  We propose a multiple instance learning approach to content-based retrieval
of classroom video for the purpose of supporting human assessing the learning
environment. The key element of our approach is a mapping between the semantic
concepts of the assessment system and features of the video that can be
measured using techniques from the fields of computer vision and speech
analysis. We report on a formative experiment in content-based video retrieval
involving trained experts in the Classroom Assessment Scoring System, a widely
used framework for assessment and improvement of learning environments. The
results of this experiment suggest that our approach has potential application
to productivity enhancement in assessment and to broader retrieval tasks.
