{"title":"Visualising Learning Pathways in MOOCs","authors":"Karsten Øster Lundqvist, S. Warburton","doi":"10.1109/lwmoocs47620.2019.8939659","DOIUrl":null,"url":null,"abstract":"It is difficult to get an understanding of learner behaviour within MOOCs. Commonly used metrics are not well suited for this. This paper describes a visualisation tool based on modified Sankey diagrams to explore learner paths through edX MOOCs. The tool visualises learners’ progression through the learning material and their interaction with discussion forums. These diagrams can be filtered based on user demographies and behaviours. Automated clustering of users based on behaviour metrics is available to provide suggestions of different learner behaviours. Statistical tests are also included to allow hypothesis exploration by researchers. The tool was developed using a devops development method to improve the usability of the tool for MOOC learning designers and researchers.","PeriodicalId":336528,"journal":{"name":"2019 IEEE Learning With MOOCS (LWMOOCS)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Learning With MOOCS (LWMOOCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/lwmoocs47620.2019.8939659","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
It is difficult to get an understanding of learner behaviour within MOOCs. Commonly used metrics are not well suited for this. This paper describes a visualisation tool based on modified Sankey diagrams to explore learner paths through edX MOOCs. The tool visualises learners’ progression through the learning material and their interaction with discussion forums. These diagrams can be filtered based on user demographies and behaviours. Automated clustering of users based on behaviour metrics is available to provide suggestions of different learner behaviours. Statistical tests are also included to allow hypothesis exploration by researchers. The tool was developed using a devops development method to improve the usability of the tool for MOOC learning designers and researchers.