ASSESSING AND ANALYZING THE QUALITY OF TEACHING

Аннотация

Today, modern educational models are related to the development of teacher- student experiences and the potential opportunities they offer. User-centered analyses are also useful from a socio-technical perspective on the use of data in the field of education, and there is a positive impact of data-driven methods

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Годы охвата с 2022
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Elov , O., & Xidirova , S. (2025). ASSESSING AND ANALYZING THE QUALITY OF TEACHING. Теоретические аспекты становления педагогических наук, 4(1), 18–23. извлечено от https://inlibrary.uz/index.php/tafps/article/view/61015
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Аннотация

Today, modern educational models are related to the development of teacher- student experiences and the potential opportunities they offer. User-centered analyses are also useful from a socio-technical perspective on the use of data in the field of education, and there is a positive impact of data-driven methods


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THEORETICAL ASPECTS IN THE FORMATION OF

PEDAGOGICAL SCIENCES

International scientific-online conference

18

ASSESSING AND ANALYZING THE QUALITY OF TEACHING

Elov Olimdjon Komilovich

Navoi State University, " Geography and Basics

of Economic Knowledge." Lecturer

Xidirova Safura

Navoi State University, 3rd-year student at "School Management.

https://doi.org/10.5281/zenodo.14605085

Abstract

. Today, modern educational models are related to the

development of teacher- student experiences and the potential opportunities
they offer. User-centered analyses are also useful from a socio-technical
perspective on the use of data in the field of education, and there is a positive
impact of data-driven methods

Key words:

Statistical Data, Quality Indicators, Efficiency Analysis,

Comparison, E-learning Platforms, Analytics Tools, Alignment with Educational
Objectives, Pedagogical Approaches, Resource Utilization, Student Outcomes,
Satisfaction Level, Purpose of Teaching Evaluation.

Introduction. Assessing and Analyzing the Quality of Teaching.

Today,

modern educational models are linked to the development of teacher-student
experiences and the potential opportunities they provide. User-centered
analyses are also useful from a socio-technical perspective on the use of data in
the field of education, and there is a positive impact of data-driven methods.

The quality of education is a key factor in the survival and development of a

university, and it serves as a measure of striving for international higher
education. Currently, assessing the quality of teaching is carried out solely
through the measurement of metrics such as the scores received by teachers
from their students, peers, themselves, leaders, and others. However, in practice,
which factors affect the quality of education are often more important.
Technology-driven management and the use of data on teacher-student
relationships can enhance the learning experience and increase the impact of the
educational process through initiatives focused on student satisfaction.

Research has shown that often higher education institutions (HEIs) rely

heavily on the evaluation results of teaching by students. The factors related to
SET (Student Evaluation of Teaching) have evolved, including decisions about
promotions, long-term contracts, and rewards linked to performance, and the
renewal of contracts for most faculty members.

Assessing and Analyzing Teaching Quality.

Assessing and analyzing

teaching quality is an activity conducted to determine the effectiveness of the


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THEORETICAL ASPECTS IN THE FORMATION OF

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International scientific-online conference

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learning process and the level of students' learning and understanding. Various
methods and techniques are applied in this assessment and analysis process. To
better understand this process, we can consider the following key points:

Data

Collection.

Surveys:

Gathering feedback from teachers and students on quality

and effectiveness.

Exam Results:

Determining students' knowledge levels.

Classroom Observations

:

Directly assessing the teaching process.

Statistical

Data:

Collecting participation, attendance, and grading data.

Data Analysis.

Quality Indicators:

Relevance of course content, teaching methods, and student

understanding.

Efficiency Analysis:

Identifying the relationship between time

spent in class and learning outcomes.

Comparison:

Studying differences across

groups, subjects, or time periods.

1.

Technologies and Tools:

o

E-learning Platforms:

Tracking student engagement and outcomes.

o

Analytics Tools:

Such as Excel, SPSS, and Power BI.

2.

Conclusion of Results:

o

Identifying strengths and weaknesses.

o

Developing recommendations for improving the educational

process.

Key Criteria for Assessment.

In evaluating teaching quality, the following

criteria are taken into account:

Alignment with Educational Objectives:

How

well the course content matches the set goals.

Pedagogical Approaches:

The

effectiveness of methods used by the teacher.

Resource Utilization:

The state of

textbooks, electronic resources, and labs.

Student Outcomes:

The level of

knowledge and skills acquired post-teaching.

Satisfaction Level:

Overall

assessment by students and teachers.

Purpose of Teaching Evaluation.

The

main goal of teaching evaluation is to determine the effectiveness of teaching.
This involves analyzing the teacher's role in the educational process and its
impact on students. The evaluation process covers:

Methods of teaching and motivating students.

