{"title":"Students' Perception on Data Sources from Outside Virtual Learning Environment for Learning Analytics","authors":"Andharini D. Cahyani, L. Marshall, M. Forshaw","doi":"10.1145/3369255.3369288","DOIUrl":null,"url":null,"abstract":"Every time a student interacts during their learning, they leave behind a digital footprint. The process of using this data to improve learning and teaching is called as Learning Analytics. Researches in this field grow and are more popular, specifically that usage of data outside the Virtual Learning Environment. Although often proposed data in previous research use students' personal data, their perception of the usage of those data is still underexplored. This study investigates higher education students' understanding of how useful the proposed data might be helpful as their input. Our study reveals that each degree-level student response differently regarding the usefulness each data sources. Therefore, we need to consider students' perception when we design personal learning analytics for students, so the app can fit to their preference and needs.","PeriodicalId":161426,"journal":{"name":"Proceedings of the 11th International Conference on Education Technology and Computers","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 11th International Conference on Education Technology and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3369255.3369288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Every time a student interacts during their learning, they leave behind a digital footprint. The process of using this data to improve learning and teaching is called as Learning Analytics. Researches in this field grow and are more popular, specifically that usage of data outside the Virtual Learning Environment. Although often proposed data in previous research use students' personal data, their perception of the usage of those data is still underexplored. This study investigates higher education students' understanding of how useful the proposed data might be helpful as their input. Our study reveals that each degree-level student response differently regarding the usefulness each data sources. Therefore, we need to consider students' perception when we design personal learning analytics for students, so the app can fit to their preference and needs.