An attempt to cheat using GPT-4: findings, discussion and recommendations for academic staff and students

Authors

DOI:

https://doi.org/10.62512/etlhe.11

Keywords:

ChatGPT, GPT-4, AI, Artificial Intelligence, Turnitin, academic integrity, LLM

Abstract

This manuscript explores the use and detection of ChatGPT artificial intelligence (AI) content, in the academic setting.  The study involves faculty and student partnership at a Higher Education Provider (HEP), examining the implications of the chatbot's use in academic writing and its potential impact on educational practice.

We employ a dialogical approach in this Scholarship of Teaching and Learning (SoTL) study, mirroring the ChatGPT conversational style.  A former student uses ChatGPT-4 to rewrite an essay, and the generated content is evaluated by free-to-use AI checking tools, Turnitin, and the module tutor.

Our findings illustrate that while ChatGPT-4 could generate a passable assignment, it lacks depth, criticality, and contextualisation.  Further, AI checking tools, while useful, exhibit limitations. However, the generated content could serve as a starting point for students, suggesting a possible shift in the educational paradigm with AI's integration.

The manuscript also underscores the importance of understanding and navigating AI responsibly, calling for clear guidelines for AI use and improved methods of detecting AI generated content.  While AI has emerged as an efficient tool for generating academic content, our study highlights the necessity of human-centric learning and critical thinking skills in academia, emphasising that AI should not replace personal research.  We also discuss potential changes to assessment methods in response to AI advancements, recommending strategies for both academic staff and students.

Our findings have implications for educational institutions worldwide as AI tools become increasingly accessible, raising questions about academic integrity, pedagogical strategies, and the evolving relationship between technology and education.

Author Biographies

Nick Mapletoft, University Centre Quayside (UCQ)

Dr Nick Mapletoft DProf PFHEA MBA MA Ed TLLS PGDip BSc (Hons) Dip HE CMgr FAUA FCMI FInstLM FIoEE FInstAM FRSPH FRSA is the Principal & CEO at the University Centre Quayside, a private market challenging boutique provider of higher and further education.  He is responsible for setting and achieving the provider's vision and strategic goals, for finance, and he is the institutional research lead.

 

Nick Mapletoft holds a professional doctorate from the University of Sunderland, and graduate and post graduate qualifications in computing, leadership and management, business and enterprise, and education. His post-doctoral work centres on work-based learning (WBL) approaches and pedagogies, SoTL, AI, widening participation and the WBL university. 

Andy Price, University Centre Quayside (UCQ)

Andy Price has over twenty years’ experience in higher education and is presently Programme Leader for the CMDA at UCQ. He has held various academic and leadership roles elsewhere in the sector including Head of Enterprise Development and Education at Teesside University and Assistant Director of the Institute of Digital Innovation. Andy is a long-standing champion of work-based learning and has led significant curriculum development in this area

Kevin Smith, University Centre Quayside (UCQ)

I am currently a module lead on the CMDA Professional Development programme at University Centre Quayside. My academic interests lie around curriculum design and work related learning.

 

Olga Mapletoft, University Centre Quayside (UCQ)

I am a Director and the Company Secretary, and a member of the Senior Leadership Team, at UCQ.

My research interests include:

  • Qualitative Social Research
  • Quantitative Social Research
  • Sociobiology
  • Adult Education
  • Curriculum Theory
  • Educational Theory

Michelle Elliott

I am the Vice Principal and a member of the Senior Leadership Team at UCQ.

 

 

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Published

2024-02-29

How to Cite

Mapletoft, N., Price, A., Smith, K., Mapletoft, O., & Elliott, M. (2024). An attempt to cheat using GPT-4: findings, discussion and recommendations for academic staff and students. Enhancing Teaching and Learning in Higher Education, 1, 52–73. https://doi.org/10.62512/etlhe.11