ArticlePDF Available

Abstract

The rapid advancement of technology has led to the integration of ChatGPT, an artificial intelligence (AI)-powered chatbot, in various sectors, including education. This research aims to explore the perceptions of educators and students on the use of ChatGPT in education during the digital era. This study adopted a qualitative research approach, using in-depth interviews to gather data. A purposive sampling technique was used to select ten educators and 15 students from different academic institutions in Krabi, Thailand. The data collected was analysed using content analysis and NVivo. The findings revealed that educators and students generally have a positive perception of using ChatGPT in education. The chatbot was perceived to be a helpful tool for providing immediate feedback, answering questions, and providing support to students. Educators noted that ChatGPT could reduce their workload by answering routine questions and enabling them to focus on higher-order tasks. However, the findings also showed some concerns regarding the use of ChatGPT in education. Participants were worried about the accuracy of information provided by the chatbot and the potential loss of personal interaction with teachers. The need for privacy and data security was also raised as a significant concern. The results of this study could help educators and policymakers make informed decisions about using ChatGPT in education.
1
The use of ChatGPT in the digital era: Perspectives on chatbot implementation
Keywords Abstract
Chatbots;
ChatGPT;
conversational agents;
education;
educators;
generative AI;
perception;
students;
Thailand.
The rapid advancement of technology has led to the integration of
ChatGPT, an articial intelligence (AI)-powered chatbot, in various sectors,
including education. This research aims to explore the perceptions of
educators and students on the use of ChatGPT in education during the
digital era. This study adopted a qualitative research approach, using
in-depth interviews to gather data. A purposive sampling technique was
used to select ten educators and 15 students from dierent academic
institutions in Krabi, Thailand. The data collected was analysed using
content analysis and NVivo. The ndings revealed that educators and
students generally have a positive perception of using ChatGPT in
education. The chatbot was perceived to be a helpful tool for providing
immediate feedback, answering questions, and providing support to
students. Educators noted that ChatGPT could reduce their workload
by answering routine questions and enabling them to focus on higher-
order tasks. However, the ndings also showed some concerns regarding
the use of ChatGPT in education. Participants were worried about the
accuracy of information provided by the chatbot and the potential loss of
personal interaction with teachers. The need for privacy and data security
was also raised as a signicant concern. The results of this study could
help educators and policymakers make informed decisions about using
ChatGPT in education.
Article Info
Received 15 May 2023
Received in revised form 25 May 2023
Accepted 25 May 2023
Available online 25 May 2023
DOI: https://doi.org/10.37074/jalt.2023.6.1.32
Content Available at :
Journal of Applied Learning
&
Teaching
Vol.6 No.1 (2023)
J
o
u
r
n
a
l
o
f
A
p
p
l
i
e
d
L
e
a
r
n
i
n
g
&
T
e
a
c
h
i
n
g
JALT
http://journals.sfu.ca/jalt/index.php/jalt/index
ISSN : 2591-801X
Journal of Applied Learning & Teaching Vol.6 No.1 (2023)
pongsakorn.l65@rsu.ac.thA
Correspondence
Pongsakorn LimnaAARangsit University, Pathum Thani, Thailand
Tanpat KraiwanitBBRangsit University, Pathum Thani, Thailand
Kris JangjaratCCRangsit University, Pathum Thani, Thailand
Prapasiri KlayklungDDPathum Thani University, Pathum Thani, Thailand
Piyawatjana
ChocksathapornE
EPathum Thani University, Pathum Thani, Thailand
2Journal of Applied Learning & Teaching Vol.6 No.1 (2023)
Introduction
In the digital era, technology is increasingly developing
and provides convenience for various aspects of life,
including learning. Teaching eectiveness, student
growth, and technology are all important components
of a successful educational experience. Eective teachers
who use technology to enhance their teaching can help
students to achieve academic success and reach their full
potential. Technology can provide access to a wide range of
instructional resources, personalised learning experiences,
and opportunities for communication and collaboration
between teachers, students, and parents. By incorporating
technology into education, educators can improve the
quality and eectiveness of the learning process (Ekkarat
& Charoenkul, 2023; Fauzi et al., 2023; Gibson et al., 2023).
Many schools have begun using articial intelligence
(AI) technology to enhance the learning experience for
students. AI can provide personalised learning experiences
and adaptive feedback and assist teachers in managing
their classrooms more eciently. For example, AI-powered
chatbots can help students with their homework, answer
questions, and provide immediate feedback. AI algorithms
can also analyse student data to identify areas where a
student may struggle and recommend specic resources
or interventions to address those challenges. Additionally,
AI can assist teachers in grading, curriculum planning, and
administrative tasks, freeing up more time for classroom
instruction and student support. By leveraging the power
of AI, schools can oer a more personalised and eective
learning experience that helps students achieve their full
potential (Chassignol et al., 2018; Chiu & Chai, 2020; Kuleto
et al., 2021).
In November 2022, OpenAI released ChatGPT-3.5, a large
language model based on AI. It is trained on massive text
datasets in multiple languages and can generate human-
like responses to text input. ChatGPT, a state-of-the-art AI
chatbot, is based on the generative pre-trained transformer
(GPT) architecture, which utilises a neural network to
process natural language and generate responses based on
the context of input text. Its ability to respond to multiple
languages and generate rened and sophisticated responses
based on advanced modelling makes it superior to its
GPT-based predecessors. In addition, the name ChatGPT
is related to its function as a chatbot, which is a program
that can understand and generate responses using a text-
based interface (Cauleld, 2023; Fraiwan & Khasawneh,
2023; Khademi, 2023; Mottesi, 2023; Sullivan et al., 2023; Wu
et al., 2023; Xames & Shefa, 2023). ChatGPT has garnered
mixed responses in the scientic community and academia,
primarily due to the ongoing debate about the benets
and risks of advanced AI technologies. While some experts
view ChatGPT and other large language models as useful
tools to improve eciency and accuracy in writing and
conversational tasks, others have expressed concerns about
potential bias resulting from the training datasets used. This
bias may limit ChatGPT’s capabilities and result in factual
inaccuracies, also known as ‘hallucinations’. Furthermore,
the security concerns associated with cyber-attacks and
the spread of misinformation through large language
models like ChatGPT need to be carefully considered by the
scientic and academic communities (Crawford et al., 2023;
Firat, 2023; Sallam, 2023).
The use of ChatGPT in education during the digital era is a
topic that has gained signicant attention in recent times
(Rathore, 2023; Shahriar & Hayawi, 2023). As an AI-powered
chatbot, ChatGPT has the potential to revolutionise the way
students and educators interact and learn. However, to fully
understand its impact, it is crucial to study the perspectives
of educators and students on implementing ChatGPT in
education. Therefore, this research aims to explore the
perceptions of educators and students on the use of ChatGPT
in education during the digital era. The research questions
are: (1) What are the perceptions of educators and students
regarding the integration of ChatGPT in education during
the digital era? And: (2) What are the potential benets and
challenges associated with using ChatGPT in education, as
perceived by educators and students?
Related literature review
The origins of AI and chatbots can be traced back to
the 1950s when scientists rst began exploring articial
intelligence (Almelhes, 2023). The early developments of AI
included the creation of the rst AI program called ELIZA,
which aimed to replicate human conversation. Over time,
AI technology progressed and led to the development of
more advanced chatbots that can understand and respond
to complex requests. Today, chatbots and AI are utilised in
numerous industries, from healthcare to customer service,
continuously advancing as technology progresses. One of
the cutting-edge AI chatbot technologies is ChatGPT, which
uses natural language processing and machine learning to
allow users to interact with a virtual assistant. ChatGPT, an
advanced AI chatbot, results from cutting-edge research
conducted by OpenAI, an American AI research laboratory.
As part of the generative pre-trained transformer (GPT)
family of large language models (LLMs), ChatGPT’s
development involved a ne-tuning process that combined
supervised learning and reinforcement learning techniques.
ChatGPT is designed to be highly intelligent, intuitive, and
capable of responding to complex requests in a human-like
manner. With its advanced capabilities, ChatGPT is changing
the way we interact with technology and paving the way for
a new era of intelligent, conversational AI (Arya, 2019; Mijwil
et al., 2023; Ray, 2023; Rudolph et al., 2023a, 2023b; Sullivan
et al., 2023).
The integration of ChatGPT into education has sparked
both enthusiasm and concern. Through the SWOT
analysis framework, Farrokhnia et al. (2023) can see
that ChatGPT’s strengths and weaknesses are crucial to
understanding its potential educational implications.
While ChatGPT has the potential to improve learning
eciency, facilitate personalised learning, and increase
access to information, its limitations include a lack of deep
understanding, diculty in evaluating response quality,
and risk of bias and discrimination. The potential threats
to education include issues such as the lack of context,
potential academic integrity issues, and the perpetuation
of discrimination, among others. Acknowledging these
challenges and concerns and developing appropriate
measures to ensure ChatGPT’s responsible and ethical use
3Journal of Applied Learning & Teaching Vol.6 No.1 (2023)
in education is essential. This requires a holistic approach
that considers both the potential benets and risks of
ChatGPT and balances technological advancements with
the preservation of fundamental educational values such
as critical thinking and ethical behaviour. A review by Lo
(2023) investigates the capabilities and potential issues of
ChatGPT, an articial intelligence-based chatbot launched
in November 2022 capable of generating human-like
responses. The review included 50 content-analysed articles
using open, axial, and selective coding. Results showed
that ChatGPT’s performance varied across subject domains,
with outstanding performance in economics, satisfactory in
programming, and unsatisfactory in mathematics. Despite
its potential as an instructional assistant and virtual tutor for
students, there were concerns regarding ChatGPT’s ability to
generate incorrect or fake information and bypass plagiarism
detectors. The review recommends updating assessment
methods and institutional policies and providing instructor
training and student education to respond to the impact of
ChatGPT on the educational environment.
