Learning Analytics and Assessment in Serious Games

Jannicke Baalsrud Hauge, Francesco Bellotti, Baltasar Fernández-Manjón, Rob Nadolski

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

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    Serious Games (SG) offer a high potential to support and improve learning in engineering educational and training settings. But even if SG success cases do exit, it is still to be proven how this approach can be scaled up to be applied into large domains and how to simplify and streamline SG integration in the curriculum. A key aspect for SG acceptance and application is the assessment of knowledge and skills acquired the use of the SGa. New techniques such as learning analytics and stealth assessment can contribute in this effort to better assess the students educational gain and become a reference for new evidence-based models in education and training. This special session has been proposed by the GALA (Games and Learning Alliance) Network of Excellence about Serious Games, funded by EU ICT Seven Framework Programme. The objective is to collect, analyse and discuss the latest outcomes on the topic of learning analytics and assessment in SGs in engineering education and related fields (e.g. STEM+).
    Original languageEnglish
    Title of host publicationUSB handed out at the conference: 978-1-4799-3190-3
    ISBN (Electronic)978-1-4799-3190-3
    Publication statusPublished - 2014
    EventIEEE Global Engineering Education Conference 2014: Educon 2014 - Military Museum and Cultural Center, Harbiye, Istanbul, Turkey
    Duration: 3 Apr 20145 Apr 2014
    Conference number: 5th


    ConferenceIEEE Global Engineering Education Conference 2014
    Abbreviated titleEducon 2014
    Internet address


    • serious games
    • GALA


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