The rapid pivot to online learning due to the COVID19 pandemic is seeing a significant shift in the mix of assessment modalities. Due to the needs of physical distancing, scalability and the state of our technological infrastructure, this has led to decisions to greatly reduce the use of large scale invigilated assessments such as practical and written examinations. As a consequence we are also seeing a large increase in the proportion of online non-supervised assessments to replace them. The shift in the mix of assessment provides different opportunities for cheating, especially the use of commercial contract cheating sites. While a wholistic approach to academic integrity is advocated it is likely gaps in the toolkit of support and detection measures will emerge. In the past text matching tools have served us well however such tools are of little use in detecting custom written work produced via contract cheating activity. Technology tools that would enable automated detection are not yet in widespread use, and there is limited evidence so far about effectiveness and accuracy. The job of addressing contract cheating largely falls on front line academic staff – but can they actually detect contract cheating?
This session will explore research conducted into the practical steps that can be taken in up-skilling academic staff in detecting and addressing contract cheating in unsupervised assessment tasks.
Phill is the Associate Director of the Centre for Research in Assessment and Digital Learning at Deakin University, Australia.
Detecting and addressing contract cheating in online assessment
1. deakin.edu.au/cradle @phillipdawson
Detecting and addressing
contract cheating in online
assessment
Associate Professor Phillip (Phill) Dawson
Centre for Research in Assessment and
Digital Learning (CRADLE)
Deakin University, Melbourne, Australia
Deakin University CRICOS Provider Code: 00113B
2. Many thanks to
A/Prof Wendy Sutherland-Smith
Rebecca Awdry …and the anonymous
participants in our studies
and workshops!
…academic integrity
researchers and experts
around the world…
3.
4. Some declarations before we go any further…
• I support AfL & AI
• I think cheating is a
symptom of broader
problems
• I think universities have
a responsibility try to
prevent and detect
cheating
• I receive research
funding from ed tech
companies (including
Turnitin), but these are
my opinions, not theirs
• My mum helped me
contract cheat in year
four
6. 1. Contract cheating is a
big problem.
Three things to take from this presentation
2. We need to balance
academic integrity and
assessment security
3. You can learn to detect
contract cheating
7. 1. Contract cheating is a big problem.
-Students don’t find it, it finds them.
-A significant proportion of students
contract cheat.
-Only a tiny fraction of contract
cheating gets detected.
8.
9.
10. …research paper…
…hate stats…
…due tomorrow…
Amigud, A. (2020). Cheaters on Twitter: an analysis of engagement approaches of contract cheating services.
Studies in Higher Education, 45(3), 692-705. doi:10.1080/03075079.2018.1564258
15. Banning essays won’t save us.
Authentic assessment won’t save us.
Contract cheating can occur with any task type.
(Ellis et al, 2019)
Ellis, C., van Haeringen, K., Harper, R., Bretag, T., Zucker, I., McBride, S., . . . Saddiqui, S. (2019). Does authentic assessment assure academic integrity? Evidence from contract cheating data. Higher Education
Research & Development, 1-16. doi:10.1080/07294360.2019.1680956
16. Rapid turnaround times won’t save us.
Contract cheaters can probably do it quicker than
students.
(Wallace & Newton, 2014)
Wallace, M. J., & Newton, P. M. (2014). Turnaround time and market capacity in contract cheating. Educational Studies, 40(2), 233-236. doi:10.1080/03055698.2014.889597
17. Exams won’t save us.
‘Third party cheating’ is likely more common in
exams than assignments.
‘Third party cheating’ is likely detected less often in
exams than assignments.
(Harper et al, 2020)
Harper, R., Bretag, T., & Rundle, K. (2020). Detecting contract cheating: examining the role of assessment type. Higher Education Research & Development, 1-16. doi:10.1080/07294360.2020.1724899
18. Remote proctoring might help, but vendors won’t let
me test it out.
