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WILL THE SCHOOL OF THE FUTURE LOOK LIKE? THE ROLE OF
AI AND THE TEACHER
Abduvaliyeva Zulayxo Turdiali qizi
Teacher of English at Politexnikum (Polytechnic College) № 1,
Rishton District, Fergana Region
Abstract:
This article explores the evolving landscape of education in the context of rapid
advancements in Artificial Intelligence (AI). It examines how AI technologies are reshaping
teaching and learning processes, highlighting both their transformative potential and inherent
limitations. The study emphasizes the irreplaceable role of human teachers as mentors,
motivators, and ethical guides, while envisioning a future where AI and educators collaborate to
create more personalized, efficient, and inclusive learning environments. Furthermore, the
article discusses the challenges of integrating AI in education, such as ethical concerns, teacher
training, and equitable access, underscoring the importance of balanced human-AI interaction
for the sustainable development of educational systems.
Key words
: Artificial Intelligence, education technology, personalized learning, teacher’s role,
future school, AI ethics, digital literacy, human-AI collaboration, inclusive education.
As we step into the third decade of the 21st century, education systems across the globe face a
pivotal moment of transformation. The convergence of digital technologies, globalization, and
changing societal needs is rapidly reshaping what it means to teach and learn. Among the most
influential forces driving this shift is
Artificial Intelligence (AI)
— a set of technologies
capable of performing tasks that typically require human intelligence, such as learning,
reasoning, problem-solving, and even language understanding. These technologies are
increasingly finding their way into classrooms, virtual learning environments, and
administrative functions of schools.
The COVID-19 pandemic accelerated the adoption of educational technologies and
highlighted both the potential and the limitations of current schooling models. With millions of
students and teachers adapting to remote and hybrid learning, the role of technology in
education has never been more central. As AI continues to evolve and integrate into various
domains of life, it raises important questions about the
future architecture of schools
, the
nature of
teaching and learning
, and the changing dynamics of the
teacher-student
relationship
.
What will the school of the future look like? Will AI replace teachers or simply change
their responsibilities? How can educators prepare for a future where intelligent machines are
co-teachers, content creators, or even assessment tools? These questions are no longer
speculative — they are urgent. Understanding how AI can be responsibly and effectively
implemented in education is critical for shaping an equitable, accessible, and meaningful future
for learners.
The rise and potential of artificial intelligence in education.
Artificial Intelligence
(AI) is rapidly becoming a transformative force across industries, and education is no exception.
AI-powered tools are now being used to facilitate personalized learning, adaptive assessments,
intelligent tutoring systems, and automated administrative processes. Unlike traditional
educational methods, AI can
analyze vast datasets in real time
to understand a student’s
learning patterns, identify areas of struggle, and adjust content delivery accordingly. For
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCHERS
ISSN: 3030-332X Impact factor: 8,293
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example, platforms like Knewton, Smart Sparrow, and Duolingo Max personalize lessons based
on user interaction, creating an individualized learning experience for each student.
Moreover, AI can take over repetitive and time-consuming tasks such as
grading
quizzes
,
generating reports
,
monitoring attendance
, and even
predicting student outcomes
through data analytics. This automation not only increases operational efficiency but also gives
teachers more time to focus on the human aspects of education: mentoring, counseling, and
critical thinking development.
In virtual and blended learning environments, AI can enhance interactivity by providing
chatbots
that answer students’ questions 24/7,
speech-to-text
tools for students with
disabilities, and
immersive simulations
using augmented or virtual reality. These innovations
allow learners to experience historical events, conduct science experiments, or explore
mathematical concepts in highly engaging ways.
AI also supports
language learning
, helping non-native speakers acquire new languages
through accent correction, grammar suggestions, and context-sensitive vocabulary feedback.
Thus, AI can democratize access to high-quality education, especially in underserved or remote
regions, where experienced teachers or learning resources are limited.
The teacher’s evolving role in the AI-powered classroom.
Despite AI’s growing
capabilities, it is clear that machines cannot and should not replace human educators. Teachers
are not merely content providers — they are emotional guides, ethical mentors, motivators, and
facilitators of social interaction. Their ability to understand student emotions, build trust, and
respond empathetically is beyond the reach of current AI technologies.
The modern teacher’s role is evolving from a
lecturer
to a
learning architect
, someone
who designs meaningful educational experiences by combining digital tools with interpersonal
strategies. In AI-assisted classrooms, teachers may:
Curate and interpret AI-generated feedback,
Customize learning experiences based on student data,
Facilitate collaborative and project-based learning,
Promote critical thinking and media literacy,
Teach digital citizenship and responsible technology use.
One of the key responsibilities of educators will be to
teach students how to learn
in a
digital environment. This includes managing distractions, evaluating the credibility of
information, and interacting responsibly with AI systems. Moreover, as ethical concerns grow
around AI — including algorithmic bias, privacy violations, and over-reliance on automation —
teachers must guide students in navigating these issues with integrity and awareness.
Importantly, the
emotional well-being
of students cannot be entrusted to machines.