Hong’s (2023) research delves into the impact of ChatGPT on
foreign language teaching and learning. As a revolutionary
online application, ChatGPT has caused immense concerns
in education, particularly for foreign language teachers
who rely heavily on writing assessments. The article rst
claries the mechanisms, functions, and misconceptions
surrounding ChatGPT. It then discusses the associated
issues and risks and oers an in-depth exploration of how
learners and teachers can utilise ChatGPT. Hong argues that
ChatGPT provides signicant opportunities for teachers
and educational institutions to enhance second or foreign
language teaching while also providing researchers with
numerous opportunities for exploring a more personalised
learning experience. Overall, Hong’s research highlights
both the potential benets and challenges of integrating
ChatGPT into foreign language teaching. It also emphasises
the importance of understanding its capabilities and
limitations to make the most of this innovative technology.
According to the ndings of Rasul et al. (2023), the utilisation
of ChatGPT and other large language models (LLMs) in higher
education oers both advantages and challenges. One
benet is that ChatGPT can support students by generating
ideas for assessments, research, analysis, and writing tasks,
potentially enhancing their learning experiences. However,
it is crucial to acknowledge the potential drawbacks, such
as the risks of academic misconduct, bias, the dissemination
of false information, and inadequate assessment design,
which can hinder the development of essential graduate
skills and promote supercial learning. As a result, it is
imperative for tertiary educators and students to exercise
caution and ensure the ethical, reliable, and eective use
of this technology in academic contexts. Similarly, Firaina
and Sulisworo (2023) conducted a study on the usage of
ChatGPT in higher education and found that it can assist
users in various tasks, such as nding information, generating
ideas, translating texts, and providing alternative questions
to enhance understanding. However, the study emphasises
the need for users to verify the information obtained from
ChatGPT with more reliable sources and maintain a critical
approach when utilising it. While ChatGPT has limitations,
the respondents perceived its use as an eective way to
improve productivity and learning eciency. Therefore,
ChatGPT can be considered a promising learning alternative
as long as users remain critical in utilising it and validating
the information provided.
According to Benuyenah (2023), the development of
ChatGPT has raised concerns and generated excitement
within academic institutions. The capabilities of this chatbot
are impressive, with its human-like abilities surpassing most
tools available to students and researchers. The academic
community and the media have taken notice, with millions
of Google search results related to ChatGPT. While the
chatbot was not specically designed for academic writing,
its potential for use in this area cannot be ignored. However,
there are concerns about the potential for students to abuse
the technology and cheat on assessments. While academic
cheating is not a new phenomenon, the emergence of
powerful AI tools such as ChatGPT raises new challenges.
Some academics are concerned about the epistemic
implications of using ChatGPT in assessments. However,
despite the potential threats, there is a resolve to nd ways
to use ChatGPT eectively while addressing ethical concerns.
It is important to note that some university programs,
such as those in management studies and information
technology, may have a higher risk of cheating. Educators
must work to understand the capabilities and limitations of
ChatGPT to ensure its responsible use in academia. Tlili et
al. (2023) conducted a three-stage instrumental case study
to examine the use of ChatGPT in education among early
adopters. The study analysed social media posts, interviews,
and user experiences to investigate concerns regarding the
use of chatbots in education. While ChatGPT is a powerful
tool in education, the study highlights the need for caution
and guidelines on its safe use. The ndings suggest several
research directions and questions that researchers and
practitioners should investigate to ensure the safe and
eective adoption of chatbots, particularly ChatGPT, in
education.
Methodology
The research approach adopted in this study comprises
four key stages: research design, data collection, data
analysis, and report writing, all of which are qualitative
in nature. Qualitative research methodology aims to
comprehend the decision-making processes and actions of
individuals or groups and explain the occurrence of specic
phenomena (Siripipattanakul et al., 2022; Viphanphong
et al., 2023). The study employed in-depth interviews to
collect comprehensive responses to research topics and
precisely meet the research objectives. According to Buschle
et al. (2022), Busetto et al. (2020), and Majid et al. (2017),
conducting interviews in a qualitative study involves several
important steps to ensure a systematic and insightful data
collection process. The researchers followed a systematic
research process to conduct interviews and gather valuable
insights. First, the researchers established clear research
objectives, questions, and topics to guide participant
selection and shape the interview questions. The researchers
then selected participants using purposive sampling,
considering their characteristics and experiences relevant to
the study. The researchers developed open-ended interview
4Journal of Applied Learning & Teaching Vol.6 No.1 (2023)
questions that encouraged participants to share detailed
and meaningful perspectives. A pilot test was conducted to
rene the questions and ensure clarity. Informed consent was
obtained from participants, and the researchers scheduled
and conducted interviews in comfortable settings, respecting
participants’ preferences. Active listening was emphasised
during the interviews, and the researchers took detailed
notes or recorded the interviews with consent. The recorded
interviews were transcribed for easy analysis and coding.
The researchers applied content analysis to identify patterns,
themes, and relationships within the data. The ndings were
validated through data triangulation and sought participant
feedback. Finally, the researchers interpreted the ndings
in light of the research objectives and relevant theoretical
frameworks, uncovering key insights and implications for a
comprehensive understanding of the research topic.
The interview protocol used in this study was designed to
elicit feedback from both educators and students about
their perceptions of ChatGPT as a tool for academic support.
The protocol included open-ended questions that allowed
participants to provide detailed and nuanced responses
to the topics of interest. The interviews were conducted
in English, with participants having the option to choose
between in-person or remote sessions based on their
preference. Additionally, to facilitate further analysis, the
interviews were audio-recorded. Moreover, the present
study also used the documentary method to examine
relevant survey questions from secondary data. The interview
questions were as follows:
How has ChatGPT impacted your learning
experience as a student or educator?
What benets do you see in using ChatGPT to
answer routine questions and reduce educators’
workload?
How do you ensure the accuracy and reliability of
the information provided by ChatGPT, especially
in sensitive or complex topics?
What is your opinion on the potential loss of
personal interaction between educators and
students due to the use of ChatGPT?
How do you think ChatGPT providers can ensure
the privacy and security of personal information
shared through the chatbot?
In what ways do you think ChatGPT could be
improved to better serve the needs of educators
and students?
How do you balance using technology like
ChatGPT with human interaction and support in
the classroom?
The study utilised purposive sampling to select a sample of
25 key informants (ten educators and 15 students), a widely
recognised qualitative research technique that involves
deliberately selecting a sample based on the researchers’
expertise that best suits the study’s objectives. This method
aims to gather comprehensive knowledge about a particular
population or phenomenon of interest (Woodeson et al.,
2023; Zickar & Keith, 2023). The inclusion of higher education
teachers in the study was based on their experience,
expertise, and familiarity with the subject matter under
investigation. The intention was to involve individuals who
could oer valuable insights and perspectives regarding the
research topic. Similarly, a purposive sampling approach was
adopted for higher education students, targeting individuals
who were actively enrolled in programs or courses that
implemented ChatGPT. By specically selecting students
studying in the relevant eld, the researchers aimed to
gather information that would be highly informative and
representative of the target population.
To qualify for participation in the study, individuals had to
satisfy three inclusion criteria: 1) they needed to be at least
18 years old; 2) they needed to be Thai educators teaching or
students studying in a higher education institution located
in Krabi, Thailand; and 3) they needed to have current
knowledge and experience in using ChatGPT. To obtain their
informed consent and adhere to ethical research practices,
participants were informed of the study’s goals prior to
participating in interviews or any other research activity. The
interview data were gathered in February 2023. The data
collected were analysed using content analysis, a systematic
and objective approach to describing and quantifying
specic phenomena from verbal, visual, or written data (Deri,
2022; Jangjarat et al., 2023; Namraksa & Kraiwanit, 2023).
NVivo, a qualitative data analysis tool used to organise and
analyse large data sets, was also utilised (Woodeson et al.,
2023).
The researchers interviewed ten educators and 15 students
to gather their perceptions on using ChatGPT in education
during the digital era. Table 1 presents the respondents’
information, including their gender, age, and occupation,
as well as the date and time of the interviews. The sample
comprised ten higher education teachers, with an equal
distribution of ve males and ve females. Their ages ranged
from 21 to 42. Additionally, 15 higher education students
were interviewed, consisting of nine males and six females.
All of the student participants were 18 years old.
Results
The study identied several themes based on their
responses, including positive perception, reduced workload,
information accuracy, personal interaction loss, and data
privacy. The interviews and analysis were conducted using
content analysis and NVivo software. A word frequency
query was employed to enhance the understandability of
the results, and the words that the participants commonly
used during the interviews were visualised in a word cloud
(Figure 1).
