Computer assisted assessment of SQL query skills

Paper

Dekeyser, Stijn, de Raadt, Michael and Lee, Tien Yu. 2007. "Computer assisted assessment of SQL query skills." Bailey, James and Fekete, Alan (ed.) 18th Australasian Database Conference (ADC 2007). Ballarat, Australia 29 Jan - 02 Feb 2007 Bedford Park, South Australia.
Paper/Presentation Title

Computer assisted assessment of SQL query skills

Presentation TypePaper
AuthorsDekeyser, Stijn (Author), de Raadt, Michael (Author) and Lee, Tien Yu (Author)
EditorsBailey, James and Fekete, Alan
Journal or Proceedings TitleProceedings of the 18th Australasian Database Conference (ADC 2007)
Journal Citation63, pp. 53-62
Number of Pages10
Year2007
Place of PublicationBedford Park, South Australia
ISBN1920682449
Web Address (URL) of Paperhttp://www.cs.mu.oz.au/adc07/
Conference/Event18th Australasian Database Conference (ADC 2007)
Event Details
18th Australasian Database Conference (ADC 2007)
Event Date
29 Jan 2007 to end of 02 Feb 2007
Event Location
Ballarat, Australia
Abstract

Structured Query Language (SQL) is the dominant language for
querying relational databases today, and is an essential topic in introductory database courses in higher education. Even though the language is syntactically simple, relatively concise, and highly structured, students experience many difficulties while learning to express queries in SQL. In recent years a small number of software tools have been proposed to help students learn to write query statements and to assess their querying skills.

In this paper we compare and evaluate existing tools mainly from the perspective of database theory and practice, but also from a pedagogical perspective. Addressing the deficiencies and opportunities uncovered by the evaluation, we then introduce SQLify, a new tool that extends the current state of the art by incorporating semantic feedback, enhanced automatic assessment based on database theory, and peer review to arrive at a richer learning experience for students, as well as consistent assessment results and reduced marking for instructors.

Keywordscomputer assisted learning and assessment; SQL; conjunctive queries; query equivalence
ANZSRC Field of Research 2020460806. Human-computer interaction
460902. Decision support and group support systems
390405. Educational technology and computing
Public Notes

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Byline AffiliationsDepartment of Mathematics and Computing
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