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Details

  • Name

    José Carlos Paiva
  • Cluster

    Computer Science
  • Role

    Research Assistant
  • Since

    01st August 2014
001
Publications

2018

Improving Diagram Assessment in Mooshak

Authors
Correia, H; Leal, JP; Paiva, JC;

Publication
Technology Enhanced Assessment - Communications in Computer and Information Science

Abstract

2018

Asura: A Game-Based Assessment Environment for Mooshak (Short Paper)

Authors
Paiva, JC; Leal, JP;

Publication
7th Symposium on Languages, Applications and Technologies, SLATE 2018, June 21-22, 2018, Guimaraes, Portugal

Abstract

2018

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

Authors
Correia, H; Leal, JP; Paiva, JC;

Publication
7th Symposium on Languages, Applications and Technologies, SLATE 2018, June 21-22, 2018, Guimaraes, Portugal

Abstract

2018

Raccode: An Eclipse Plugin for Assessment of Programming Exercises (Short Paper)

Authors
Silva, A; Leal, JP; Paiva, JC;

Publication
7th Symposium on Languages, Applications and Technologies, SLATE 2018, June 21-22, 2018, Guimaraes, Portugal

Abstract

2017

Enhancing Feedback to Students in Automated Diagram Assessment

Authors
Correia, H; Leal, JP; Paiva, JC;

Publication
6th Symposium on Languages, Applications and Technologies, SLATE 2017, June 26-27, 2017, Vila do Conde, Portugal

Abstract
Automated assessment is an essential part of eLearning. Although comparatively easy for multiple choice questions (MCQs), automated assessment is more challenging when exercises involve languages used in computer science. In this particular case, the assessment is more than just grading and must include feedback that leads to the improvement of the students’ performance. This paper presents ongoing work to develop Kora, an automated diagram assessment tool with enhanced feedback, targeted to the multiple diagrammatic languages used in computer science. Kora builds on the experience gained with previous research, namely: a diagram assessment tool to compute di erences between graphs; an IDE inspired web learning environment for computer science languages; and an extensible web diagram editor. Kora has several features to enhance feedback: it distinguishes syntactic and semantic errors, providing specialized feedback in each case; it provides progressive feedback disclosure, controlling the quality and quantity shown to each student after a submission; when possible, it integrates feedback within the diagram editor showing actual nodes and edges on the editor itself. © Hélder Correia, José Paulo Leal, and José Carlos Paiva