Стратегии на образователната и научната политика

https://doi.org/10.53656/str2024-5s-26-pos

2024/5s, стр. 263 - 270

POSSIBILITIES FOR THE APPLICATION OF ARTIFICIAL INTELLIGENCE SYSTEMS IN THE EDUCATION OF STUDENTS OF PEDAGOGICAL SPECIALTIES

Petya Stefanova
E-mail: pstefanova@uni-ruse.bg
University of Ruse “Angel Kanchev”
8, Studentska St.
7017 Ruse, Bulgaria
Angel Smrikarov
OrcID: 0000-0002-5609-6297
E-mail: asmrikarov@uni-ruse.bg
University of Ruse “Angel Kanchev”
8, Studentska St.
7017 Ruse, Bulgaria

Резюме: This paper is based on a study of the possibilities of using artificial intelligence systems in music education within the degree courses of “Preschool and primary education” and “Primary education and foreign languages.” It is known that in the process of music education without special musical training, future educators as well as teachers face certain challenges. The variety of artificial intelligence systems creates conditions for music education that are more accessible and applicable in different areas of music practice. The focus of this research is music learning through interaction with music generation systems, in which the learner assumes a new role: from perceiving and performing music, he/she becomes a co-author and co-creator of a musical piece with all the peculiarities and regularities of musical language. The idea of a musical product thus acquires a new meaning and the students develop not only their musical creativity but also their digital competencies.

Ключови думи: music education; artificial intelligence; music generation systems; music education process; music disciplines; pedagogy

1. Introduction

Artificial Intelligence (AI) is increasingly entering all areas of modern technology. In music, artificial intelligence has a variety of applications. It can analyse musical structures, process music, manage, control and balance music and different sound sources, and also compose music. AI is transforming many areas of human activity, including education. In the context of music education, AI systems offer innovative approaches for learning theoretical knowledge, developing practical skills and stimulating students' creativity. This paper explores the possibilities of applying AI in the music education of future educators. It is the responsibility of the university as a whole to provide support to students and faculty in the generation of innovative and creative solutions. This can be achieved by implementing educational models that stimulate student and faculty creativity and innovation (Beloeva&Antonova 2023).

2. AI systems implementable in music education of students of pedagogical specialties

2.1. Examples of AI programmes that provide learners with theoretical and practical knowledge and competences

There are a number of AI-based software applications that support the learning of music theory and develop students' practical skills.

As posited by (Hu 2021; Luo 2024), AI-enabled systems can enhance musical performance and facilitate individualised learning strategies. The academic literature frequently emphasises the role of AI in improving students' information retrieval skills and learning efficiency. The utilisation of AI in music education is particularly beneficial for the creation of interactive and effective learning environments (Holland 2000; Yu 2023). Other authors, such as (Yu 2020), have also highlighted the potential of AI in preschool music education, particularly in the creation of interactive learning systems.

The selected examples presented in this report are representative of those that facilitate the acquisition of music knowledge and practical skills at different levels. The specific programmes discussed are illustrative of those that:

a) support the learning of a musical instrument;

b) provide theoretical knowledge about music;

c) enable music making with specific competences and experience in conducting as well as in collaborative music making in general:

Meludia: This app offers interactive lessons in solfege, harmony and musical analysis;

Semi-Conductor: The app provides the opportunity to virtually conduct an orchestra, giving learners feedback on their gestures and interpretation;

Yousician: An interactive music learning platform that offers instrument lessons and vocal training in a variety of styles;

Frettable: The tool expands performers' musical competencies and can generate sheet music and tablature. The proposed AI systems are suitable for the preparation of students of pedagogical specialties without special musical education. The selected programmes provide examples of the ways in which they can be integrated into music education.

2.2. A selection of AI programs that can be implemented in music education with pre-schoolers and students is provided below.

Artificial intelligence (AI) can also be used effectively in music education for children and students. There are numerous AI applications that contain exercises and games designed to develop musical hearing in all categories, including pitch, meter, timbre, and so forth. The self-learning aspects and active learning opportunities are particularly suitable for this context.

The Google Experiments platform offers a range of music apps and games that employ engaging interactive elements and have the potential to stimulate musical development in younger children. Such examples include: The Perfect Ear app is an example of an app that exercises to develop musical hearing, presented through multiple solfege exercises with interactive elements. The Ocean platform offers the possibility of collaborative music making, providing a dynamic space for creating music on the internet. A comparable opportunity for engaging learning through experimentation is the Chrome Music Lab, a music lab for sound and music projects. Google Music Experiments is a set of interactive music experiments designed to make music more accessible and enjoyable. The accelerated evolution of interactive technologies has led to the emergence of novel standards. The digital generation, in particular, has come to expect interactivity in learning (Atanasov & Ivanova 2022).

