Стратегии на образователната и научната политика

2023/3s, стр. 104 - 116

INTELLIGENT ANIMAL HUSBANDRY: FARMER ATTITUDES AND A ROADMAP FOR IMPLEMENTATION

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1. Introduction

Agriculture and especially animal husbandry is closely related to human history and development. According to Rojas-Downing, and his team (2017), farmers need to almost double their production in the next few decades to meet the growing global demand for meat and animal products (Rojas-Downing, et al. 2017), i.e. it is necessary to find ways to improve animal husbandry (Neethirajan 2020) and to reach the socalled precision agriculture (Stafford 2000). This requires the application of modern approaches, strategies and technologies through which the most appropriate actions are taken to meet the specific needs of the animals and the interests of the producers. In this way, we can talk about the production of products with certain qualities, with maximum efficiency, minimal negative impact on animals and the environment, sparing use of natural resources (Valchev et al. 2022).

Modern approaches for monitoring the behavior of animals require monitoring their health status, establishing the moment of breeding, registering the moment of conception (Riaboffa, et al. 2020); behavior, caloric food intake, grazing, active behavior, distance traveled, experience, passive lying down, milk composition, etc. For optimization and more complete tracking and monitoring, the use of sensors for intelligent monitoring of animal’s behavior has increased in recent years (Rutten, et al. 2013). It is accompanied by the application of various artificial intelligence tools, on the basis of which an analysis of the behavior and health of each individual animal is carried out. The application of AI and high technology in the agricultural sector is not new. Intelligent animal husbandry aims to improve its efficiency by focusing on animal welfare – health, safety, behavioral and emotional expression (Alves 2021). A number of publications highlights the wide range of use of various sensors, data processing and transmission, AI models, machine learning (ML), deep learning (DL), artificial neural networks (ANN), etc., in condition identification of animals (Daiab et al. 2020), their behavior (Riaboffa et al. 2020), course of diseases (Volkmann et al. 2021) and others. Intelligent animal husbandry is also based on the concepts of Industry 4.0. According to them, the application of intelligent systems for automated management of processes in animal husbandry will significantly increase the quality of production (Ministry of Economy of the Republic of Bulgaria 2017).1

The main advantages of intelligent animal husbandry include:

– Animal welfare, including: analysis of animal reproduction and behavior; reduction of animal stress and analysis of breeding conditions, according to the specifics of the breed; analysis of the gene pool of the animal and optimization of selection during crossing; minimizing the likelihood of adverse farm events that may affect productivity and profitability (Shine and Murphy 2022);

– Economic benefits, including: increasing the total profit of livestock breeders; reduction of losses due to disease or premature death of animals; increasing the quality of production; the increase in herd size without additional labor costs; (Shine and Murphy 2022) quantitative and qualitative determination of the milk produced in dairy farms (Slob et al. 2021) and others.

– Environmental protection, including prevention of natural food sources and preservation of natural grasslands.

Along with the advantages, some disadvantages are also identified: technical failures due to methodological and physical and technical reasons; long initial training time (validation of data on specific animals over a period of time); prejudice and lack of trust in technology by farmers (Kling-Eveillard, et al. 2020) (Bartzanas et al. 2017) and others.

Clearly, a sustainable future depends on understanding the diversity and complexity of livestock systems, the uptake of intelligent systems, and the particular motivations and challenges facing stakeholders in periods of highly dynamic environments (FAO 20192). The timing of farmers' decision to transform will determine their future success. This topic is of global interest, with the largest number of studies conducted in China, followed by the USA, Great Britain and Germany. The application of AI technologies to dairy or beef cattle is often discussed, followed by pigs and poultry (Bao and Xie 2022). Despite the abundance of research on the topic, the literature synthesis shows that AI technologies have not yet entered widespread practice (Benjamin and Yik 2019). This gives us reason to investigate the reasons for this by examining farmers' attitudes and their propensity to use high-potential systems in animal husbandry. The research question we pose is what is the propensity of farmers to use AI technologies in animal husbandry, what would motivate them and what are their inhibitions?

In order to get an answer, in this material we successively reveal: what are the possibilities of AI tools in animal husbandry and in particular in sheep breeding; we conduct research on sheep farmers in a region of the Peloponnese (southern Greece) that is traditional with this activity; we analyse the results and draw conclusions and propose a road map to expand the use of intelligent sheep herd monitoring systems.

