@inproceedings{heck-meurers-2023-using,
title = "Using Learning Analytics for Adaptive Exercise Generation",
author = "Heck, Tanja and
Meurers, Detmar",
editor = {Kochmar, Ekaterina and
Burstein, Jill and
Horbach, Andrea and
Laarmann-Quante, Ronja and
Madnani, Nitin and
Tack, Ana{\"\i}s and
Yaneva, Victoria and
Yuan, Zheng and
Zesch, Torsten},
booktitle = "Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.bea-1.4",
doi = "10.18653/v1/2023.bea-1.4",
pages = "44--56",
abstract = "Single Choice exercises constitute a central exercise type for language learning in a learner{'}s progression from mere implicit exposure through input enhancement to productive language use in open exercises. Distractors that support learning in the individual zone of proximal development should not be derived from static analyses of learner corpora, but rely on dynamic learning analytics based on half-open exercises. We demonstrate how a system{'}s error diagnosis module can be re-used for automatic and dynamic generation and adaptation of distractors, as well as to inform exercise generation in terms of relevant learning goals and reasonable chunking in Jumbled Sentences exercises.",
}
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%0 Conference Proceedings
%T Using Learning Analytics for Adaptive Exercise Generation
%A Heck, Tanja
%A Meurers, Detmar
%Y Kochmar, Ekaterina
%Y Burstein, Jill
%Y Horbach, Andrea
%Y Laarmann-Quante, Ronja
%Y Madnani, Nitin
%Y Tack, Anaïs
%Y Yaneva, Victoria
%Y Yuan, Zheng
%Y Zesch, Torsten
%S Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F heck-meurers-2023-using
%X Single Choice exercises constitute a central exercise type for language learning in a learner’s progression from mere implicit exposure through input enhancement to productive language use in open exercises. Distractors that support learning in the individual zone of proximal development should not be derived from static analyses of learner corpora, but rely on dynamic learning analytics based on half-open exercises. We demonstrate how a system’s error diagnosis module can be re-used for automatic and dynamic generation and adaptation of distractors, as well as to inform exercise generation in terms of relevant learning goals and reasonable chunking in Jumbled Sentences exercises.
%R 10.18653/v1/2023.bea-1.4
%U https://aclanthology.org/2023.bea-1.4
%U https://doi.org/10.18653/v1/2023.bea-1.4
%P 44-56
Markdown (Informal)
[Using Learning Analytics for Adaptive Exercise Generation](https://aclanthology.org/2023.bea-1.4) (Heck & Meurers, BEA 2023)
ACL