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          <dc:title>Generation of Document Type Exercises for Automated Assessment</dc:title>
          <dc:creator>Leal, José Paulo</dc:creator>
          <dc:creator>Queirós, Ricardo</dc:creator>
          <dc:creator>Primo, Marco</dc:creator>
          <dc:subject>exercise generation</dc:subject>
          <dc:subject>automated assessment</dc:subject>
          <dc:subject>document type assessment</dc:subject>
          <dc:description>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.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>José Paulo Leal and Ricardo Queirós and Marco Primo</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 104, 11th Symposium on Languages, Applications and Technologies (SLATE 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.SLATE.2022.4</dc:identifier>
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