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Foydalanilgan adabiyotlar ro‘yxati:
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Journal of Educational Technology Development and Exchange, 14(1), 99-110.
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Chen, X., Li, L., Li, X., & Li, J. (2021). A review of personalized learning
based on artificial intelligence. International Journal of Emerging Technologies in
Learning, 16(4), 35-47.
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Liu, Y., Zhao, S., Li, J., & Zhang, B. (2020). Intelligent chatbots in education:
A review of recent advances. Educational Technology Research and Development,
68(1), 87-104.
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Singh, V., & Singh, A. (2021). Role of artificial intelligence in educational
management. Journal of Education and Practice, 12(12), 78- 85.
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Igbokwe, Innocent. (2023). Application of Artificial Intelligence (AI) in
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ARTIFICIAL INTELLIGENCE IN EDUCATION: PAVING THE WAY FOR
A MORE EFFECTIVE LEARNING EXPERIENCE
(DSc), prof. Mamatov Narzullo Solidjonovich
“TIIAME” National Research University
Ibrokhimov Sanjar Rustam ugli
Namangan state university
Abstract:
Artificial Intelligence in Education (AIED) is rapidly evolving,
offering innovative possibilities to transform the way we approach learning and
teaching. While AIED initially focused on automating traditional educational practices,
its potential extends far beyond that. This review paper explores how AIED can offer
more than mere automation and why it is crucial to consider its role in supporting
collaborative learning, student forum monitoring, continuous assessment, AI learning
companions, AI teaching assistants, and as a research tool to enhance the learning
sciences. By examining these facets, we aim to shed light on the exciting opportunities
that AIED can bring to education while acknowledging the complex challenges and
ethical considerations involved.
Keywords:
Artificial Intelligence in Education (AIED), Innovative possibilities,
Transforming learning and teaching, Automation in education, Collaborative learning.
Introduction
The field of Artificial Intelligence in Education (AIED) has seen significant
growth and development in recent years. Initially, AIED aimed to automate existing
educational practices, but it has the potential to offer much more. In this review paper,
we explore how AIED can revolutionize education by going beyond automation and
fostering a more effective and inclusive learning experience. We delve into several key
areas where AIED can make a substantial impact, including collaborative learning,
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student forum monitoring, continuous assessment, AI learning companions, AI
teaching assistants, and its role as a research tool for advancing the learning sciences
[9].
Collaborative Learning
Collaborative learning is known to enhance learning outcomes, but effective
collaboration can be challenging to achieve [1]. AIED can play a pivotal role by
automating the formation of student groups based on their individual profiles and
learning needs [2]. It can also act as a facilitator, monitoring group activities,
identifying comprehension issues, and providing targeted support. Furthermore, virtual
agents can actively contribute to group discussions or connect students with relevant
materials from the semantic web. While promising, implementing AIED in
collaborative learning still faces technical hurdles.
Student Forum Monitoring
Online education often involves student forums, generating massive amounts of
posts that require monitoring and moderation. AIED can assist by triaging forum posts,
automating responses to routine queries, and referring complex issues to human tutors.
It can also analyze and aggregate similar posts to provide more efficient responses and
identify sentiment in posts to detect emotional states or inappropriate content. AIED
has the potential to keep both students and tutors well-informed about relevant
discussions and emerging themes [3].
Continuous Assessment
Traditional high-stakes examinations have limitations in evaluating a student's
comprehensive understanding and can induce anxiety. AIED can address this by
continuously monitoring student progress and aggregating data on their learning
experiences, both formal and informal. This data can create comprehensive profiles of
individual learners, which can be visualized in AI-driven e-portfolios. Continuous
assessment provides a more holistic view of a student's capabilities, reducing the
emphasis on one-time exams [4,5].
AI Learning Companions
AIED can offer lifelong learners personalized AI-driven learning companions
that adapt to their needs and goals. These companions can provide instructional
activities, track progress, offer guidance, and connect learners to relevant resources.
Leveraging the capabilities of smartphones and AI technologies, every student can
have their own personalized learning partner, enriching their educational journey from
kindergarten to adulthood [6].
AI Teaching Assistant
Contrary to replacing teachers, AIED can augment their skills and expertise by
serving as AI teaching assistants (AI TAs). AI TAs can automate administrative tasks,
provide resources, and monitor student performance [7]. They offer a supportive role,
allowing teachers to focus on more meaningful aspects of education. A future
classroom scenario with AI TAs could revolutionize the teaching and learning
experience.
AIED as a Research Tool
AIED can be a valuable tool for advancing the learning sciences. It aligns with
fields like learning analytics and educational data mining, offering insights into student
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behavior, learning difficulties, and effective learning designs. Researchers can use
AIED to better understand how students learn and improve educational practices. For
example, machine learning can categorize struggling students at a granular level,
enabling tailored support [8].
Conclusion
Artificial Intelligence in Education has the potential to reshape education by
offering more than just automation. From supporting collaborative learning to
continuous assessment, AI learning companions, and AI teaching assistants, AIED can
enhance the educational experience. Additionally, it serves as a powerful research tool
to advance the learning sciences. However, ethical considerations and technical
challenges must be addressed as we navigate this transformative journey in education.
Embracing the full potential of AIED requires a commitment to innovation,
collaboration, and a student-centric approach.
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1.
Luckin, R., et al. 2017. Solved! Making the Case for Collaborative Problem-
Solving.
Nesta.
https://www.nesta.org.uk/report/solved-making-the-case-for-
collaborative-problem-solving/
2.
The Universitat Politècnica de València have been researching just such a
system: Alberola, J.M., del Val, E., Sanchez-Anguix, V., Palomares, A., and Teruel,
M.D. 2016. “An artificial intelligence tool for heterogeneous team for- mation in the
classroom.”
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https://doi.org/10.1016/j.knosys.2016.02.010
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Goel, A.K., and Joyner, D.A. 2017. “Using AI to teach AI: Lessons from an
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testing practices.” Educational Horizons 83 (3): 214. Evolving Assessments for a 21st
Century Education.
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Atlantic. Available at: https://www.theatlantic.com/magazine/archive/2018/11/alexa-
how-will-you-change-us/570844/ (Accessed: 10 October 2023).
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Luckin. R., et al. Intelligence Unleashed, 11. https:/
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Will Transform How We Live, Work and Think. John Murray.
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Globethics Publications. (n.d.). Artificial intelligence in education - UCL
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