The effectiveness of the lesson.

Student interest and engagement in the lesson.

The teacher's didactic and pedagogical abilities.

Methods of Teaching Evaluation.

Several methods and techniques are

employed in evaluating teaching:

Observation:

Observing the teacher’s activities

in the classroom, including student reactions and teaching methods.

Student

Feedback:

Gathering student opinions on the teaching style and classroom

approach through anonymous surveys.

Self-Assessment:

Teachers evaluating


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THEORETICAL ASPECTS IN THE FORMATION OF

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International scientific-online conference

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their own work to identify areas for improvement.

Student Performance:

Using

test results, projects, and other student work to assess teaching quality.

Methods Used in Teaching Quality Analysis.

Formative Assessment:

Continuous assessment throughout the learning process, tracking student
progress.

Summative Assessment:

Evaluation at the end of a course or academic

year, typically through exams or final projects.

Peer Assessment:

Students assess

each other’s work, fostering critical thinking and collaboration.

Day-to-Day

Assessment:

Teachers evaluate students based on their activities and skills

demonstrated in each lesson.

Key Factors in Teaching Quality Analysis.

Teacher Methodology:

The

teaching style and methods directly impact the effectiveness of learning.

Interactivity:

Engaging students through interactive methods such as group

discussions and question-based involvement.

Use of Educational Tools:

Incorporating modern technologies and didactic tools enhances the learning
experience.

Emotional Intelligence of the Teacher:

Teachers' relationships with

students and their ability to adapt to students' emotional needs can positively
influence students’ engagement and overall learning experience.

Advantages of Analyzing Teaching Quality.

Improved Effectiveness:

Analysis allows teachers to refine their methods for better outcomes.

Enhanced

Student Achievement:

Identifying weaknesses allows teachers to provide

individual support to students.

Teacher Development:

Evaluating teaching

quality encourages teachers to improve their skills and adopt new methods.

Teaching quality assessment and analysis are vital components of the

educational process. This allows teachers to review and improve their practices
while directly influencing student success. The diversity of assessment methods
and techniques serves to individualize and enhance the learning experience.

Improving the Education System:

Through evaluation and analysis, the

effectiveness of the education system can be improved.

Evaluation Methods:

Formative Assessment:

Monitoring student progress

throughout the learning process.

Summative Assessment:

Evaluating overall

knowledge at the end of the course or academic year.

Critical Review Analysis:

Assessing students' analytical thinking through questions and challenges.

Analyzing Evaluation Results:

Effectiveness of Learning

:

Assessing

teaching methods and materials, identifying necessary changes.

Identifying

Challenges:

Analyzing difficulties faced during the teaching process, such as

inconsistencies in student assessments.

Enhancing Self-Assessment:

Encouraging

students to evaluate their own knowledge helps improve their learning.


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THEORETICAL ASPECTS IN THE FORMATION OF

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Analysis Tools:

Tests and Exams:

Widely used to measure student

knowledge.

Interactive Methods:

Using online platforms, games, and group

discussions to assess student engagement.

Portfolios:

Collecting student work to

evaluate progress.

Analysis Methods:

Statistical Analysis:

Analyzing test results and student

performance using statistical methods.

Identifying Strengths and Weaknesses:

Studying the effectiveness of teaching with respect to student and teacher
participation.

Evaluation and analysis processes help improve the quality of education,

provide necessary support to students, and enhance teacher professionalism.
These processes continuously evolve and develop.

Finally, the study creates a set of research constructs and uses them for

analysis, identifying the most commonly used terms by students to describe
teachers and analyzing the frequency of referenced events based on gender
differences. Additionally, sentiment analysis is conducted to determine the
intensity of students' opinions regarding teachers based on gender. This study
also provides an understanding of how students evaluate the qualities of
teachers and their assessment of teaching activities.

This study contributes to knowledge in the following ways:
1.

It defines an Educational Process and Data Mining (EPDM) model for

analyzing students' perspectives on teacher evaluation (SET).

2.

It demonstrates the potential applications of text mining technologies

within the field of education.

3.

It describes the method for analyzing student evaluations of teachers,

with a focus on gender differences.

4.

It shows how data on student evaluations can be analyzed to offer

solutions to educational issues in a competitive and rapidly changing
environment.

Conclusion.

To conclude, the evaluation of teaching quality through

student evaluations (SETs) plays a significant role in higher education. SETs
offer valuable insights into the effectiveness of instructional methods, course
content, and teacher performance. These evaluations help institutions make
informed decisions about curriculum design, faculty development, and resource
allocation. Moreover, they provide a direct channel for students to express their
perceptions and experiences, contributing to the improvement of teaching
standards.


