{"title":"Small to big before massive: scaling up participatory learning analytics","authors":"D. Hickey, Tara Alana Kelley, Xinyi Shen","doi":"10.1145/2567574.2567626","DOIUrl":null,"url":null,"abstract":"This case study describes how course features and individual & social learning analytics were scaled up to support \"participatory\" learning. An existing online course was turned into a \"big open online course\" (BOOC) offered to hundreds. Compared to typical open courses, relatively high levels of persistence, individual & social engagement, and achievement were obtained. These results suggest that innovative learning analytics might best be scaled (a) incrementally, (b) using design-based research methods, (c) focusing on engagement in consequential & contextual knowledge, (d) using emerging situative assessment theories.","PeriodicalId":178564,"journal":{"name":"Proceedings of the Fourth International Conference on Learning Analytics And Knowledge","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fourth International Conference on Learning Analytics And Knowledge","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2567574.2567626","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
This case study describes how course features and individual & social learning analytics were scaled up to support "participatory" learning. An existing online course was turned into a "big open online course" (BOOC) offered to hundreds. Compared to typical open courses, relatively high levels of persistence, individual & social engagement, and achievement were obtained. These results suggest that innovative learning analytics might best be scaled (a) incrementally, (b) using design-based research methods, (c) focusing on engagement in consequential & contextual knowledge, (d) using emerging situative assessment theories.
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