License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.SLATE.2018.3
URN: urn:nbn:de:0030-drops-92615
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9261/
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Correia, Helder ; Leal, José Paulo ; Paiva, José Carlos

Moozz: Assessment of Quizzes in Mooshak 2.0 (Short Paper)

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OASIcs-SLATE-2018-3.pdf (0.4 MB)

Abstract

Quizzes are a widely used form of assessment, supported in many e-learning systems. Mooshak is a web system which supports automated assessment in computer science. This paper presents Moozz, a quiz assessment environment for Mooshak 2.0, with its own XML definition for describing quizzes. This definition is used for: interoperability with different e-learning systems, generating HTML-based forms, storing student answers, marking final submissions and generating feedback. Furthermore, Moozz also includes an authoring tool for creating quizzes. The paper describes Moozz, its quiz definition language and architecture, and details its implementation.

BibTeX - Entry

@InProceedings{correia_et_al:OASIcs:2018:9261,
  author =	{Helder Correia and Jos{\'e} Paulo Leal and Jos{\'e} Carlos Paiva},
  title =	{{Moozz: Assessment of Quizzes in Mooshak 2.0 (Short Paper)}},
  booktitle =	{7th Symposium on Languages, Applications and Technologies  (SLATE 2018)},
  pages =	{3:1--3:8},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-072-9},
  ISSN =	{2190-6807},
  year =	{2018},
  volume =	{62},
  editor =	{Pedro Rangel Henriques and Jos{\'e} Paulo Leal and Ant{\'o}nio Menezes Leit{\~a}o and Xavier G{\'o}mez Guinovart},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9261},
  URN =		{urn:nbn:de:0030-drops-92615},
  doi =		{10.4230/OASIcs.SLATE.2018.3},
  annote =	{Keywords: quiz, automated assessment, authoring, XML, feedback, e-learning}
}

Keywords: quiz, automated assessment, authoring, XML, feedback, e-learning
Collection: 7th Symposium on Languages, Applications and Technologies (SLATE 2018)
Issue Date: 2018
Date of publication: 13.07.2018

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