2. Opportunities of AI in animal husbandry

To determine the propensity of sheep farmers to switch to intelligent animal husbandry, we look at several main areas where AI technologies are useful:

– Intelligent technologies providing information on the health status of the animals, including changes in the activity and stress level of the individual animal;

– Intelligent technologies providing information on the moment of initiation, fertilization and the course of pregnancy;

– Visualization of the location and exact GPS coordinates of the animal;

– Required daily caloric intake.

Table 1. describes what information farmers would receive in the indicated areas and the way in which it is collected, stored, processed and analysed.

Table 1. Need for data and AI analytics for knowledge mining in intelligent livestock

Required dataMethod ofcollection,transmission,storage andprocessing of dataAnalysis ofthe receivedinformation usingML and AIFinal resultHealth statusBehavioral patternsand data related tothe animal's activity(distance traveled,Collection, throughindividual sensorgroups mounted insmart collarsUsing methodsand algorithms todetect behavioralpatterns;Uservisualizationof the data,inferences,
Health statushead movement,etc.), according toage, temperament,sex, breed, periodof the year, etc.attached to eachanimal;Broadcasting, viabroadband andbroadband radiochannels;Storage, throughcloud infrastructurewith big data;Data processing,through decryption,normalization andparameterization ofinformation;Extractingknowledgefrom information- applyingAI todetect behavioralalgorithms anddetermine realstate and generateinferences.Checking thecredibility of themodels, throughcalibration andexpert verication;Model bug xesand trackingtheir proper work;Introducingprinciples and self-learning articialintelligence forcontinuous modelimprovement anddiscoveryof new ones(Valchev et al.2021).past, currentand futureevents relatedto the healthstatus of eachindividualanimal.ReproductionBehavioral patternsrelated to themoments of estrus,fertilization andpregnancyUservisualizationof timing,fertilizationandpregnancyprogress data.Required caloricintakeBehavioral patternsof the animalfor movement,distance traveled(for free grazers);time to experience;Parameters fromGPS etc.Uservisualizationof saturationdata, type ofgrass quality(for freegrazers), etc.LocationLocating GPScoordinates, viacoordinate systemfor determiningphysical locationCollection, throughindividual sensorgroups mountedin smart collarsattached to eachanimal;Broadcasting, viabroadband andbroadband radiochannels;Storage, throughcloud infrastructurewith big data;Data processing,through decryption,normalization andparameterization ofthe information.Here, a separateAI analysis forlocalization is notnecessary;Location data isadded to relevantbehavioral modelsand providesinsights into otherparameters.User datavisualizationof exactlocationof eachindividualanimal.

Smart animal collars measure or detect biological, chemical, physical or mechanical properties or a combination of these properties (Neethirajan 2020). With the help of AI, behavioral patterns of observed animals are detected and analyzed (Valchev et al. 2021), in order to minimize potential risks. AI analyzes provide information on the required caloric intake of each animal and the level to which it has been achieved, so that it produces an optimal quantity and quality of production (milk). At the same time, the main cost-generating elements – for food and medicine (Neethirajan 2020) are optimized.

In addition to the herd, in animal husbandry, the availability of grazing areas – own or leased pastures and meadows, as well as the method of cultivation – are also important. The effect of the application of AI technologies is significantly greater in freely grazing animals. The main unit of measurement for establishing the quality of the pasture is the grass resistance. Pasture monitoring shows the condition of the grass and when the herd should be moved to another grazing area. Thus, it is possible to restore the grass mass preferred by the animals. The AI analyzes the satiety of the sheep in relation to their movement and behavior on the pasture, and through it the condition and quality of the grass in the area. The effect of smart technologies would be less if the herd is raised in pens with artificial and/or natural food mixtures based on daily rations. In this way, the specific needs of each animal and its individual nutritional needs cannot be precisely determined. All this would be beneficial to the breeders. Most studies related to the use of smart monitoring in dairy animals are conducted on cows (Puupponen et al. 2020) (Jerhamre et al. 2022) whose owners declare a tendency to use. However, sufficient information is lacking for research on sheep. It is known that the principles of the devices and the conclusions they give are similar, but it is not known what their entry into practice is. To fill this gap, we investigate the propensity of sheep farmers to enter into intelligent animal husbandry.

