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THE EFFECTIVENESS OF USING CLOUD TECHNOLOGIES IN
TEACHING INFORMATICS
Bekchanova Feruza Khodjinazarovna:
Academic Lyceum of UrSU named after Al-Beruni Teacher of Computer Science
Ravshanbekov Asadbek Quvondiq o‘g‘li:
Academic Lyceum of UrSU named after Al-Beruni Teacher of Computer Science
Annotatsiya:
Bulutli texnologiyalar informatika ta’limini yanada
moslashuvchan, tejamkor va interaktiv o‘quv muhitlari bilan ta’minlab
rivojlantiradi. Ular masofaviy kirish, real vaqtda hamkorlik qilish, va samarali
resurs boshqaruvi imkonini berib, o‘quv jarayoniga qiziqishni oshiradi. Google
Drive, AWS Educate va Google Colab kabi platformalar onlayn kod yozish va fayl
almashish imkoniyatlarini qo‘llab-quvvatlaydi. O‘zbekistonda UzEduCloud va
Google Classroom raqamli ta’lim tizimini mustahkamlashda muhim rol
o‘ynamoqda. Qiyinchiliklarga qaramasdan, bulut texnologiyalari hamkorlik,
moslashuvchanlik va raqamli transformatsiyani rivojlantirib, talabalarning
zamonaviy iqtisodiyotga tayyorlanishiga yordam beradi.
Kalit so‘zlar: Bulutli texnologiyalar, informatika ta’limi, raqamli o‘qitish,
masofaviy kirish, hamkorlikda o‘qish, UzEduCloud, elektron ta’lim platformalari.
Abstract: Cloud technologies enhance informatics education by providing
flexible, cost-effective, and interactive learning environments. They enable remote
access, real-time collaboration, and efficient resource management, improving
engagement. Platforms like Google Drive, AWS Educate, and Google Colab
support online coding and file sharing. In Uzbekistan, UzEduCloud and Google
Classroom are strengthening digital education. Despite challenges, cloud tools
advance collaboration, adaptability, and digital transformation, preparing
students for the modern economy.
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Keywords: Cloud technologies, informatics education, digital learning,
remote access, collaborative learning, UzEduCloud, e-learning platforms.
INTRODUCTION
In the era of digital transformation,
cloud technologies
have become an
essential part of modern education, significantly improving
teaching and learning
processes
. In
informatics education
, cloud-based tools offer
flexibility,
accessibility,
and
collaboration
,
allowing students and teachers to engage
with educational materials remotely. The
rapid advancement of
cloud computing
has enabled educational institutions to
shift from traditional teaching methods to
interactive, technology-driven
learning
environments.Cloud platforms such as
Google Drive, Microsoft OneDrive,
AWS Educate, and Google Colab
facilitate real-time collaboration,
file sharing
,
and
project-based learning
, making informatics lessons more engaging and
effective. In Uzbekistan, initiatives like
UzEduCloud
and
Google Classroom
are
being integrated into the education system to
enhance digital learning
.
Despite the
challenges
of internet connectivity and teacher readiness, cloud
computing presents
numerous advantages
, including
cost efficiency,
adaptability, and improved resource management
. This paper examines the
effectiveness of cloud technologies in informatics education
, focusing on their
practical applications, benefits, and future potential
in the Uzbek educational
system.
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LITERATURE REVIEW
Numerous studies by both local and international researchers have focused on
developing educational resources and enhancing school textbooks. However, there
has been little research on creating a corpus and selecting literary books aimed at
evaluating the potential for increasing the knowledge of secondary school students
in the Uzbek language.
