Extracting Notional Machines for Databases

Daphne Miedema; George Fletcher; Fenia Aivaloglou; Leonard Busuttil; Laura Farinetti; Martin Goodfellow; Giovanna Guerrini; Georgiana Haldeman; Yuhan Pan; More Authors

doi:10.1145/3724389.3731277

Extracting Notional Machines for Databases

Daphne Miedema, George Fletcher, Fenia Aivaloglou, Leonard Busuttil, Laura Farinetti, Martin Goodfellow, Giovanna Guerrini, Georgiana Haldeman, Yuhan Pan, More Authors

Web Information Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

Database education is a cornerstone under many of the more popular topics in computer science such as machine learning and visualization. Although, in recent years, more fundamental research into database education has come out, there are many more ways in which it can be extended. Research on the practice of teaching databases, namely on the educational materials and explanations of teachers, can help us create new building blocks for fundamental research. This working group aims to collect and present notional machines of different types, for a wide range of database subtopics. These materials offer and updated context for database educators to design their courses from, as well as open up pathways of further research into database education.

Original language	English
Title of host publication	ITiCSE 2025: Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2
Place of Publication	New York, NY
Publisher	Association for Computing Machinery (ACM)
Pages	693-694
Number of pages	2
ISBN (Electronic)	979-8-4007-1569-3
DOIs	https://doi.org/10.1145/3724389.3731277
Publication status	Published - 2025
Event	30th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2025 - Radboud University, Nijmegen, Netherlands Duration: 30 Jun 2025 → 2 Jul 2025 https://iticse.acm.org/2025/

Conference

Conference	30th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2025
Country/Territory	Netherlands
City	Nijmegen
Period	30/06/25 → 2/07/25
Internet address	https://iticse.acm.org/2025/

Bibliographical note

Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

conceptual machine
data systems
database
education
metaphor
notional machine
student

Access to Document

10.1145/3724389.3731277

3724389.3731277Final published version, 894 KB

Cite this

Miedema, D., Fletcher, G., Aivaloglou, F., Busuttil, L., Farinetti, L., Goodfellow, M., Guerrini, G., Haldeman, G., Pan, Y., & More Authors (2025). Extracting Notional Machines for Databases. In ITiCSE 2025: Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2 (pp. 693-694). Association for Computing Machinery (ACM). https://doi.org/10.1145/3724389.3731277

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abstract = "Database education is a cornerstone under many of the more popular topics in computer science such as machine learning and visualization. Although, in recent years, more fundamental research into database education has come out, there are many more ways in which it can be extended. Research on the practice of teaching databases, namely on the educational materials and explanations of teachers, can help us create new building blocks for fundamental research. This working group aims to collect and present notional machines of different types, for a wide range of database subtopics. These materials offer and updated context for database educators to design their courses from, as well as open up pathways of further research into database education.",

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note = "Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 30th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2025 ; Conference date: 30-06-2025 Through 02-07-2025",

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Miedema, D, Fletcher, G, Aivaloglou, F, Busuttil, L, Farinetti, L, Goodfellow, M, Guerrini, G, Haldeman, G, Pan, Y & More Authors 2025, Extracting Notional Machines for Databases. in ITiCSE 2025: Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2. Association for Computing Machinery (ACM), New York, NY, pp. 693-694, 30th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2025, Nijmegen, Netherlands, 30/06/25. https://doi.org/10.1145/3724389.3731277

Extracting Notional Machines for Databases. / Miedema, Daphne; Fletcher, George; Aivaloglou, Fenia et al.
ITiCSE 2025: Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2. New York, NY: Association for Computing Machinery (ACM), 2025. p. 693-694.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Fletcher, George

AU - Aivaloglou, Fenia

AU - Busuttil, Leonard

AU - Farinetti, Laura

AU - Goodfellow, Martin

AU - Guerrini, Giovanna

AU - Haldeman, Georgiana

AU - Pan, Yuhan

AU - More Authors, null

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KW - metaphor

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BT - ITiCSE 2025: Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2

PB - Association for Computing Machinery (ACM)

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Y2 - 30 June 2025 through 2 July 2025

ER -

Extracting Notional Machines for Databases

Abstract

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Bibliographical note

Keywords

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