On security and privacy of quick response system in classroom teaching

Ying CHEN, Yunhui ZHUANG*, Haoran XIE, Fu Lee WANG

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review


The Quick Response System (QRS) consists of a 2-D machinereadable QR Codes and a mobile-friendly user interface. The QR Codes can be encoded to different types of information. Because of QR code’s high information density and robustness, it has gained popularity in many applications across various industries. Recently, some universities and colleges have adopted QR Code into classroom teaching, by taking advantage of its instant feedback from students, instructors may have immediate understanding of whether students have understood a concept. The QR code can be used for polling, tutorials, and quizzes. However, it is crucial to protect against personal data from disclosure and to prove student identity, especially in the event of an in-class QR Code-based quiz. In this paper, we explore some potential security breaches and privacy concerns for QR codes in classroom teaching, and propose some design requirements with respect to the QR code itself. We also suggest to apply a grouping-proof protocol to authenticate all students identity before starting a quiz. This paper sheds some lights on future research directions in QR code design and processing.

Original languageEnglish
Title of host publicationEmerging Technologies for Education : First International Symposium, SETE 2016 held in conjunction with ICWL 2016, Rome, Italy, October 26–29, 2016, revised selected papers
EditorsTing-Ting WU, Rosella GENNARI, Yueh-Min HUANG, Haoran XIE, Yiwei CAO
PublisherSpringer International Publishing AG
Number of pages7
ISBN (Electronic)9783319528366
ISBN (Print)9783319528359
Publication statusPublished - 2017
Externally publishedYes
Event1st International Symposium on Emerging Technologies for Education - Sapienza University, Rome, Italy
Duration: 26 Oct 201629 Oct 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10108 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference1st International Symposium on Emerging Technologies for Education
Abbreviated titleSETE 2016


  • Classroom teaching
  • QR code
  • Security and privacy


Dive into the research topics of 'On security and privacy of quick response system in classroom teaching'. Together they form a unique fingerprint.

Cite this