3. Method

3.1. Farms covered by the survey

Greece is an agricultural country with developed animal husbandry (Vlyssides et al. 2015). The Peloponnese peninsula (southern Greece) was chosen for conducting the research. It is characterized by centuries-old traditions in sheep breeding and continuity between generations. Since ancient times, the Greeks have had considerable credit for innovations in animal husbandry. They developed sophisticated animal husbandry techniques (Kron 2012). Moreover, in the area there is a university with a faculty of agricultural technology and agrotechnology (University of Peloponnese3), where young farmers are trained. They are actively working on the development of rural regions and public-private partnerships (Manos et al. 2014). This gives reason to define the area as suitable for conducting the research.

There are 100 respondents in the study. owners of flocks of sheep. They were recruited through several approaches: 1. Using the contacts of an expert bureau for consulting services for innovations in livestock breeding; 2. Attracting the customers of one of the main local dairies; 3. Through the Scientific Laboratory of Agrarian Economy, Development and Entrepreneurship of the University of Peloponnese. In order to represent the sample, respondents from different age groups, level of education and size of sheep flocks were sought.

3.2. Methods of conducting the research

The research was conducted using two methods: a survey and in-depth interviews. Survey research, as a form of research, is the primary means of collecting quantitative primary data. It enables the collection of quantitative data in a standardized manner so that the data reveal a consistent and valuable analysis (Roopa and Rani 2012). The method was chosen as the most suitable for data collection, providing guarantees while preserving the anonymity and free will of the respondents. The conducted survey is organized within 14 main questions. Most of the questions were closed-ended with leading answers, providing respondents with a variety of alternatives. There are also issues related to determining the extent to which they would benefit from the use of the above areas of intelligent animal husbandry. The main group of questions in the survey concern the way in which the herds are currently raised, the needs of the farmers in terms of intelligent animal husbandry, what of the AI possibilities on offer they would use.

In-depth interviews were conducted among a narrower range of respondents. Their aim is the unfolding of opinions, experiences, values and various other aspects (Showkat and Parveen 2027) of the studied sheep breeders. The range of respondents here includes various experts with direct observation of farmers' attitudes, as well as a sample of farmers. The questions in the in-depth interview cover both more general topics repeating those of the questionnaire, and those of a more delicate nature, referring to various barriers and inhibitions of farmers regarding the application of AI in their activity.

The period in which the research was conducted is the second quarter of 2022. This period was accompanied by a high degree of economic and geopolitical turmoil, which affected the livestock sector in the Peloponnese.

4. Results and discussion

Analyzing the results requires determining the profile of the respondents and the size of their herds. Summary information about it is given in the Table. 2

Table 2. Basic data on the studied sheep breeders and the size of the flocks

Age (in %)Education (in %)Herd size (in %)Number engagedin the rearingof the herds (in %)Up to 25926 – 352036 – 452646 – 5534Over 5611Less than high school3High school68Graduate degree29Up to 50 sheep15From 50 to 10035From 101 to 20033Over 200 sheep17Up tp 383Up to 1012Over 105

The main expenditure elements of animal breeders are for food – 75%; medical care and medicines – 18%; labor costs – 4% and other costs – 3%. Such a structure of expenses is declared by sheep breeders, not including their personal labor costs in this composition.

Regarding the introduction of new technologies in animal husbandry, 75% of the respondents stated that they use some type of automation in raising sheep and/ or processing sheep products. They demonstrate a good attitude towards potentially using the possibilities of technological innovations in animal husbandry, if this would increase the health of the animals, the quality of the production and optimize the costs of their care. 33% of breeders categorically state that they would introduce such innovations, and only 2% categorically state that they are against it. However, the respondents' answers show that high technology is still lacking in their practice. Evidence is that 90% of them rely primarily on human labor for animal grazing. The percentage of those who rely on electronic shepherds for grazing is low, only 10% who use them and 24% who state that they would use them. Directing the questions to the nature of the research, the livestock farmers surveyed were asked if they thought it would be useful to use electronic guidance devices to control the location of the herd instead of shepherds. Here, their answers are diverse – 24% are categorically in favor; another 20% rather support such a decision, but with certain reservations; for 18% it is difficult to give a definite answer to this question; the percentages of respondents who reject this idea are almost the same – 21% would rather not lead to this type of herd management and 17% are categorically against it.

