As for experiments in cultivating community via Hypothesis and social annotation, check out real-time analytics associated with the collaborative activity atop this page - click here.

For people interested in tracking analytics associated with the collaborative reading of this report, click here to activate the "crowd layers" dashboard. The dashboard will provide real-time analytics on total annotators, annotations, types of annotations, tags, and more.

120 annotations by 12 participants who conversed via 32 discursive threads over 20 days. Easily access analytics associated with the collaborative annotation activity of this experimental conversation using the "crowd layers" dashboard.

Collaborative annotation and conversation atop this article can be followed using the "crowd layers" dashboard - click here!

Welcome OpenLearning19 participants! Curious about who has joined this annotation conversation, and how they've annotated this article? You're very welcome to click here and use the "crowd layers" dashboard to access open analytics about who has annotated this article, what types of annotation have been authored, how the conversation grows over time, and more. Hope this is a useful complement to the conversation!

Are you curious about the collaborative annotation conversation atop this article? Click here and use the "crowd layers" dashboard to explore who has annotated this article, what types of annotation have been authored, how the conversation grows over time, and more. Hope this is a useful complement to the conversation.

Curious about the collaborative annotation conversation atop this research article? Click here and use the "crowd layers" dashboard to explore who has annotated this article, what types of annotation have been authored, how the conversation grows over time, and more. Hope this is a useful complement to the conversation.

Greetings everyone, I'm excited about CLX developing this connected learning guide! If you are participating in the feedback activities via Hypothesis annotation, and if you'd like to see analytics about the collaborative activity associated with this guide, please click here. This link will take you to the "crowd layers" dashboard, where you can view a summary of who is annotating, what types of annotations have been added, when annotations were written, if annotations are tagged, and more. I hope this is a useful tool that complements the broader feedback process.

Wow, very cool project. Hope you don't mind me jumping in here with a tool that this group might find useful. The "crowd layers" dashboard will provide real-time analytics related to the collaborative activity associated with this document. Click here to see who's annotating, how they're annotating, when, with what tags, and more. I hope this is useful!

Click here to view a summary of collaborative Hypothesis annotation associated with this ad.

Track collaborative activity associated with this conversation and document using the "crowd layers" dashboard.

For #ELI2019 participants (and others) who join this annotation conversation, use this link to track analytics associated with your collaborative activity using the "crowd layers" dashboard.

Check out CROWDLAAERS (https://crowdlaaers.org/) especially this post that describes how to access private group analytics.

Greetings NCTE working group! Curious about how your "crowd" of annotators adds a "layer" of conversation atop this document? The "crowd layers" public dashboard summarizes and visualizes annotations (by type), and provides additional information about text-participants, active days, tags, and more! To see collaborative activity associated with this document, click here.

Recommending CROWDLAAERS, as an additional visual data layer to augment our collective work here.

Follow this CROWDLAAERS ("crowd layers") link to access analytics about the collaborative annotation conversation associated with the chapter "Not Enough Voices."

Are you curious about the collaborative annotation activity occurring atop Engelbart's conceptual framework? Use the CROWDLAAERS ("crowd layers") dashboard to view real-time analytics associated with text-participants, total annotations and replies, collaborative threads, active days, and tags. This link will always show updated learning analytics associated with this conversation as it grows over time - enjoy!

I'm excited about the JLS annotation conversation throughout December, 2018! As this is a public conversation, I invite participants to track collaborative activity using the tool CROWDLAAERS ("crowd layers"), a public dashboard designed to report learning analytics associated with group – or ​crowd​ – discourse ​layers​ added via Hypothesis open web annotation to online content. Click this link to view real-time analytics specific to this document and conversation, including active participants, a calendar of activity, conversation threads, and tags. I hope text-participants find this tool useful!