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dc.contributor.authorJu, An
dc.contributor.authorFu, Xiao
dc.contributor.authorZeitsoff, Joshua
dc.contributor.authorDimitriadis Damoulis, Ioannis 
dc.contributor.authorFox, Armando
dc.contributor.authorHemani, Adnan
dc.date.accessioned2018-09-05T12:34:10Z
dc.date.available2018-09-05T12:34:10Z
dc.date.issued2018
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/31401
dc.description.abstractTeam projects are essential in modern software engineering education. Students collaboratively build a piece of software that addresses practical issues, through which they practice both technical skills and soft skills, in a setting that resembles the real working environment. However, team projects are complex. Previous studies have explored various design spaces, such as team formation [1], project selection [2], team coaching [3], and student evaluation [4]; while others have reported experience regarding the design, organization, teaching, and evolution of a project-based software engineering curriculum [5][6][7][8]. The complexity of team projects explains why we rarely see large-scale software engineering courses with a team project. In this paper, we try to address the scalability issue of software engineering projects and lay out our blueprint for enabling the learning of software engineering with a team project via MOOCs.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses
dc.titleScalable Team-Based Software Engineering Education via Automated Systemses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.title.eventIEEE Learning with MOOCs V (LWMOOCS 2018)es
dc.description.projectMinisterio de Economía, Industria y Competitividad (Projects TIN2014-53199-C3-2-R and TIN2017-85179-C3- 2-R)
dc.description.projectJunta de Castilla y León (programa de apoyo a proyectos de investigación - Ref. VA082U16)
dc.description.projectMinisterio de Educación, Cultura y Deporte (PRX17/00410)
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/669074
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/731685


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