Article with question mark in title? Answer likely "no." But, it's going to be some classrooms, for sure. An interesting use of computer vision and machine learning to generate metadata about student engagement. This could (should|will) be used for more than just lecturing, and what if students had access to their own data? This could be a powerful tool to support self-reflection on teaching and learning…
In a case of almost-perfect-timing, I presented to the iLab yesterday about some of my ideas for PhD work - looking for ways to help support self-reflection on teaching and learning. I talked about how student teachers use video of their teaching as a tool to learn teaching skills, and how video is basically an opaque blob of media that is extremely time-, labour- and cost-intensive to use for non-trivial projects. I then compared to some of the tools that enable some understanding of teaching and learning interactions in online learning, and that these types of tools are completely unavailable for face-to-face learning. These kinds of technologies can help, as long as they're not weaponized into a surveillance culture or student assessment tools.