This document discusses strategies for promoting academic integrity in an age where generative AI and contract cheating present new challenges. It notes the ability of AI to mimic human writing but lack intelligence. While AI could be misused to complete assessments, the document advocates designing assessments that engage students and allow them to demonstrate core skills. It suggests focusing on the learning process rather than just the final product, and preparing staff and students to appropriately use AI for learning. The document discusses various responsible ways students could use tools like ChatGPT to clarify ideas but not replace themselves for assessments.
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Promoting Academic Integrity in the Age of Generative AI and Contract Cheating: Strategies and Future Directions - Adelphi University - 26 April 2023
1. Promoting Academic Integrity
in the Age of Generative AI and
Contract Cheating: Strategies
and Future Directions
Dr Thomas Lancaster
Imperial College London UK
Seminar for Adelphi University Academic
Integrity Awareness Week
2. Dr Thomas Lancaster
(Computer Scientist at Imperial College London, UK)
http://www.thomaslancaster.co.uk
Twitter: @DrLancaster
Selected Research Areas
Contract cheating
(someone other than a student
completes assessments)
Artificial intelligence
(something other than a student
completes assessments)
Clarke, R. and Lancaster, T., 2006, June. Eliminating
the successor to plagiarism? Identifying the usage
of contract cheating sites. Proceedings of 2nd
International Plagiarism Conference. Northumbria
Learning Press.
5. The original source is no longer accessible
but this is archived at
https://citeseerx.ist.psu.edu/document?repid
=rep1&type=pdf&doi=a949423f6c0358eda3f
919025c7b203955510501
The closest real paper is:
Culwin, F. & Lancaster, T. (2001). Plagiarism,
Prevention, Deterrence and Detection
[Online]. Available at
http://www.ilt.ac.uk/resources/
CulwinLancaster.htm
ChatGPT Reference:
Lancaster, T., & Culwin, F. (2004). Plagiarism,
Prevention, Deterrence & Detection.
International Journal on the Teaching of
University Education.
This is a “made up” source, but with some
elements of truth
7. • Powerful technology – in the hands of a trained user
and prompt engineer
• Mimics structures and patterns – not intelligence
• Technology is improving all the time
• Can be misused
• Can get information wrong
ChatGPT and Generative AI
8. What’s Possible (Power User)
Train a Large Language
Model (LLM) on your own
data
Set your LLM a goal using
smart agents so this runs
autonomously
Install an LLM on your
smart watch
12. Academic Integrity (V2)
honesty
respect responsibility courage
fairness
trust
A commitment to values
https://academicintegrity.org/resources/fundamental-values
13. To Think About…
• How should we approach academic integrity
in an age when contract cheating is possible
and when generative AI can be misused?
• How do we best prepare staff and students
for the future world where AI use is common
across society?
15. FAIR AI Use in Assessment
Foundational
Can work
without AI and
can demonstrate
core skills
Appreciative
Able to evaluate
the quality of
information
produced
Illuminative
Uses AI to learn,
suggest ideas,
clarify, and
improve
Replaceable
Directs AI to
complete
assessments,
and can evaluate
the output
16. Assessment Design
• Will this assessment method engage the
student?
• Will the student be able to demonstrate
core and advanced learning?
• How can AI be used legitimately for this
assessment?
• How can AI be misused for this assessment?
• Does the student have the core knowledge
required to complete this assessment?
17. How do we ensure that
the student has not
replaced themselves?
(unless authorised to do so)
18. How far can we focus on the
process not the product
19. What do we do if the
(mis)use of AI is
suspected?
20. How do we ensure that everyone
shares the same understanding?
23. “How can we ensure that students
learn when using these prompts?”
1. Clear learning objectives
2. Progressive difficulty
3. Active engagement
4. Guidance and support
5. Real-world application
6. Peer collaboration
7. Assessment and feedback
8. Reflection and self-assessment
9. Adaptability
10.Supplemental resources
30. “In 2075, universities transcended physical
boundaries, merging into a global, virtual
knowledge hub. Students, donning neuro-
interfaces, attended immersive lectures
alongside AI tutors. Customized learning paths
maximized individual potential, fostering
collaboration and innovation. Diverse minds
united, transcending disciplines and cultures,
birthing a new era of groundbreaking
discoveries and human enlightenment.”
“Write a short 50 word story about an exciting future
involving education and universities” ChatGPT Pro
“colorful picture of a university in an exciting future”
Stable Diffusion
31. What is our vision for
academic integrity in
the AI led world?
32. Connect With Dr Thomas Lancaster
My Email: thomas@thomaslancaster.co.uk
My Website: http://thomaslancaster.co.uk
My Blog: http://thomaslancaster.co.uk/blog
My LinkedIn: https://uk.linkedin.com/in/thomaslancaster
My Twitter: @DrLancaster
Slide Archive: http://www.slideshare.net/ThomasLancaster
Machine generated image