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https://doi.org/10.21256/zhaw-24263| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | Goal-oriented models for teaching and understanding data structures |
| Authors: | Franch, Xavier Ruiz, Marcela |
| et. al: | No |
| DOI: | 10.1007/978-3-030-89022-3_19 10.21256/zhaw-24263 |
| Proceedings: | Conceptual Modeling |
| Editors of the parent work: | Ghose, Aditya Horkoff, Jennifer Silva Souza, Vítor E. Parsons, Jeffrey Evermann, Joerg |
| Page(s): | 227 |
| Pages to: | 241 |
| Conference details: | 40th International Conference on Conceptual Modeling (ER2021), online, 18-21 October 2021 |
| Issue Date: | 2021 |
| Series: | Lecture Notes in Computer Science |
| Series volume: | 13011 |
| Publisher / Ed. Institution: | Springer |
| Publisher / Ed. Institution: | Cham |
| ISBN: | 978-3-030-89021-6 978-3-030-89022-3 |
| Language: | English |
| Subjects: | Goal-oriented model; iStar2.0; i*; Data structure; Software selection; Comparative quasi-experiment |
| Subject (DDC): | 005: Computer programming, programs and data |
| Abstract: | Most computer science curricula include a compulsory course on data structures. Students are prone to memorise facts about data structures instead of understanding the essence of underlying concepts. This can be explained by the fact that learning the basics of each data structure, the difference with each other, and the adequacy of each of them to the most appropriate context of use, is far from trivial. This paper explores the idea of providing adequate levels of abstractions to describe data structures from an intentional point of view. Our hypothesis is that adopting a goal-oriented perspective could emphasise the main goals of each data structure, its qualities, and its relationships with the potential context of use. Following this hypothesis, in this paper we present the use of iStar2.0 to teach and understand data structures. We conducted a comparative quasi-experiment with undergraduate students to evaluate the effectiveness of the approach. Significant results show the great potential of goal modeling for teaching technical courses like data structures. We conclude this paper by reflecting on further teaching and conceptual modeling research to be conducted in this field. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/24263 |
| Fulltext version: | Accepted version |
| License (according to publishing contract): | Licence according to publishing contract |
| Restricted until: | 2022-10-16 |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2021_Franch-Ruiz_Goal-oriented-models-data-structures_ER2021.pdf | Accepted Version | 764.03 kB | Adobe PDF |  View/Open |
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Franch, X., & Ruiz, M. (2021). Goal-oriented models for teaching and understanding data structures [Conference paper]. In A. Ghose, J. Horkoff, V. E. Silva Souza, J. Parsons, & J. Evermann (Eds.), Conceptual Modeling (pp. 227–241). Springer. https://doi.org/10.1007/978-3-030-89022-3_19
Franch, X. and Ruiz, M. (2021) ‘Goal-oriented models for teaching and understanding data structures’, in A. Ghose et al. (eds) Conceptual Modeling. Cham: Springer, pp. 227–241. Available at: https://doi.org/10.1007/978-3-030-89022-3_19.
X. Franch and M. Ruiz, “Goal-oriented models for teaching and understanding data structures,” in Conceptual Modeling, 2021, pp. 227–241. doi: 10.1007/978-3-030-89022-3_19.
FRANCH, Xavier und Marcela RUIZ, 2021. Goal-oriented models for teaching and understanding data structures. In: Aditya GHOSE, Jennifer HORKOFF, Vítor E. SILVA SOUZA, Jeffrey PARSONS und Joerg EVERMANN (Hrsg.), Conceptual Modeling. Conference paper. Cham: Springer. 2021. S. 227–241. ISBN 978-3-030-89021-6
Franch, Xavier, and Marcela Ruiz. 2021. “Goal-Oriented Models for Teaching and Understanding Data Structures.” Conference paper. In Conceptual Modeling, edited by Aditya Ghose, Jennifer Horkoff, Vítor E. Silva Souza, Jeffrey Parsons, and Joerg Evermann, 227–41. Cham: Springer. https://doi.org/10.1007/978-3-030-89022-3_19.
Franch, Xavier, and Marcela Ruiz. “Goal-Oriented Models for Teaching and Understanding Data Structures.” Conceptual Modeling, edited by Aditya Ghose et al., Springer, 2021, pp. 227–41, https://doi.org/10.1007/978-3-030-89022-3_19.
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