It can be observed that there is a degree of analogous functionality between the AI programs that have been classified for the two distinct categories of learners. The idea of such a distinction is not only related to the obvious differences and approaches to music literacy, but is also dictated by the musical training needs of students who are future educators. The lack of specialised musical training and the need for concentrated acquisition of basic and specific competencies represents a particular challenge. In light of the impending emergence of pedagogical specialists in the field of music education for children across a wide age range, it is imperative to guarantee the provision of scientifically substantiated training and conceptually coherent practical guidance. To educate children in a conscious and positive attitude towards art, it is essential to establish clear criteria of artistic value, musical content and aesthetic considerations

3. AI systems for music generation

Several systems that generate music in different styles and genres are currently gaining popularity (AIVA, Suno, Beatoven, Amper etc.) These systems analyse existing musical works and create new compositions using algorithms.

Artificial intelligence (AI) can be employed to generate a vast array of resources, encompassing any structure, composition, or style, with minimal human intervention (Stefanov 2023). It is possible to create compositions that enrich the musical environment with innovative motifs, which suggests that there is a promising avenue for creativity using AI technology. The convergence of traditional compositional practices and the advent of AI powered music creation has the potential to deepen interdisciplinary collaboration, thereby accelerating the evolution of music composition technology (Zhu et al. 2023).

4. Investigating the feasibility of AI systems for student music generation Artificial intelligence has the potential to enhance and optimise the educational process as a whole. However, teachers themselves must also undergo a specific form of training in order to integrate the new possibilities into their pedagogical practice. The implementation of web based training courses for teachers is becoming increasingly sustainable. Additionally, educators developing such courses face challenges in creating digital content with high educational value and effectiveness (Harakchiyska 2010).

This paper presents a research project conducted with students from Angel Kanchev University in Ruse. The project focused on the application of AI systems in music education. The research was conducted with students from the Bachelor's and Master's programmes in Preschool and Primary School Pedagogy. Additionally, students from the Bachelor's and Master's programmes in Primary School Pedagogy and Foreign Language at Ruse University “Angel Kanchev” participated. In the second semester of their studies, students enrolled in the Bachelor's and Master's programmes in Preschool and Primary School Pedagogy study the music disciplines of Elementary Music Theory and Music Theory and Methodology in kindergarten. The present study was conducted in the summer semester of the academic year 2023/2024. The lectures and exercises in the disciplines were conducted by the author of the article, who is also the holder of the music disciplines studied by the students in the aforementioned majors.

The purpose of this study is to determine the effectiveness and feasibility of AI systems for music education and preparation of student educators.

The next objective of the study is to familiarise students with AI systems that support, complement and optimise traditional music education. In addition, the study aims to develop critical thinking regarding the functionality and place as well as the pedagogical value of AI systems. Furthermore, the study seeks to build the ability to appreciate the artistic value in AI-generated products. Finally, the study will look for attractive and effective aspects in musical experiments – learning by doing.

The following is a description of the stages of the experiment:

The initial stage of the project involves the introduction and implementation of the music learning programmes described in sections 1.1 and 1.2. The music experiments were conducted with all students on an interactive board during the practical exercises of the aforementioned disciplines: Elementary Music Theory, Theory and Methodology of Kindergarten Music (Bachelors), and Methodology of Kindergarten Music (Masters).

Stage 2. Introduce students to the systems for composing music described in the article, providing illustrative examples. The AI systems and the music examples are presented on an interactive presentation system in an in-person tutorial.

Stage 3. The implementation of video examples of the use of generative AI for music composition by the teacher, which demonstrate in detail the possibilities of working with two of the programs. The selection of the specific music programs is tailored to: 1. The level of difficulty and technological background of the students must be taken into account.

Stage 4. Students are introduced to the programmes independently and have the opportunity to experiment and then ask questions and share impressions.

Stage 5. The finalisation of the musical composition and its dissemination in a dedicated virtual environment.

Stage 6. Conducting a survey of students' views on the effectiveness, benefits, level of engagement and attractiveness, technical challenges and attitudes towards the generated musical product.

Stage 7. Summarizing the results and formulating conclusions about the prospectivity and applicability of AI systems for music education and professional training of students.

