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dc.contributor.authorHassan, Muhammad Mustafa
dc.contributor.authorQureshi, Adnan N
dc.contributor.authorMoreno, Andrés
dc.contributor.authorTukiainen, Markku
dc.contributor.editor-
dc.date.accessioned2019-07-16T09:12:46Z
dc.date.available2019-07-16T09:12:46Z
dc.date.issued2019
dc.identifier.urihttps://erepo.uef.fi/handle/123456789/7681
dc.description.abstractIn today's world of competitive educational institutions, it is imperative that the final product, the students, are of the optimal quality as required by the professional industry. Conventionally, the progress and quality of the students were only assessed in end-of-term results, or at a few standpoints, which neglected the possibility of improving the weak areas. This shortcoming of the conventional educational system resulted in a high rejection/dropout of the potentially capable students. In this work, the authors propose adaptation of a novel content delivery, formative assessment, smart analytics and instant feedback mechanism pipelined into the educational process. The proposed model can potentially circumvent the pitfalls and significantly reduce the errors of assessment, grading, and the delivery of feedback. The proposed approach concurrently assures the quality of students at each formative step within a semester's time, thus improving the quality of intake of the subsequent standpoint. The approach has been evaluated on one subject, Functional English, within a four year Computer Science Baccalaureate program. The results of the outcomes can be plausibly extended and applied onto other educational contexts.
dc.language.isoenglanti
dc.publisherIEEE
dc.relation.ispartof2018 International Conference on Smart Communications and Networking (SmartNets)
dc.relation.urihttp://dx.doi.org/10.1109/SMARTNETS.2018.8707435
dc.rightsAll rights reserved
dc.titleSmart Learning Analytics and Frequent Formative Assessments to Improve Student Retention
dc.description.versionfinal draft
dc.contributor.departmentSchool of Computing, activities
uef.solecris.id58892189en
dc.type.publicationArtikkelit ja abstraktit tieteellisissä konferenssijulkaisuissa
dc.rights.accessrights© IEEE
dc.relation.doi10.1109/SMARTNETS.2018.8707435
dc.description.reviewstatuspeerReviewed
dc.format.pagerange1-6
dc.relation.isbn978-1-5386-9202-8
dc.rights.accesslevelopenAccess
dc.type.okmA4
uef.solecris.openaccessEi


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