Injuruty: Interdiciplinary Journal and Humanity
Volume 2, Number 3, March 2023
e-ISSN: 2963-4113 and p-ISSN: 2963-3397
Role of AI in Education
Alexandara Harry
Independent Researcher, Washington DC USA.
Email: alexandraharry37@gmail.com
Abstract
Artificial intelligence (AI) has the potential to revolutionize the way we learn and teach, making it more
personalized, engaging, and efficient. AI in education refers to the use of artificial intelligence technologies, such
as machine learning and natural language processing, to enhance the learning experience. It involves the use of
algorithms that analyze data, identify patterns, and make predictions, enabling educators to personalize learning
for each student. The potential benefits of using AI in education are significant. Personalized learning, one of the
most significant advantages of AI in education, can lead to better student outcomes, as students can learn at their
own pace and in a way that suits their learning style. Intelligent tutoring systems, chatbots, and automated grading
and assessment can increase efficiency, save teachers' time, and provide more accurate and consistent feedback.
However, there are also challenges associated with using AI in education. Privacy and security concerns, lack of
trust, cost, and potential bias are some of the challenges that need to be addressed. Ethical considerations such as
ensuring accessibility, transparency, and fairness in AI-based education systems also need to be taken into
account. Despite these challenges, the potential of AI in education is immense. AI can provide better data analysis,
enabling educators to make data-driven decisions. In this review we described role of AI in management,
promotion of education which describe the effect of AI in education sector.
Keywords: AI, Education, Personalized learning, chatbots
INTRODUCTION
Artificial Intelligence (AI) has been transforming various industries, and education is no
exception (Yeruva, 2023). AI has the potential to revolutionize the way we learn and teach,
making it more personalized, engaging, and efficient (Alneyadi, Wardat, Alshannag, & Abu-
Al-Aish, 2023). In this review article, we will explore the role of AI in education and how it is
changing the face of learning (T. Vinoth Kumar et al., 2022) (Samad, Hamza, Muazzam,
Ahmad, et al., 2022). AI in education refers to the use of artificial intelligence technologies,
such as machine learning and natural language processing, to enhance the learning experience
(Alneyadi et al., 2023). It involves the use of algorithms that analyze data, identify patterns,
and make predictions, enabling educators to personalize learning for each student (Khan et al.,
2022). The potential benefits of using AI in education are significant. Personalized learning,
one of the most significant advantages of AI in education, can lead to better student outcomes,
as students can learn at their own pace and in a way that suits their learning style (Shrivastava
et al., 2023). Intelligent tutoring systems, chatbots, and automated grading and assessment can
increase efficiency, save teachers' time, and provide more accurate and consistent feedback.
However, there are also challenges associated with using AI in education. Privacy and security
concerns, lack of trust, cost, and potential bias are some of the challenges that need to be
addressed (Jarrah, Wardat, & Gningue, 2022). Ethical considerations such as ensuring
accessibility, transparency, and fairness in AI-based education systems also need to be taken
into account (AlArabi, Tairab, Wardat, Belbase, & Alabidi, 2022) (Tariq et al., 2022). Despite
these challenges, the potential of AI in education is immense (M Al-Bahrani, Gombos, & Cree,
2018). AI can provide better data analysis, enabling educators to make data-driven decisions.
It can also improve student engagement by providing interactive and engaging learning
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experiences (Yang et al., 2022) (Wardat, Belbase, & Tairab, 2022). With the help of AI,
education can be made more accessible and inclusive, enabling learners of all backgrounds to
access high-quality education. In the following sections of this review article, we will delve
deeper into the applications of AI in education, including personalized learning, intelligent
tutoring systems, chatbots, and grading and assessment (Madasamy, Raja, AL-bonsrulah, &
Al-Bahrani, 2022). We will also discuss the benefits and challenges of using AI in education
and the ethical considerations that need to be taken into account. Finally, we will explore the
future of AI in education and the opportunities it presents for innovation and growth.
METHOD RESEARCH
The research method used in this study is qualitative descriptive method. The
type of data used in this study is qualitative data, which is categorized into two types,
namely primary data and secondary data. Data sources are obtained through library
study techniques that refer to sources available both online and offline such as:
scientific journals, books and news sourced from trusted sources. These sources are
gathered based on discussion and linked from one piece of information to another.
The data collection techniques used in this study were observation, interview and
research. This data is analyzed and then conclusions are drawn.
