Framework to Enhance Teaching and Learning in System Analysis and Unified Modelling Language

Juan Carlos Munoz, Michael A. Cowling, James R. Birt

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Abstract

Systems Analysis modelling is considered foundational for Information and Communication Technology (ICT) students, with introductory and advanced units included in nearly all ICT and computer science degrees. Yet despite this, novice systems analysts (learners) find modelling and systems thinking quite difficult to learn and master. This makes the process of teaching the fundamentals frustrating and time intensive. This paper will discuss the foundational problems that learners face when learning Systems Analysis modelling. Through a systematic literature review, a framework will be proposed based on the key problems that novice learners experience. In this proposed framework, a sequence of activities has been developed to facilitate understanding of the requirements, solutions and incremental modelling. An example is provided illustrating how the framework could be used to incorporate visualization and gaming elements into a Systems Analysis classroom; therefore, improving motivation and learning. Through this work, a greater understanding of the approach to teaching modelling within the computer science classroom will be provided, as well as a framework to guide future teaching activities.

Original languageEnglish
Title of host publicationProceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018
EditorsMark J.W. Lee, Sasha Nikolic, Gary K.W. Wong, Jun Shen, Montserrat Ros, Leon C. U. Lei, Neelakantam Venkatarayalu
PublisherIEEE Computer Society
Pages91-98
Number of pages8
ISBN (Electronic)9781538665220
DOIs
Publication statusPublished - 4 Dec 2018
EventIEEE TALE 2018: Engineering Next-Generation Learning - Novotel Northbeach, Wollongong, Australia
Duration: 4 Dec 20187 Dec 2018
https://www.tale2018.org/

Conference

ConferenceIEEE TALE 2018
CountryAustralia
CityWollongong
Period4/12/187/12/18
OtherTALE is the IEEE Education Society’s flagship Asia-Pacific (IEEE Region 10) conference, catering to researchers and practitioners with an interest in science, technology, engineering and mathematics (STEM) education – with a particular emphasis on electrical and electronic engineering, telecommunications, computer engineering, computer science and allied disciplines – as well as those interested in the innovative use of digital technologies for learning, teaching and assessment in any discipline. The target audience of the conference is diverse and includes those working in the higher education, vocational education and training (VET), K-12, corporate, government, and healthcare sectors.


The TALE series was first established in 2012 to complement the IEEE Education Society's other, very popular Frontiers in Education and EDUCON conferences, which serve North America (IEEE Regions 1-7) and Europe, the Middle East and Africa (IEEE Region 8), respectively. Following highly successful conferences in Hong Kong (2012 and 2017); Bali, Indonesia (2013); Wellington, New Zealand (2014); Zhuhai, China (2015); and Bangkok, Thailand (2016), TALE 2018 will be held in Wollongong on the spectacular South Coast of New South Wales, Australia. It will be hosted by University of Wollongong and Charles Sturt University.


The theme of this year's conference is Engineering Next-Generation Learning.
Internet address

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Unified Modeling Language
systems analysis
Teaching
Systems analysis
computer science
Computer science
communication technology
information technology
learning
process of teaching
classroom
Communication
visualization
Learning systems
Visualization
Students
experience
student

Cite this

Munoz, J. C., Cowling, M. A., & Birt, J. R. (2018). Framework to Enhance Teaching and Learning in System Analysis and Unified Modelling Language. In M. J. W. Lee, S. Nikolic, G. K. W. Wong, J. Shen, M. Ros, L. C. U. Lei, & N. Venkatarayalu (Eds.), Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018 (pp. 91-98). [8615284] IEEE Computer Society. https://doi.org/10.1109/TALE.2018.8615284, https://doi.org/10.1109/TALE.2018.8615284
Munoz, Juan Carlos ; Cowling, Michael A. ; Birt, James R. / Framework to Enhance Teaching and Learning in System Analysis and Unified Modelling Language. Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018. editor / Mark J.W. Lee ; Sasha Nikolic ; Gary K.W. Wong ; Jun Shen ; Montserrat Ros ; Leon C. U. Lei ; Neelakantam Venkatarayalu. IEEE Computer Society, 2018. pp. 91-98
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abstract = "Systems Analysis modelling is considered foundational for Information and Communication Technology (ICT) students, with introductory and advanced units included in nearly all ICT and computer science degrees. Yet despite this, novice systems analysts (learners) find modelling and systems thinking quite difficult to learn and master. This makes the process of teaching the fundamentals frustrating and time intensive. This paper will discuss the foundational problems that learners face when learning Systems Analysis modelling. Through a systematic literature review, a framework will be proposed based on the key problems that novice learners experience. In this proposed framework, a sequence of activities has been developed to facilitate understanding of the requirements, solutions and incremental modelling. An example is provided illustrating how the framework could be used to incorporate visualization and gaming elements into a Systems Analysis classroom; therefore, improving motivation and learning. Through this work, a greater understanding of the approach to teaching modelling within the computer science classroom will be provided, as well as a framework to guide future teaching activities.",
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Munoz, JC, Cowling, MA & Birt, JR 2018, Framework to Enhance Teaching and Learning in System Analysis and Unified Modelling Language. in MJW Lee, S Nikolic, GKW Wong, J Shen, M Ros, LCU Lei & N Venkatarayalu (eds), Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018., 8615284, IEEE Computer Society, pp. 91-98, IEEE TALE 2018, Wollongong, Australia, 4/12/18. https://doi.org/10.1109/TALE.2018.8615284, https://doi.org/10.1109/TALE.2018.8615284

Framework to Enhance Teaching and Learning in System Analysis and Unified Modelling Language. / Munoz, Juan Carlos; Cowling, Michael A.; Birt, James R.

Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018. ed. / Mark J.W. Lee; Sasha Nikolic; Gary K.W. Wong; Jun Shen; Montserrat Ros; Leon C. U. Lei; Neelakantam Venkatarayalu. IEEE Computer Society, 2018. p. 91-98 8615284.

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

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Munoz JC, Cowling MA, Birt JR. Framework to Enhance Teaching and Learning in System Analysis and Unified Modelling Language. In Lee MJW, Nikolic S, Wong GKW, Shen J, Ros M, Lei LCU, Venkatarayalu N, editors, Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018. IEEE Computer Society. 2018. p. 91-98. 8615284 https://doi.org/10.1109/TALE.2018.8615284, https://doi.org/10.1109/TALE.2018.8615284