5. Survey Results

A questionnaire survey was conducted with 50 students from the BSc and MSc programmes at Ruse University, “Angel Kanchev”. All participants submitted their written work and completed the survey. The survey is conducted online and comprises closed questions pertaining to the students' opinions on the following matters:

1.The benefits of the application of AI systems for their music education;

2. The availability of higher efficiency in learning music theory and practice;

3. A deeper understanding of the importance of the whole process of making music – from the creation of the work, to its performance, recording and distribution;

4. Comparing two different AI systems with similar functionality;

5. Critical thinking and analysis of the achieved artistic result;

6. Self-evaluation in terms of pedagogical impact on own musical development;

7. Evaluating prospectivity and applicability in future professional practice.

Fig. 1 presents the results of the survey in relation to the respondents' understanding and awareness of music and art activities. The results of the survey indicated that students perceived the systems as offering the opportunity to experiment with different musical styles (54%). Some students emphasised the importance of learning new things during the experiments. In terms of the potential for AI systems to create a digital resource that is applicable in practice, the generally positive response of students is noteworthy. Seventy percent of respondents indicated that the generation of resources would enhance their pedagogical practice. A significant proportion of respondents (64%) indicated that working with AI music generation systems has enhanced their knowledge of music. A greater proportion (66%) of respondents indicated that the integration of AI systems into traditional teaching methodologies enhanced the overall learning experience.

Figure 1. Students’ awareness of music and art activities

Fig. 2 presents the results of the survey in relation to the following aspects:

1. The expansion of music knowledge as a result of the application of AI music generation systems;

2. The benefit in future teaching activities;

3. The creation of an independent, original resource applicable to teaching;

4. The integration of learning with AI systems into traditional music education;

5. Assessing professional preparation and qualifications in relation to future teaching activity in general.

Figure 2. Respondents’ reactions about the expansion of music knowledge as a result of the application of AI

3. Conclusion

The following conclusions are drawn from the conducted study:

Artificial intelligence systems facilitate learning through direct experience.

Through experimentation with musical examples with AI systems, knowledge about music, musical genres and elements of musical expression can be acquired.

Incorporating work with AI music composition systems can complement traditional learning.

AI composing systems are a modern and accessible way to create resources applicable to other knowledge areas or contexts.

By gaining experience with AI systems for composing music, future teachers feel more prepared to teach music and do better in their future profession as a whole.

Acknowledgments & Funding

This study is financed by the European Union - NextGenerationEU, through the National Recovery and Resilience Plan of the Republic of Bulgaria, project № BG-RRP-2.013-0001-C01.

REFERENCES

ATANASOV, V., & IVANOVA, A., 2022. A framework for evaluation of web-based learning content. International Journal on Information Technologies & Security, vol. 14, no. 4, pp.13 – 24.

BELOEVA, S. & ANTONOVA, D., 2023. Controlled anxiety in the academic environment as an stimulus for students' creativity and innovation. Strategies for Policy in Science & Education-Strategii na Obrazovatelnata i Nauchnata Politika, vol. 31, nо. 6, pp. 622 – 638, doi.org/10.53656/str2023-6-4-con.

HARAKCHIYSKA, T., 2010. Learning objects and their role in enhancing the quality of web-based teacher training courses. Conference Proceedings of “eLearning and Software for Education” (eLSE), issue No 01, pp. 181-186. Carol I National Defense University Publishing House.

HOLLAND, S., 2000. Artificial Intelligence in Music Education: A Critical Review. Readings in Music and Artificial Intelligence.

HU, Y., 2021. Application Value of Artificial Intelligence System in Music Education. International Conference on Information Systems and Computer Aided Education.

JIANG, Q., 2022. Application of Artificial Intelligence Technology in Music Education Supported by Wireless Network. Mathematical Problems in Engineering.

LUO, Z., 2024. The Application of Artificial Intelligence Technology in Music Education. Lecture Notes in Education Psychology and Public Media.

STEFANOV, P., 2023. AI in sound engineering. Strategies for Policy in Science & Education-Strategii na Obrazovatelnata i Nauchnata Politika, vol. 31, no. 4s, pp. 191 – 202. https://doi.org/10.53656/str2023-4s-16-sou.

YUAN, S., 2020. Application and Study of Musical Artificial Intelligence in Music Education Field. Journal of Physics: Conference Series, vol. 1533. DOI 10.1088/1742-6596/1533/3/032033.

YU, L., DING, J., 2020. Application of Music Artificial Intelligence in Preschool Music Education. IOP Conference Series: Materials Science and Engineering.

