A System Employing Peer Review and Enhanced Computer Assisted Assessment of Querying Skills
In recent years a small number of web-based tools have been proposed to help students learn to write SQL query statements and also to assess students' SQL writing skills. SQLify is a new SQL teaching and assessment tool that extends the current state-of-the-art by incorporating peer review and...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Vilnius University
2007-04-01
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Series: | Informatics in Education |
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Online Access: | https://infedu.vu.lt/doi/10.15388/infedu.2007.11 |
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author | Michael de RAADT Stijn DEKEYSER Tien Yu LEE |
author_facet | Michael de RAADT Stijn DEKEYSER Tien Yu LEE |
author_sort | Michael de RAADT |
collection | DOAJ |
description | In recent years a small number of web-based tools have been proposed to help students learn to write SQL query statements and also to assess students' SQL writing skills. SQLify is a new SQL teaching and assessment tool that extends the current state-of-the-art by incorporating peer review and enhanced automatic assessment based on database theory to produce more comprehensive feedback to students. SQLify (pronounced as squalify) is intended to yield a richer learning experience for students and reduce marking load for instructors. In this paper SQLify is compared with existing tools and important new features are demonstrated. |
first_indexed | 2024-04-12T20:47:02Z |
format | Article |
id | doaj.art-6b7f72bd2f444f49a17476a2e9f7d532 |
institution | Directory Open Access Journal |
issn | 1648-5831 2335-8971 |
language | English |
last_indexed | 2024-04-12T20:47:02Z |
publishDate | 2007-04-01 |
publisher | Vilnius University |
record_format | Article |
series | Informatics in Education |
spelling | doaj.art-6b7f72bd2f444f49a17476a2e9f7d5322022-12-22T03:17:15ZengVilnius UniversityInformatics in Education1648-58312335-89712007-04-016116317810.15388/infedu.2007.11A System Employing Peer Review and Enhanced Computer Assisted Assessment of Querying SkillsMichael de RAADT0Stijn DEKEYSER1Tien Yu LEE2Dept. Mathematics and Computing, University of Southern Queensland Toowoomba, Qld, 4350, AustraliaDept. Mathematics and Computing, University of Southern Queensland Toowoomba, Qld, 4350, AustraliaDept. Mathematics and Computing, University of Southern Queensland Toowoomba, Qld, 4350, AustraliaIn recent years a small number of web-based tools have been proposed to help students learn to write SQL query statements and also to assess students' SQL writing skills. SQLify is a new SQL teaching and assessment tool that extends the current state-of-the-art by incorporating peer review and enhanced automatic assessment based on database theory to produce more comprehensive feedback to students. SQLify (pronounced as squalify) is intended to yield a richer learning experience for students and reduce marking load for instructors. In this paper SQLify is compared with existing tools and important new features are demonstrated.https://infedu.vu.lt/doi/10.15388/infedu.2007.11peer reviewcomputer assisted assessmentweb-based learningdatabasesSQL |
spellingShingle | Michael de RAADT Stijn DEKEYSER Tien Yu LEE A System Employing Peer Review and Enhanced Computer Assisted Assessment of Querying Skills Informatics in Education peer review computer assisted assessment web-based learning databases SQL |
title | A System Employing Peer Review and Enhanced Computer Assisted Assessment of Querying Skills |
title_full | A System Employing Peer Review and Enhanced Computer Assisted Assessment of Querying Skills |
title_fullStr | A System Employing Peer Review and Enhanced Computer Assisted Assessment of Querying Skills |
title_full_unstemmed | A System Employing Peer Review and Enhanced Computer Assisted Assessment of Querying Skills |
title_short | A System Employing Peer Review and Enhanced Computer Assisted Assessment of Querying Skills |
title_sort | system employing peer review and enhanced computer assisted assessment of querying skills |
topic | peer review computer assisted assessment web-based learning databases SQL |
url | https://infedu.vu.lt/doi/10.15388/infedu.2007.11 |
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