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Generation of Document Type Exercises for Automated Assessment

Title
Generation of Document Type Exercises for Automated Assessment
Type
Article in International Conference Proceedings Book
Year
2022
Authors
José Paulo Leal
(Author)
FCUP
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Ricardo Queiros
(Author)
Other
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Primo, M
(Author)
Other
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Conference proceedings International
Pages: 4:1-4:6
11th Symposium on Languages, Applications and Technologies, SLATE 2022
14 July 2022 through 15 July 2022
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Authenticus ID: P-00X-20Y
Abstract (EN): 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. © José Paulo Leal, Ricardo Queirós, and Marco Primo.
Language: English
Type (Professor's evaluation): Scientific
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