This document discusses challenges and solutions related to academic dishonesty. The main challenges are how to investigate instances of dishonesty, how to prevent and detect it, and how to appropriately remediate it. Several solutions are proposed, including using technology like proctoring software, plagiarism detection tools, and authorship verification. Educational approaches are also recommended, such as clearly communicating misconduct policies, designing assessments to minimize opportunities for cheating, and combining behavioral and developmental sanctions for students who violate policies. The TESLA project aims to develop technologies like facial recognition, voice recognition, and keystroke dynamics to assist with identity verification and authorship analysis.

1. Project Number: 688520 – TESLA – H2020-ICT-2015/H2020-ICT-2015 Agreement Number: 688520
ACADEMIC DISHONESTY: CHALLENGES & SOLUTIONS
José Janssen
June 26th 2018

2. 1
Challenges
1. How to investigate
2. How to prevent - detect
3. How to remediate

3. 2
1. Investigate
Method / accuracy
Definition / comparison
?

4. 3
Poll

5. 4
Solution
Method
• Designing temptations (Kanat-Maymon, Benjamin, Stavsky,
Shoshani & Roth, 2015).
Classifications
• work in progress (McClung & Schneider, 2015)
• adapt to own needs/purposes (example below)?

6. 5
Effectiveness
Right mix
2. Prevent / Detect

7. 6
Solution
Technology
1. Secure environments (e-proctoring, browser lock..)
2. Identity verification (authentication)
3. Authorship verification
4. …
Educational design:
1. Institutional level: code of honour, academic skills
training
2. Course level: clarify misconduct (e.g. collaboration) /
discuss and promote academic integrity
3. Assessment level: “fair and meaningful”, task design
4. Assessor skills (Rogerson, 2017)

8. 7
Task design: tips & tricks
Adapt tasks to include/address actual topics
Protocol: declaration of own work
Include mandatory components (articles, personal interview)
Recent references only
Annotated bibliography (summary, location, relevance)

9. 8
TESLA
Authorship verification
• Face recognition
• Voice recognition
• Keystroke dynamics
(typing style)
Identity verification
• Plagiarism detection
• Forensic analysis
(writing style)

10. 9

11. 10
Academic dishonesty
Contract cheating
Impersonation
Plagiarism
• Face recognition
• Voice recognition
• Keystroke dynamics
• Forensic analysis
• Plagiarism detection software

12. 11
3. Remediate
Various degrees of seriousness
Proof vs. suspicion
Sanction vs. educate

13. 12
Solution
Combine behavioural (punishment) and developmental sanctions.
Developmental activities: help raise students awareness, writing a
journal, develop ethical decision-making (capacity to resolve dilemmas).
Clarify
Engage in dialogue
Adapt penalties

14. 13
Solution
Rogerson, A. M. (2017). Detecting contract cheating in
essay and report submissions: process, patterns, clues
and conversations. International Journal for
Educational Integrity, 13(1), 10

15. 14http://tesla-project.eu
Image: 'Question Finger 1' http://www.flickr.com/photos/146303603@N04/32373605563 Found on flickrcc.net

16. 15
BIBLIOGRAPHY
• Baron, J., & Crooks, S. M. (2005). Academic integrity in web based distance education. TechTrends, 49(2), 40–45.
• Grijalva, T. C., Nowell, C., & Kerkvliet, J. (2006). Academic honesty and online courses. College Student Journal, 40(1).
• Jones, D. L. R. (2011). Academic dishonesty: are more students cheating? Business Communication Quarterly, 74(2), 141–150.
• Jurdi, R., Hage, H.S. & Chow, H.P.H. (2012). What behaviours do students consider academically dishonest? Findings from a survey of
Canadian undergraduate students. Soc Psychol Educ (2012) 15, 1-23.. https://doi.org/10.1007/s11218-011-9166-y
• Kanat-Maymon, Y., Benjamin, M., Stavsky, A., Shoshani, A., & Roth, G. (2015). The role of basic need fulfilment in academic dishonesty: A
self-determination theory perspective. Contemporary Educational Psychology, 43, 1–9. http://doi.org/10.1016/J.CEDPSYCH.2015.08.002
• McClung, E. L., & Schneider, J. K. (2015). A Concept Synthesis of Academically Dishonest Behaviors. Journal of Academic Ethics, 13(1), 1–
11. http://doi.org/10.1007/s10805-014-9222-2
• Rogerson, A. M. (2017). Detecting contract cheating in essay and report submissions: process, patterns, clues and conversations.
International Journal for Educational Integrity, 13(1), 10. http://doi.org/10.1007/s40979-017-0021-6
• Stephens, J. M. (2015). Creating Cultures of Integrity: A Multi-level Intervention Model for Promoting Academic Honesty. In T. A. Bretag
(Ed.), Handbook of Academic Integrity (pp. 1–10). Singapore: Springer Singapore. http://doi.org/10.1007/978-981-287-079-7_13-1
• de Volder, M., Moerkerke, G., & de Roode, F. (2007). Een 5D strategie tegen werkstukfraude. Heerlen.