The next group of questions are directly aimed at the aforementioned possibilities of AI, in the studied directions: health status; reproduction; required caloric intake; location. Here, respondents are asked whether it would be useful for them if each animal were fitted with a collar with a sensor to track the indicated directions. Breeders give their rating in numerical form, with possible answers on an ascending scale from 1 to 5. The resulting mean ratings are shown in Figure 1.

From Figure 1, it is clear that the most significant benefit of using AI monitoring on animals for their owners is related to the possibility of obtaining anticipatory information about the health status of the specific animal. Once the understanding of the benefits is clearly realized, it is important to find out if they are willing to take advantage of these innovations. When asked if they are willing to invest in innovations related to the prevention of animal health, 73% of their owners state that they have such a desire and only 5% who categorically refuse, the remaining 22% have various reservations and it is difficult for them to give a definite answer. A specific question was also asked whether they would invest in such software if the investment was recouped within up to 20 months (from fewer animal diseases and drugs, increased and improved production). The answers to this question largely overlap with the previous one. Those who have expressed their readiness confirm it.

Although the demonstrated attitude of the respondents is positive, the research shows that very few of them have a high degree of automation in their production, and the application of AI is not available. This led us to look for the barriers facing

Figure 1. Benefits of using AI monitoring of sheep for their farmers

breeders. Given the delicacy of the subject, the approach here is to establish the barriers through in-depth interviews. The results are presented in the form of conclusions. They can be summarized in several main areas:

– Despite their claim that they are aware of the availability of AI-based animal monitoring systems, they are not sufficiently aware of their real benefits. This is due to the fact that they do not have a visual example from a real application. A potential trial of such a system in several farms would give positive results and gain the confidence of a large proportion of farmers;

– Livestock breeders have concerns when handling high technology. Although they are users and would only receive final conclusions from the results after the analysis of the AI tools.

– The unstable economic environment, i.e. the constant tendency to increase the supply, especially of feed, is driving the breeders away from the relevant investments.

– The lack of a specialized animal husbandry department at the University of the Peloponnese. A relevant department would contribute to the diffusion and adoption of new technologies and mitigate the objections expressed.

– The limited activity of the Directorate of Veterinary Medicine of the Peloponnese region.

– The lack of innovators – innovative breeders to contribute to motivating others.

Table 1 shows the methodology that will be followed for the collection, analysis and dissemination of the information that may be collected by the artificial intelligence systems. This applies mainly to farms based on a system of intensive cultivation and the use of artificial pastures, it will be possible to analyze the data and create models that accurately describe the functions and needs of the animals. But when the system is used on extensive farms where the animals are not housed in pens and are not systematically given a standard ration, then the data will not be accurate. In order to solve this problem, additional data collection and analysis, such as meteorological data, grazing capacity of the pastures used, nutritional analyzes of the feed received and its quantity, must be simultaneously “launched”. By integrating these data, the described system will be able to work in traditional farms, which are the majority in the area of Southern Greece.

5. Road map

The purpose of this roadmap is to facilitate the process of introducing AI in sheep farming. As shown in the results of the study conducted in the area, and according to the observations of the authors in other such, a main reason that slows down the entry of smart technology is not directly related to financing and. The majority of barriers are aimed at a lack of innovation and technological constraints in livestock producers. This is the reason why we propose here a road map to facilitate the process of spreading AI in sheep farming. It was developed for application both to the studied area and to other geographical areas with developed sheep farming.

Holdinginformation daysSelection of farmsand animalsfor theapprobation ofintelligent sheepfarmingProvision ofnecessaryhardware andsoftwareTraining of selectedfarmersMonitoring andanalysis of resultsDemonstrationeventsDiffusion ofinnovationAdvancingintelligent sheepfarming

