Work

Student motion and it's potential as a classroom performance metric

Year: 2013

Type: other

Abstract: Can we predict students attention from a classroom video? We present our system for analysing movement of students in classroom during a lecture. We go into details about the technical side for analysing motion of people with limited visibility, and we present preliminary results which show how the neighbourhood and location in the classroom affect individual movement.

Source: Infoscience (Ecole Polytechnique Fédérale de Lausanne)

Authors: Mirko Raca, Roland Tormey, Pierre Dillenbourg

Institution: École Polytechnique Fédérale de Lausanne

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

Funder: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Award: Design patterns for the cross-fertilization formal and informal learning

OpenAlex ID: W1558598678

Cites: 16

Cited by: 7

Related to: 10