With Kinect, advanced learning analytics within most classrooms is a definite possibility; properly designed and integrated, data collection can move far beyond just gathering assessment data.
Imagine a swivel holding multiple Kinects and projectors mounted from a classroom ceiling. With Kinect’s player recognition capabilities, every individual’s participation throughout a lesson can be assessed by interpreting individual’s gestures. Then, this data can be assessed and stored to provide the teacher objective feedback regarding students’ facial cues and body language relevant to learning.
Assuredly, interpreting body language isn’t simple; much has to be considered before making broad generalizations. However, we can’t deny that a large percentage of communication is nonverbal; therefore, if an instructor has access to long-term data that reveals specific behavioral trends, direct intervention can be timely, direct, and accurate. Assuredly, this could serve as an outstanding RTI tool.
I certainly see a place for this in many learning environments, but keep in mind that this is 100% speculation on my part.
Check out this video below of Microsoft’s Lightspace to gain perspective and a glimpse of how this technology may apply to classrooms.
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