Guidelines for managing and utilizing generative artificial intelligence writing tools

Main Article Content

Tulimevava Mufeti
https://orcid.org/0000-0003-4864-1387
Justina Amakali
https://orcid.org/0009-0005-6857-4814
Raymond Greenlaw
https://orcid.org/0000-0003-0690-2112

Abstract

Students use artificial intelligence (AI) generative writing tools to complete writing assignments, regardless of whether such tools are allowed or not. The quality of writing produced by AI tools is superior to that of many university students in terms of grammatical correctness, reduced spelling errors, increased average word length, expanded vocabulary, varied sentence structure, decreased word repetition, and increased punctuation usage. This re-search suggests ways in which AI generative writing tools can be used to improve student writing. It discusses how to make students better editors, so they can improve ChatGPT’s output or tailor it to specific needs. It also provides insights on how to make students better fact checkers, so that they can eliminate hallucinations that AI writing tools generate. These errors of fact make the AI writing tools far less valuable than they would be otherwise. Our work highlights the need to focus writing exercises across the curriculum more on editing and fact checking. We provide numerous insights into programs such as ChatGPT to help instructors without a technical background identify, understand, and process student writing generated by such programs in an improved fashion. We identify several tricks that students use to disguise writing produced by ChatGPT.

Article Details

How to Cite
Mufeti, T., Amakali, J., & Greenlaw, R. (2025). Guidelines for managing and utilizing generative artificial intelligence writing tools. Namibian Journal of Linguistics, Literature and Communication Studies, 19(1), 25–39. https://doi.org/10.59677/njllcs.v19i1.121
Section
Articles
Author Biographies

Tulimevava Mufeti, University of Namibia

Tulimevava Kaunapawa Mufeti is an Associate Professor in the Department of Computing, Mathematical and Statistical Sciences, School of Science, Faculty of Agriculture, Engineering and Natural Sciences of the University of Namibia. She has over 20 years’ experience in teaching Computing related courses at UNAM.

Justina Amakali, University of Namibia

Justina Latenda Amakali is an accomplished English educator with 23 years of experience in imparting knowledge in different areas of Applied Linguistics and Sociolinguistics. She holds a PhD in English Studies, an MPhil in Second Language Studies, a B.Hons. in Education, Training and Development, an Advanced Diploma in English Language Teaching, a Basic Ed. Teachers Diploma, and a Diploma in Proofreading and Copy-editing.  

Raymond Greenlaw

Raymond Greenlaw received an MS in Computer Science in 1986 and a PhD in CS in1988 from the University of Washington. Raymond retired as the Office of Naval Research Distinguished Chair in Cyber Security from the United States Naval Academy in 2016 to focus on his consulting and publishing businesses. He published 20 books in different areas of Computer Science. Raymond has 375+ invited talks and publications.

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