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A Conceptual Framework for Detecting Cheating in Online and Take-Home Exams

  • Published:2017-09-21 Issue:4 Volume:15 Page:370-391
  • ISSN:1540-4595
  • Container-title:Decision Sciences Journal of Innovative Education
  • language:en
  • Short-container-title:Decision Sciences Journal of Innovative Education

Author:

D'Souza Kelwyn A.1ORCID,Siegfeldt Denise V.2

Affiliation:

1. School of Business; Hampton University; East Queen Street Hampton VA 23668

2. Florida Institute of Technology, Nathan M. Bisk College of Business; Department of Extended Studies; Hampton Roads Site Fort Eustis VA 23604

Publisher

Wiley

Subject

Decision Sciences (miscellaneous),Education,Business, Management and Accounting (miscellaneous)

Reference35 articles.

1. Academic integrity in web-based distance education;Barron;Tech Trends Linking Research and Practice to Improve Learning,2005

2. Using the business fraud triangle to predict academic dishonesty among business students;Becker;Academy of Educational Leadership Journal,2011

3. Detection of cheating on multiple-choice tests by using error, similarity, analysis;Bellezza;Teaching of Psychology,1989

4. Cheating, student authentication and proctoring in online programs;Berkey;New England Board of Higher Education,2015

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