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dc.contributor.authorKerth, Alexander
dc.contributor.authorSchuhknecht, Felix
dc.contributor.authorPensel, Lukas
dc.contributor.authorHenneberg, Justus
dc.contributor.editorKönig-Ries, Birgitta
dc.contributor.editorScherzinger, Stefanie
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorVossen, Gottfried
dc.date.accessioned2023-02-23T13:59:57Z
dc.date.available2023-02-23T13:59:57Z
dc.date.issued2023
dc.identifier.isbn978-3-88579-725-8
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/40342
dc.description.abstractSuccessfully going through a course of study is a lengthy and challenging task. To obtain a degree, many obstacles must be overcome and the right decisions must be made at the right point in time, often overwhelming students. To reduce the amount of dropouts, the goal of study advisors is to reach out to endangered students in time and to provide them help and guidance. To support the work of study advisors, who typically have to monitor a large amount of students simultaneously, we present in this demonstration an easy-to-use graphical tool that (a) allows the advisor to visualize all relevant information of study data in a responsive graph in order to overview the current study situation. Additional to visualization, our tool provides (b) a forecasting functionality based on pre-trained models and (c) a warning feature to identify endangered students early on. In the on-site demonstration, the audience will be able to step into the role of a study advisor and use our tool and all of its features to identify and guide struggling students within anonymized real-world study data.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBTW 2023
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-331
dc.subjectStudy monitoring
dc.subjectStudy Prediction
dc.subjectVisualization
dc.subjectMachine Learning
dc.subjectGraph Databases
dc.titleBetter Safe than Sorry: Visualizing, Predicting, and Successfully Guiding Courses of Studyen
dc.typeText/Conference Paper
dc.identifier.doi10.18420/BTW2023-36
gi.conference.locationDresden, Germany
gi.conference.date06.-10. März 2023
gi.citation.startPage665
gi.citation.endPage671
gi.citation.publisherPlaceBonn


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