Positive perception
Educators praised ChatGPT for its ability to quickly respond
to students’ questions and provide additional resources
to enhance their understanding of a given topic. Some
5Journal of Applied Learning & Teaching Vol.6 No.1 (2023)
Table 1. Demographic information on the respondents and
interview dates and times.
Figure 1. Word cloud.
educators also noted that ChatGPT helped to reduce their
workload by answering common questions and freeing up
time for them to focus on more complex issues. Likewise,
students found ChatGPT to be a convenient and accessible
resource for academic support. They appreciated its ability
to provide immediate feedback and answer questions
outside of regular classroom hours, which helped them to
stay on track with their studies. Some students also noted
that ChatGPT made them feel more condent in their
learning by providing reliable information and guidance.
Overall, both educators and students perceived ChatGPT
as a valuable addition to the educational experience and
believed its continued use could help improve student
learning outcomes and enhance the overall quality of
education.
ChatGPT is a valuable tool for improving the
learning experience by providing students with
immediate answers to their questions (educator).
Using ChatGPT has been a game-changer for me.
It allows me to get help with my studies whenever
and wherever I need it (student).
ChatGPT has been a great asset in reducing
our workload by answering common student
queries and freeing up our time to focus on more
challenging issues (educator).
Reduced workload
Educators who used ChatGPT in their classrooms noted
that the chatbot could be particularly useful for answering
routine questions, such as those related to course materials,
due dates, or assignment requirements. By ooading these
tasks to ChatGPT, educators were able to focus on higher-
order tasks, such as designing lesson plans, providing
feedback to students, or facilitating classroom discussions.
Some educators found that ChatGPT’s ability to provide
immediate feedback and support helped to increase student
engagement and motivation. They noted that students who
received timely and accurate answers to their questions
were more likely to feel supported and condent in their
learning, which in turn led to better academic outcomes.
However, some educators also raised concerns about the
potential limitations of ChatGPT, particularly its ability to
understand and respond to complex or nuanced questions.
They cautioned that while ChatGPT could be a valuable tool
for routine tasks, it was not a substitute for the personalised
support and guidance that educators could provide. Overall,
educators viewed ChatGPT as a useful tool for reducing their
workload and providing additional support to students but
also recognised the importance of maintaining a balance
between technology and human interaction in the classroom.
ChatGPT can be a powerful tool for answering
routine questions, allowing educators to focus on
more complex tasks (educator).
I noticed that ChatGPT’s immediate feedback and
support helped to increase student motivation
and engagement (educator).
While ChatGPT is useful for routine tasks, it cannot
replace the personalised support and guidance
that educators provide (educator).
6Journal of Applied Learning & Teaching Vol.6 No.1 (2023)
Accuracy of information
Some participants expressed concerns about the accuracy
and reliability of the information provided by the chatbot.
They worried ChatGPT might provide incorrect or
incomplete information, potentially harming students’
learning outcomes. Some participants noted that ChatGPT’s
responses were based on pre-programmed algorithms,
which might not always account for the specic nuances of a
given question or topic. As a result, they felt that the chatbot
might provide answers that were not entirely accurate or
appropriate for the situation. Moreover, participants also
pointed out that ChatGPT’s responses were based on the
quality of the data used to train it and that errors or biases
in the training data could lead to inaccurate responses. This
was seen as a particular concern in cases where ChatGPT was
used to provide guidance on sensitive or complex topics,
such as mental health or social justice issues. To address
these concerns, some participants suggested that educators
and students should be encouraged to critically evaluate
the information provided by ChatGPT and seek additional
information sources when necessary. Others suggested
that ChatGPT should be regularly monitored and updated
to ensure that it was providing accurate and up-to-date
information. Overall, while participants acknowledged the
potential benets of ChatGPT as a tool for giving academic
support, they also recognised the importance of ensuring
that the information provided was accurate and reliable.
I worry that ChatGPT might provide incomplete or
incorrect information that could harm students’
learning outcomes (educator).
The chatbot’s responses are based on pre-
programmed algorithms that may not account
for specic nuances, leading to inaccurate or
inappropriate answers (educator).
Errors or biases in the training data used for
ChatGPT could lead to inaccurate responses,
especially in cases where sensitive or complex
topics are involved (educator).
Loss of personal interaction
Participants observed that personal interaction between
educators and students could be instrumental in building
trust, establishing rapport, and fostering a sense of
community in the classroom. They noted that face-to-face
interactions allowed for more nuanced and empathetic
responses to students’ needs and concerns and could help
to promote a deeper understanding of course materials.
Participants also pointed out that personal interactions
with educators could be especially important for students
struggling academically or facing personal challenges. They
noted that educators could provide personalised support
and guidance that might not be possible through a chatbot
and that this support could be crucial for helping students
to succeed. To address these concerns, some participants
suggested that ChatGPT should be used in conjunction
with, rather than as a replacement for, personal interactions
between educators and students. They noted that chatbots
could be useful for providing initial support and guidance, but
educators should also be available to provide personalised
support and establish meaningful connections with their
students. Overall, participants recognised the potential
benets of ChatGPT as a tool for providing academic
support but also emphasised the importance of maintaining
personal interaction between educators and students as a
key component of the educational experience.
Personal interaction between educators and
students could be instrumental in building trust,
establishing rapport, and fostering a sense of
community in the classroom (educator).
Educators could provide personalised support
and guidance that might not be possible through
a chatbot, and this support could be crucial for
helping students to succeed (educator).
Chatbots could be useful for providing initial
support and guidance, but educators should also
be available to provide personalised support and
to establish meaningful connections with their
students (student).
Data privacy issue
Participants pointed out that using ChatGPT involved
sharing personal information, such as students’ names, email
addresses, and academic performance. They were worried
that unauthorised individuals could access this information
or use it for purposes other than academic support. They
were also concerned about the potential for data breaches
or cyber-attacks that could compromise their personal
information. To address these concerns, the participants
suggested that ChatGPT providers implement robust data
protection measures, such as access controls, to ensure
the privacy and security of personal information. They
suggested that educators and students should be provided
with clear information about how their data would be used
and protected and should be given the option to opt out
of using ChatGPT if they had concerns about data privacy.
Overall, participants recognised the potential benets of
ChatGPT as a tool for providing academic support. However,
they emphasised the need for strong data protection
measures and clear communication about data privacy to
ensure students’ personal information was secure and used
only for its intended purposes.
I am concerned about the amount of personal
information that would be shared through
ChatGPT and how it would be protected from
potential cyber-attacks or misuse by unauthorised
individuals (student).
Data protection should be a top priority when
using ChatGPT in educational settings. Robust
access controls should be implemented to ensure
that personal information is secure and not
accessed by unauthorised individuals (student).
7Journal of Applied Learning & Teaching Vol.6 No.1 (2023)
It is important that educators and students are
provided with clear information about how their
personal data will be used and protected by
ChatGPT providers and given the option to opt
out if they have concerns about data privacy
(educator).
Classroom toolkit: Utilising ChatGPT as a resource
Incorporating ChatGPT as a resource in the classroom
can bring various benets and enhance student learning
experiences. This toolkit provides guidance on how educators
can eectively utilise ChatGPT to support teaching and
learning. Including a toolkit showcasing how ChatGPT can
be used as a resource in the classroom would be benecial.
This includes:
Generating ideas: Encourage students to use
ChatGPT to brainstorm and generate ideas for
various assignments, projects, or research topics.
It can provide a starting point or spark creativity
(Cox & Tzoc, 2023; Kilinç, 2023).
Immediate feedback: Leverage ChatGPT for
instant feedback on student work. Students can
input their written responses, essays, or code, and
ChatGPT can provide constructive suggestions
and highlight areas for improvement (Kilinç, 2023).
Answering questions: Encourage students to
utilise ChatGPT to nd quick answers to factual
or conceptual questions related to the subject
matter. It can serve as a convenient resource for
students to clarify doubts (Cox & Tzoc, 2023;
Dwivedi et al., 2023).
Summarising texts: Students can input lengthy
texts, articles, or research papers into ChatGPT to
obtain concise summaries. This can help students
quickly grasp key ideas and concepts (Ray, 2023;
Sun & Hoelscher, 2023).
Language support: ChatGPT can assist students
in improving their language skills. It can help
with grammar, vocabulary, sentence structure,
and overall language uency, acting as a virtual
language tutor (Moqbel & Al-Kadi, 2023; Sun &
Hoelscher, 2023).
Independent learning: Encourage students to
explore topics independently using ChatGPT.
They can input keywords or questions to access
relevant information and resources, promoting
self-directed learning (Rasul et al., 2023).
Ethical use: Emphasise the importance of using
ChatGPT ethically and responsibly. Educate
students about the limitations and potential biases
of AI models and encourage critical thinking when
evaluating the information provided by ChatGPT
(Mhlanga,2023).
The toolkit serves as a guide to incorporating ChatGPT
as a resource in the classroom. It oers suggestions for
leveraging its capabilities to enhance student learning,
foster independent inquiry, and provide additional support.
However, it is essential to maintain a balance between
utilising AI tools and promoting human interaction, critical
thinking, and deep engagement with the subject matter
(Frąckiewicz, 2023; Hassani & Silva, 2023; Kilinç, 2023).
