sector after attending the seminar.
- should be able to discuss the topic of AI in school education with other people based on scientific empirical foundations and current application references after attending the seminar.
- should be able to name, include and present application references of AI tools in the school education sector after attending the seminar.
- should be able to critically reflect on their own use of AI tools in school education and independently derive further application references after attending the seminar.
- should be able to independently develop and use AI tools for everyday work tasks and school-specific educational areas in the future after attending the seminar.
Contents:
- Introduction to the topic of AI
- AI application areas (e.g. for teaching applications)
- Prompt engineering
- Generative AI in text & image
- AI in school, training & studies
- Social & ethical implications
- Notes on data protection & AI
- Discussion on the topic of AI
Lecturers:
Johannes Schäfers (M. Ed.)