The Development of Automatic Image Marking System towards Better Assessment Monitoring for Computer Science Programming Students

Aeman Masbah, Zhongyu Lou, Qiang Xu

Research output: Contribution to journalArticle


The implementation of technology to support both instructor and student enables both to perform better in the educational context. Hence, automatic markers can be an improvement over human markers because their results are reliable and repeatable. This paper presents a framework of an automated marking application (iMarking®) assisting both instructors and students through the execution of java language system towards better assessment monitoring for computer science programming students. The prototype of the proposed system has been evaluated and result was documented as a recommendation for future researches.
Original languageEnglish
Article number4
Pages (from-to)44-54
Number of pages11
JournalEgyptian Computer Science Journal
Issue number2
Publication statusPublished - May 2018


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