Treat their claims with caution.
(Dawson, forthcoming)
Dawson, P. (forthcoming). Defending Assessment Security in a Digital World: Preventing E-Cheating and Supporting Academic Integrity in Higher Education. Routledge.
19. 2. We need to balance
-promoting academic integrity
-assuring assessment security
20. Fundamental values of academic integrity
• Honesty
• Trust
• Fairness
• Respect
• Responsibility
• Courage
https://academicintegrity.org/fundamental-values/
21.
22.
23.
24.
25. Addressing contract cheating requires…
Academic Integrity
• Trusting
• Educative
• Proactive
Think ‘crime prevention’
Assessment security
• Detecting
• Punitive
• Proactive or reactive
‘policing’ or ‘surveillance’
It’s a balance, not a dichotomy
26. Talk with students.
Contract cheating sites lie and even blackmail.
(Rowland et al, 2018; Yorke, in press)
Rowland, S., Slade, C., Wong, K.-S., & Whiting, B. (2018). ‘Just turn to us’: the persuasive features of contract cheating websites. Assessment & Evaluation in Higher Education, 43(4), 652-665.
doi:10.1080/02602938.2017.1391948
Yorke, J., Sefcik, L., & Veeran-Colton, T. (in press). Contract cheating and blackmail: a risky business? Studies in Higher Education. doi:10.1080/03075079.2020.1730313
27. Talk with students.
“You don’t always get what you pay for.”
(Sutherland-Smith & Dullaghan)
Sutherland-Smith, W., & Dullaghan, K. (2019). You don’t always get what you pay for: User experiences of engaging with contract cheating sites. Assessment & Evaluation in Higher Education, 44(8), 1148-1162.
doi:10.1080/02602938.2019.1576028
28. 0 5 10 15 20 25 30 35 40
Short turnaround time
Heavily weighted task
Series of small graded tasks
Research, analysis and thinking skills
No ‘right’ answer
Integrate knowledge/skills vital to programme
Relevant professional skills
Major part of nested task
Small part of nested task
In-class task
Personalised and unique
Viva
Reflection on practicum
Listen to students.
Students’ perceptions of the likelihood of contract cheating (%)
Bretag, T., Harper, R., Burton, M., Ellis, C., Newton, P., van Haeringen, K.,
et al. (2019). Contract cheating and assessment design: exploring the
relationship. Assessment & Evaluation in Higher Education, 44(5), 676-691.
29. Assessment security:
“measures taken to harden assessment against
attempts to cheat; this includes approaches to
detect and evidence attempts to cheat, as well as
approaches to make cheating more difficult.”
(Dawson, forthcoming)
Dawson, P. (forthcoming). Defending Assessment Security in a Digital World: Preventing E-Cheating and Supporting Academic Integrity in Higher Education. Routledge.
30. 3. You can learn to
detect contract cheating
-Indicators
-Training
-Software
31.
32. Can markers detect contract cheating?
(Dawson & Sutherland-Smith, 2018)
Can training improve detection rates?
(Dawson & Sutherland-Smith, 2019)
Can software improve detection rates?
(Dawson, Sutherland-Smith & Ricksen, in press)
Dawson, P., & Sutherland-Smith, W. (2018). Can markers detect contract cheating? Results from a pilot study. Assessment & Evaluation in Higher Education, 43(2), 286-293. doi:10.1080/02602938.2017.1336746
Dawson, P., & Sutherland-Smith, W. (2019). Can training improve marker accuracy at detecting contract cheating? A multi-disciplinary pre-post study. Assessment & Evaluation in Higher Education, 44(5), 715-725.
doi:10.1080/02602938.2018.1531109
Dawson, P., Sutherland-Smith, W., & Ricksen, M. (in press, published online 2019). Can software improve marker accuracy at detecting contract cheating? A pilot study of the Turnitin authorship investigate alpha.