YU, X., MA, N., ZHENG, L., WANG, L., WANG, K. 2023. Developments and Applications of Artificial Intelligence in Music Education. Technologies, vol. 11, no. 2, pp. 42. https://doi.org/10.3390/technologies11020042.

ZHU, Y., BACA, J., REKABDAR, B., RAWASSIZADEH, R., 2023. A Survey of AI Music Generation Tools and Models. DOI:10.48550/ arXiv.2308.12982.

2025 година
Книжка 6
UNLOCKING THE POTENTIAL OF ESG AND AI IN HIGHER EDUCATION FINANCE: INSIGHTS FROM A STUDY ACROSS FIVE EUROPEAN COUNTRIES

Tina Vukasović, Rok Strašek, Liliya Terzieva;, Elenita Velikova, Justyna Tomala, Maria Urbaniec, Jarosław Pawlik, Michael Murg, Anita Maček

THE ROLE OF HIGHER EDUCATION FOR THE PROFESSIONAL REALIZATION OF STUDENTS – PROBLEMS AND PROSPECTS

Anny Atanasova, Viktoriya Kalaydzhieva, Radostina Yuleva-Chuchulayna, Kalina Durova-Angelova

Книжка 5
Книжка 4
ТРАНСФОРМАЦИИ НА ПАЗАРА НА ТРУДА И НУЖДАТА ОТ ОБРАЗОВАТЕЛНИ РЕФОРМИ

Ваня Иванова, Андрей Василев, Калоян Ганев, Ралица Симеонова-Ганева

Книжка 3
FORMING ENTREPRENEURIAL CULTURE THROUGH EDUCATION

Milena Filipova, Adriana Atanasova

Книжка 2s
THE STATE OF INCLUSION IN ADAPTED BASKETBALL

Stefka Djobova, Ivelina Kirilova

Книжка 2
MODEL OF PROFESSIONALLY DIRECTED TRAINING OF FUTURE ENGINEER-TEACHERS

Ivan Beloev, Valentina Vasileva, Іnna Savytska, Oksana Bulgakova, Lesia Zbaravska, Olha Chaikovska

DETERMINANTS AFFECTING ACADEMIC STAFF SATISFACTION WITH ONLINE LEARNING IN HIGHER MEDICAL EDUCATION

Miglena Tarnovska, ;, Rumyana Stoyanova, ;, Angelina Kirkova-Bogdanova;, Rositsa Dimova

Книжка 1s
AN INNOVATIVE MODEL FOR DEVELOPING DIGITAL COMPETENCES OF SOCIAL WORKERS

Lyudmila Vekova, Tanya Vazova, Penyo Georgiev, Ekaterina Uzhikanova-Kovacheva

Книжка 1
2024 година
Книжка 6s
DISRUPTIVE TECHNOLOGIES RISK MANAGEMENT

Miglena Molhova-Vladova, Ivaylo B. Ivanov

Книжка 6
AN INTEGRATIVE APPROACH TO ORGANIZING THE FORMATION OF STUDENTS’ COGNITIVE INDEPENDENCE IN CONDITIONS OF INTENSIFICATION OF LEARNING ACTIVITIES

Albina Volkotrubova, Aidai Kasymova, Zoriana Hbur, Antonina Kichuk, Svitlana Koshova, Svitlana Khodakivska

ИНОВАТИВЕН МОДЕЛ НА ПРОЕКТНО БАЗИРАНО ОБУЧЕНИЕ НА ГИМНАЗИАЛНИ УЧИТЕЛИ: ДОБРА ПРАКТИКА ОТ УниБИТ

Жоржета Назърска, Александър Каракачанов, Магдалена Гарванова, Нина Дебрюне

Книжка 5s
КОНЦЕПТУАЛНА РАМКА ЗА ИЗПОЛЗВАНЕ НА ИЗКУСТВЕНИЯ ИНТЕЛЕКТ ВЪВ ВИСШЕТО ОБРАЗОВАНИЕ

Акад. Христо Белоев, Валентина Войноховска, Ангел Смрикаров

ИЗСЛЕДВАНЕ ПРИЛОЖИМОСТТА НА БЛОКОВИ ВЕРИГИ ОТ ПЪРВО НИВО (L1) В СИСТЕМА ЗА ЕЛЕКТРОННО ОБУЧЕНИЕ

Андриан Минчев, Ваня Стойкова, Галя Шивачева, Доц Анелия Иванова

ПРЕДИЗВИКАТЕЛСТВА ПРИ ПРОМЯНА НА ПЛАТФОРМИ ЗА ДИСТАНЦИОННО ОБУЧЕНИЕ

Антон Недялков, Милена Кирова, Мирослава Бонева

APPLICATION OF ZSPACE TECHNOLOGY IN THE DISCIPLINES OF THE STEM CYCLE

Boyana Ivanova, Kamelia Shoilekova, Desislava Atanasova, Rumen Rusev

TEACHERS' ADAPTATION TO CHANGES IN AN INCREASINGLY COMPLEX WORLD THROUGH THE USE OF AI

Zhanat Nurbekova, Kanagat Baigusheva, Kalima Tuenbaeva, Bakyt Nurbekov, Tsvetomir Vassilev

