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How do we teach modelling and model-driven engineering?: a survey

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Manuel WimmerAuthors Info & Claims

MODELS '18: Proceedings of the 21st ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings

Pages 122 - 129

https://doi.org/10.1145/3270112.3270129

Published: 14 October 2018 Publication History

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Abstract

Understanding the experiences of instructors teaching modelling and model-driven engineering is of great relevance to determining how MDE courses should be managed in terms of content, assessment, and teaching methods. In this paper, we report the results of a survey of 47 instructors in this field. Questions address course content, tools and technologies used, as well as positive and negative factors affecting learning outcomes. We analyse the results and summarise key findings with the potential of improving the state of teaching and learning practices. The survey is a preliminary effort in giving a structured overview on the state-of-the-practice within teaching modeling and model-driven engineering (from the point of view of the instructor).

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Cited By

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Sağlam THahner SSchmid LBurger ERoychoudhury APaiva AAbreu RStorey MGama KSiegmund J(2024)Automated Detection of AI-Obfuscated Plagiarism in Modeling AssignmentsProceedings of the 46th International Conference on Software Engineering: Software Engineering Education and Training10.1145/3639474.3640084(297-308)Online publication date: 14-Apr-2024
https://dl.acm.org/doi/10.1145/3639474.3640084
Zhao XRai GPopoola S(2024)Ask or tell: An empirical study on modeling challenges from LabVIEW communityJournal of Computer Languages10.1016/j.cola.2024.10128480(101284)Online publication date: Aug-2024
https://doi.org/10.1016/j.cola.2024.101284
Kienzle JZschaler SBarnett WSağlam TBucchiarone AAbrahão SSyriani EKolovos DLethbridge TMustafiz SMeacham S(2024)Requirements for modelling tools for teachingSoftware and Systems Modeling10.1007/s10270-024-01192-yOnline publication date: 9-Jul-2024
https://doi.org/10.1007/s10270-024-01192-y
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Index Terms

How do we teach modelling and model-driven engineering?: a survey
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Software engineering education
      2. Model curricula

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Published In

MODELS '18: Proceedings of the 21st ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings

October 2018

214 pages

ISBN:9781450359658

DOI:10.1145/3270112

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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IEEE CS

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 October 2018

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Research-article

Funding Sources

Austrian Federal Ministry of Science, Research and Economy
National Foundation for Research, Technology and Development
Spanish Research Project TIN2014-52034-R
Austrian Research Promotion Agency (FFG)
Knowledge Foundation (KKS)

Conference

MODELS '18

Sponsor:

SIGSOFT

MODELS '18: ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems

October 14 - 19, 2018

Copenhagen, Denmark

Acceptance Rates

MODELS '18 Paper Acceptance Rate 19 of 29 submissions, 66%;

Overall Acceptance Rate 118 of 382 submissions, 31%

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Cited By

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Sağlam THahner SSchmid LBurger ERoychoudhury APaiva AAbreu RStorey MGama KSiegmund J(2024)Automated Detection of AI-Obfuscated Plagiarism in Modeling AssignmentsProceedings of the 46th International Conference on Software Engineering: Software Engineering Education and Training10.1145/3639474.3640084(297-308)Online publication date: 14-Apr-2024
https://dl.acm.org/doi/10.1145/3639474.3640084
Zhao XRai GPopoola S(2024)Ask or tell: An empirical study on modeling challenges from LabVIEW communityJournal of Computer Languages10.1016/j.cola.2024.10128480(101284)Online publication date: Aug-2024
https://doi.org/10.1016/j.cola.2024.101284
Kienzle JZschaler SBarnett WSağlam TBucchiarone AAbrahão SSyriani EKolovos DLethbridge TMustafiz SMeacham S(2024)Requirements for modelling tools for teachingSoftware and Systems Modeling10.1007/s10270-024-01192-yOnline publication date: 9-Jul-2024
https://doi.org/10.1007/s10270-024-01192-y
Bucchiarone AVázquez-Ingelmo ASchiavo GBarandoni SGarcía-Holgado AGarcía-Peñalvo FMosser SPierantonio AZschaler SBarnett W(2023)Towards Personalized Learning Paths to Empower Competence Development in Model Driven Engineering Through the ENCORE Platform2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)10.1109/MODELS-C59198.2023.00036(122-129)Online publication date: 1-Oct-2023
https://doi.org/10.1109/MODELS-C59198.2023.00036
Barnett WZschaler SBoronat AGarcia-Dominguez AKolovos D(2023)An Online Education Platform for Teaching MDE2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)10.1109/MODELS-C59198.2023.00035(114-121)Online publication date: 1-Oct-2023
https://doi.org/10.1109/MODELS-C59198.2023.00035
Sağlam TSchmid LHahner SBurger E(2023)How Students Plagiarize Modeling Assignments2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)10.1109/MODELS-C59198.2023.00032(98-101)Online publication date: 1-Oct-2023
https://doi.org/10.1109/MODELS-C59198.2023.00032
Strüber D(2023)The Complexity Paradox: An Analysis of Modeling Education Through the Lens of Complexity Science2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)10.1109/MODELS-C59198.2023.00031(94-97)Online publication date: 1-Oct-2023
https://doi.org/10.1109/MODELS-C59198.2023.00031
Chakraborty SLiebel G(2023)We do not understand what it says – studying student perceptions of software modellingEmpirical Software Engineering10.1007/s10664-023-10404-w28:6Online publication date: 9-Nov-2023
https://doi.org/10.1007/s10664-023-10404-w
Prasad PIyer S(2022)VeriSIM: A model-based learning pedagogy for fostering software design evaluation skills in computer science undergraduatesResearch and Practice in Technology Enhanced Learning10.1186/s41039-022-00192-017:1Online publication date: 24-May-2022
https://doi.org/10.1186/s41039-022-00192-0
Bach JBeugnard ACastaigne JMallet JMartínez SSegarra MKühn TSousa V(2022)An analysis of software design understanding & motivation of engineering studentsProceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings10.1145/3550356.3556506(123-130)Online publication date: 23-Oct-2022
https://dl.acm.org/doi/10.1145/3550356.3556506
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