Discussion
This study explained the perceptions of educators and
students on the use of ChatGPT in education during the
digital era. The perceptions of educators and students
regarding the integration of ChatGPT in education during
the digital era are generally positive. ChatGPT was viewed as
a helpful tool for providing immediate feedback, answering
questions, and reducing the workload of educators.
Educators and students appreciate the chatbot’s ability to
provide immediate feedback, answer questions, and provide
support outside regular classroom hours. However, there
are concerns about the accuracy of the information supplied
by ChatGPT and the potential loss of personal interaction
with teachers. The potential benets of using ChatGPT in
education, as perceived by educators and students, include
increased eciency in answering routine questions, freeing
up time for educators to focus on higher-order tasks, and
providing students with immediate feedback and academic
support. However, there are also potential challenges, such
as concerns about the accuracy of information provided by
ChatGPT, the need for privacy and data security, and the
possible loss of personal interaction between educators and
students. These challenges need to be addressed to ensure
that ChatGPT is used eectively and safely in the educational
setting.
The ndings were consistent with several studies. For
instance, Rahman et al. (2023) have highlighted the practical
applications of ChatGPT in academic research, including new
idea generation, outlining research topics, and summarising
large texts to identify key ndings. However, they also
observed some limitations in using ChatGPT to write an
academic article, such as the potential for misleading research
problems, questions, and gaps. Additionally, ChatGPT
cannot conduct statistical analysis due to its inability to
access datasets. Therefore, the researchers recommend that
ChatGPT be used as an e-research assistant to complement
a researcher’s work and improve eciency rather than as
a tool to write a research article alone. It is important for
researchers to take accountability for using ChatGPT and to
mention its use in the article to maintain research integrity.
In conclusion, while ChatGPT has its limitations, it can still
be a valuable tool for academic researchers when used in
conjunction with human control and transparency.
Moreover, Fauzi et al. (2023) indicated that ChatGPT could
signicantly contribute to improving student productivity
by providing useful information and resources, improving
language skills, facilitating collaboration, improving time
eciency and eectiveness, and providing support and
motivation. However, ChatGPT should be viewed as an adjunct
to, not a substitute for, human interaction and students’
8Journal of Applied Learning & Teaching Vol.6 No.1 (2023)
hard work in learning and achieving their academic goals.
Gupta et al. (2023) concluded that ChatGPT demonstrated
high accuracy in coming up with novel ideas for systematic
reviews, suggesting potential applications outside of plastic
surgery research. According to the authors, ChatGPT may
also be used for patient education, virtual consultations,
preoperative planning, and postoperative care, providing a
simple answer to the challenging problems encountered in
the eld of plastic surgery.
Furthermore, Sok and Heng (2023) have found that
ChatGPT has the potential to bring signicant benets to
students, educators, and researchers. These benets include
improved formative and summative evaluations, enhanced
pedagogical practices, support for personalised learning,
academic outline generation, and idea brainstorming for
articles or essays. However, it is crucial to acknowledge
that ChatGPT also has its limitations, such as the risk of
academic integrity, biased evaluations, factual inaccuracies,
and over-reliance on AI that may hinder the development
of important life skills. Therefore, these limitations must be
addressed to ensure the eective use of this transformative
AI tool for education and research. By doing so, ChatGPT
can be leveraged as a valuable tool to enhance learning and
research while promoting ethical and responsible use.
Conclusion
Based on the study’s results, it can be concluded that ChatGPT
has the potential to be a valuable educational tool in the
digital era. Both educators and students had a generally
positive perception of the chatbot’s use in education, and
educators noted that it could reduce their workload by
answering routine questions. However, concerns were raised
about the accuracy of information provided by the chatbot,
the potential loss of personal interaction with teachers, and
the need for privacy and data security. To ensure the eective
and ethical implementation of ChatGPT in education, it is
recommended that educators and policymakers carefully
consider the benets and drawbacks of its use. Educators
should also provide guidance and training to students on
eectively using ChatGPT as an educational tool.
Additionally, eorts should be made to address the
concerns raised, including improving the accuracy of
information provided by ChatGPT, nding ways to maintain
personal interaction between educators and students, and
prioritising data privacy and security. Overall, this study
provides valuable insights into the perceptions of educators
and students on using ChatGPT in education and oers
recommendations for its implementation. Future research
could explore the long-term eects of using ChatGPT in
education and compare its eectiveness with traditional
teaching methods.
The present study contributes to a deeper understanding of
the topic by focusing on the perceptions of educators and
students in Krabi, Thailand, regarding the use of ChatGPT
in education during the digital era. By narrowing the scope
to this specic context, the study provides valuable insights
not extensively explored in the Thai educational setting,
adding to the existing body of knowledge. By focusing
on educators’ and students’ perspectives, the study sheds
light on their experiences, opinions, and concerns related
to integrating ChatGPT in educational settings. The ndings
of this research contribute to the existing body of literature
on ChatGPT by expanding the knowledge base and oering
new insights. The outcomes provide researchers with a
foundation for further investigations in this eld, as they
highlight important aspects that can be explored in future
studies. Scholars can build upon these ndings to delve
into previously unexplored elements, such as the specic
pedagogical approaches that can maximise the benets
of ChatGPT, strategies for addressing its limitations, or the
impact of ChatGPT on dierent subject areas or student
populations. By oering valuable insights and implications,
this study adds to the existing literature on ChatGPT in
education during the digital era, enriching the understanding
of its potential benets, challenges, and perspectives of key
stakeholders. It serves as a stepping stone for future research
endeavours, providing a basis for researchers to expand their
research horizons and contribute to the ongoing discourse
surrounding the eective and responsible use of ChatGPT in
educational contexts.
As with any study, some limitations should be acknowledged.
Firstly, the study was conducted in a specic location (Krabi,
Thailand) with limited sample size. Thus, the ndings
may not be generalisable to other contexts, and future
research should include a more diverse and larger sample
size. Secondly, the study focuses only on the perceptions
of educators and students towards the use of ChatGPT in
education. It would be interesting to explore the views of
other stakeholders, such as administrators, parents, and
policymakers. Thirdly, the study only examined the use
of ChatGPT in providing immediate feedback, answering
questions, and reducing workload. Future research could
investigate other potential uses of chatbots in education,
such as personalised learning, student engagement, and
assessment. Fourthly, the study highlights some concerns
regarding the accuracy of information provided by the
chatbot, loss of personal interaction with teachers, and data
security. Future research could explore ways to address
these concerns and ensure the successful implementation
of chatbots in education. Overall, while the study provides
a valuable contribution to the discourse on using ChatGPT
in education, further research is needed to fully explore the
potential benets and challenges of chatbot implementation
in learning environments. The ndings of these studies could
inform the development of evidence-based implementation
strategies for ChatGPT in education and provide insights for
further innovation in education technology.
References
Almelhes, S. A. (2023). A review of articial intelligence
adoption in second-language learning. Theory and
Practice in Language Studies, 13(5), 1259-1269. https://doi.
org/10.17507/tpls.1305.21.
Arya, M. (2019). A brief history of chatbots. Chatbots Life.
https://chatbotslife.com/a-brief-history-of-chatbots-
d5a8689cf52f.
9Journal of Applied Learning & Teaching Vol.6 No.1 (2023)
Benuyenah, V. (2023). Commentary: ChatGPT use in higher
education assessment: Prospects and epistemic threats.
Journal of Research in Innovative Teaching & Learning, 16(1),
134-135. https://doi.org/10.1108/JRIT-03-2023-097.
Buschle, C., Reiter, H., & Bethmann, A. (2022). The qualitative
pretest interview for questionnaire development: Outline
of programme and practice. Quality & Quantity, 56(2), 823-
842. https://doi.org/10.1007/s11135-021-01156-0.
Busetto, L., Wick, W., & Gumbinger, C. (2020). How to use and
assess qualitative research methods. Neurological Research
and Practice, 2, 1-10. https://doi.org/10.1186/s42466-020-
00059-z.
Cauleld, J. (2023). What is ChatGPT? | Everything you need
to know. Scribbr. https://www.scribbr.com/ai-tools/what-is-
chatgpt/.
Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova,
A. (2018). Articial intelligence trends in education: A
narrative overview. Procedia Computer Science, 136, 16-24.
https://doi.org/10.1016/j.procs.2018.08.233.
Chiu, T. K., & Chai, C. S. (2020). Sustainable curriculum
planning for articial intelligence education: A self-
determination theory perspective. Sustainability, 12(14),
5568. https://doi.org/10.3390/su12145568.
Cox, C., & Tzoc, E. (2023). ChatGPT: Implications for academic
libraries. College & Research Libraries News, 84(3), 99. https://
doi.org/10.5860/crln.84.3.99.
Crawford, J., Cowling, M., & Allen, K. (2023). Leadership is
needed for ethical ChatGPT: Character, assessment, and
learning using Articial Intelligence (AI). Journal of University
Teaching & Learning Practice, 20(3), 1-21. https://doi.
org/10.53761/1.20.3.02.
Deri, C. E. (2022). Social learning theory and academic writing
in graduate studies. Journal of Applied Learning & Teaching,
5(Sp. Iss. 1), 20-26. https://doi.org/10.37074/jalt.2022.5.s1.4.