АТОСЕКУНДНОТО ОБУЧЕНИЕ – МЕТАФОРА НА ДНЕШНОТО ОБРАЗОВАНИЕ

Юлия Дончева, Денис Асенов, Ангел Смрикаров, Цветомир Василев

Книжка 5
Книжка 4s
Книжка 4
MANAGERIAL ASPECTS OF COOPERATION AMONG HIGHER EDUCATION INSTITUTIONS AND THEIR STAKEHOLDERS

Olha Prokopenko, Svitlana Perova, Tokhir Rakhimov, Mykola Kunytskyi, Iryna Leshchenko

Книжка 3s
Книжка 3
Книжка 2
FORMATION OF PROFESSIONAL SKILLS OF AGRICULTURAL ENGINEERS DURING LABORATORY PRACTICE WHEN STUDYING FUNDAMENTAL SCIENCE

Ivan Beloev, Oksana Bulgakova, Oksana Zakhutska, Maria Bondar, Lesia Zbaravska

ИМИДЖ НА УНИВЕРСИТЕТА

Галя Христозова

Книжка 1s
COMPETITIVENESS AS A RESULT OF CREATIVITY AND INNOVATION

Nikolay Krushkov, Ralitza Zayakova-Krushkova

INTELLECTUAL PROPERTY AND SECURITY IN THE INTEGRATED CIRCUITS INDUSTRY

Ivan Nachev, Yuliana Tomova, Iskren Konstantinov, Marina Spasova

Книжка 1
PROBLEMS AND PERSPECTIVES FOR SOCIAL ENTREPRENEURSHIP IN HIGHER EDUCATION

Milena Filipova, Olha Prokopenko, Igor Matyushenko, Olena Khanova, Olga Shirobokova, Ardian Durmishi

2023 година
Книжка 6s
DEVELOPMENT OF A COMMON INFORMATION SYSTEM TO CREATE A DIGITAL CAREER CENTER TOGETHER WITH PARTNER HIGHER SCHOOLS

Yordanka Angelova, Rossen Radonov, Vasil Kuzmov, Stela Zhorzh Derelieva-Konstantinova

DRAFTING A DIGITAL TRANSFORMATION STRATEGY FOR PROJECT MANAGEMENT SECTOR – EMPIRICAL STUDY ON UAE

Mounir el Khatib, Shikha al Ali, Ibrahim Alharam, Ali Alhajeri, Gabriela Peneva, Jordanka Angelova, Mahmoud Shanaa

VOYAGE OF LEARNING: CRUISE SHIPS WEATHER ROUTING AND MARITIME EDUCATION

Svetlana Dimitrakieva, Dobrin Milev, Christiana Atanasova

СТРУКТУРНИ ПРОМЕНИ В ОБУЧЕНИЕТО НА МЕНИДЖЪРИ ЗА ИНДУСТРИЯ 5.0

Недко Минчев, Венета Христова, Иван Стоянов

RESEARCH OF THE INNOVATION CAPACITY OF AGRICULTURAL PRODUCERS

Siya Veleva, ; Margarita Mondeshka, Anka Tsvetanova

Книжка 6
Книжка 5s
ВИДОВЕ ТРАВМИ В ПАРАШУТИЗМА И ПРЕВЕНЦИЯТА ИМ

Капитан III ранг Георги Калинов

Книжка 5
Книжка 4s
DETERMINING THE DEGREE OF DIGITALIZATION OF A HIGHER EDUCATION INSTITUTION

Acad. Hristo Beloev, Angel Smrikarov, Valentina Voinohovska, Galina Ivanova

ОТ STEM КЪМ BEST: ДВА СТАНДАРТА, ЕДНА ЦЕЛ

Андрей Захариев, Стефан Симеонов, Таня Тодорова

Книжка 4
EFFECT OF RESILIENCE ON BURNOUT IN ONLINE LEARNING ENVIRONMENT

Radina Stoyanova, Sonya Karabeliova, Petya Pandurova, Nadezhda Zheckova, Kaloyan Mitev

