Engaging Databases for Data Systems Education.

Toni Taipalus, Daphne Miedema, Efthimia Aivaloglou

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

Querying a relational database is typically taught in practice by using an exercise database. Such databases may be simple toy examples or elaborate and complex schemas that mimic the real world. Which of these are preferable for students is yet unknown. Research has shown that while more complex exercise databases may hinder learning, they also benefit student engagement, as more complex databases are seen as more realistic. In our mixed-methods study, we explore what aspects of an exercise database contribute to student engagement in database education. To gain insight into what students would deem engaging, we asked 56 students to design, implement, and reflect on engaging databases for database education. The results imply that students are engaged by highly diverse yet easily understood database business domains, relatively simple database structures, and conceivable yet seemingly realistic amounts of data. The results challenge some previous study results while supporting approaches found in some textbooks, and provide guidelines and inspiration for educators designing exercise databases for querying and introducing relational database concepts.
Original languageEnglish
Title of host publicationITiCSE 2023 - Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education
PublisherAssociation for Computing Machinery, Inc
Pages334-340
Number of pages7
ISBN (Electronic)9798400701382
DOIs
Publication statusPublished - 29 Jun 2023

Bibliographical note

DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

Keywords

  • Database
  • Education
  • Complexity
  • SQL
  • Engagement
  • Motivation
  • complexity
  • database
  • education
  • engagement
  • motivation

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  • Best Paper Nomination

    Taipalus, T. (Recipient), Miedema, D. E. (Recipient) & Aivaloglou, E. (Recipient), 10 Jul 2023

    Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

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