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj,
A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan,
V., Ahuja, M., & Albanna, H. (2023). “So what if ChatGPT
wrote it?” Multidisciplinary perspectives on opportunities,
challenges and implications of generative conversational
AI for research, practice and policy. International Journal
of Information Management, 71, 102642. https://doi.
org/10.1016/j.ijinfomgt.2023.102642.
Ekkarat, W., & Charoenkul, N. (2023). Needs of secondary
school development for teaching eectiveness based on the
concept of student growth. Journal of Education Naresuan
University, 25(2), 65-74. https://so06.tci-thaijo.org/index.
php/edujournal_nu/article/view/251071.
Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals,
A. (2023). A SWOT analysis of ChatGPT: Implications for
educational practice and research. Innovations in Education
and Teaching International, 1-15. https://doi.org/10.1080/14
703297.2023.2195846.
Fauzi, F., Tuhuteru, L., Sampe, F., Ausat, A., & Hatta, H.
(2023). Analysing the role of ChatGPT in improving student
productivity in higher education. Journal on Education, 5(4),
14886-14891. https://doi.org/10.31004/joe.v5i4.2563.
Firaina, R., & Sulisworo, D. (2023). Exploring the usage of
ChatGPT in higher education: Frequency and impact on
productivity. Buletin Edukasi Indonesia, 2(01), 39–46. https://
doi.org/10.56741/bei.v2i01.310.
Firat, M. (2023). What ChatGPT means for universities:
Perceptions of scholars and students. Journal of Applied
Learning and Teaching, 6(1), 1-7. Advanced publication.
https://doi.org/10.37074/jalt.2023.6.1.22.
Frąckiewicz, M. (2023). ChatGPT-4 as a collaborative learning
tool: Strategies for success. TS2. https://ts2.space/en/chatgpt-
4-as-a-collaborative-learning-tool-strategies-for-success/.
Fraiwan, M., & Khasawneh, N. (2023). A review of ChatGPT
applications in education, marketing, software engineering,
and healthcare: Benets, drawbacks, and research directions.
arXiv preprint arXiv:2305.00237. https://doi.org/10.48550/
arXiv.2305.00237.
Gibson, L., Obiakor, F. E., & Obi, S. O. (2023). Using
technology to enhance learning for students from culturally
and linguistically diverse backgrounds. In Using technology
to enhance special education (Vol. 37, pp. 199-214). Emerald
Publishing Limited. https://doi.org/10.1108/S0270-
401320230000037012.
Gupta, R., Herzog, I., Weisberger, J., Chao, J., Chaiyasate, K.,
& Lee, E. S. (2023). Utilisation of ChatGPT for plastic surgery
research: Friend or foe?. Journal of Plastic, Reconstructive
& Aesthetic Surgery, 80, 145-147. https://doi.org/10.1016/j.
bjps.2023.03.004.
Hassani, H., & Silva, E. S. (2023). The role of ChatGPT in
data science: how AI-assisted conversational interfaces are
revolutionising the eld. Big Data and Cognitive Computing,
7(2), 62. https://doi.org/10.3390/bdcc7020062.
Hong, W. C. H. (2023). The impact of ChatGPT on foreign
language teaching and learning: Opportunities in education
and research. Journal of Educational Technology and
Innovation, 5(1), 37-45. https://jeti.thewsu.org/index.php/
cieti/article/view/103.
Jangjarat, K., Limna, P., Maskran, P., Klayklung, P., &
Chocksathaporn, P. (2023). Navigating the digital frontier: A
review of education management in the age of technology.
Journal of Management in Business, Healthcare, and Education,
2023(1), 1-11. https://ssrn.com/abstract=4447062.
Khademi, A. (2023). Can ChatGPT and Bard generate aligned
assessment items? A reliability analysis against human
performance. Journal of Applied Learning & Teaching,
6(1), 1-6. Advanced publication. https://doi.org/10.37074/
jalt.2023.6.1.28.
Kilinç, S. (2023). Embracing the future of distance science
education: Opportunities and challenges of ChatGPT
10Journal of Applied Learning & Teaching Vol.6 No.1 (2023)
integration. Asian Journal of Distance Education, 18(1), 205-
237. https://doi.org/10.5281/zenodo.7857396.
Kuleto, V., Ilić, M., Dumangiu, M., Ranković, M., Martins, O.
M., Păun, D., & Mihoreanu, L. (2021). Exploring opportunities
and challenges of articial intelligence and machine learning
in higher education institutions. Sustainability, 13(18), 10424.
https://doi.org/10.3390/su131810424.
Lo, C. K. (2023). What is the impact of ChatGPT on education?
A rapid review of the literature. Education Sciences, 13(4),
410. https://doi.org/10.3390/educsci13040410.
Majid, M. A. A., Othman, M., Mohamad, S. F., Lim, S. A. H., &
Yusof, A. (2017). Piloting for interviews in qualitative research:
Operationalisation and lessons learnt. International Journal
of Academic Research in Business and Social Sciences, 7(4),
1073-1080.http://dx.doi.org/10.6007/IJARBSS/v7-i4/2916.
Mhlanga, D. (2023) Open AI in education, the responsible
and ethical use of ChatGPT towards lifelong learning. SSRN:
4354422. http://dx.doi.org/10.2139/ssrn.4354422
Mijwil, M. M., Hiran, K. K., Doshi, R., Dadhich, M., Al-Mistarehi,
A. H., & Bala, I. (2023). ChatGPT and the future of academic
integrity in the articial intelligence era: A new frontier. Al-
Salam Journal for Engineering and Technology, 2(2), 116-127.
https://doi.org/10.55145/ajest.2023.02.02.015.
Moqbel, M. S. S., & Al-Kadi, A. M. T. (2023). Foreign language
learning assessment in the age of ChatGPT: A theoretical
account. Journal of English Studies in Arabia Felix, 2(1), 71-
84. https://doi.org/10.56540/jesaf.v2i1.62.
Mottesi, C. (2023). What is ChatGPT? An introduction to
OpenAI’s conversational AI model. InvGate. https://blog.
invgate.com/what-is-chatgpt.
Namraksa, S., & Kraiwanit, T. (2023). Parental expectations
for international schools in the digital age. Universal Journal
of Educational Research, 2(1), 1-7. https://www.ujer.org/
vol2no1/article121.
Rahman, M., Terano, H. J. R., Rahman, N., Salamzadeh, A.,
Rahaman, S. (2023). ChatGPT and academic research: A
review and recommendations based on practical examples.
Journal of Education, Management and Development Studies,
3(1). 1-12. http://dx.doi.org/10.52631/jemds.v3i1.175.
Rasul, T., Nair, S., Kalendra, D., Robin, M., de Oliveira Santini,
F., Ladeira, W. J., Sun, M., Day, I., Rather, R. A., & Heathcote,
L. (2023). The role of ChatGPT in higher education: Benets,
challenges, and future research directions. Journal of Applied
Learning & Teaching, 6(1), 1-16. Advanced publication.
https://doi.org/10.37074/jalt.2023.6.1.29.
Rathore, B. (2023). Future of AI & generation alpha: ChatGPT
beyond boundaries. Eduzone: International Peer Reviewed/
Refereed Multidisciplinary Journal, 12(1), 63-68. https://www.
eduzonejournal.com/index.php/eiprmj/article/view/254.
Ray, P. P. (2023). ChatGPT: A comprehensive review on
background, applications, key challenges, bias, ethics,
limitations and future scope. Internet of Things and Cyber-
Physical Systems, 3, 121-154. https://doi.org/10.1016/j.
iotcps.2023.04.003.
Rudolph, J., Tan, S., & Tan, S. (2023a). ChatGPT: Bullshit spewer
or the end of traditional assessments in higher education?.
Journal of Applied Learning & Teaching, 6(1), 1-22. Advanced
publication. https://doi.org/10.37074/jalt.2023.6.1.9.
Rudolph, J., Tan, S., & Tan, S. (2023b). War of the chatbots:
Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold
rush and its impact on higher education. Journal of Applied
Learning & Teaching, 6(1), 1-26. Advanced publication.
https://doi.org/10.37074/jalt.2023.6.1.23.
Sallam, M. (2023). ChatGPT utility in healthcare education,
research, and practice: Systematic review on the promising
perspectives and valid concerns. Healthcare, 11(6), 887.
http://dx.doi.org/10.3390/healthcare11060887.
Shahriar, S., & Hayawi, K. (2023). Let’s have a chat! A
conversation with ChatGPT: Technology, applications, and
limitations. arXiv preprint. arXiv:2302.13817. https://doi.
org/10.48550/arXiv.2302.13817.
Siripipattanakul, S., Siripipatthanakul, S., Limna, P., &
Auttawechasakoon, P. (2022). Marketing mix (4Cs) aecting
decision to be an online degree student: A qualitative case
study of an online master’s degree in Thailand. International
Journal on Integrated Education, 5(4), 31-41. https://ssrn.
com/abstract=4077410.
Sok, S., & Heng, K. (2023). ChatGPT for education and
research: A review of benets and risks. SSRN 4378735.
http://dx.doi.org/10.2139/ssrn.4378735.
Sullivan, M., Kelly, A., & McLaughlan, P. (2023). ChatGPT in
higher education: Considerations for academic integrity and
student learning. Journal of Applied Learning & Teaching,
6(1), 1-10. Advanced publication. https://doi.org/10.37074/
jalt.2023.6.1.17.