Книжка 3s
INTELLIGENT ANIMAL HUSBANDRY: FARMER ATTITUDES AND A ROADMAP FOR IMPLEMENTATION

Dimitrios Petropoulos, Koutroubis Fotios, Petya Biolcheva, Evgeni Valchev

Книжка 3
STUDY OF THE DEVELOPMENT OF THE USE OF COMMUNICATIVE TECHNOLOGIES IN THE EDUCATIONAL PROCESS OF ENGINEERS TRAINING

Ivan Beloev, Valentina Vasileva, Sergii Bilan, Maria Bondar, Oksana Bulgakova, Lyubov Shymko

Книжка 2
РАЗПОЛОЖЕНИЕ НА ВИСШИТЕ УЧИЛИЩА В БЪЛГАРИЯ В КОНТЕКСТА НА ФОРМИРАНЕ НА ПАЗАРА НА ТРУДА

Цветелина Берберова-Вълчева, Камен Петров, Николай Цонков

Книжка 1
MODERNIZATION OF THE CONTENT OF THE LECTURE COURSE IN PHYSICS FOR TRAINING FUTURE AGRICULTURAL ENGINEERS

Ivan Beloev, Valentina Vasileva, Vasyl Shynkaruk, Oksana Bulgakova, Maria Bondar, Lesia Zbaravska, Sergii Slobodian

2022 година
Книжка 6
ORGANIZATION OF AN INCLUSIVE EDUCATIONAL ENVIRONMENT FOR THE STUDENTS WITH SPECIAL NEEDS

Halyna Bilavych, Nataliia Bakhmat, Tetyana Pantiuk, Mykola Pantiuk, Borys Savchuk

ДИГИТАЛИЗАЦИЯ НА ОБРАЗОВАНИЕТО В БЪЛГАРИЯ: СЪСТОЯНИЕ И ОБЩИ ТЕНДЕНЦИИ

Теодора Върбанова, Албена Вуцова, Николай Нетов

Книжка 5
ПРАВОТО НА ИЗБОР В ЖИВОТА НА ДЕЦАТА В РЕПУБЛИКА БЪЛГАРИЯ

Сийка Чавдарова-Костова, Даниела Рачева, Екатерина Томова, Росица Симеонова

Книжка 4
DIAGNOSIS AS A TOOL FOR MONITORING THE EFFECTIVENESS OF ADDICTION PREVENTION IN ADOLESCENTS

O.A. Selivanova, N.V. Bystrova, I.I. Derecha, T.S. Mamontova, O.V. Panfilova

Книжка 3
ПУБЛИЧНОТО РАЗБИРАНЕ НА НАУКАТА В МРЕЖОВИЯ СВЯТ

Светломир Здравков, Мартин Й. Иванов, Петя Климентова

Книжка 2
Книжка 1
ДИГИТАЛНАТА ИНТЕРАКЦИЯ ПРЕПОДАВАТЕЛ – СТУДЕНТ В ОНЛАЙН ОБУЧЕНИЕТО В МЕДИЦИНСКИТЕ УНИВЕРСИТЕТИ

Миглена Търновска, Румяна Стоянова, Боряна Парашкевова, Юлияна Маринова

2021 година
Книжка 6
Книжка 5
Книжка 4s
SIGNAL FOR HELP

Ina Vladova, Milena Kuleva

Книжка 4
PREMISES FOR A MULTICULTURAL APPROACH TO EDUCATION

Anzhelina Koriakina, Lyudmila Amanbaeva

Книжка 3
Книжка 2
ПЪРВА СЕДМИЦА ДИСТАНЦИОННО ОБУЧЕНИЕ В СУ „ИВАН ВАЗОВ“ В СТАРА ЗАГОРА

Тони Чехларова, Динко Цвятков, Неда Чехларова

Книжка 1
METHODOLOGY OF SAFETY AND QUALITY OF LIFE ON THE BASIS OF NOOSPHERIC EDUCATION SYSTEM FORMATION

Nataliia Bakhmat, Nataliia Ridei, Nataliia Tytova, Vladyslava Liubarets, Oksana Katsero