Teachers provide comfort, encouragement, and human connection — elements essential for
motivation, resilience, and lifelong learning. In times of crisis or social instability, the presence
of a trusted adult in a student’s life is invaluable.
Building the future: A human-AI collaborative model of education.
The future of
education should not be framed as a competition between humans and machines, but as a
collaboration between AI and educators
. In this model, AI becomes an assistant rather than a
replacement — enhancing the teacher’s reach, insight, and effectiveness.
For this vision to succeed, several conditions must be met:
Teacher Training and Digital Literacy
: Educators need professional development to
understand and utilize AI tools effectively. This includes technical skills, data literacy,
and knowledge of ethical implications.
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCHERS
ISSN: 3030-332X Impact factor: 8,293
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Inclusive and Ethical AI Design
: Developers must ensure that AI systems are free
from bias, culturally sensitive, and accessible to diverse learners, including those with
disabilities or language barriers.
Policy and Infrastructure Support
: Governments and educational institutions must
invest in digital infrastructure, data security, and regulatory frameworks that protect
student privacy while enabling innovation.
Student Agency and Creativity
: Learners should not become passive consumers of AI
content. The curriculum must promote creativity, problem-solving, and interdisciplinary
thinking — skills that remain uniquely human and vital for the future workforce.
Hybrid models of education — combining online platforms, AI tutors, and in-person
mentorship — are already being piloted in various parts of the world. For example, in Estonia,
AI is used to recommend personalized homework tasks, while in Singapore, AI systems help
identify students needing psychological support based on language patterns in their writing.
These examples show how a
blended human-AI ecosystem
can create more effective,
responsive, and humane education systems.
The future of education stands at a crossroads shaped by rapid technological progress
and evolving societal expectations. While AI offers unprecedented possibilities to tailor
learning experiences and streamline educational processes, the essence of schooling will always
remain fundamentally human. The unique capacities of teachers — their empathy, ethical
judgment, and ability to inspire — form the cornerstone of meaningful education and cannot be
substituted by technology.
Looking ahead, successful educational systems will be those that embrace innovation
without losing sight of human values. This requires a paradigm shift not only in how
technology is integrated into classrooms but also in how educators, policymakers, and
communities collaborate to redefine educational goals. Schools will need to become dynamic
ecosystems where AI supports creativity, critical thinking, and emotional development, rather
than simply delivering content. Moreover, addressing issues such as equity, access, and digital
literacy is essential to ensure that the benefits of AI-enhanced education reach all learners,
regardless of their background. Preparing teachers to lead in this new environment is equally
critical; they must be equipped to leverage technology as a tool for empowerment, not as a
substitute for their professional expertise.
Ultimately, the school of the future will be a place where technology and humanity
coexist in harmony — fostering not only knowledge acquisition but also the holistic growth of
learners as adaptive, thoughtful, and socially responsible individuals. The ongoing dialogue
between AI capabilities and human insight will define this future, ensuring that education
remains a deeply personal and transformative experience for generations to come.
References:
1. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. Artificial Intelligence and
Education: Promises and Implications for Teaching and Learning. Centre for Technology
Enhanced Learning, UCL Institute of Education, London, 2016.
2. Holmes, W., Bialik, M., & Fadel, C. Artificial Intelligence in Education: Promises and
Implications for Teaching and Learning. Boston: Center for Curriculum Redesign, 2019.
3. Williamson, B., & Piattoeva, N. Objectivity as Standardization in Data-Driven Education
Governance: Grasping the Global through the Local. Research in Education, 2020, Vol.
102, Issue 1, pp. 1-18.
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCHERS
ISSN: 3030-332X Impact factor: 8,293
Volume 11, issue 2, May 2025
https://wordlyknowledge.uz/index.php/IJSR
worldly knowledge
Index:
google scholar, research gate, research bib, zenodo, open aire.
https://scholar.google.com/scholar?hl=ru&as_sdt=0%2C5&q=wosjournals.com&btnG
https://www.researchgate.net/profile/Worldly-Knowledge
https://journalseeker.researchbib.com/view/issn/3030-332X
611
4. Heffernan, N. T., & Heffernan, C. L. The ASSISTments Ecosystem: Building a Platform
that Brings Scientists and Teachers Together for Minimally Invasive Research on Human
Learning and Teaching. International Journal of Artificial Intelligence in Education, 2014,
Vol. 24, No. 4, pp. 470-497.
5. Chen, L., Chen, P., & Lin, Z. Artificial Intelligence in Education: A Review. IEEE Access,
2020, Vol. 8, pp. 75264-75278.
6. Selwyn, N. Should Robots Replace Teachers? AI and the Future of Education. Polity Press,
Cambridge, 2019.
7. Luckin, R. Machine Learning and Human Intelligence: The Future of Education for the
21st Century. UCL IOE Press, London, 2018.
8. UNESCO. Artificial Intelligence in Education: Challenges and Opportunities for
Sustainable Development. UNESCO Publishing, Paris, 2021.