Sun, G. H., & Hoelscher, S. H. (2023). The ChatGPT storm and
what faculty can do. Nurse Educator, 48(3), 119-124. https://
doi.org/10.1097/NNE.0000000000001390.
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D.
T., Huang, R., & Agyemang, B. (2023). What if the devil is my
guardian angel: ChatGPT as a case study of using chatbots
in education. Smart Learning Environments, 10(1), 1-24.
https://doi.org/10.1186/s40561-023-00237-x.
Viphanphong, W., Limna, P., Kraiwanit, T., & Jangjarat, K.
(2023). Merit piggy bank in the digital economy. Shanti
Journal, 2(1), 1-9. https://doi.org/10.3126/shantij.v2i1.53727.
Woodeson, K., Limna, P., & Nga-Fa, N. (2023). Students’
vocabulary learning diculties and teachers’ strategies: A
qualitative case study of Ammartpanichnukul School, Krabi
in Thailand. Advance Knowledge for Executives, 2(1), 1-9.
https://ssrn.com/abstract=4393641.
Wu, T., He, S., Liu, J., Sun, S., Liu, K., Han, Q. L., & Tang, Y.
10Journal of Applied Learning & Teaching Vol.6 No.1 (2023)
Copyright: © 2023. Pongsakorn Limna, Tanpat Kraiwanit, Kris Jangjarat, Prapasiri Klayklung and Piyawatjana Chocksathaporn. This
is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution
or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the
original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is
permitted which does not comply with these terms.
(2023). A brief overview of ChatGPT: The history, status
quo and potential future development. IEEE/CAA Journal
of Automatica Sinica, 10(5), 1122-1136. https://doi.
org/10.1109/JAS.2023.123618.
Xames, M. D., & Shefa, J. (2023). ChatGPT for research and
publication: Opportunities and challenges. Journal of Applied
Learning & Teaching, 6(1), 1-6. Advanced publication. https://
doi.org/10.37074/jalt.2023.6.1.20.
Zickar, M. J., & Keith, M. G. (2023). Innovations in sampling:
Improving the appropriateness and quality of samples in
organisational research. Annual Review of Organizational
Psychology and Organizational Behavior, 10, 315-337.
https://doi.org/10.1146/annurev-orgpsych-120920-052946.
... According to this study, students of both public and private universities use ChatGPT as a highly immersive platform, demonstrating a high-performance expectation across the platform. This finding aligns with the research done by Limna et al. (2023), which found that students think ChatGPT helps them learn complex subjects. However, performance expectancy scores were lower for teachers than students at both public and private universities. ...
... All teachers and student groups have identified the availability of technology resources and the institution's support for using ChatGPT in an educational setting as barriers and poor facilitating conditions. This is consistent with studies by Limna et al. (2023) that highlight the need to have sufficient infrastructure and support mechanisms to ensure successful technology integration. These results also highlight a critical area for educational institutions to address since the potential benefits of AI technologies for teaching and learning might be seriously hampered by a lack of supportive environments. ...
... According to the actual use scores of this study, both groups of students frequently utilize ChatGPT for various academic assignments, which highlight how actively they engage with AI technologies in their studies. This is also consistent with research by Limna et al. (2023) that shows students want to use technology to improve their educational experiences. Though their ratings were lower than those of students, teacher usage rates were also quite high, suggesting impediments to integration into teaching roles that are in line with Sok and Heng's (2023) findings. ...
Article
Background Bangladesh is an emerging country where teachers and students of public and private universities have started using technology in the classrooms. Many teachers and students of social science faculty have an inclination to use ChatGPT for educational and research purposes. By focusing on this specific context, the study aims to bring insights into the perception and integration of ChatGPT into the educational practices in an emerging country. Methods This study employed a mixed method approach. Quantitative data were collected through questionnaire survey from 402 teachers and 440 students of eight different public and private universities following a stratified sampling approach. A convenience sampling technique was followed with a view to collecting qualitative data through in-depth interviews of 32 participants, including 16 teachers and 16 students from both public and private universities. Results The research presents that students and teachers both have proficiency, but there is a gap in expertise. Students perceive ChatGPT as beneficial for better learning outcomes, and teachers find it helpful in preparing for classes and instructional materials. Both teachers and students consider ChatGPT requirng minimal effort. Though students are influenced by their peers to use it, teachers are not. On the other hand, teachers have more behavioral intentions to use it in the future than the students have. Yet worries over ethical use, reliance, and information accuracy prevail. High cost and language barriers are also listed as reasons for level of accessibility . Conclusion The findings of this study have significant implications for the development of policies, research endeavors, and teaching-learning practices in the higher education sector covering both public and private universities in Bangladesh and similar contexts.
... On the other hand, the literature creates conflicting conclusions regarding the effectiveness and acceptance of AI in education. While some studies do report positive attitudes toward AI-driven educational tools Welding, 2023), a number of key concerns have been raised by Resti Tito H. Villarino Integración de la Inteligencia Artificial (IA) en la Educación Superior Rural Filipina: Perspectivas, desafíos y consideraciones éticas N. 23, 2024-ISSN: 2386 International Journal of Educational Research and Innovation others (Limna et al., 2023;Montenegro-Rueda et al., 2023). For instance, among these were the reliability of the grading by these AI systems, possible biases in algorithms, and privacy concerns (Zhai et al., 2021). ...
... The integration of AI in education has seen significant developments since late 2022, with tools like ChatGPT, an autoregressive large language model with over 175 billion parameters, gaining prominence (Limna et al., 2023). These AI systems can generate human-like responses to textbased inputs and comprehend diverse information sources, including academic literature and online resources (Bhattacharya et al., 2023;Biswas, 2023;Kitamura, 2023). ...
... Data collection was conducted using a modified, contextualized, and validated questionnaire adapted from previously published research on the utilization of AI tools in the classroom Chan & Hu, 2023;Das et al., 2023;Khanduri & Teotia, 2023;Kumar, 2023;Limna et al., 2023). The questionnaire was administered online via Google Forms. ...
Article
Full-text available
AI rapidly reshapes learning landscapes from highly industrialized countries to those that are still in development, such as the Philippines. However, limited studies have been conducted on how such AI tools are adopted and perceived by college students within a non-urban higher education context. This study fills the gap by investigating the adoption, perceptions, and ethical implications of AI tools among rural Philippine college students through a sequential explanatory mixed-method cross-section survey approach, drawing its base from 451 students in a rural state college in Cebu, Philippines, from May to June 2024. IBM SPSS version 26.0 was used to conduct the statistical analyses, while theme analyses were done using MAXQDA version 2020. Among the respondents, all had used AI tools, while the greater proportion of these students (78.54%) used ChatGPT. Further, the students strongly believed that AI was easy to use (M = 5.13; SD = ±1.58) and helpful in their learning (M = 5.17; SD = ±1.53). On the contrary, students were concerned about incorrect or biased information (M=5.35, SD=±1.40), impact on critical thinking (M=5.04, SD=±1.77), and potential for cheating (M=5.39, SD=±1.50) while utilizing these AI tools. Also, only 17.29% of the students knew its institutional policies regarding the use of AI. This study indicates the essentiality of creating clear institutional guidelines for the use of AI, devising programs on AI literacy, and revisiting the assumption about the digital divide in rural higher education institutions. These findings also have policy implications in view of curriculum development and ethics for integrating AI into higher education contexts and carve out a need for educational strategies that make use of the benefits offered through AI while actively cultivating students' critical thinking skills and academic integrity.
... In this digital age, technology is advancing and making life easier, including education (Haleem et al., 2022). Technology, student development, and effective teaching are all crucial elements of a successful educational experience (Limna et al., 2023). As classrooms become more digital, educators face the challenge of adapting their instruction to meet the diverse and evolving needs of students (Wang, 2023). ...
... Chatbots have been shown to increase interaction and improve linguistic input, which helps students' English communication skills (Wang 2023). Additionally, it can help teachers with administrative tasks, curriculum planning, and grading duties, allowing more time for teaching and student support in the classroom (Limna et al., 2023). ...
... To address the first research question, " How does using chatbots in instruction enhance students' writing skills?", the pre-post-test results were analized. The findings align with existing research that highlighted the positive impact of technology integration in the field of education (Haleem et al., 2022;Limna et al., 2023). Similar to study by Qasem et al. (2023), the chatbot intervention in this study demonstrated significant improvements in students' writing performance, likely due to the personalized feedback and supportive practice environment it provided. ...
Article
Full-text available
This mixed-method research examined the impact of chatbot-assisted learning on university students' writing skills. Conducted with 24 undergraduate students from 19 to 20 years old at a public University. The research employed a pre-pots/test and examined using a writing quality rubric and a qualitative questionnaire to analyze students’ perceptions. After the implementation, a paired t-test showed a significant increase in writing performance (p= 0.000), indicating that chatbot interventions enhanced students’ writing skills. Qualitative findings revealed that students perceived chatbots as valuable tools for receiving feedback, expanding vocabulary, and increasing writing confidence, Though limitations such as technical difficulties and unfamiliarity with chatbot usage were noted. The study suggests that chatbots can be an effective supplement to traditional writing instruction by providing personalized feedback and interactive learning opportunities. Some recommendations for future research are presented.
