NDLI: Low-cost audience polling using computer vision

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Low-cost audience polling using computer vision

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Low-cost audience polling using computer vision

Content Provider	ACM Digital Library
Author	Cross, Andrew Thies, William Cutrell, Edward
Abstract	Electronic response systems known as "clickers" have demonstrated educational benefits in well-resourced classrooms, but remain out-of-reach for most schools due to their prohibitive cost. We propose a new, low-cost technique that utilizes computer vision for real-time polling of a classroom. Our approach allows teachers to ask a multiple-choice question. Students respond by holding up a qCard: a sheet of paper that contains a printed code, similar to a QR code, encoding their student IDs. Students indicate their answers (A, B, C or D) by holding the card in one of four orientations. Using a laptop and an off-the-shelf webcam, our software automatically recognizes and aggregates the students' responses and displays them to the teacher. We built this system and performed initial trials in secondary schools in Bangalore, India. In a 25-student classroom, our system offers 99.8% recognition accuracy, captures 97% of responses within 10 seconds, and costs 15 times less than existing electronic solutions.
Starting Page	45
Ending Page	54
Page Count	10
File Format	PDF
ISBN	9781450315807
DOI	10.1145/2380116.2380124
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-10-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Low-cost Education Audience polling Ict4d Electronic response system Clickers
Content Type	Text
Resource Type	Article

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