Experience with AOAB methodology in mobile computing module

Rula Al-Azawi, Aladdin Ayesh

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    Abstract

    This paper describes a case study of how Agent Oriented Agile Based (AOAB) development methodology was implemented in mobile computing module to create game as a part of the module assessment requirements. Games can be used in higher education in many ways to increase students participation, enable variation in how lectures are taught and to increase students interest when they create their own game. We provide a new game development methodology and integrated with mobile computing module. The experience described in this paper is based on the feedback from the module staff member, students feedback, final student report and finally module evaluation report by students. The evaluation shows that the students who used AOAB methodology provide a better result rather than groups who used Agile game development methodology in game creation. Finally, we describe the benefit of using game in higher education and how we could enhance students progress in their study.

    Original languageEnglish
    Title of host publication2015 International Conference on Open Source Software Computing, OSSCOM 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Number of pages6
    ISBN (Electronic)9781467374651
    DOIs
    Publication statusPublished - 11 Jan 2016
    EventInternational Conference on Open Source Software Computing, OSSCOM 2015 - Amman, Jordan
    Duration: 10 Sep 201513 Sep 2015

    Publication series

    Name2015 International Conference on Open Source Software Computing, OSSCOM 2015

    Conference

    ConferenceInternational Conference on Open Source Software Computing, OSSCOM 2015
    Country/TerritoryJordan
    CityAmman
    Period10/09/1513/09/15

    Keywords

    • Adaptive development model
    • Agent Oriented Agile Based (AOAB)
    • Agile methodology
    • Game development methodology
    • Multi Agent Software Engineering (MaSE)
    • Predictive development model

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