University of Colorado Denver researchers have created this public dashboard for ​Capturing and Reporting Open Web Data for Learning Analytics, Annotation, and Education Researchers ​(CROWDLAAERS, pronounced “crowd layers”). As a real-time dashboard relevant to collaborative processes, CROWDLAAERS reports learning analytics associated with group – or ​crowd​ – discourse ​layers​ added via Hypothesis open web annotation to online content.

CROWDLAAERS provides learning analytics about active participants, temporal activity (active days), collaborative discourse (threads), and also Hypothesis tags. Groups of individual annotations may be sorted by date, contributor, annotation, tags, and level (or the position of an annotation reply in a thread). Select any annotation to read the full content within CROWDLAAERS or in context of the source document. Open data captured and reported by CROWDLAAERS currently displays learning analytics associated with the 200 most recent annotations.

Also, other researchers interested in studying OWA as learning analytics can adapt the CROWDLAAERS dashboard to their inquiry. CROWDLAAERS demonstrates how open web annotation data can be transparently leveraged as learning analytics, and how open processes can foster participatory and accountable data collection and analysis procedures. If you are interested in learning more about the technical features of CROWDLAAERS, please contact our research team.
Features
Search: CROWDLAAERS is a publicly available and open-source service. Visit CROWDLAAERS Home and search by any URL featuring Hypothesis annotation to explore learning analytics and collaborative activity. Clicking the Share button generates a link which can be used to access the CROWDLAAERS analytics of a specific site through a shareable URL.

Projects: CROWDLAAERS has also been applied to curated sets of online texts associated with various open education projects. Explore how this dashboard turns open annotation data into insightful learning analytics: