The use of artificial intelligence (AI) in business requires specific competencies. In addition to technical expertise, the business community requires knowledge of how to evaluate technical systems, embed them in business processes, work environments, products and services, and manage them in the long term. This bridge-building role falls primarily to economists as central business decision-makers. The target group of the joint project therefore includes business administration and related business courses (business information technology, industrial engineering, etc.), which together account for about 22% of students at German universities.
The goals of the joint project are the development and provision of a teaching module kit for AI, which teaches business students interdisciplinary AI skills in a scientifically sound and practical manner. The modular kit supports teaching for Bachelor's, Master's, Executive Master's and PhD students at universities and universities of applied sciences (HAW). It comprises three pillars: (1) AI-related teaching content, which is oriented towards the students' professional background, skills and interests as well as career-relevant requirements. New didactically high-quality content is created and established Open Education Resources (OER) are used. (2) In an AI learning factory, AI content will be developed "hands-on" together with students. (3) An organizational and technical exchange platform will be created on which universities, industry partners and students can network in order to exploit synergies and build up competencies in an efficient and targeted manner.
The joint project unites eleven applicants from three universities and one HAW from three German states, who are united by the focus on AI competencies of business students. Content and formats are jointly developed, mutually used and made publicly accessible. Compared to individual creation, this substantially strengthens the breadth and depth of the offering as well as the efficiency and quality of teaching.