2020 година
Книжка 6
HIGHER EDUCATION AS A PUBLIC GOOD

Yulia Nedelcheva, Miroslav Nedelchev

Книжка 5
НАСЪРЧАВАНЕ НА СЪТРУДНИЧЕСТВОТО МЕЖДУ ВИСШИТЕ УЧИЛИЩА И БИЗНЕСА

Добринка Стоянова, Блага Маджурова, Гергана Димитрова, Стефан Райчев

Книжка 4
THE STRATEGY OF HUMAN RIGHTS STUDY IN EDUCATION

Anush Balian, Nataliya Seysebayeva, Natalia Efremova, Liliia Danylchenko

Книжка 3
Книжка 2
МИГРАЦИЯ И МИГРАЦИОННИ ПРОЦЕСИ

Веселина Р. Иванова

SOCIAL STATUS OF DISABLED PEOPLE IN RUSSIA

Elena G. Pankova, Tatiana V. Soloveva, Dinara A. Bistyaykina, Olga M. Lizina

Книжка 1
ETHNIC UPBRINGING AS A PART OF THE ETHNIC CULTURE

Sholpankulova Gulnar Kenesbekovna

2019 година
Книжка 6
EMOTIONAL COMPETENCE OF THE SOCIAL TEACHER

Kadisha K. Shalgynbayeva, Ulbosin Zh.Tuyakova

Книжка 5
Книжка 4
Книжка 3
УЧИЛИЩЕТО НА БЪДЕЩЕТО

Наталия Витанова

Книжка 2
Книжка 1
POST-GRADUATE QUALIFICATION OF TEACHERS IN INTERCULTURAL EDUCATIONAL ENVIRONMENT

Irina Koleva, Veselin Tepavicharov, Violeta Kotseva, Kremena Yordanova

ДЕЦАТА В КОНСТИТУЦИОННИТЕ НОРМИ НА БЪЛГАРИЯ

Румен Василев, Весела Марева

СЪСТОЯНИЕ НА БЪЛГАРСКОТО ОБРАЗОВАНИЕ

Анелия Любенова, Любомир Любенов

ЕДИН НОВ УЧЕБНИК

Ирина Колева

2018 година
Книжка 6
Книжка 5
A NEW AWARD FOR PROFESSOR MAIRA KABAKOVA

Irina Koleva, Editor-in-

Книжка 4
Книжка 3
BLENDED EDUCATION IN HIGHER SCHOOLS: NEW NETWORKS AND MEDIATORS

Nikolay Tsankov, Veska Gyuviyska, Milena Levunlieva

ВЗАИМОВРЪЗКАТА МЕЖДУ СПОРТА И ПРАВОТО

Ивайло Прокопов, Елица Стоянова

ХИМЕРНИТЕ ГРУПИ В УЧИЛИЩЕ

Яна Рашева-Мерджанова

Книжка 2
Книжка 1
2017 година
Книжка 6
ЗНАЧИМОСТТА НА УЧЕНЕТО: АНАЛИЗ НА ВРЪЗКИТЕ МЕЖДУ ГЛЕДНИТЕ ТОЧКИ НА УЧЕНИЦИ, РОДИТЕЛИ И УЧИТЕЛИ

Илиана Мирчева, Елена Джамбазова, Снежана Радева, Деян Велковски

Книжка 5
ОРГАНИЗАЦИОННА КУЛТУРА В УЧИЛИЩЕ

Ивайло Старибратов, Лилия Бабакова

Книжка 4
КОУЧИНГ. ОБРАЗОВАТЕЛЕН КОУЧИНГ

Наталия Витанова, Нели Митева

Книжка 3
Книжка 2
Книжка 1
ЕМПАТИЯ И РЕФЛЕКСИЯ

Нели Кънева, Кристиана Булдеева

2016 година
Книжка 6
Книжка 5
Книжка 4
Книжка 3
Книжка 2
Книжка 1
2015 година
Книжка 6
Книжка 5
Книжка 4
ПРАГМАТИЧНАТА ДИДАКТИКА

Николай Колишев

Книжка 3
Книжка 2
Книжка 1
2014 година
Книжка 6
Книжка 5
КОХЕРЕНТНОСТ НА ПОЛИТИКИ

Албена Вуцова, Лиляна Павлова

Книжка 4
USING THE RESULTS OF A NATIONAL ASSESSMENT OF EDUCATIONAL ACHIEVEMENT

Thomas Kellaghan, Vincent Greaney, T. Scott Murray

Книжка 3
USING THE RESULTS OF A NATIONAL ASSESSMENT OF EDUCATIONAL ACHIEVEMENT

Thomas Kellaghan, Vincent Greaney, T. Scott Murray

Книжка 2
PROFESSIONAL DEVELOPMENT OF UNIVERSITY FACULTY: А SOCIOLOGICAL ANALYSIS

Gulnar Toltaevna Balakayeva, Alken Shugaybekovich Tokmagambetov, Sapar Imangalievich Ospanov

