CROWDLAAERS

Marginal Syllabus researchers have created a 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 is a publicly available and open-source service. Use CROWDLAAERS Search to explore any URL featuring public Hypothesis annotation.

CROWDLAAERS has also been applied to a curated set of online texts associated with the Marginal Syllabus, providing insight into 18 equity-oriented conversations.

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.

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.