STUDENTLERDI BIRLESTIRIW: XALÍQARALÍQ IZERTLEWLER HÁM PÁNLER BOYINSHA BIRGE
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learners feel more at ease, thus fostering a more productive and receptive environment for language
acquisition. The use of familiar characters, consistent settings, and culturally relatable scenarios
further supports learners in constructing meaning from spoken input, even when their vocabulary or
grammar knowledge is still developing.
Ultimately, this research supports the conclusion that cartoons and animated stories are valuable
tools for enhancing listening comprehension in language learners. When thoughtfully selected and
strategically implemented, these materials can play a central role in fostering both linguistic
competence and learner engagement. Teachers are encouraged to incorporate animated content into
their language teaching practices, not merely as a supplementary resource, but as a core component
of a communicative and multimodal approach to language instruction. Continued exploration of this
approach, including its application with different age groups and proficiency levels, can further
contribute to a deeper understanding of how multimedia content supports language development in
diverse learning contexts.
REFERENCES:
1.
Brewster, J., Ellis, G., & Girard, D. (2002).
The primary English teacher’s guide
(New ed.).
Penguin English.
2.
Canning-Wilson, C. (2000).
Practical aspects of using video in the foreign language
classroom
. The Internet TESL Journal, 6(11). Retrieved from http://iteslj.org/Articles/Canning-
Video.html
3.
Krashen, S. D. (1982).
Principles and practice in second language acquisition
. Pergamon.
4.
Lonergan, J. (1984).
Video in language teaching
. Cambridge University Press.
5.
Mayer, R. E. (2001).
Multimedia learning
. Cambridge University Press.
6.
Paivio, A. (1986).
Mental representations: A dual coding approach
. Oxford University
Press.
7.
Rost, M. (2002).
Teaching and researching listening
. Pearson Education.
8.
Vandergrift, L. (2007). Recent developments in second and foreign language listening
comprehension research.
Language Teaching
, 40(3), 191–210.
https://doi.org/10.1017/S0261444807004338
9.
Wright, A., Betteridge, D., & Buckby, M. (2005).
Games for language learning
(3rd ed.).
Cambridge University Press.
10.
Yuksel, D., & Tanriverdi, B. (2009). Effects of watching captioned movie clip on vocabulary
development of EFL learners.
The Turkish Online Journal of Educational Technology
, 8(2), 48
INTEGRATING ARTIFICIAL INTELLIGENCE INTO EDUCATIONAL PRACTICE:
BENEFITS AND RISKS
Isakova Madina Iklasovna
The 1st year student, Berdakh KarSU
Kewlimjaeva Gulmira Qonaqbaevna
Scientific adviser, Teacher, Karakalpak State University
Abstract:
This article explores the significance of artificial intelligence in the education sector,
focusing on its potential, current applications, and future developments. It discusses how AI can
personalize learning experiences, enhance curricula, introduce virtual assistants, and broaden access
to remote education. Additionally, the article highlights AI's role in making global education more
inclusive, supporting teacher training, and addressing ethical concerns in the field. It provides a
comprehensive overview of how AI can improve educational efficiency and its broader social impact.
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Keywords:
artificial intelligence, educational technologies, personalized learning, distance
learning, curricula, teacher training
The integration of artificial intelligence into education necessitates an increase in the number of highly
skilled professionals. Experts proficient in their fields will play a crucial role in the widespread
adoption of AI across various sectors. In Uzbekistan, the field of Digital Technologies and Artificial
Intelligence has officially been added to the list of scientific and pedagogical specialties for training
highly qualified personnel, and a formal description of this specialty has been developed. Furthermore,
a postgraduate program in this specialty has been launched at the Tashkent University of Information
Technologies named after Muhammad al-Khwarizmi, as well as at the Research Institute for the
Development of Digital Technologies and
Artificial Intelligence. Artificial intelligence enables the customization of educational content to
suit individual students’ learning styles, pace, and preferences. Adaptive learning platforms and
intelligent tutoring systems analyze student behavior and performance data to deliver personalized
instruction, helping learners overcome specific challenges. For instance, AI can detect when a student
is struggling with particular concepts and automatically adjust the difficulty level or provide
alternative explanations. This individualized approach increases student engagement, knowledge
retention, and long-term academic success.
AI plays a significant role in content development and curriculum design. AI-powered tools assist
educators in generating dynamic teaching materials, creating interactive lesson plans, and aligning
content with students’ abilities and learning objectives. Algorithms can analyze large datasets to
identify trends and knowledge gaps, allowing educators to adapt curricula in real time. Moreover, AI
supports multilingual content delivery, making educational resources accessible to a broader audience.
The integration of AI-powered virtual assistants is transforming traditional classroom dynamics.
These digital agents handle administrative tasks such as scheduling, grading, and attendance, freeing
teachers to focus on instruction and student development. Additionally, AI chatbots can answer
frequently asked questions, provide round-the-clock support, and assist with homework, especially in
distance learning environments. This reduces teacher workload and ensures continuous support for
students.
AI also enhances the effectiveness of remote learning by enabling personalized, interactive, and
data-driven educational experiences. Through real-time feedback, AI helps students remain motivated
and engaged in online settings. Furthermore, AI contributes to inclusivity by supporting learners with
disabilities through tools such as speech-to-text, real-time translation, and predictive text technologies.
These innovations create equitable learning environments where all students can thrive, regardless of
their background or physical abilities.
