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Exploring the Prevalence of SQL Misconceptions: a Study Design

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Abstract

The Structured Query Language (SQL) is an established language for data manipulation in relational databases. It is widely used in industry, and therefore part of the typical Computer Science curriculum. From the large amounts of mistakes higher education students make while learning and using SQL, we know that this language is not easy to learn. Various researchers have examined the types of mistakes SQL novices make, and recently, the first step towards understanding the underlying reasons for these mistakes has been made. In this poster abstract, we propose a study to examine the prevalence of these origins, also called misconceptions. We hope the Computer Science Education community will help us reflect on and strengthen our methodology, and ultimately, our findings.
Original languageEnglish
Title of host publicationKoli Calling '21
Subtitle of host publicationProceedings of the 21st Koli Calling International Conference on Computing Education Research
EditorsOtto Seppälä, Andrew Petersen
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc.
Number of pages3
ISBN (Electronic)978-1-4503-8488-9
DOIs
Publication statusPublished - 18 Nov 2021
Event21st Koli Calling International Conference on Computing Education Research, Koli Calling 2021 - Joensuu, Finland
Duration: 18 Nov 202121 Nov 2021

Conference

Conference21st Koli Calling International Conference on Computing Education Research, Koli Calling 2021
Abbreviated titleKoli Calling 2021
Country/TerritoryFinland
CityJoensuu
Period18/11/2121/11/21

Keywords

  • Computer science education
  • Structured Query Language
  • misconceptions
  • multiple-choice questions
  • study design
  • SQL

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