Offering Institution
ZHAW-Zürih
Short Description of the Practice
Generative systems based on artificial intelligence (AI) are increasingly part of the new study and professional realities of teaching staff, students and continuing education participants. The available systems, which offer an ever-better level of performance, can support and enhance teaching, learning and research processes in a meaningful and efficient manner. They thus offer a wide range of opportunities to increasingly focus on creative, problem-solving activities and to further boost the performance and innovative capacity of universities. However, the existence of generative AI systems also poses challenges. Specifically, one of the questions that arises is which requirements have to be in place to allow for fair, valid and reliable assessments to be conducted that actually check and assess the skills that students and continuing education participants are supposed to acquire. Therefore, the Academic Affairs Unit has developed Guidelines AI in Assessment.
The Guidelines explain the use of generativeAI systems for summative (assessment-related) assessments. In particular, they are intended to provide directors of studies and lecturers with guidance on questions raised in connection with generative AI systems and assessments and to ensure that the issue is handled in as uniform a manner as possible throughout the university.
Main Activities of the Practice
Main activities of the good practice (Please share more detailed operational information on the scope of your good practice: main activities, pillars, and practices) Guidelines AI in Assessment and German-only Annex “Obligation to declare the use of generative AI for graded assignments”
Target Audiences
ZHAW faculty and students
Number of Modules and Total Duration of Implementation
4 Modules, 4 hours
Type of Delivery
Remote
Language of Delivery
English and French