Figure 2. Roadmap for smart sheep adoption

The road map starts with the holding of information days attended by sheep breeders from a given region. In their frames, the benefits of intelligent sheep farming are presented. During this forum, it is important to draw up lists of willing farms on which to test the smart technology. The aim here is to single out the more innovative and brave farmers to set an example for others and thus gain the trust of the whole community. The next step involves selecting one and/or a small number of farms to test the system. At this stage, the participation of the farmer is important to ensure that there is no threat to the animals and to monitor the whole process. The necessary software and hardware are also provided here. The animals are fitted with leashes with sensor devices that record their behavior. The results serve to train the system and establish the correct signals to the users. The time for testing and training the system is also time for training the farmers themselves. A test period follows to analyze the results, develop self-learning and refine the intelligent system in the test farms. Once the intelligent system has been tested and the farmer's trust has been won, new events are organized aimed at all sheep farmers in the community. They take the form of various forums and other demonstration events. Here the aim is for them to get first-hand information from the test farms. In this way, their confidence in the offered smart product is also increased. Within this step, a list of all farms willing to introduce intelligent sheep farming is drawn up. At the next stage, the diffusion of the innovation takes place, through distribution to the willing farms. The benefits of using intelligent systems in animal husbandry are related to their constant self-learning and improvement over time. This shows that the effect for farmers will increase. This shows that the effect for farmers will increase. In practice, organizations that offer a similar type of service (sigma taurs)4 are already appearing, which testify that the interest in intelligent animal husbandry will only grow.

Conclusion

This article outlines the future development of the traditional sheep farming industry. To be resistant to the dynamics of the environment, it needs to undergo a change that makes it more flexible. The path to this change is linked to overcoming farmers' inhibitions in the sector and moving them towards the use of intelligent animal monitoring systems. Here, the main advantages of using intelligent animal husbandry, which provide direct data regarding the health status of animals and the detection of early symptoms of its disturbance, were outlined; the reproduction of sheep by establishing the exact moments of dispersal, fertilization and pregnancy; the necessary caloric intake to optimally satisfy the needs of the animal, respectively for the quality and quantity of milk; establishing the exact location of the animal in case of loss from the herd. In this material, one hundred owners of sheep farms were surveyed and their attitudes regarding their need for the use of intelligent flock monitoring systems were analyzed. Based on the results of the study, a road map facilitating the process of their entry into intelligent animal husbandry is also presented.

The analysis of the results of the conducted research shows that a number of recommendations can be given, both to managers of the livestock sector and to farm owners. On the one hand, the governing body should focus its efforts on creating a stimulating environment for the development of intelligent animal husbandry: developing flexible policies, various financial programs and tax incentives, supporting experimental farms, etc. On the other hand, farmers must be more courageous and adaptable to changes in the environment and increase the efficiency of their production through modern innovations.

This gives reason to the research team of this material to continue research in the field of intelligent animal husbandry. He is directing his next research steps in the field to develop a methodology to incentivize sheep farm owners to enter into intelligent animal husbandry.

Аcknowledgments

The article was prepared as part of the implementation of the project “EconEd 2030: BG05M2OP001-2.016-0004-C01 Economic education in Bulgaria 2030”.

NOTES

1. Ministry of Economy of the Republic of Bulgaria, “Concept for digital transformation of the Bulgarian industry (Industry 4.0)”, 08 2017. Available at: https://mi.government.bg/bg/themes/koncepciya-zacifrova-transformaciya-nabalgarskata-industriya-industriya-4-0-1862-468.html.

2. FAO, 2019. Five practical actions towards low-carbon livestock., Available at: https://www.fao.org/policy-support/tools-and-publications/resources-details/ en/c/1257346/.

3. University of Peloponnese, https://www.uop.gr/en.

4. Sigma taurus, available at: https://sigmataurus.bg/en/.

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2024 година
Книжка 6s
DISRUPTIVE TECHNOLOGIES RISK MANAGEMENT

Dr. Miglena Molhova-Vladova, Dr. Ivaylo B. Ivanov

THE DUAL IMPACT OF ARTIFICIAL INTELLIGENCE: CATALYST FOR INNOVATION OR THREAT TO STABILITY

Prof. Diana Antonova, Dr. Silvia Beloeva, Assist. Prof., Ana Todorova, PhD student

MARKETING IN TOURISM: PRACTICAL EVIDENCES

Dr. Fahri Idriz, Assoc. Prof.

DEVELOPMENT OF THE INFORMATION ECONOMY CONCEPT AND THE TRANSITION TO INDUSTRY 5.0

Dr. Dora Doncheva, Assist. Prof., Dr. Dimitrina Stoyancheva, Assoc. Prof.