Assessment & Evaluation in Higher Education, 1-10. doi:10.1080/02602938.2019.1662884
33. 0 20 40 60 80 100
Trained to look for it
Looking for it
Not looking for it
Accuracy at detecting contract cheating (%)
e.g. Lines 2016; Medway et al 2018
Lines, L. (2016). Ghostwriters guaranteeing grades?
The quality of online ghostwriting services available to
tertiary students in Australia. Teaching in Higher
Education, 1-26. doi:10.1080/13562517.2016.1198759
Medway, D., Roper, S., & Gillooly, L. (2018). Contract
cheating in UK higher education: A covert investigation
of essay mills. British Educational Research Journal,
44(3), 393-418. doi:10.1002/berj.3335
34. 0 20 40 60 80 100
Trained to look for it
Looking for it
Not looking for it
False positive rate (%)
e.g. Lines 2016; Medway et al 2018
Lines, L. (2016). Ghostwriters guaranteeing grades?
The quality of online ghostwriting services available to
tertiary students in Australia. Teaching in Higher
Education, 1-26. doi:10.1080/13562517.2016.1198759
Medway, D., Roper, S., & Gillooly, L. (2018). Contract
cheating in UK higher education: A covert investigation
of essay mills. British Educational Research Journal,
44(3), 393-418. doi:10.1002/berj.3335
35.
36. Trying to look for contract cheating is a good first
step.
Most of the indicators of contract cheating were
task-specific.
Dawson, P., & Sutherland-Smith, W. (2018). Can markers detect contract cheating? Results from a pilot study. Assessment & Evaluation in Higher Education, 43(2), 286-293. doi:10.1080/02602938.2017.1336746
Dawson, P., & Sutherland-Smith, W. (2019). Can training improve marker accuracy at detecting contract cheating? A multi-disciplinary pre-post study. Assessment & Evaluation in Higher Education, 44(5), 715-725.
doi:10.1080/02602938.2018.1531109
37. Potential generic indicators of contract cheating
reflection done poorly
metadata
unusual mistakes
not using materials from class
reads as something by a generalist
strange formatting
does not address question
wrong task type
38.
39. Training works if you have
access to contract cheating
assignments
Dawson, P., & Sutherland-Smith, W. (2019). Can training improve marker accuracy at detecting contract cheating? A multi-disciplinary pre-post study. Assessment & Evaluation in Higher Education, 44(5), 715-725.
doi:10.1080/02602938.2018.1531109
40. Viva had 100% detection rate
(Needs replication before we
publish but it’s a good sign)
Tomorrow!
41.
42. ‘Cheat-proofing’ every act of assessment is probably
impossible and definitely a bad idea.
Focus on securing those acts of assessment that
matter to the degree program outcomes.
Focus on developing academic integrity in the
others.
44. 1. Contract cheating is
a big problem.
-Students don’t find it,
it finds them.
-Only a tiny fraction of
contract cheating gets
detected
Three things to take from this presentation
2. We need to balance
-promoting academic
integrity
-assuring assessment
security
3. You can learn to
detect contract cheating
-Indicators
-Training
-SoftwareSlides and resources at:
http://philldawson.com/ta-cheating
Indian army candidates sitting exam nude to stop cheating
https://time.com/4246170/india-army-strip-search/
https://time.com/3914087/china-drones-cheating-exams/
An unmanned aerial vehicle (UAV), or drone, used to detect radio signals to prevent student from cheating, hovers over an exam site during the first examination of the 2015 National College Entrance Exam, also known as Gaokao, at Heluo Middle School in Luoyang city, central China's Henan province, 7 June 2015.
Dong Lifei/Imaginechina
Probability that a representative student would give a ‘likely’ or ‘very likely’ response. n>14k
Pause here for chat
95% CI between looking for it untrained and trained to look for it: .11 to .37. Significant.
Total n=840
95% CI between looking for it untrained and trained to look for it: -.03 to .11. Not significant.