Teaching Scientific Writing in the Era of ChatGPT

Abstract

Generative AI (gen-AI) tools such as ChatGPT have very quickly become widely accessible as well as embedded into a wide range of existing software. The early iterations of these technologies so far have produced impressive outcomes in terms of their ability to produce generic writing, leading to the question - will the teaching of writing skills become obsolete? A number of studies show that there are niche areas within engineering that gen-AI tools have not garnered enough specificity in information to produce written reports that are technically accurate enough for students to pass off as their own work. In spite of this, research shows the growing trend of students using gen-AI tools to complete their assignments without understanding the shortcomings of the technology when applied to their engineering discipline, particularly problematic with first-year engineering students. The Integrated Engineering Programme (IEP) was introduced to University College London in 2013/14 as a means of embedding transversal skills-based education into the curriculum. This presentation aims to outline the steps taken on the IEP to maintain the standards of writing competence and how gen-AI tools have shaped how we teach scientific writing and best practice when embedding their use into the curriculum.



Author Information
Mauryn C Nweke, University College London, United Kingdom
Maria Florez-Martin, University College London, United Kingdom
Samuel Ackerley, University College London, United Kingdom
Fiona Truscott, University College London, United Kingdom

Paper Information
Conference: PCE2024
Stream: Teaching Experiences

This paper is part of the PCE2024 Conference Proceedings (View)
Full Paper
View / Download the full paper in a new tab/window


To cite this article:
Nweke M., Florez-Martin M., Ackerley S., & Truscott F. (2024) Teaching Scientific Writing in the Era of ChatGPT ISSN: 2758-0962 The Paris Conference on Education 2024: Official Conference Proceedings (pp. 483-496) https://doi.org/10.22492/issn.2758-0962.2024.37
To link to this article: https://doi.org/10.22492/issn.2758-0962.2024.37


Comments & Feedback

Place a comment using your LinkedIn profile

Comments

Share on activity feed

Powered by WP LinkPress

Share this Research

Posted by James Alexander Gordon