THE GLOBAL MARKET AS A PROJECTION OF THE INFORMATION ECONOMY

Dr. Vanya Hadzhieva, Assist. Prof. Dr. Dora Doncheva, Assist. Prof.

ACADEMIC ENTREPRENEURSHIP: PRACTICAL RESULTS AND TRAINING

Prof. Nikolay Sterev, DSc., Dr. Daniel Yordanov, Assoc. Prof.

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

Dr. Albina Volkotrubova, Assoc. Prof. Aidai Kasymova Prof. Zoriana Hbur, DSc. Assoc. Prof. Antonina Kichuk, DSc. Dr. Svitlana Koshova, Assoc. Prof. Dr. Svitlana Khodakivska, Assoc. Prof.

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

Проф. д-р Жоржета Назърска, доц. д-р Александър Каракачанов, проф. д-р Магдалена Гарванова, доц. д-р Нина Дебрюне

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

Акад. д.н. Христо Белоев, проф. д.н. Валентина Войноховска, проф. д-р Ангел Смрикаров

ИЗКУСТВЕНИЯТ ИНТЕЛЕКТ В БИЗНЕСА – ФИНАНСОВИ, ИКОНОМИЧЕСКИ И МАРКЕТИНГОВИ АСПЕКТИ

Проф. д-р Андрей Захариев, доц. д-р Драгомир Илиев Гл. ас. д-р Даниела Илиева

RECENT TRENDS AND APPLICATIONS OF THE ARTIFICIAL INTELLIGENCE IN THE EDUCATION

Prof. Dr. Plamen Zahariev, Prof. Dr. Georgi Hristov, Prof. Dr. Ivan Beloev

COMPARATIVE ANALYSIS OF UTILIZING POPULAR INTELLIGENT COMPUTER SYSTEMS IN EDUCATION

Dr. Galina Ivanova, Assoc. Prof. Dr. Aleksandar Ivanov, Assoc. Prof.

CONCEPTUAL MODEL OF TRAINING IN REMOTE VIRTUAL SUPERVISION IN SOCIAL WORK

Dr. Silviya Beloeva, Assist. Prof. Dr. Nataliya Venelinova, Assist. Prof.

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

Андриан Минчев, проф. Ваня Стойкова, гл. ас. д-р Галя Шивачева Доц д-р Анелия Иванова

DIGITAL DISCRIMINATION RISKS IN THE TRANSFORMATION OF HIGHER EDUCATION

Dr. Silviya Beloeva, Assist. Prof. Dr. Nataliya Venelinova, Assist. Prof.

OPPORTUNITIES, CHALLENGES AND SOLUTIONS FOR DIGITAL TRANSFORMATION OF THE EDUCATIONAL PROCESSES THROUGH 3D TECHNOLOGIES

Prof. Georgi Hristov, Prof. Plamen Zahariev, Dr. Diyana Kinaneva, Assist. Prof., Georgi Georgiev, Assist. Prof.

ДИГИТАЛНОТО ПОКОЛЕНИЕ VS. СЛЯТОТО, ПОЛУСЛЯТОТО И РАЗДЕЛНОТО ПИСАНЕ

Доц. д-р Владислав Маринов, ас. Анита Тодоранова

OPPORTUNITIES AND CHALLENGES FOR THE EDUCATION OF STUDENTS WITH SPECIAL EDUCATIONAL NEEDS IN THE DIGITAL ENVIRONMENT: THE NEW NORMAL

Prof. Julia Doncheva, DSc., Dr. Galina Ivanova, Assoc. Prof. Dilshod Tojievich Oblokulov

ИЗГРАЖДАНЕ НА КОМПЕТЕНЦИИ ЗА РАЗРАБОТВАНЕ НА STEM ОБУЧИТЕЛНИ РЕСУРСИ У БЪДЕЩИ УЧИТЕЛИ ПО ПРИРОДНИ НАУКИ

Доц. д-р Евгения Горанова, проф. д.н. Валентина Войноховска, проф. д-р Ангел Смрикаров

APPLICATION OF ZSPACE TECHNOLOGY IN THE DISCIPLINES OF THE STEM CYCLE

Boyana Ivanova, Assist. Prof. Dr. Kamelia Shoilekova, Assoc. Prof. Dr. Desislava Atanasova, Assoc. Prof. Dr. Rumen Rusev, Assoc. Prof.

