License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.SLATE.2022.4
URN: urn:nbn:de:0030-drops-167506
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/16750/
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Leal, José Paulo ; Queirós, Ricardo ; Primo, Marco

Generation of Document Type Exercises for Automated Assessment

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OASIcs-SLATE-2022-4.pdf (0.5 MB)

Abstract

This paper describes ongoing research to develop a system to automatically generate exercises on document type validation. It aims to support multiple text-based document formalisms, currently including JSON and XML. Validation of JSON documents uses JSON Schema and validation of XML uses both XML Schema and DTD. The exercise generator receives as input a document type and produces two sets of documents: valid and invalid instances. Document types written by students must validate the former and invalidate the latter. Exercises produced by this generator can be automatically accessed in a state-of-the-art assessment system. This paper details the proposed approach and describes the design of the system currently being implemented.

BibTeX - Entry

@InProceedings{leal_et_al:OASIcs.SLATE.2022.4,
  author =	{Leal, Jos\'{e} Paulo and Queir\'{o}s, Ricardo and Primo, Marco},
  title =	{{Generation of Document Type Exercises for Automated Assessment}},
  booktitle =	{11th Symposium on Languages, Applications and Technologies (SLATE 2022)},
  pages =	{4:1--4:6},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-245-7},
  ISSN =	{2190-6807},
  year =	{2022},
  volume =	{104},
  editor =	{Cordeiro, Jo\~{a}o and Pereira, Maria Jo\~{a}o and Rodrigues, Nuno F. and Pais, Sebasti\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/16750},
  URN =		{urn:nbn:de:0030-drops-167506},
  doi =		{10.4230/OASIcs.SLATE.2022.4},
  annote =	{Keywords: exercise generation, automated assessment, document type assessment}
}

Keywords: exercise generation, automated assessment, document type assessment
Collection: 11th Symposium on Languages, Applications and Technologies (SLATE 2022)
Issue Date: 2022
Date of publication: 27.07.2022

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