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Documents authored by Primo, Marco

Document
DOI: 10.4230/OASIcs.SLATE.2022.4
Generation of Document Type Exercises for Automated Assessment

Authors: José Paulo Leal, Ricardo Queirós, and Marco Primo

Published in: OASIcs, Volume 104, 11th Symposium on Languages, Applications and Technologies (SLATE 2022)

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.
Cite as

José Paulo Leal, Ricardo Queirós, and Marco Primo. Generation of Document Type Exercises for Automated Assessment. In 11th Symposium on Languages, Applications and Technologies (SLATE 2022). Open Access Series in Informatics (OASIcs), Volume 104, pp. 4:1-4:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@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/entities/document/10.4230/OASIcs.SLATE.2022.4},
  URN =		{urn:nbn:de:0030-drops-167506},
  doi =		{10.4230/OASIcs.SLATE.2022.4},
  annote =	{Keywords: exercise generation, automated assessment, document type assessment}
}
Document
DOI: 10.4230/OASIcs.ICPEC.2022.9
Integration of Computer Science Assessment into Learning Management Systems with JuezLTI

Authors: Juan V. Carrillo, Alberto Sierra, José Paulo Leal, Ricardo Queirós, Salvador Pellicer, and Marco Primo

Published in: OASIcs, Volume 102, Third International Computer Programming Education Conference (ICPEC 2022)

Abstract
Computer science is a skill that will continue to be in high demand in the foreseeable future. Despite this trend, automated assessment in computer science is often hampered by the lack of systems supporting a wide range of topics. While there is a number of open software systems and programming exercise collections supporting automated assessment, up to this date, there are few systems that offer a diversity of exercises ranging from computer programming exercises to markup and databases languages. At the same time, most of the best-of-breed solutions force teachers and students to alternate between the Learning Management System - a pivotal piece of the e-learning ecosystem - and the tool providing the exercises. This issue is addressed by JuezLTI, an international project whose goal is to create an innovative tool to allow the automatic assessment of exercises in a wide range of computer science topics. These topics include different languages used in computer science for programming, markup, and database management. JuezLTI borrows part of its name from the IMS Learning Tools Interoperability (IMS LTI) standard. With this standard, the tool will interoperate with reference systems such as Moodle, Sakai, Canvas, or Blackboard, among many others. Another contribution of JuezLTI will be a pool of exercises. Interoperability and content are expected to foster the adoption of JuezLTI by many institutions. This paper presents the JuezLTI project, its architecture, and its main components.
Cite as

Juan V. Carrillo, Alberto Sierra, José Paulo Leal, Ricardo Queirós, Salvador Pellicer, and Marco Primo. Integration of Computer Science Assessment into Learning Management Systems with JuezLTI. In Third International Computer Programming Education Conference (ICPEC 2022). Open Access Series in Informatics (OASIcs), Volume 102, pp. 9:1-9:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{carrillo_et_al:OASIcs.ICPEC.2022.9,
  author =	{Carrillo, Juan V. and Sierra, Alberto and Leal, Jos\'{e} Paulo and Queir\'{o}s, Ricardo and Pellicer, Salvador and Primo, Marco},
  title =	{{Integration of Computer Science Assessment into Learning Management Systems with JuezLTI}},
  booktitle =	{Third International Computer Programming Education Conference (ICPEC 2022)},
  pages =	{9:1--9:8},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-229-7},
  ISSN =	{2190-6807},
  year =	{2022},
  volume =	{102},
  editor =	{Sim\~{o}es, Alberto and Silva, Jo\~{a}o Carlos},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2022.9},
  URN =		{urn:nbn:de:0030-drops-166130},
  doi =		{10.4230/OASIcs.ICPEC.2022.9},
  annote =	{Keywords: programming, interoperability, automatic assessment, programming exercises}
}
Document
Short Paper
DOI: 10.4230/OASIcs.ICPEC.2021.7
Matching User Interfaces to Assess Simple Web Applications (Short Paper)

Authors: Marco Primo and José Paulo Leal

Published in: OASIcs, Volume 91, Second International Computer Programming Education Conference (ICPEC 2021)

Abstract
This paper presents ongoing research aiming at the automatic assessment of simple web applications, like those used in introductory web technologies courses. The distinctive feature of the proposed approach is a web interface matching procedure. This matching procedure verifies if the web interface being assessed corresponds to that of a reference application; otherwise, provides detailed feedback on the detected differences. Since web interfaces are event-driven, this matching is instrumental to assess the functionality. After mapping web interface elements from two applications, these can be targeted with events and property changes can be compared. This paper details the proposed matching algorithm and the current state of its implementation. It also discusses future work to embed this approach in a web environment for solving web application exercises with automatic assessment.
Cite as

Marco Primo and José Paulo Leal. Matching User Interfaces to Assess Simple Web Applications (Short Paper). In Second International Computer Programming Education Conference (ICPEC 2021). Open Access Series in Informatics (OASIcs), Volume 91, pp. 7:1-7:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{primo_et_al:OASIcs.ICPEC.2021.7,
  author =	{Primo, Marco and Leal, Jos\'{e} Paulo},
  title =	{{Matching User Interfaces to Assess Simple Web Applications}},
  booktitle =	{Second International Computer Programming Education Conference (ICPEC 2021)},
  pages =	{7:1--7:6},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-194-8},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{91},
  editor =	{Henriques, Pedro Rangel and Portela, Filipe and Queir\'{o}s, Ricardo and Sim\~{o}es, Alberto},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2021.7},
  URN =		{urn:nbn:de:0030-drops-142237},
  doi =		{10.4230/OASIcs.ICPEC.2021.7},
  annote =	{Keywords: automatic assessment, web interfaces, learning environments}
}
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