Proceedings of the University of Fort Hare Teaching and Learning Conference (UFHTL 2023)

Student Assistants’ Perceived Leadership Impact of Artificial Intelligence on the Reading and Writing Landscape

Authors
Mosimaneotsile M. Mohlake1, *, Moshia Agnes Mohale1
1Centre for Academic Excellence (CAE), University of Limpopo (UL), Mankweng, South Africa
*Corresponding author. Email: mosimaneotsile.mohlake@ul.ac.za
Corresponding Author
Mosimaneotsile M. Mohlake
Available Online 19 June 2024.
DOI
10.2991/978-94-6463-439-6_11How to use a DOI?
Keywords
Language Consultants; Reading & Writing; Artificial Intelligence; Gen Z; Leadership
Abstract

This study explores learners’ adaptation to blended learning using a Artificial Intelligence (AI), with its concomitant rapid development, is most likely to heavily influence the order of business in Higher Education. Among other spheres, academic support will undoubtedly be impacted as students can easily present AI generated works as their own personally generated works. This paper researched on perceived leadership influence of AI on the reading and writing (R&W) support given by Language Consultants (LCs) at one university in South Africa. LCs are senior students appointed through the university’s Students Employment Policy working in the Reading and Writing Centre (RWC). These appointees, equipped through various training, assist the university community on R&W matters. As such, the LCs become leaders on R&W among their peers. However, given numerous available AI related word-based applications, and the fact that the majority of the potential RWC users are the Gen Zs, one wonders if these digital natives (i.e., Gen Zs) will continue using the services of RWC. With this in mind, LCs were asked in a leadership workshop to respond to questions on possible AI influence on their R&W leadership platform. This paper presents responses emanating from that engagement. In brief, an analysis of questionnaire responses of 44 respondents indicated the following: (a) with exception of a few, most LCs do not see AI as a threat that may make them redundant; (b) although appreciation of generative AI is acknowledged, LCs are note that much reskilling is needed on their part to take full advantage of AI abilities; and (c) most LCs lament the disabling nature with regards to creativity and critical thinking among students, and the promotion of laxity and plagiarism.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the University of Fort Hare Teaching and Learning Conference (UFHTL 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
19 June 2024
ISBN
10.2991/978-94-6463-439-6_11
ISSN
2667-128X
DOI
10.2991/978-94-6463-439-6_11How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Mosimaneotsile M. Mohlake
AU  - Moshia Agnes Mohale
PY  - 2024
DA  - 2024/06/19
TI  - Student Assistants’ Perceived Leadership Impact of Artificial Intelligence on the Reading and Writing Landscape
BT  - Proceedings of the University of Fort Hare Teaching and Learning Conference (UFHTL 2023)
PB  - Atlantis Press
SP  - 150
EP  - 162
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-439-6_11
DO  - 10.2991/978-94-6463-439-6_11
ID  - Mohlake2024
ER  -