Analysis of writing data for cheating detection in e-testing

Yu Yoshimura, Takehiro Furuta, Takahito Tomoto, Takako Akakura

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

e-Testing is effective in relieving time and space limitations for examinations. However, a drawback is that user authentication employs only login credentials, making cheating easy. We examine variations in personal writing data in e-testing with the aim of detecting cheating. We assume two behaviors: Answering questions by oneself and replicating others' answers. We used the sub-stroke method for data analysis, which allowed confirmation of differences in the change over time in writing speed and pen pressure, and differences in average pen angle and direction.

Original languageEnglish
Pages431-436
Number of pages6
Publication statusPublished - 1 Jan 2013
Event21st International Conference on Computers in Education, ICCE 2013 - Bali, Indonesia
Duration: 18 Nov 201322 Nov 2013

Conference

Conference21st International Conference on Computers in Education, ICCE 2013
CountryIndonesia
CityBali
Period18/11/1322/11/13

Keywords

  • E-testing
  • Individual authentication
  • Sub-stroke method
  • Unsteady behavior

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  • Cite this

    Yoshimura, Y., Furuta, T., Tomoto, T., & Akakura, T. (2013). Analysis of writing data for cheating detection in e-testing. 431-436. Paper presented at 21st International Conference on Computers in Education, ICCE 2013, Bali, Indonesia.