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THEORETICAL ASPECTS IN THE FORMATION OF

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By comparing SET data across different departments and courses,

universities can identify areas for improvement, promote best practices, and
ensure that teaching methods are responsive to student needs. As educational
institutions continue to rely on data-driven approaches, SETs have become an
essential tool for fostering a culture of continuous improvement, enhancing both
the quality of education and student satisfaction.

Ultimately, while SETs are not without limitations, such as potential bias or

inconsistencies, their strategic use can help institutions achieve greater
alignment between teaching quality and institutional goals, leading to better
educational outcomes for students.

To measure teaching, student evaluations of teaching are widely used in

higher education to assess quality and compare across different courses,
instructors, departments, and institutions. In fact, SETs are increasingly used for
decision-making regarding teacher incentives, course selection by students, and
institutional performance audits.

References:

1.

Komilovich, E. O. QUALITY AND PERFORMANCE INDICATORS.

2.

Kamilovich, E. O., & Maxammatovna, N. I. EVALUATING AND ANALYZING

TEACHING QUALITY.
3.

Komilovich, E. O. ENHANCING TEACHER PROFESSIONAL DEVELOPMENT.

4.

Elov, O., & Ismatullayeva, F. (2024). QUALITY ASSESSMENT AND

MONITORING SYSTEMS IN THE EDUCATION. Академические исследования в
современной науке, 3(45), 168-173.
5.

Elov, O., & Tojiyev, M. (2024). DIFFERENTATION AND PERSONALIZATION

STRATEGY OF GLOBAL COMPANIES. Академические исследования в
современной науке, 3(46), 5-11.
6.

Elov, O., & Mamajonov, M. (2024). INTERNAL AUDIT METHODS AND

THEIR IMPORTANCE. Академические исследования в современной науке,
3(46), 101-105.
7.

Elov, O., & Toshtemirova, M. (2024). ENHANCING TEACHER

PROFESSIONAL DEVELOPMENT. Решение социальных проблем в
управлении и экономике, 3(11), 150-155.
8.

Elov, O., & A’zamova, Z. (2024). UPDATING AND MODERNIZING

CURRICULA. Академические исследования в современной науке, 3(48), 82-
88.
9.

Elov, O. K., Kholboyeva, M., & Pirmamatova, N. (2024). Consumer behavior

and marketing strategy. World of Scientific news in Science, 2(2), 722-726.


background image

THEORETICAL ASPECTS IN THE FORMATION OF

PEDAGOGICAL SCIENCES

International scientific-online conference

23

10.

Элов, О., Касимов, А., & Холбоева, М. (2024). ЭВОЛЮЦИЯ И БОРЬБА С

ТЕНЕВОЙ ЭКОНОМИКОЙ В УЗБЕКИСТАНЕ. " Science Shine" International
scientific journal, 14(1).
11.

Элов, О. К., & Исмоилов, У. Б. (2023). Цифровизация потребления.

Экономика и социум, (6-1 (109)), 1202-1206.
12.

Elov, O. K., Xolboyeva, M. A., & qizi Pirmamatova, N. K. (2023).

MAKROMARKETING VA MIKROMARKETING O ‘RTASIDAGI FARQLAR.
Educational Research in Universal Sciences, 2(12), 112-116.
13.

Elov, O. K., Berdialiyeva, S., & Ortiqova, S. (2023). B2B MARKETING VA

SANOATDAGI O ‘RNI. Educational Research in Universal Sciences, 2(18
SPECIAL), 130-133.
14.

Komilovich, E. O., Xolboyeva, M., & Pirmamatova, N. (2023).

MIJOZLARNING ONLAYN XARID QILISHDAN QONIQISHI. Educational Research
in Universal Sciences, 2(17), 485-487.
15.

Элов, О., Касимов, А., & Холбоева, М. (2024). ТЕНЕВАЯ ЭКОНОМИКА–

ЭЛЕМЕНТ МИРОВОЙ ЭКОНОМИЧЕСКОЙ ИСТОРИИ. " Science Shine"
International scientific journal, 14(1).
16.

Komilovich, E. O., & Azizovna, K. M. (2024). ELECTRONIC MONEY IN

UZBEKISTAN AND THEIR SIGNIFICANCE TODAY. JOURNAL OF ECONOMY,
TOURISM AND SERVICE, 3(5), 54-58.
17.

Elov, O. K., Xolboyeva, M. A., & qizi Pirmamatova, N. K. (2023). MOLIYAVIY

SAVODXONLIK. Educational Research in Universal Sciences, 2(18), 167-170.
18.

