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Digital & Academic Literacies Project: AI in Education

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Digital and Academic Literacies
DIAL5111 Project 1
Lea Manikam ST10440629
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Question 1
Question 1.1
Seven prompts were generated through ChatGPT (OpenAI, 2024) for the assignment and are
shown below.
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Question 1.2
Question 1.2.1
Generative AI allows each individual to alter their desires therefore, they will be able to
comprehend and grasp concepts fully. Generative AI produces a variety of sources
expertly and promptly which therefore, individuals are accessed to different materials.
This skill is very helpful especially towards individuals who live in countries such as
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South Africa since the standard of educational material is restricted. South Africa also
experiences loadshedding, therefore individuals have a time restriction on researching
and gaining information on a network, by generative AI they will be able to access
information quickly. Generative AI is also beneficial to individuals who have disabilities
therefore, this allows a bias-free education. Generative AI produces a reciprocal
scheme and simulations therefore, these supply a unique examination catered for an
individual's abilities and knowledge. Generative AI is cost-effective because it produces
a variety of sources while reducing costs therefore, institutions will be able to access all
this information while paying less (OpenAI,2024).
Word count: 156 words
Question 1.2.2
Generative AI could produce information that is biased which therefore results in an
unequal amount of strengths and weaknesses for some students. In countries that
experience inequality such as South Africa, this could make issues worse between
parties. Generative AI has established issues regarding property entitlement and
individuals plagiarizing generative AI. Generative AI is usually not sufficient in being
clear with their results which, therefore, becomes challenging to comprehend how the
assessments and leaning sources are established. This insufficient transparency results
in an untrustworthy educational structure. Educational stages that are generative AI
could also gather personal information about individuals and therefore, establishes risks
regarding information security and privacy, especially in countries such as South Africa
because their protection restrictions are not sufficient. Generative AI producers results
very quickly and easy to use, therefore individuals will find it more beneficial to use
generative AI than to use paper resources or finding the resources by themselves,
which defeats the purpose of human features in education (OpenAI, 2024).
Word count: 163 words.
Question 1.2.3
ChatGPT is academically useful to students because it provides information that is
catered towards each individual therefore, students will be able to comprehend the
information that is being presented. ChatGPT has a quick response to the individuals
desire therefore, it is very helpful to students who do not always have access to Wi-Fi or
data when they need it. Students will be able to proceed in their work much faster.
ChatGPT does not require any payment for their services therefore, any and every
student will be able to use ChatGPT without paying anything. ChatGPT is not credible
because the information presented to students does not supply the sources it was
captured from. Therefore, students do not know if the information is credible since there
is no author who is established that can support the information being presented.
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ChatGPT is AI generated and students have and still are plagiarizing the information
that is presented from ChatGPT therefore, students will not have the aspect of
researching information for themselves, as well as students are more likely to have
issues regarding plagiarism (OpenAI, 2024).
Word count: 179 words.
Reference list for question 1
OpenAI. (2024). ChatGPT interaction on 16 April 2024 [Online forum comment].
Retrieved from https://chat.openai.com/
Question 2
My position on the topic is that the benefits of using generative AI in higher education
learning materials and assessments do not outweigh any ethical risks and challenges
associated with it, especially in South Africa.
The five resources I have found for my project are indicated below.
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A resource that supports my position (Ka Yuk Chan et al., 2023)
A resource that disagrees with my position (Baidoo-anu et al., 2023)
A resource that provides statistics or numerical information as evidence against
my position (Ghimire et al., 2024)
A resource that provides examples, case studies, surveys, or interviews as
evidence for my position (Michel-Villarreal et al., 2023)
A resource that provides an interesting alternative perspective/viewpoint on the
topic (Lee et al., 2024)
Baidoo-anu, D. and Owusu Ansah, L. 2023. Education in the Era of Generative Artificial
Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting
Teaching and Learning. Journal of AI, 7(1). [Online]. Available at:
https://dergipark.org.tr/en/pub/jai/issue/77844/1337500#article-authors-list
Ghimire, A. Prather, J. Edwards, J. 2024. Generative AI in Education: A Study of Educators’
Awareness, Sentiments, and Influencing Factors. Arxiv>cs>arXiv:2403.15586v1. [Online].
