Uses of peer assessment in database teaching and learning

J. Paterson, J. N. Wilson, P. Leimich

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2 Citations (Scopus)
115 Downloads (Pure)

Abstract

This discussion paper introduces three very different methods and contexts for the use of peer assessment in introductory database classes, each of which is supported by different learning software tools. In the first case study, at Glasgow Caledonian University, Contributing Student Pedagogy is used, where students contribute to the learning of others through the collaborative creation of a bank of self-assessment questions. This is supported by the Peerwise software tool. Secondly, at the University of Strathclyde, students undertake formative assessment of others in providing feedback on an initial element of a larger coursework assessment. A number of virtual learning environments (VLEs) are capable of supporting this method through customisable discussion fora. Finally, at the University of Abertay Dundee, peer and self assessment are used in a group project to adjust the group grade for individual students. This is effected through the use of the WebPA software tool.
Original languageEnglish
Title of host publicationData security and security data
Subtitle of host publication27th British National Conference on Databases, BNCOD 27 Dundee, UK, June 29 – July 1, 2010. Revised Selected Papers
EditorsLachlan M. MacKinnon
Place of PublicationBerlin
Pages135-146
Number of pages12
DOIs
Publication statusPublished - 11 Mar 2012

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume6121
ISSN (Print)0302-9743

Keywords

  • database systems
  • database teaching
  • peer assessment

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    Paterson, J., Wilson, J. N., & Leimich, P. (2012). Uses of peer assessment in database teaching and learning. In L. M. MacKinnon (Ed.), Data security and security data: 27th British National Conference on Databases, BNCOD 27 Dundee, UK, June 29 – July 1, 2010. Revised Selected Papers (pp. 135-146). (Lecture Notes in Computer Science; Vol. 6121).. https://doi.org/10.1007/978-3-642-25704-9_17