Learning path for the graphical representation of the courses

dc.contributor.authorBisht, Pooja
dc.contributor.mentorHinkelmann, Knut
dc.contributor.mentorSchlick, Sandra
dc.date.accessioned2024-12-03T19:06:26Z
dc.date.available2024-12-03T19:06:26Z
dc.date.issued2022
dc.description.abstractA learning pathway is now the primary notion of the educational process. The learning pathways (also known as learning paths, learning routes, learn-flows, or learning networks) are the paths that an individual learner takes via various educational activities. The purpose of this study is to investigate the challenges and needs of communicating the content, tasks, and learning objectives of a university course and putting them into a learning management system. Therefore, the fundamental parts for learning objectives for course modeling may be identified. The purpose of the literature review is to have a better understanding of key features of the learning path. Expert interviews will be conducted to get the more information regarding the representation of learning path. The artefact will be produced using the knowledge base's criteria. ADOxx the modelling tool used to create the learning path for the three modules .All this information utilized in the final phase, and triangulation a qualitative method is , to assess the learning path. Finally, the learning path will be mapped into a learning management system Moodle.
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/48647
dc.language.isoen
dc.publisherHochschule für Wirtschaft FHNW
dc.spatialOlten
dc.subject.ddc330 - Wirtschaft
dc.titleLearning path for the graphical representation of the courses
dc.type11 - Studentische Arbeit
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.StudentsWorkTypeMaster
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutMaster of Science
relation.isMentorOfPublication6898bec4-c71c-491e-b5f8-2b1cba9cfa00
relation.isMentorOfPublication038b519d-0e7a-49cf-bae9-55884d6a25d3
relation.isMentorOfPublication.latestForDiscovery6898bec4-c71c-491e-b5f8-2b1cba9cfa00
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