I wonder how the subject area and activity design relates to how students engage in collaborative discourse (joint attention, interaction, and creation).

That's interesting to know about. I would like to learn more about what "happiness" indices entail and how they relate to learning performance.

That's really cool. I like the idea of students and teachers (the knowledge community) being able to see how their individual and group contributions relate and interrelate to the social discourse. I wonder if there might also be ways to visualize how asynchronous and synchronous discussion patterns fit together, since so much also happens in live discussion and these dynamics are often not captured or represented.

That is interesting. As I was reading the introduction, I began to think about a potential role for AI to look at a collection of student annotations of an article (for example) and offer insight to the class about the kinds of topics and questions that might warrant further discussion in a live setting. As an educator, I tend to do this work myself, but I often wonder whether I might be missing out on key topics or questions because of when I read the annotations (possibly too early in the discussion) and how I read them (some annotations might be contained within comments for instance or emojis might be used to express agreement and so on).