Enabling effective synoptic assessment via algorithmic constitution of review panels

dc.contributor.authorDe Silva, ND
dc.contributor.authorWeerawarana, SM
dc.contributor.authorPerera, AS
dc.date.accessioned2014-06-19T12:16:38Z
dc.date.available2014-06-19T12:16:38Z
dc.date.issued2014-06-19
dc.description.abstractThis paper presents an algorithmic tool that was used to create panels of experts for the synoptic assessment of a software engineering project course that is targeted towards fostering innovation and creativity in software engineering students. Synoptic assessments succeed with the ability to formulate expert evaluation panels. Yet many industry experts are busy professionals, and hence, the process of constituting appropriately balanced evaluation panels for project demonstrations is a significant challenge. The discussion includes the outcomes of using the algorithm to automate the panel composition and scheduling process for synoptic assessments of project demonstrations for a batch of 100 students following the Bachelor of Engineering (Honors) degree program in the Department of Computer Science and Engineering at the University of Moratuwa in Sri Lanka. We describe the challenges we faced and our approach towards addressing the issues as well as our encouraging successes.en_US
dc.identifier.conferenceIEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2013en_US
dc.identifier.departmentDepartment of Computer Science and Engineeringen_US
dc.identifier.emailshehan@cse.mrt.ac.lken_US
dc.identifier.facultyEngineeringen_US
dc.identifier.pgnospp. 776-781en_US
dc.identifier.placeKuta, Indonesiaen_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/10048
dc.identifier.year2013en_US
dc.language.isoenen_US
dc.source.urihttp://www.tale-conference.org/tale2013/en_US
dc.titleEnabling effective synoptic assessment via algorithmic constitution of review panelsen_US
dc.typeConference-Abstracten_US

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