April 3, 2025 [ 9:00 am - 1:00 pm ]
This course is designed for instructors who are navigating the challenges of performance assessment in a landscape where generative AI tools, such as ChatGPT, are playing an increasingly prominent role. It is particularly suited for those seeking practical strategies to effectively adapt performance assessment methods in response to these developments.
The advanced training can be credited within the framework of the Basiszertifikat Hochschullehre - Basic Didactics Certificate (*BZH) for MODUL 2 "Examiniation".
Diese Fortbildung richtet sich an alle Lehrenden der BOKU!
Die Fortbildung kann im Rahmen des Basiszertifikats Hochschullehre (*BZH) für das MODUL 2 "Prüfen" angerechnet werden.
Objectives:
Since the introduction of ChatGPT, university instructors have been confronted with new challenges in performance assessment. This webinar explores how exams and assessments can be adapted in a world where generative AI tools, such as ChatGPT, are increasingly prevalent, ensuring that student evaluation remains meaningful and fair. We will examine various forms of examinations, identify emerging challenges, and discuss potential opportunities for adaptation in an AI-influenced academic landscape. Together, we will explore strategies for designing assessments that accurately reflect the individual competencies of students.
This webinar provides possible approaches, but no definite solutions or one-size-fits-all answers for the challenges of performance assessment.
Content:
challenges posed by the availability of generative AI tools, such as ChatGPT, in the context of university performance assessment
identification of the ideal conditions for conducting exams in an AI-influenced academic environment
Analysing, guiding and refining suitable task types for their own teaching context
desiging authentic exam tasks
establishing clear assessment criteria to ensure performance evaluation (better) aligns with students' individual competencies
Methods:
diverse interactive settings using various teaching and learning methods; individual reflection, pair and group activities, facilitated discussion, concise theoretical input, and hands-on practical applications
Maximum group size: 12 Participants
This training takes place online via ZOOM.