AI classroom observation
Classroom observation is one of the oldest tools in teacher development: someone walks into a classroom, takes notes, and debriefs with the teacher afterwards. The problem is not the tool — it is the frequency. One observation per term will not build professional capital. One observation per week will.
AI classroom observation changes that cadence. Teachers record their class from a phone, upload audio or video, and in minutes receive a structured pedagogical analysis: teacher-vs-student talk time, question types, moments of good practice, activity distribution. The report arrives on WhatsApp. The point is not only speed — it is that the information lands while the class is still fresh.
In Chile, platforms like TeachView work with frameworks like MBE-Chile (CPEIP), CLASS, Danielson and protocols custom to each institution. Universities, foundations and school networks (PUC, INACAP, Luksic Foundation, ChileMass, SLEP Tamarugal) integrate this kind of observation into their professional-development programs.
This is a placeholder landing page. The full version of this post — with cases, sample protocols, and impact studies — will publish in the coming weeks.