USING THE RESULTS OF A NATIONAL ASSESSMENT OF EDUCATIONAL ACHIEVEMENT

Thomas Kellaghan, Vincent Greaney, T. Scott Murray

Книжка 1
РЕФЛЕКСИЯТА В ИНТЕГРАТИВНОТО ПОЛЕ НА МЕТОДИКАТА НА ОБУЧЕНИЕТО ПО БИОЛОГИЯ

Иса Хаджиали, Наташа Цанова, Надежда Райчева, Снежана Томова

USING THE RESULTS OF A NATIONAL ASSESSMENT OF EDUCATIONAL ACHIEVEMENT

Thomas Kellaghan, Vincent Greaney, T. Scott Murray

2013 година
Книжка 6
Книжка 5
Книжка 4
QUESTIONNAIRE DEVELOPMENT

ÎÖÅÍßÂÀÍÅÒÎ

Книжка 3
MASS MEDIA CULTURE IN KAZAKHSTAN

Aktolkyn Kulsariyeva Yerkin Massanov Indira Alibayeva

РЪКОВОДСТВО ЗА СЪСТАВЯНЕ НА ТЕСТОВЕ*

Фернандо Картрайт, Джери Мусио

РОССИЙСКАЯ СИСТЕМА ОЦЕНКИ КАЧЕСТВА ОБРАЗОВАНИЯ: ГЛАВНЫЕ УРОКИ

В. Болотов / И. Вальдман / Г. Ковалёва / М. Пинская

Книжка 2
ОЦЕНЯВАНЕ НА ГРАЖДАНСКИТЕ КОМПЕТЕНТНОСТИ НА УЧЕНИЦИТЕ: ПРЕДИЗВИКАТЕЛСТВА И ВЪЗМОЖНОСТИ

Светла Петрова Център за контрол и оценка на качеството на училищното образование

РЪКОВОДСТВО ЗА СЪСТАВЯНЕ НА ТЕСТОВЕ*

Фернандо Картрайт, Джери Мусио

Книжка 1
Уважаеми читатели,

вет, както и от международния борд за предоставените статии и студии, за да могат да бъдат идентифицирани в полето на образованието пред широката аудитория от педа- гогически специалисти във всички степени на образователната ни система. Благодаря за техния всеотдаен и безвъзмезден труд да създават и популяризират мрежа от научни съобщества по профила на списанието и да насърчават научните изследвания. Благодаря на рецензентите от национално представените висши училища, на- учни институции и

РЪКОВОДСТВО ЗА СЪСТАВЯНЕ НА ТЕСТОВЕ

Фернандо Картрайт, Джери Мусио

2012 година
Книжка 6
DEVELOPMENT OF SCIENCE IN KAZAKHSTAN IN THE PERIOD OF INDEPENDENCE

Aigerim Mynbayeva Maira Kabakova Aliya Massalimova

Книжка 5
Книжка 4
Книжка 3
СИСТЕМАТА ЗА РАЗВИТИЕ НА АКАДЕМИЧНИЯ СЪСТАВ НА РУСЕНСКИЯ УНИВЕРСИТЕТ „АНГЕЛ КЪНЧЕВ“

Христо Белоев, Ангел Смрикаров, Орлин Петров, Анелия Иванова, Галина Иванова

Книжка 2
ПРОУЧВАНЕ НА РОДИТЕЛСКОТО УЧАСТИЕ В УЧИЛИЩНИЯ ЖИВОТ В БЪЛГАРИЯ

* Този материал е изготвен въз основа на резултатите от изследването „Parental Involvement in Life of School Matters“, проведено в България в рамките на проек- та „Advancing Educational Inclusion and Quality in South East Europe“, изпълняван

ВТОРИ ФОРУМ ЗА СТРАТЕГИИ В НАУКАТА

Тошка Борисова В края на 2011 г. в София се проведе второто издание на Форум за страте- гии в науката. Основната тема бе повишаване на международната видимост и разпознаваемост на българската наука. Форумът се организира от „Elsevier“ – водеща компания за разработване и предоставяне на научни, технически и медицински информационни продукти и услуги , с подкрепата на Министер- ството на образованието, младежта и науката. След успеха на първото издание на Форума за стратегии в науката през

Книжка 1
РЕЙТИНГИ, ИНДЕКСИ, ПАРИ

Боян Захариев