... ChatGPT has the potential to streamline access to information and assist teachers in curriculum planning, yet integrating this technology raises ethical dilemmas, including privacy, confidentiality, and bias (Srinivasan et al., 2024). Additional concerns regarding ChatGPT relate to the reduced interaction between students and teachers (Limna et al., 2023). Therefore, the deployment of ChatGPT by educators and students requires astuteness in its application, ensuring its ethical, reliable, and efficient use. ...
Article
Full-text available
This study aims to explore research trends and patterns and analyze ChatGPT's impact on education. The methodology employs a mixed-method approach, incorporating bibliometric analysis and a systematic literature review. Research data were sourced from the Scopus database using the keywords "ChatGPT" AND "Education" OR "Learning." The findings indicate that the trend of document publications in the Scopus database related to ChatGPT has seen a notable increase since its introduction in 2022, continuing through 2024. The journal JMIR Medical Education has emerged as the foremost source of citations, making significant contributions. The United States leads the way in article contributions (22.6%), followed by China (9.6%). Countries such as the United Kingdom, Canada, and Italy display high levels of international collaboration, likely enhancing the diversification and quality of research.
... Preliminary studies show marketing students find AI useful for initial research, solving basic problems, debugging code, and checking grammar, but students are unsure if it creates an unfair advantage (Gulati et al., 2024). Limna et al. (2023) noted similar positive perceptions but concerns about accuracy and loss of personal interaction with instructors. Strzelecki (2023) found students comfortable with AI adoption, though results are preliminary due to AI in education's newness. ...
Article
Full-text available
Artificial intelligence tools such as ChatGPT have emerged as a disruptive force in higher education. Stakeholders are debating the integration and relevance of AI in education to improve student learning outcomes. Further investigation is needed to determine not only the pedagogical impact but also address issues such as ethics, bias, and privacy, which may act as barriers to the institutional adoption of AI tools. The purpose of this study was to explore student perceptions toward ChatGPT, including its benefits, challenges, and applications when used in college courses. This study addresses a gap in understanding generative AI's role in education from a student perspective , which can help educators develop effective plans for implementation in academic settings. Inductive thematic analysis was used as a qualitative methodology for analyzing the data, which was conducted partly by using Large Language Models. The findings of this study showed a complex interplay between AI technology, policy, values, and student outcomes that have implications for research and practice. Recommendations are provided to help Marketing educators use AI tools to improve students' learning outcomes and skills related to AI literacy.
... Existing studies have explored chatbot applications across a variety of subjects, with a consensus that these tools offer significant opportunities for enhancing traditional teaching, such as providing foundational mathematics knowledge (Wardat et al., 2023), supporting the design of a 5E-based 7th grade science unit (Cooper, 2023), supporting the development of course materials in geography (Day, 2023), history (Jauhiainen & Guerra, 2023), and physics (K€ uchemann et al., 2023). These supports reduce teachers' professional workload and allow them to focus on activities that guide students' higher-order thinking (Limna et al., 2023). Overall, existing research agrees that integrating AI chatbots can promote a more effective, efficient, and interactive general education system. ...
Article
Full-text available
This study investigated the relationship between perceived usability and perceived credibility of middle school teachers in using artificial intelligence (AI) chatbots. Perceived usability was assessed through four dimensions: perceived usefulness, ease of use, ease of learning, and satisfaction. Perceived credibility was evaluated across three dimensions: source credibility, media credibility, and message credibility. The study employed an online survey method to collect data from 423 middle school teachers and analyzed the data using Pearson correlation. The results revealed a positive correlation between perceived usability and perceived credibility across all dimensions. The correlation coefficients had the lowest value of 0.686 and the highest value of 0.801, showing the strength of associations in the level of strong correlation. When teachers perceive AI chatbots as useful, easy to use, easy to learn, and satisfying, they are more likely to trust these tools and apply them in their professional work. These findings suggest that improving teachers’ usability of AI chatbots can enhance their credibility with these tools. This research offers valuable insights for educational policymakers, technology developers, and school administrators seeking to effectively integrate AI technologies into education.
... Interview questions were crafted based on existing literature relevant to our study's aim [35]. Participants were selected through purposive sampling [36] via pre-existing teacher networks and a snowball method [37] where teachers referred colleagues. ...
Article
Full-text available
This research examines K-12 STEM educators' viewpoints on incorporating ChatGPT within their teaching practices. The study is grounded in two theoretical models: the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Technological Pedagogical Content Knowledge (TPACK) framework. Through semi-structured interviews with nine K-12 STEM teachers in the UAE, the research identifies three main themes: ecosystem support, ease of use, and job enhancement through ChatGPT. Teachers generally appreciate ChatGPT's potential to offer personalised learning experiences, enhance their instructional practices, and reduce logistical burdens. However, the study also uncovers several barriers, including misconceptions about ChatGPT's capabilities and a significant need for professional development in AI education. Educators also raised issues regarding data privacy, the accuracy of responses, and the possibility of reducing students' ability to think critically. The research highlights the importance of developing comprehensive training initiatives to prepare educators to successfully incorporate ChatGPT into their instructional methodologies. The recommendations suggest designing extensive professional development initiatives and conducting additional research to assess the long-term effects of ChatGPT on both teaching and learning processes. By tackling these challenges, the study seeks to support the responsible and efficient implementation of AI tools in K-12 education.
... Schnelles Feedback und praktische Hilfe fördern Neugier und Interesse, zentrale Elemente der Lernmotivation (Silvia, 2006). Außerdem werden Kreativität und relevantes Lernen durch die Anpassungsfähigkeit der KI (Cox & Tzoc, 2023;Limna et al., 2023) unterstützt. Zimmerman (2023 empfiehlt Studierenden, ChatGPT zum Brainstorming oder zur Ideensammlung zu nutzen. ...
Article
Full-text available
Diese Vignettenstudie hatte zum Ziel, den Einfluss von ChatGPT auf die aktuelle Lernmotivation von Studierenden sowie den Einfluss der aktuellen Lernmotivation auf die Technologieakzeptanz der Nutzung von ChatGPT im Studium zu untersuchen. Es wurden Studierende mittels einer Online-Umfrage im Zeitraum von Juli bis November 2023 befragt. Die Befragung umfasste Skalen zur aktuellen Motivation (FAM) sowie ausgewählte Skalen des TAM 3. Insgesamt wurden 111 vollständige Datensätze ausgewertet. Es zeigte sich ein geringer Effekt der ChatGPT-Nutzung auf die aktuelle Lernmotivation, welche wiederum die Akzeptanz von ChatGPT im Studium beeinflusste.
... In this way, whether we are speaking or listening, we will have a stronger sense of presence, and it feels like we are really chatting with people. (P6) Additionally, some participants indicated the low efficiency of chatbots and expressed the chatbots' ill performance negatively from their perspectives, which is aligned with the findings of Limna et al. (2023). As P9 commented: ...
Article
Full-text available
Artificial intelligence-driven chatbots have sparked significant changes in English education, which is challenging for pre-service teachers. To date, it remains unclear what are pre-service English teachers’ perceptions of and needs in integrating chatbots into English education. This study, therefore, explored Chinese pre-service English teachers’ (1) basic understanding of and attitudes toward chatbots, (2) perceptions of chatbots in English education, (3) perceptions of chatbots’ advantages and challenges and (4) needs in integrating chatbots into English teaching. From June to September 2023, 12 Chinese pre-service English teachers were purposefully sampled for semi-structured interviews, and thematic analysis was employed to identify key themes. The findings revealed generally positive attitudes toward chatbots, though teachers had limited understanding. Most teachers believed chatbots could improve language skills, but noted concerns like plagiarism. They emphasized human teachers’ irreplaceability in moral, emotional, and individualized teaching. Teachers also sought policy, training, and social support. These findings will not only help to better understand pre-service teachers’ views concerning integrating chatbots into English education internationally but also shed light on pre-service teacher education and chatbot development.
Article
Full-text available
ChatGPT’s impressive natural language generation capabilities represent a major advance in practical applications of AI-generated information. The potential use cases for ChatGPT are wide-ranging, including assessment setup, translation tasks, and custom source code creation. It can also handle more complex aspects of scientific writing, such as summarizing the literature and paraphrasing text. The difficulties and challenges of using ChatGPT in learning and teaching methods vary from one society to another and from one country to another, and there are many factors. Therefore, this paper aims to investigate the possibility of improving learning and teaching methods using ChatGPT in higher education. It presents the main challenges and notable opportunities that arise from the introduction of ChatGPT in the context of higher education. In line with the aim, the question guiding the study is: “How can learning and teaching methods be improved using ChatGPT in higher education?” To answer this question, a qualitative exploratory case study was conducted at the Department of Information Technology, Faculty of Science, IBB University. An electronic questionnaire containing closed questions was sent to all students. 93 responses were obtained via email, which constituted the sample of participants in this study. The primary contribution of this study is to provide a proposal on how to effectively integrate ChatGPT into higher education and improve learning and teaching methods in key areas.