RESULT AND DISCUSSION
Personalized Learning
The use of artificial intelligence (AI) in education has enabled personalized
learning, revolutionizing the way students learn (Rana et al., 2022). Personalized
learning is a teaching method that tailors learning experiences to each student's
individual needs, strengths, weaknesses, and interests (Samad, Hamza, Muazzam,
Ahmer, et al., 2022). Personalized learning uses technology to adapt instruction to
each student's level and pace of learning (Zarei et al., 2022). AI plays a critical role in
personalized learning by using machine learning algorithms to analyze data and
identify patterns in students' learning behaviors, preferences, and achievements
(Samad, 2022). AI can then use this data to provide tailored learning experiences that
meet the specific needs of each student (Samudrala et al., 2022). For example, AI can
recommend appropriate learning resources, suggest areas for improvement, and
adjust the difficulty level of learning tasks. One of the primary benefits of personalized
learning is that it helps to ensure that each student receives the support and guidance
they need to reach their full potential. Personalized learning can help struggling
students catch up, while advanced students can be challenged at their level (Gningue,
Peach, Jarrah, & Wardat, 2022). By providing a personalized learning experience,
students are more engaged and motivated to learn, which can lead to better academic
performance and higher retention rates (Al-Abboodi, Fan, Mahmood, & Al-Bahrani,
2021). AI-based learning platforms can provide personalized learning experiences in
several ways (Ibrahim, Al-Awkally, Samad, Zaib, & Hamza, 2022). For example, AI
can analyze students' past performance to identify areas of difficulty and provide
targeted support in those areas (Alarabi & Wardat, 2021). AI can also adapt to the
student's learning pace, slowing down or speeding up instruction as necessary
(Mohammed Al-Bahrani, Alhakeem, & Cree, 2020). Furthermore, AI can provide
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customized feedback on students' progress and offer suggestions for improvement,
leading to a more individualized and effective learning experience. AI-based
personalized learning has been successfully implemented in various educational
contexts, such as K-12 schools, higher education, and corporate training (Mohammed,
Samad, & Omar, 2022). For example, Carnegie Learning's AI-powered math software
has been shown to improve student performance in math by up to 30%. Similarly,
Duolingo's AI-based language learning platform provides a personalized learning
experience tailored to each student's proficiency level, interests, and learning style
(Al‐Bahrani, Majdi, Abed, & Cree, 2022). Despite the potential benefits of
personalized learning with AI, there are some challenges that need to be addressed.
One challenge is the need for reliable and accurate data to inform the AI algorithms
(Wu et al., 2022). The quality of the data can affect the accuracy of the personalized
learning experience, so it is important to ensure that the data is accurate and up-to-
date. Another challenge is the need for training and professional development for
teachers to effectively implement AI-based personalized learning (Zahmatkesh et al.,
2022). Teachers need to be trained on how to use the AI tools and how to interpret and
use the data generated by the algorithms. AI-based personalized learning has the
potential to transform the way students learn and achieve their full potential.
Personalized learning can provide tailored support to each student, leading to better
academic performance, higher retention rates, and increased engagement. AI can
provide customized feedback and suggestions for improvement, enabling a more
individualized and effective learning experience (Jarrah, Almassri, Johnson, &
Wardat, 2022). While there are challenges that need to be addressed, the benefits of
AI-based personalized learning in education are significant and promising
(Balamurugan et al., 2022) (Anjan Kumar, Singh, & Al-Bahrani, 2022).
Chatbots
Chatbots are computer programs designed to simulate human conversation,
enabling them to interact with people through text or voice interfaces (Sreenivasu et
al., 2023). In recent years, chatbots have been increasingly used in education,
providing personalized support to students, automating administrative tasks, and
offering new opportunities for engagement (Yeruva, Choudhari, et al., 2022). One of
the primary benefits of using chatbots in education is their ability to provide
personalized support to students. Chatbots can act as virtual tutors, providing instant
feedback, answering questions, and guiding students through their learning journey
(Sridhar et al., 2022). Chatbots can also provide personalized recommendations for
learning resources, suggest areas for improvement, and track progress, providing a
more individualized learning experience. Another benefit of using chatbots in
education is their ability to automate administrative tasks (Mohammed Al-Bahrani,
Bouaissi, & Cree, 2022). Chatbots can handle routine tasks such as scheduling,
grading, and answering frequently asked questions, saving teachers' time and
enabling them to focus on more high-value tasks such as teaching and mentoring
(Gningue et al., 2022). This automation can also help to reduce administrative errors
and inconsistencies, ensuring that tasks are completed efficiently and accurately.
Chatbots can also offer new opportunities for engagement in education (Patil, Raut,
Pande, Yeruva, & Morwani, 2022). By providing a conversational interface, chatbots
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can make learning more interactive and engaging, promoting active learning and
increasing student motivation. Chatbots can also be used to gamify learning, offering
rewards and incentives for completing tasks and achieving learning goals (Stoica &
Wardat, 2022). Despite the benefits of chatbots in education, there are some challenges
that need to be addressed (Abbas, Al-abady, Raja, AL-bonsrulah, & Al-Bahrani, 2022).