Cloud technologies have played a crucial role in modernizing education. In an
academic study
[1]
, Delov (2019) explores the application of
cloud technologies
in the educational process, highlighting their role in improving accessibility and
collaboration among students and teachers. In an article
[2]
, research is conducted
on the creation of educational materials suitable for primary school students based
on a corpus developed from 35 Uzbek primary school textbooks. In this paper
[3]
,
the educational corpus, which is a fragment of the Uzbek National Corpus taken
from school textbooks and dictionaries, is studied. The paper details the factors,
principles, models, and systems involved in the development of this corpus. In this
study, the authors of
[4]
proposed a method for evaluating the list of stop words,
tested in Uzbek but adapted to similar agglutinative languages, showing acceptable
accuracy in automatic detection.Machine transliteration means transferring written
words of one language from one alphabet to another, preserving their meaning and
pronunciation. This article
[5]
presents a transliteration tool between three Uzbek
scripts: Old Cyrillic, Official Latin, and New Latin. Annotated corpora
development is very important in NLP, especially for resource-poor languages like
Uzbek.The paper
[6]
addresses automatic text summarization, focusing on two
main approaches: summarizing with equivalent words and extracting key
sentences. It introduces a text summarization model using the TF-IDF algorithm to
automatically summarize texts in Uzbek. The model identifies unique words,
calculates sentence weight, and utilizes the n-gram model to enhance
summarization.The paper
[7]
tackles the scarcity of such resources by creating a
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novel POS and syntactic tag set for Uzbek. This study [8] applies the Jaccard
similarity method to create reading lists for high school students by comparing a
literature corpus with literary works. NLP advancements aid language processing,
but Uzbek's limited digital resources and complexity pose challenges. This paper
[9]
delves into the specific challenges encountered in NLP for Uzbek, focusing on
lemmatization, stemming, sound recognition, and semantic analysis.In today's
globalized world, providing quality education to students is one of the urgent tasks
of the education system. This article
[10]
details how to create a model of the solar
system using Python's graphical capabilities. This practice increases students'
interest in graphic programming, and by visualizing the planets, students' interest
and outlook on space science expand.In this article
[11]
, the problem of creating a
terminological dictionary for the chapter on the Delphi programming language,
based on the textbook for academic lyceum students in Informatics and Information
Technology, is considered.These articles
[12, 13, 14]
provide information about
the importance of forming a culture of reading in students, creating the TF-IDF
process for Uzbek literary texts, and what needs to be done in this regard. This
study
[15]
aims to determine the annual vocabulary acquisition of primary school
students. Two datasets, EDUL and UPSC, were analyzed using the Comparative
Lemma Extraction Method (CLEM) to identify new words, considering Uzbek's
morphological complexity.
METHODOLOGY
Research Design
: This study employs a mixed-methods research approach to
evaluate the effectiveness of using cloud technologies in teaching informatics. A
combination of qualitative and quantitative methods ensures a comprehensive
understanding of how cloud-based tools enhance learning experiences.
Participants:
The study involves informatics teachers and students from
secondary and higher education institutions. Participants include 50 informatics
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teachers and 200 students who use cloud technologies for learning and teaching
activities.
Data Collection Methods
: To assess the effectiveness of cloud technologies,
data is collected through:
Surveys
: Online questionnaires distributed to teachers and students to
measure their experiences, satisfaction levels, and perceived benefits of cloud tools
in informatics education.
Interviews:
Semi-structured interviews with selected teachers and students to
gain in-depth insights into the advantages and challenges of cloud-based learning.
Classroom Observations
: Direct observations of informatics lessons
utilizing cloud technologies to evaluate student engagement and interaction.
Performance Analysis
: Comparison of student performance data before and
after implementing cloud technologies to determine improvements in learning
outcomes.
Quantitative Analysis
: Survey responses are analyzed using statistical
methods such as descriptive statistics, correlation analysis, and t-tests to identify
trends and significant differences.
Qualitative Analysis
: Interview transcripts and observation notes are coded
and thematically analyzed to identify recurring patterns and insights related to
cloud-based learning.
Cloud Technologies Used
: The study focuses on widely used cloud tools in
informatics education, including:
Google Workspace for Education
(Google Classroom, Google Drive,
Google Docs) Microsoft OneDrive and Office 365. AWS Educate and Google
Colab for programming and computational tasks.Moodle and Learning
Management Systems (LMS) with cloud integration.
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RESULTS
Table 1: Student Performance Before and After Cloud Technology
Implementation
Category
Before
Cloud
Integration (%)
After
Cloud
Integration
(%)
Student Engagement Level
55
85
Assignment Submission Rate
65
90
Concept Understanding Score
60
88
Exam Performance Average
58
87
Collaboration Effectiveness
50
83
Table 2: Teacher and Student Satisfaction Levels
Satisfaction Area
Teachers (%)
Students
(%)
Ease of Access to Materials
88
92
Collaboration Improvement
85
89
Increased Engagement
87
91
Learning Flexibility
90
94
Overall Satisfaction
89
93
CONCLUSION
This methodology provides a structured approach to evaluating the
effectiveness of cloud technologies in teaching informatics. The results indicate a
significant improvement in student engagement, performance, and collaboration,
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as well as high satisfaction levels among both students and teachers. By combining
quantitative and qualitative methods, the study ensures a comprehensive
assessment of the impact of cloud-based tools on teaching and learning outcomes
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Delov, S. A. (2019). Bulutli texnologiyalar [Cloud Technologies]. Toshkent:
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