Article
Full-text available
This position paper explores the potential opportunities and challenges in the adoption of OpenAI’s ChatGPT for scholarly research and publication. ChatGPT was launched in November 2022 for public use, and it has already garnered enormous attention for a variety of applications in academia. Researchers are adopting ChatGPT at different stages of research including idea generation, summarizing literature, and manuscript preparation. Notably, several research articles have even attributed authorship to ChatGPT, sparking a new debate on the role of AI in authorship. We contend that ChatGPT has far-reaching implications for scholarly research and publication going forward. In this paper, we investigate its current use in contemporary research and based on this we outline the opportunities that ChatGPT could potentially offer. We believe that ChatGPT could be leveraged by researchers, journal editors, and reviewers to make the research and publication process more efficient. Later, we discuss the challenges and concerns exposed by ChatGPT that require immediate attention such as AI authorship, unintentional plagiarism, nonexistent references, and threats of international inequalities. We conclude with optimistic expectations for ChatGPT adoption in research in the future.
Article
Full-text available
Developments in the chatbot space have been accelerating at breakneck speed since late November 2022. Every day, there appears to be a plethora of news. A war of competitor chatbots is raging amidst an AI arms race and gold rush. These rapid developments impact higher education, as millions of students and academics have started using bots like ChatGPT, Bing Chat, Bard, Ernie and others for a large variety of purposes. In this article, we select some of the most promising chatbots in the English and Chinese-language spaces and provide their corporate backgrounds and brief histories. Following an up-to-date review of the Chinese and English-language academic literature, we describe our comparative method and systematically compare selected chatbots across a multi-disciplinary test relevant to higher education. The results of our test show that there are currently no A-students and no B-students in this bot cohort, despite all publicised and sensationalist claims to the contrary. The much-vaunted AI is not yet that intelligent, it would appear. GPT-4 and its predecessor did best, whilst Bing Chat and Bard were akin to at-risk students with F-grade averages. We conclude our article with four types of recommendations for key stakeholders in higher education: (1) faculty in terms of assessment and (2) teaching & learning, (3) students and (4) higher education institutions.
Article
Full-text available
In the Artificial Intelligence (AI) age now, foreign language learners can get unlimited support on their learning tasks from advanced AI chatbots, primarily the ChatGPT. At the same time, such a language chatbot intensifies the importance of rethinking learning outcome assessment. Traditional assessments that draw on a teach-and-test-approach are of little use and no longer valid for a comprehensive understanding of students' knowledge and skills that they, by and large, obtain in informal learning settings and contribute to their overall performance. Hence, alternative assessments can reflect more on learners' actual performance that likely involves AI chatbots and yet goes unnoticed by traditional assessment. This paper discusses alternative assessments regarding their nature, forms, characteristics, advantages, and integration into L2 programs. It establishes a foundational theoretical account for future research that would take place when ChatGPT becomes commonplace in the worldwide L2 contexts. It charts new research territories and passes the torch to second and foreign-language learning assessors to reflect on their teaching situations and reimagine L2 programs in light of the affordances of the ChatGPT, which has made a significant breakthrough in learning and teaching languages.
Article
Full-text available
In today’s digital age, education management faces both challenges and opportunities. This review article provides a comprehensive overview of the impact of technology on education management, exploring the ways in which it is transforming educational practices, pedagogy, and administration. The study employed a narrative synthesis method and used several databases such as EBSCO, Google Scholar, Scopus, Web of Science, and ScienceDirect to collect data. The analysis was conducted using the documentary method and content analysis through a systematic review. The findings highlight the significant impact of technology on education management, providing benefits such as improved efficiency, communication, and personalized learning. However, the use of technology also poses some challenges, including high costs, digital divide, and resistance from staff members. As technology continues to evolve, education management must be prepared to embrace the changes and address the challenges for successful implementation. This study underscores the importance of technology in education management and the need for further research in this area to fully leverage its potential.
Article
Full-text available
This paper examines the potential benefits and challenges of using the generative AI model, ChatGPT, in higher education, in the backdrop of the constructivist theory of learning. This perspective-type study presents five benefits of ChatGPT: the potential to facilitate adaptive learning, provide personalised feedback, support research and data analysis, offer automated administrative services, and aid in developing innovative assessments. Additionally, the paper identifies five challenges: academic integrity concerns, reliability issues, inability to evaluate and reinforce graduate skill sets, limitations in assessing learning outcomes, and potential biases and falsified information in information processing. The paper argues that tertiary educators and students must exercise caution when using ChatGPT for academic purposes to ensure its ethical, reliable, and effective use. To achieve this, the paper proposes various propositions, such as prioritising education on the responsible and ethical use of ChatGPT, devising new assessment strategies, addressing bias and falsified information, and including AI literacy as part of graduate skills. By balancing the potential benefits and challenges, ChatGPT can enhance students’ learning experiences in higher education. Keywords: Academic integrity; ChatGPT; constructivism theory of learning; generative AI; higher education; Large Language Model (LLM).
Article
Full-text available
ChatGPT and Bard are AI chatbots based on Large Language Models (LLM) that are slated to promise different applications in diverse areas. In education, these AI technologies have been tested for applications in assessment and teaching. In assessment, AI has long been used in automated essay scoring and automated item generation. One psychometric property that these tools must have to assist or replace humans in assessment is high reliability in terms of agreement between AI scores and human raters. In this paper, the reliability of OpenAI's ChatGPT and Google's Bard LLMs tools against experienced and trained humans in perceiving and rating the complexity of writing prompts is measured. Intraclass correlation (ICC) as a performance metric showed that the reliability of both ChatGPT and Bard was low against the gold standard of human ratings.
Article
Full-text available
Professionals are implementing artificial intelligence (AI) technology in different fields owing to its diverse uses and benefits. Similarly, AI professionals are also beginning to implement AI technology in foreign-language education and second-language learning. Therefore, through a systematic literature review, this paper analyzes the role of AI in helping learners of a second language to master pronunciation. A detailed and in-depth search of different well-known databases was conducted, and of 116 articles, only 39 were selected for this paper. AI algorithms can advance language learning and acquisition in almost every dialect and could be significant for different parties in different ways. For example, organizations could utilize AI technology to develop their workers’ knowledge; individual learners could use AI technology to facilitate their studies anywhere and anytime; and traditional learning institutions could incorporate AI-powered methods of language learning to diversify learners’ opportunities. There are many benefits to employing AI in language learning, particularly in second-language learning.
Article
Full-text available
This study focuses on how distance education can be shaped by ChatGPT, one of the most striking examples of generative AI, which is making progress considering current technological developments. Based on the idea that it will be at the center of our lives very soon with the recent developments in artificial intelligence, the study set out to exhibit specific examples of how it can be used in distance education, whose importance is better understood with the pandemic process. The prompts and outputs related to each particular case were explained in detail, and the resulting products were evaluated regarding their educational benefits and limitations. The findings emphasize the need to harness technology, cultivate a sense of community, and encourage educators to pursue continual professional development to improve the quality and participation of distance scientific education. Additionally, the study underscores the significance of ongoing research, evaluation, policy development, and implementation to create a robust framework that supports the growth of distance science education responsibly and sustainably. The study's outputs were surprisingly creative, and it was concluded that ChatGPT could be very useful for both learners and educators in distance education, even though it is stated that ChatGPT has current limitations. This research contributes valuable insights into distance science education, providing practical guidance for educators, researchers, and policymakers alike.
Article
Full-text available
This research aims to gain a deeper understanding of the views and rationality of lecturers in using ChatGPT in learning by explaining how lecturers use it in learning and their reasons for choosing or not choosing the technology. In this study, lecturers will be interviewed and asked to share their experiences and views on it. The data collected will be analyzed and interpreted to gain a deeper understanding of how the use of ChatGPT affects learning and why lecturers choose or do not choose the technology. In the interview results, ChatGPT helps users in finding information, ideas, translating texts, and providing alternative questions to deepen the understanding of the material. It is important to consider and verify information with more reliable and accurate sources. The use of ChatGPT in learning can be an interesting and effective alternative, but users also need to remain critical and selective in utilizing it. In further research, more interviews and case studies need to be conducted to obtain a more comprehensive understanding of the use of ChatGPT in learning. Although ChatGPT has limitations, respondents consider its use to improve productivity and learning efficiency. Therefore, the use of ChatGPT can be considered as an attractive alternative in learning, while maintaining a critical approach in utilizing it and verifying the information provided.
Article
Full-text available
This study investigates the implications of ChatGPT, an AI-powered language model, for students and universities by examining the perceptions of scholars and students. The responses of seven scholars and 14 PhD students from four countries – Turkey, Sweden, Canada and Australia – are analysed using a thematic content analysis approach. Nine key themes emerge from the findings. According to their frequency of recurrence, these themes are: “Evolution of learning and education systems”, “changing role of educators”, “impact on assessment and evaluation”, “ethical and social considerations”, “future of work and employability”, “personalized learning”, “digital literacy and AI integration”, “AI as an extension of the human brain”, and “importance of human characteristics”. The potential benefits of AI in education as well as the challenges and barriers that may arise from its integration are discussed in the context of existing literature. Based on these findings, suggestions for future research include further exploration of the ethical implications of AI for education, the development of strategies to manage privacy concerns, and the investigation of how educational institutions can best prepare for the integration of AI technologies. The paper concludes by emphasizing the importance of understanding the potential opportunities and challenges associated with AI in higher education and the need for continued research in this area.