One challenge is the need to ensure that chatbots are designed with a student-centered
approach, taking into account students' needs, interests, and learning styles (Al-
Abboodi, Fan, Mhmood, & Al-Bahrani, 2022). Chatbots also need to be designed to
promote accessibility, ensuring that all students can access and use the technology.
Another challenge is the need to ensure that chatbots are accurate and reliable,
providing correct information and avoiding biases or errors. Several educational
institutions and companies have already implemented chatbots in their education
systems (Reddy Yeruva et al., 2023). For example, Georgia State University
implemented a chatbot named "Pounce," which provides personalized support to
students, answering questions and providing guidance on academic and
administrative matters. The University of Adelaide in Australia developed a chatbot
named "MyUni," which provides support to students on various administrative
matters, such as enrollment, timetables, and course information (Mohammed Al-
Bahrani, 2019) (Yeruva, Durga, et al., 2022). Similarly, Duolingo's language learning
chatbot provides conversational language practice and feedback to students (Gningue
et al., 2022).
AI in Grading and Assessment Process
AI can automate the grading and assessment process, providing instant feedback
to students and saving educators time and effort (AlAli, Wardat, & Al-Qahtani, 2023).
AI algorithms can analyze student work and provide feedback based on pre-defined
criteria, enabling students to receive immediate feedback on their performance (M Al-
Bahrani et al., 2018) (Li et al., 2022). One example of AI-powered automated grading
is the use of automated essay grading systems (Stoica & Wardat, 2021). These systems
use natural language processing and machine learning algorithms to analyze student
essays and provide instant feedback and scoring. Benefits of AI in Education:
Personalized Learning, Increased Efficiency, Improved Student Engagement, and
Better Data Analysis The use of AI in education offers several benefits, including
personalized learning , While there are many benefits to incorporating AI in
education, there are also several challenges and concerns that need to be addressed .
Benefits of AI in Education
Personalized Learning
AI can help personalize the learning experience for each student, allowing them
to learn at their own pace and according to their individual needs and abilities. This
can lead to improved learning outcomes and increased student engagement.
Increased Efficiency
AI can automate repetitive tasks such as grading, data analysis, and
administrative tasks, freeing up time for teachers and students to focus on more
meaningful tasks.
Improved Student Engagement
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Role of AI in Education
AI can help improve student engagement by providing interactive and engaging
learning experiences. For example, chatbots and virtual assistants can make learning
more fun and interactive, and adaptive learning technologies can help students stay
engaged by presenting material at their level of understanding. Better Data Analysis:
AI can analyze large amounts of data and provide insights into student performance,
allowing teachers to better understand their students and tailor their instruction
accordingly. This can lead to improved learning outcomes and better student
performance.
Challenges of AI in Education:
Privacy and Security Concerns
The collection and analysis of large amounts of personal data from students
could pose a risk if it falls into the wrong hands. Institutions must ensure that they are
taking appropriate measures to protect students' privacy and prevent data breaches.
Lack of Trust
Students may be hesitant to accept grades or feedback generated by an AI system,
preferring to have human input and evaluation. It is important to establish trust with
students and make them feel comfortable with the technology.
Cost
AI systems can be expensive to implement and maintain, which can be a
challenge for educational institutions that are already facing budget constraints.
Institutions must carefully consider the costs and benefits of implementing AI systems
in their classrooms.
Potential Bias
AI systems can be biased, particularly if they are trained on biased data. This can
result in unfair treatment of certain students and perpetuate existing inequalities.
Institutions must ensure that their AI systems are unbiased and do not perpetuate
existing inequalities.
Ethical Considerations
Ensuring Accessibility: AI-based education systems must be designed with
accessibility in mind, ensuring that all students, including those with disabilities, can
access and use the technology.
Transparency
AI systems must be transparent, with clear explanations of how they make
decisions and why. This can help build trust with students and ensure that they
understand the technology.
Fairness
AI-based education systems must be fair, ensuring that all students are treated
equally and not discriminated against based on their race, gender, or other factors.
Future of AI in Education:
The future of AI in education is bright, with opportunities for innovation and
growth. AI has the potential to transform the way we teach and learn, making
education more personalized, efficient, and effective. In the future, we can expect to
see more advanced AI systems that can understand and respond to human emotions,
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provide more nuanced feedback, and even create personalized lesson plans for each
student.
CONCLUSION
While there are many benefits to incorporating AI in education, there are also
several challenges and concerns that need to be addressed. Institutions must carefully
consider the costs and benefits of implementing AI systems in their classrooms and
ensure that they are taking appropriate measures to protect students' privacy and
prevent bias. By balancing the benefits and challenges of AI in education, we can
create a more personalized, efficient, and effective learning experience for all students.
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Erwan Seti Nugroho, Siti Hamidah Rustiana, Haris Sarwoko (2023)
First publication right:
Injurity - Interdiciplinary Journal and Humanity
This article is licensed under a Creative Commons Attribution-ShareAlike 4.0
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