Available at: https://arxiv.org/abs/2403.15586v1
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Ka Yuk Chan, C. and Hu, W. 2023. Students’ voices on generative AI: perceptions, benefits, and
challenges in higher education. International Journal of Educational Technology in
Higher Education, 20(43). [Online]. Available at:
https://link.springer.com/article/10.1186/s41239-023-00411-8#Abs1
Lee, D. Arnold, M. Srivastava, A. Plastow, K. Strelan, P. Ploeckl, F. Lekkas, D. Palmer, E. 2024.
The Impact of Generative AI on Higher Education Learning and Teaching: A Study of
Educators’ Perspectives. Computers and Education: Artificial Intelligence. [Online].
Available at: https://www.sciencedirect.com/science/article/pii/S2666920X24000225
Michel-Villarreal, R. Vilalta-Perdomo, E. Salinas-Navarro, D. Theirry-Aguilera, R. Silvestre
Gerardou, F. 2023. Challenges and Opportunities of Generative AI for Higher Education
as Explained by ChatGPT. Journal of education sciences, 13(9). [Online]. Available at:
https://www.mdpi.com/2227-7102/13/9/856
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Question 3
The article that will be evaluated is the Challenges and Opportunities of Generative AI for higher Education as Explained by ChatGPT
(Michel-Villarreal et al., 2023).
Currency
This article was first published in August 2023 therefore, it is presently
applicable for the topic of the benefits of using generative AI in higher
education learning materials and assessments outweigh any ethical risks
and challenges associated with it, especially in South Africa. Generative AI
has only recently been established therefore; it is important to review if
there has been any notable progress or new research since the publication
date (Michel-Villarreal et al., 2023). The information in the article is current
and crucial for my research because it states the opportunities such as
“Research and Data Analysis" and “Support for Instructors and Teaching
Assistants”, the challenges such as “Academic Integrity” and “Quality
Control”, the barriers such as “Lack of Awareness” and “Ethical and Privacy
Concerns” and the priorities such as “Policy Development” and “Education
and Training”(Michel-Villarreal et al., 2023).
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Relevance
This article is relevant to the topic because it discusses the benefits and
challenges of generative AI in higher education, including the appropriate
way to use generative AI from an education aspect. This article supplies
specific information that contributes to the topic such as the appropriate
way to use generative AI in higher education (Michel-Villarreal et al.,2023) .
As stated in the article, the appropriate way to use generative AI in higher
education is “academic integrity”, “Data Privacy and Security”, “Bias
Awareness and Mitigation”, “Transparency and Disclosure”, “Continuous
Monitoring and Evaluation” and “Informed Consent and Opt-out
Options”(Michel-Villarreal et al., 2023). This article also provides an
interview with ChatGPT, showing how ChatGPT responded to questions
such as, what are the risks of using ChatGPT in higher education? What are
the benefits that ChatGPT has to offer to higher education? What aspects
can stop higher education from fully utilizing the benefits that ChatGPT has
to offer? What are the priorities that universities should uphold when
using generative AI? What should be qualified as the responsible way of
using AI in higher education? Do you think that higher education
institutions should ban students and teachers from using generative Ai?
(Michel-Villarreal et al., 2023).