Элов, О. К., & Самадова, М. Б. (2023). ЗАВИСИМОСТЬ ОТ МОБИЛЬНЫХ

ТЕХНОЛОГИЙ В КОНТЕКСТЕ ПОТРЕБИТЕЛЬСКОГО ПОВЕДЕНИЯ В
ЦИФРОВИЗУЮЩЕМСЯ МИРЕ: О СТУДЕНТАХ ВУЗОВ. Educational Research in
Universal Sciences, 2(16), 220-224.
19.

Komilovich, O. E. (2021). DEVELOPMENT OF THE STRATEGIC

MANAGEMENT. In Interdisciplinary Conference of Young Scholars in Social
Sciences (USA) (pp. 363-366).

Библиографические ссылки

Komilovich, E. O. QUALITY AND PERFORMANCE INDICATORS.

Kamilovich, E. O., & Maxammatovna, N. I. EVALUATING AND ANALYZING TEACHING QUALITY.

Komilovich, E. O. ENHANCING TEACHER PROFESSIONAL DEVELOPMENT.

Elov, O., & Ismatullayeva, F. (2024). QUALITY ASSESSMENT AND MONITORING SYSTEMS IN THE EDUCATION. Академические исследования в современной науке, 3(45), 168-173.

Elov, O., & Tojiyev, M. (2024). DIFFERENTATION AND PERSONALIZATION STRATEGY OF GLOBAL COMPANIES. Академические исследования в современной науке, 3(46), 5-11.

Elov, O., & Mamajonov, M. (2024). INTERNAL AUDIT METHODS AND THEIR IMPORTANCE. Академические исследования в современной науке, 3(46), 101-105.

Elov, O., & Toshtemirova, M. (2024). ENHANCING TEACHER PROFESSIONAL DEVELOPMENT. Решение социальных проблем в управлении и экономике, 3(11), 150-155.

Elov, O., & A’zamova, Z. (2024). UPDATING AND MODERNIZING CURRICULA. Академические исследования в современной науке, 3(48), 82-88.

Elov, O. K., Kholboyeva, M., & Pirmamatova, N. (2024). Consumer behavior and marketing strategy. World of Scientific news in Science, 2(2), 722-726.

Элов, О., Касимов, А., & Холбоева, М. (2024). ЭВОЛЮЦИЯ И БОРЬБА С ТЕНЕВОЙ ЭКОНОМИКОЙ В УЗБЕКИСТАНЕ. " Science Shine" International scientific journal, 14(1).

Элов, О. К., & Исмоилов, У. Б. (2023). Цифровизация потребления. Экономика и социум, (6-1 (109)), 1202-1206.

Elov, O. K., Xolboyeva, M. A., & qizi Pirmamatova, N. K. (2023). MAKROMARKETING VA MIKROMARKETING O ‘RTASIDAGI FARQLAR. Educational Research in Universal Sciences, 2(12), 112-116.

Elov, O. K., Berdialiyeva, S., & Ortiqova, S. (2023). B2B MARKETING VA SANOATDAGI O ‘RNI. Educational Research in Universal Sciences, 2(18 SPECIAL), 130-133.

Komilovich, E. O., Xolboyeva, M., & Pirmamatova, N. (2023). MIJOZLARNING ONLAYN XARID QILISHDAN QONIQISHI. Educational Research in Universal Sciences, 2(17), 485-487.

Элов, О., Касимов, А., & Холбоева, М. (2024). ТЕНЕВАЯ ЭКОНОМИКА–ЭЛЕМЕНТ МИРОВОЙ ЭКОНОМИЧЕСКОЙ ИСТОРИИ. " Science Shine" International scientific journal, 14(1).

Komilovich, E. O., & Azizovna, K. M. (2024). ELECTRONIC MONEY IN UZBEKISTAN AND THEIR SIGNIFICANCE TODAY. JOURNAL OF ECONOMY, TOURISM AND SERVICE, 3(5), 54-58.

Elov, O. K., Xolboyeva, M. A., & qizi Pirmamatova, N. K. (2023). MOLIYAVIY SAVODXONLIK. Educational Research in Universal Sciences, 2(18), 167-170.

Элов, О. К., & Самадова, М. Б. (2023). ЗАВИСИМОСТЬ ОТ МОБИЛЬНЫХ ТЕХНОЛОГИЙ В КОНТЕКСТЕ ПОТРЕБИТЕЛЬСКОГО ПОВЕДЕНИЯ В ЦИФРОВИЗУЮЩЕМСЯ МИРЕ: О СТУДЕНТАХ ВУЗОВ. Educational Research in Universal Sciences, 2(16), 220-224.

Komilovich, O. E. (2021). DEVELOPMENT OF THE STRATEGIC MANAGEMENT. In Interdisciplinary Conference of Young Scholars in Social Sciences (USA) (pp. 363-366).