Abstract

Open digital badges are Web-enabled tokens of learning and accomplishment. Unlike traditional grades, certificates, and transcripts, badges include specific claims about learning accomplishments and detailed evidence in support of those claims. Considering the richness of data associated with Open Badges, it is reasonable to expect a very powerful predictive element at the intersection of Open Badges and Learning Analytics. This could have substantial implications for recommending and exposing students to a variety of curricular and co-curricular pathways utilizing data sources far more nuanced than grades and achievement tests. Therefore, this workshop was aimed at: i) examining the potentials of Open Badges (including the associated data and resources) to provide new and potentially unprecedented data for analysis; ii) examining the kinds of Learning Analytics methods and techniques that could be suitable for gaining valuable insights from and/or making predictions based on the evidence (data and resources) associated with badges, and iii) connecting Open Badges communities, aiming to allow for the exchange of experiences and learning from different cultures and communities.

Full Text
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