Media-enriched testing

The eTeach network is initially creating a common basis for this subject area. This includes creating a glossary of the most important terms and developing a self-study course that teaches the basics. Furthermore, a comprehensive overview of existing examination systems, their support services and the relevant legal framework will be compiled and regularly updated. A survey of teaching staff will provide additional insights into the current needs and challenges in the area of media-enhanced testing. In addition, the formulation of suitable tasks will be addressed that enable the effective creation and automated evaluation of adaptive tasks and quizzes for both formative and summative testing. Furthermore, recommendations for the use of AI tools in testing will be developed, including practical handouts and specialized training courses. These measures will lead to the development of new, innovative examination formats using AI tools.

In the network, the following issues are being addressed in a cross-university working group in order to ensure effective and ethical integration of AI into examination practice at Thuringian universities:

- How can the acceptance and understanding of AI-supported examinations be promoted among teachers, students and other stakeholders?

- How can AI tools be efficiently and effectively integrated into daily teaching practice?

- What legal, technical and infrastructural requirements are necessary for this?

- What ethical guidelines need to be established for the use of AI in examinations?

- How can new challenges arising from the use of AI in audits, such as the identification of attempted fraud, be effectively addressed?

- How can we ensure that the assessments performed by AI systems are fair and free from bias?

These key questions are intended to serve as a basis for structuring the discussions and activities of the cross-university working group and to promote the responsible, ethical and didactically sensible use of AI in university examinations.

Advice and further training for teaching staff form a key pillar of our approach. Here, we promote the exchange between colleagues on digital examination concepts. We present examples of good practice that illustrate how media-enhanced examinations can be successfully implemented in the age of AI. These examples serve as inspiration and guidance for teachers who want to integrate digital media into their examination practices. Through these multi-layered approaches, we strive to sustainably improve the quality and efficiency of higher education in the age of digitalization.