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Enabling effective synoptic assessment via algorithmic constitution of review panels

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dc.contributor.author De Silva, ND
dc.contributor.author Weerawarana, SM
dc.contributor.author Perera, AS
dc.date.accessioned 2014-06-19T12:16:38Z
dc.date.available 2014-06-19T12:16:38Z
dc.date.issued 2014-06-19
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/10048
dc.description.abstract This 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.language.iso en en_US
dc.source.uri http://www.tale-conference.org/tale2013/ en_US
dc.title Enabling effective synoptic assessment via algorithmic constitution of review panels en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Computer Science and Engineering en_US
dc.identifier.year 2013 en_US
dc.identifier.conference IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2013 en_US
dc.identifier.place Kuta, Indonesia en_US
dc.identifier.pgnos pp. 776-781 en_US
dc.identifier.email shehan@cse.mrt.ac.lk en_US


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