Authority
The authors for this article are Rosario Michel-Villarreal, Eliseo VilaltaPerdomo, David Ernesto Salinas-Navarro, Ricardo Thierry-Aguilera and Flor
Silvestre Gerardou. Dr. Rosario Michel-Villarreal is a professor at the
University of Leeds, teaching sustainability. Rosario Michel-Villarreal is
skilled in food supply chains, sustainable operations management and
sustainability education. Rosario Michel-Villarreal has more than ten years
of training in higher education, which took place in the United Kingdom
and Mexico (Michel-Villarreal, 2024). Dr. Eliseo Vilalta-Perdomo teaches
operations and information management at Aston Business School in the
United Kingdom. Eliseo Vilalta-Perdomo's qualifications consist of a
doctorate in philosophy, MSc manufacturing systems and BSc Industrial
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Accuracy
Purpose
and systems engineering (Vilta-Perdomo, 2024). Dr. David Ernesto SalinasNavarro is professor at Aston Business School. David Navarro has
experience in community resilience and sustainability (Michel-Villarreal et
al., 2023). Dr. Ricardo Thierry-Aguilera qualifications consist of holding a
manufacturing system, an MBA and being an industrial and systems
engineer. Dr. Ricardo Thierry-Aguilera has over nine years of working in
industry working in the Autoparts sector (Thierry-Aguilera, 2024). Flor
Silvestre Gerardou is a professor at Leeds University, where she teaches
business management and marketing ( Gerardou, 2024).
This article is about Generative AI in higher education therefore, the
authors decided to interview ChatGPT which questions based on
generative AI in higher education, proving the point that generative AI can
be useful when used in the correct manner. This article is accurate because
the information provided is sourced from a generative AI, ChatGPT. This
article provides an interview with ChatGPT, showing the questions asked
and how ChatGPT answered. From the information that ChatGPT provided,
the answers were categorized in groups: opportunities, challenges, barriers
and priorities. The methods used in this article is appropriate for the topic
because it provides how ChatGPT answers questions and is helpful to see
what information follows under which categories (Michel-Villarreal et al.,
2023).
This article's purpose is to view if generative AI is beneficial for higher
education and what is the appropriate way to use generative AI in higher
education to avoid some of the established risks. This article is a theoretical
analysis because it examines the theory which is that generative AI benefits
higher education by evaluating the advantages and disadvantages and
what needs to be improved. ChatGPT can be biased because it only
provides a certain amount of information on a topic therefore, the
advantages can be more than the disadvantages of using generative AI in
higher education. This, therefore, can alter an author's perception on the
topic. The purpose of this article aligns with my research goal because it
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Overall
credibility
provides evidence on generative AI benefiting higher education (MichelVillarreal et al., 2023)
This article is credible since the authors are overqualified therefore, the
information they have provided is trustworthy. The article also provides
information from a generative AI, so the reader can view how ChatGPT
processes information and responds. The article also shows how the
researchers sourced the information from ChatGPT and used it to
categorize the information. The article has also recently been published
therefore; it is presently applicable to the topic (Michel-Villarreal et al.,
2023).
Word count: 809.
Reference list
Academia. 2024. Flor Silvestre Gerardou. [Online]. Available at
https://leedstrinity.academia.edu/FlorSilvestreGerardou
Aston University. 2024. Eliseo Vilalta Perdomo. [Online]. Available at
https://research.aston.ac.uk/en/persons/eliseo-vilalta-perdomo
Michel-Villarreal, R. Vilalta-Perdomo, E. Salinas-Navarro, D. Theirry-Aguilera, R. Silvestre Gerardou, F. 2023. Challenges and
Opportunities of Generative AI for Higher Education as Explained by ChatGPT. Journal of education sciences, 13(9). [Online].
Available at: https://www.mdpi.com/2227-7102/13/9/856
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School of Earth and Environment. 2024. Dr Rosario Michel-Villarreal. [Online]. Available at
http://environment.Leeds.ac.uk./see/staff/11563/dr-rosario-michel-villarreal
Tecnologico de Monterrey. 2024. Thierry-Aguilera, Ricardo. [Online]. Available at https://research.tec.mx/vivotec/display/PID_19135
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