Scholar

Emerging Lie and Cheating Detection Technologies in Education

By: Jo Ann Oravec  

Lie and cheating detection technologies are playing increasingly prominent roles in education, especially in the advent of online instruction. This presentation will examine the diverse gamut of these technologies in education, along with a discussion of how (or whether) questions about the accuracy and reliability of the devices involved are being handled. The presentation also explores how lie, cheating, and plagiarism detection in educational contexts intersects with larger societal discourses concerning institutional deceptions and political honesty. Even though uses of some forms of lie detection are restricted in particular contexts, these technologies play “diverse roles in government departments, police investigations, dispute resolutions, post-probation programmes, surveillance, private investigation, family conflicts, media campaigns, in films and television, and a range of other contexts” (Balmer, 2014, p. 116). Researchers are also introducing brain scanning and artificial intelligence (AI) analyses as modes for detecting lies as well as for related behavioral modification; notions of “self-lie detection” have been investigated by researchers (Echarte, 2019). This presentation explores how open discussion of technologically-mediated lies and cheating detection strategies can complement and extend societal discourses in truth and character development. References: Balmer, A. (2014). Telling tales: some episodes from the multiple lives of the polygraph machine. In Knowledge, technology, and law (pp. 116-130). Routledge. Echarte, L. E. (2019). Self-lie detection: New challenges for moral neuroenhancement. In Psychiatry and Neuroscience Update (pp. 43-52). Springer. Oravec, J. A. (2018). Secrecy in educational practices: Enacting nested black boxes in cheating and deception detection systems. Secrecy and Society, 1(2), 5-14.

Deception, Lying, Cheating, Ethics, Plagiarism, Honor Codes, Character Development, Lie Detection
Technologies in Society
Paper Presentation in a Themed Session



Dr. Jo Ann Oravec

Professor, Information Technology and Supply Chain Management, University of Wisconsin-Whitewater