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Supporting Learning Analytics in Educational Games in consideration of Qualifications-Based Learning

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dc.contributor.authorSrbecky, Ramona
dc.contributor.authorFrangenberg, Marcus
dc.contributor.authorWallenborn, Benjamin
dc.contributor.authorThen, Matthias
dc.contributor.authorPerez-Colado, Iván José
dc.contributor.authorAlonso-Fernandez, Cristina
dc.contributor.authorFernandez-Manjon, Baltasar
dc.contributor.authorHemmje, Matthias
dc.contributor.editorKienle, Andrea
dc.contributor.editorHarrer, Andreas
dc.contributor.editorHaake, Joerg M.
dc.contributor.editorLingnau, Andreas
dc.date.accessioned2021-08-25T08:21:47Z
dc.date.available2021-08-25T08:21:47Z
dc.date.issued2021
dc.description.abstractComputer and video games have established themselves in society and are increasingly finding their way into learning with so-called Educational Games (EduGame). EduGames often provides a fundamental analysis of learners' learning results, but there is currently no existing approach to map the learning results automatically to digital standardized machine-readable Qualifications. In addition, different learning providers tend to use different approaches to describe Qualifications, often in the form of free text. Therefore, it is currently impossible to compare the reached Competencies and Qualifications (CQ) across different learning providers or only manually with high effort. In this paper, a prototypical implementation for automated mapping of learners' learning results in EduGames to standardized CQ will be introduced. The paper presents the conceptual work, the subsequent prototypical implementation with the chosen Analytics Environment, Game Engine, Learning Management System, and the evaluation results.en
dc.identifier.isbn978-3-88579-710-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/37009
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDELFI 2021
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-316
dc.subjectQualifications-Based Learning
dc.subjectLearning Analytics
dc.subjectGame-Based Learning
dc.subjectUnity Engine
dc.subjectEducational Games
dc.subjectRAGE Analytics
dc.subjectMoodle
dc.subjectQualification Based Learning Model
dc.subjectLearning Management System
dc.titleSupporting Learning Analytics in Educational Games in consideration of Qualifications-Based Learningen
dc.typeText/Conference Paper
gi.citation.endPage192
gi.citation.publisherPlaceBonn
gi.citation.startPage187
gi.conference.date13.-15. September 2021
gi.conference.locationOnline
gi.conference.sessiontitleLearning Analytics

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DELFI 2021