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

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

АТОСЕКУНДНОТО ОБУЧЕНИЕ – МЕТАФОРА НА ДНЕШНОТО ОБРАЗОВАНИЕ

Проф. д.н. Юлия Дончева, Денис Асенов, проф. д-р Ангел Смрикаров проф. д-р Цветомир Василев

APPLICATION AND ASSESSMENT OF DIGITAL RESOURCES IN THE EDUCATION OF FUTURE PEDAGOGUES

Dr. Galina Ivanova, Assoc. Prof., Dr. Milena Velikova, Assist. Prof.

IDENTIFYING PLAYER TYPES IN THE CLASSROOM FOR EFFECTIVE GAMIFICATION

Dr. Desislava Atanasova, Assoc. Prof., Viliana Molnar

DEVELOPMENT AND INTEGRATION OF AUDIO AND VISUAL MICRO-RESOURCES IN THE LEARNING PROCESS THROUGH THE USE OF ARTIFICIAL INTELLIGENCE SYSTEMS

Dr. Petya Stefanova, Assist. Prof., Dr. Assist. Elitsa Ibryamova, Assist. Prof., Prof. Angel Smrikarov, Dr. Galina Ivanova, Assoc. Prof.

АНАЛИЗ НА ПРОГРАМНИТЕ МОДЕЛИ ЗА АВТОМАТИЗИРАНЕ НА КОГНИТИВНИ ПРОЦЕСИ

Доц. д-р Валентин Атанасов Доц. д-р Анелия Иванова

Книжка 5
MANAGING A POSITIVE AND LIFE-SKILLS DEVELOPMENT IN THE SCHOOL-BASED CURRICULA: A LITERATURE REVIEW ON THE SUSTAINABLE EDUCATION

Dr. Lindita Durmishi, Assoc. Prof., Dr. Ardian Durmishi Prof. Milena Filipova Dr. Silva Ibrahimi

APPLICATION OF THE COMPETENCY MODEL IN BUSINESS ADMINISTARATION HIGHER EDUCATION IN HORIZON 2030

Prof. Nadya Mironova, Dr. Tatyana Kicheva, Assoc. Prof., Dr. Miglena Angelova, Assoc. Prof.

Книжка 4s
THE EDUCATION AND RESEARCH IN THE QUADRUPLE HELIX AND THE REGIONAL INNOVATION PROSPECTS

Prof. Dr. Milen Baltov Dr. Stela Baltova, Assoc. Prof. Dr. Vilyana Ruseva, Assoc. Prof.

Книжка 4
ATTITUDES OF STUDENTS – FUTURE TEACHERS, FOR THE APPLICATION OF GENERATIVE ARTIFICIAL INTELLIGENCE

Assoc. Prof. Nikolay Tsankov, DSc. Dr. Ivo Damyanov, Assist. Prof.

EDUCATIONAL NEEDS OF THE JUDICIAL ADMINISTRATION IN THE CONTEXT OF DIGITALIZATION

Dr. Diana Dimitrova, Dr. Darina Dimitrova, Assoc. Prof., Dr. Velina Koleva

MANAGERIAL ASPECTS OF COOPERATION AMONG HIGHER EDUCATION INSTITUTIONS AND THEIR STAKEHOLDERS

Prof. Olha Prokopenko, DSc. Dr. Svitlana Perova, Assoc. Prof. Prof. Tokhir Rakhimov, DSc.

APPLICATION OF EDUCATIONAL STRATEGIES IN STUDYING THE DYNAMICS OF STATE POWER STRUCTURES: IMPLEMENTATION OF FORMAL AND INFORMAL MECHANISMS OF INFLUENCE

Prof. Stoyan Denchev, DSc. Dr. Miriyana Pavlova, Assist. Prof. Dr. Steliana Yordanova, Assist. Prof.

ДИАГНОСТИКА НА ФОРМИРАНАТА ПРОФЕСИОНАЛНА КОМПЕТЕНТНОСТ НА БЪДЕЩИ ИНЖЕНЕРИ ПО ЕНЕРГЕТИКА

Гл. ас. д-р Надя Илиева Доц. д-р Елена Бояджиева Ивалина Маринова

Книжка 3s
A MODEL FOR CALCULATING THE INDIRECT ADDED VALUE OF AI FOR BUSINESS

Dr. Petya Biolcheva, Assoc. Prof., Prof. Nikolay Sterev, DSc.

