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

Authors Helder Correia , José Paulo Leal , José Carlos Paiva



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Author Details

Helder Correia
  • CRACS & INESC-Porto LA, Faculty of Sciences, University of Porto, Portugal
José Paulo Leal
  • CRACS & INESC-Porto LA, Faculty of Sciences, University of Porto, Portugal
José Carlos Paiva
  • CRACS & INESC-Porto LA, Faculty of Sciences, University of Porto, Portugal

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Helder Correia, José Paulo Leal, and José Carlos Paiva. Moozz: Assessment of Quizzes in Mooshak 2.0 (Short Paper). In 7th Symposium on Languages, Applications and Technologies (SLATE 2018). Open Access Series in Informatics (OASIcs), Volume 62, pp. 3:1-3:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018) https://doi.org/10.4230/OASIcs.SLATE.2018.3

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.

Subject Classification

ACM Subject Classification
  • Applied computing → Interactive learning environments
Keywords
  • quiz
  • automated assessment
  • authoring
  • XML
  • feedback
  • e-learning

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