26877@AAAI

#1 Shared Tasks as Tutorials: A Methodical Approach [PDF] [Copy] [Kimi]

Authors: Theresa Elstner ; Frank Loebe ; Yamen Ajjour ; Christopher Akiki ; Alexander Bondarenko ; Maik Fröbe ; Lukas Gienapp ; Nikolay Kolyada ; Janis Mohr ; Stephan Sandfuchs ; Matti Wiegmann ; Jörg Frochte ; Nicola Ferro ; Sven Hofmann ; Benno Stein ; Matthias Hagen ; Martin Potthast

In this paper, we discuss the benefits and challenges of shared tasks as a teaching method. A shared task is a scientific event and a friendly competition to solve a research problem, the task. In terms of linking research and teaching, shared-task-based tutorials fulfill several faculty desires: they leverage students' interdisciplinary and heterogeneous skills, foster teamwork, and engage them in creative work that has the potential to produce original research contributions. Based on ten information retrieval (IR) courses at two universities since 2019 with shared tasks as tutorials, we derive a domain-neutral process model to capture the respective tutorial structure. Meanwhile, our teaching method has been adopted by other universities in IR courses, but also in other areas of AI such as natural language processing and robotics.