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mam10eks authored May 26, 2024
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## Abstract
> A recent study has shown that students in IR courses are espe-
cially motivated and learn more effectively when they participate
in shared tasks as part of their coursework. We thus present a
range of tools and resources that support teachers in integrating
research in their IR courses. Based on TIREx and ir_datasets,
our Web IDE-based applications and tutorials cover the process
of a typical shared task in IR and allow students to gain hands-
on experience with experimental IR research—from creating test
collections over developing retrieval systems to making relevance
judgments and finally statistically analyzing the results. Using our
tools, IR research coursework can be conducted on existing or new
collections but can also be coupled with an upcoming shared task
to which students can optionally submit their final approaches. We
do not only present our tools and resources, but also report on our
experiences in implementing the corresponding teaching concept
in four IR courses for students at two universities. Our results con-
firm that students are very motivated to conduct research, and we
also find that some of the resulting artifacts (e.g., students’ test
collections and retrieval approaches) are of genuinely high quality.
> A recent study has shown that students in IR courses are especially motivated and learn more effectively when they participate in shared tasks as part of their coursework. We thus present a range of tools and resources that support teachers in integrating research in their IR courses. Based on TIREx and ir_datasets, our Web IDE-based applications and tutorials cover the process of a typical shared task in IR and allow students to gain hands-on experience with experimental IR research—from creating test collections over developing retrieval systems to making relevance judgments and finally statistically analyzing the results. Using our tools, IR research coursework can be conducted on existing or new collections but can also be coupled with an upcoming shared task to which students can optionally submit their final approaches. We do not only present our tools and resources, but also report on our experiences in implementing the corresponding teaching concept in four IR courses for students at two universities. Our results confirm that students are very motivated to conduct research, and we also find that some of the resulting artifacts (e.g., students’ test collections and retrieval approaches) are of genuinely high quality.

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