Pedagogical Enhancements for Information Retrieval Courses

Fox, Edward A.; Murthy, Uma; Yang, Sen; Torres, Ricardo da Silva; Velasco-Martin, Javier; Marchionini, Gary

doi:10.1007/978-3-642-22511-6_4

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Teaching and Learning Information Retrieval (Ir)1

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2023

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“…The target audience affects whether IR is taught as a solution or as a problem within a course. For example, MacFarlane (2011), Mothe andSahut (2011), andHalttunen (2011) assume the former for library and information science students, while Mizzaro (2011) and Fox et al (2011) assume the latter for computer science students. Likewise, our focus is on courses that teach IR as a problem.…”

Section: Teaching and Learning Information Retrieval (Ir)mentioning

confidence: 99%

Shared Tasks as Tutorials: A Methodical Approach

Elstner

Loebe

Ajjour

et al. 2023

AAAI

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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.

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