Educator training is another domain benefiting from AI. Machine learning algorithms can assess
teaching methods, suggest improvements, and provide personalized professional development
pathways. By analyzing classroom interactions, AI offers insights into effective teaching strategies
and supports continuous improvement. Additionally, AI-powered virtual reality simulations can train
teachers to handle complex classroom scenarios.
While AI offers numerous advantages, it also raises ethical concerns. These include data privacy,
algorithmic bias, and the potential reduction of human interaction in education. It is essential to ensure
that AI tools are transparent, inclusive, and aligned with core educational values. Policymakers and
developers must work collaboratively with educators to establish ethical frameworks that guide the
responsible use of AI in schools and universities.
The integration of artificial intelligence into education has initiated a profound transformation in
teaching and learning. From personalized learning and curriculum development to the automation of
routine tasks and support for inclusive education, AI presents numerous benefits that enhance the
overall quality and accessibility of education. Furthermore, AI supports educators through targeted
professional development and helps institutions streamline operations. However, to fully harness these
STUDENTLERDI BIRLESTIRIW: XALÍQARALÍQ IZERTLEWLER HÁM PÁNLER BOYINSHA BIRGE
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benefits, it is vital to address ethical issues such as data privacy, bias, and equitable access. A balanced
and thoughtful implementation of AI, grounded in educational values and guided by ethical principles,
will ensure that it becomes a powerful ally in shaping the future of global education.
References:
1.
Chen, X., Xie, H., Zou, D., & Hwang, G.-J. (2020).
A review of artificial intelligence in
education
. Educational Technology & Society, 23(1), 1–12.
2.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016).
Intelligence Unleashed: An
Argument for AI in Education
. Pearson Education.
3.
Holmes, W., Bialik, M., & Fadel, C. (2019).
Artificial Intelligence in Education: Promises
and Implications for Teaching and Learning
. Boston: Center for Curriculum Redesign.
4.
Russell, S. J., & Norvig, P. (2016).
Artificial Intelligence: A Modern Approach
(3rd ed.).
Pearson.
5.
Tuomi, I. (2018).
The impact of artificial intelligence on learning, teaching, and education
.
European Commission Joint Research Centre.
6.
Williamson, B., & Piattoeva, N. (2020). Objectivity as standardization in data-scientific
educational governance: Grasping the global through the local.
Research in Education
, 101(1),
69–91.
O’QITISHDA MULTI METOD VA MIXED METOD YONDASHUV
Berdaq nomidagi
Qoraqalpoq Davlat Universiteti
Ta’lim va ta’rbiya nazariyasi va metodikasi
2 kurs tayanch doktoranti Kaipbergenova Hurliman
Annotatsiya:
Ushbu tezista ta’lim sifatida har hir metodlarning qollanilishi, asosan multi va
mixed metodalarning qollanilishi, ularning bir biridan farqi haqida muhokama qilingan.
Kalit so’zlar:
multi-metod, mixed-metod, keys tadqiqot, gipoteza, paradigma.
Miqdoriy va sifatli tadqiqot usullarini birlashtirish hozirgi kunda, ayniqsa, ijtimoiy fanlar
tadqiqotida keng tarqalgan amaliyotdir. Ushbu ikki yondashuv mos keladigan kuchli tomonlarga ega
va ulardan foydalanish tadqiqot munosabatlarini topishda tadqiqotning kuchli tomonlarini
yaxshilaydi. Weller va Barns ta'kidlashicha, "miqdoriy va sifatli ishlarni birlashtirgan ikkita alohida
yondashuv mavjud, ular multi-metod va mixed-metod tadqiqot deb ataladi". Multi-metod tadqiqotlar
turli usullar ostida natijalarni birlashtirishga intiladigan triangulyatsiyaga asoslanadi. Mixed-metod
tadqiqoti asosiy talqin qilish uchun mumkin bo'lgan natijalar yondashuviga tayanadi. Keys
tadqiqotlari sabab-oqibat talqiniga erisha olishi shubhasizdir, lekin buning o'rniga, metodlar o'rtasida
mehnat taqsimotini yaratishga intiladi, bunda katta ishlar asosiy munosabatlarni isbotlaydi, keys
tadqiqotlar esa tadqiqotlar farazlari, ularning ko'lami va tadqiqot gipotezalarining to'g'riligini tanqidiy
tasavvur qiladi [11]. Kroll va Neri fikrlariga ko’ra tadqiqot hodisa sifatida sifat va miqdoriy
yondashuvlar bilan mashhur, ammo siz qaysi yondashuvni afzal ko'rishingizga qarab, ikkita
paradigmani birlashtira oladigan va ularni mixed-metod va multi-metod usullarga joylashtirgan
boshqa yondashuvlar paydo bo'ldi. Ba'zi tadqiqotlar shu paytgacha mixed-metod usullarni sifatli usul
sifatida tan olishga muvaffaq bo'ldi, boshqalari esa uni mustaqil ravishda ajratib turadi. Boshqa
tadqiqotchilar ham borki, ular faqat bitta tadqiqotda mixed-metod usulni sifat va miqdoriy
yondashuvlarga metod shaklida joylashtirganlar, ammo mixed-metod usullar ham faqat miqdoriy
bo'lishi mumkin, boshqalari esa sifatli [10]. Greene takidlashicha multimetod uchun u ilmiy
