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dc.contributor.authorChirumamilla, Aparna
dc.contributor.authorSindre, Guttorm
dc.date.accessioned2020-02-07T10:21:35Z
dc.date.available2020-02-07T10:21:35Z
dc.date.created2019-09-12T23:39:38Z
dc.date.issued2019
dc.identifier.isbn978-3-030-29374-1
dc.identifier.urihttp://hdl.handle.net/11250/2640303
dc.description.abstractWhile a number of advantages have been discussed on e-learning/e-assessment tools, little research has been reported on programming courses. Today, the different types of questions have been used in exams based on course type, e.g., Text-based questions, mathematical questions, and programming questions. All these question types require supporting plug-ins for e-assessments. In this study, we provide our practical experience on programming exams in Inspera Assessment and Blackboard Learn, especially focusing on Parsons problems (drag-and-drop questions) and code writing questions. Our findings indicate that currently, tools have basic support for programming exams, and also there is a low-level integration between the tools. However, the adaptability of any exam system could depend on the interoperability between the platforms and external plugins. Hence, more improvements can be made with the implementation of e-assessments in digital ecosystems while it requires a lot of changes internally and outside institutions. In the paper, we will explain how a digital ecosystem within e-assessment could improve assessments and how it supports diverse needs of programming exams.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Publishing Companynb_NO
dc.relation.ispartofDigital Transformation for a Sustainable Society in the 21st Century. 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, Trondheim, Norway, September 18–20, 2019, Proceedings
dc.titleE-Assessment in Programming Courses: Towards a Digital Ecosystem Supporting Diverse Needs?nb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.identifier.doihttps://doi.org/10.1007/978-3-030-29374-1_47
dc.identifier.cristin1724272
dc.description.localcodeThis is a post-peer-review, pre-copyedit version of an article. Locked until 14.8.2020 due to copyright restrictions. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-29374-1_47nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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