AI EFFECTIVENESS AND RISK ASSESSMENT OF INVESTMENTS IN HIGH-RISK START-UPS

Sotir Ivanov, PhD Student, Dr. Petya Biolcheva, Assoc. Prof.

COMPETITIVENESS OF TEXTILE PRODUCERS IN DIGITAL BUSINESS ERA

Prof. Nikolay Sterev, DSc., Dr. Vyara Milusheva, Assoc. Prof.

CHALLANGES OF USING ARTIFICIAL INTELLIGENCE IN MANAGEMENT DECISION MAKING

Dr. Bozhana Stoycheva, Assist. Prof. Dr. Pavel Vitliemov, Assoc. Prof.

THE SIGNIFICANCE OF ERASMUS+ MOBILITY IN BUSINESS EDUCATION: AN EXAMINATION OF A SUCCESSFUL BULGARIAN-MEXICAN COLLABORATION

Dr. Lyudmila Mihaylova, Assoc. Prof. Dr. Emil Papazov, Assoc. Prof. Dr. Diana E. Woolfolk Ruiz

Книжка 3
ИГРОВИ ПОДХОДИ В ОБУЧЕНИЕТО: УНИВЕРСИТЕТСКИ КОНТЕКСТ

Проф. д.н. Цветан Давидков Силвия Тонева, докторант

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

Dr. Ivan Beloev, Assoc. Prof. Dr. Oksana Bulgakova, Assoc. Prof., Dr. Oksana Zakhutska, Assoc. Prof., Dr. Maria Bondar, Assoc. Prof. Dr. Lesia Zbaravska, Assoc. Prof.

ИМИДЖ НА УНИВЕРСИТЕТА

Проф. д.п.н. Галя Христозова

Книжка 1s
COMPETITIVENESS AS A RESULT OF CREATIVITY AND INNOVATION

Dr. Nikolay Krushkov, Assoc. Prof. Dr. Ralitza Zayakova-Krushkova

INNOVATION, TECHNICAL PROGRESS AND ECONOMIC DEVELOPMENT

Dr. Aleksandar Aleksandrov, Assist. Prof.

ENHANCING ECONOMIC SECURITY THROUGH INTELLECTUAL PROPERTY

Dr. Dimiter Gantchev, Assist. Prof.

INTELLECTUAL PROPERTY AND SECURITY IN THE INTEGRATED CIRCUITS INDUSTRY

Dr. Ivan Nachev, Dr. Yuliana Tomova, Iskren Konstantinov, PhD student, Marina Spasova, student

GREEN TRADEMARKS AND SUSTAINABILITY

Dr. Silviya Todorova, Assist. Prof.

ARTIFICIAL INTELLIGENCE AND ITS PROTECTION AS AN INVENTION

Dr. Vladislava Pаcheva, Assist. Prof.

Книжка 1
PROBLEMS AND PERSPECTIVES FOR SOCIAL ENTREPRENEURSHIP IN HIGHER EDUCATION

Prof. Dr. Milena Filipova Prof. Dr. Olha Prokopenko Prof. Dr. Igor Matyushenko, Dr. Olena Khanova, Assoc. Prof. Dr. Olga Shirobokova, Assoc. Prof. Dr. Ardian Durmishi

RESEARCH OF USING THE SYSTEM APPROACH TO INCREASE PROFESSIONAL COMPETENCE OF STUDENTS IN THE PROCESS OF STUDYING NATURAL SCIENCES

Dr. Ivan Beloev, Assoc. Prof. Dr. Іnna Savytska, Assoc. Prof., Dr. Oksana Bulgakova, Assoc. Prof. Prof. Iryna Yasinetska, Dr. Lesia Zbaravska, Assoc. Prof.

2023 година
Книжка 6s
TRANSFORMING MARITIME EDUCATION FOR A DIGITAL INDUSTRY

Dr. Christiana Atanasova, Assist. Prof.

DEVELOPMENT OF A COMMON INFORMATION SYSTEM TO CREATE A DIGITAL CAREER CENTER TOGETHER WITH PARTNER HIGHER SCHOOLS

Prof. Dr. Yordanka Angelova, Dr. Rossen Radonov, Assoc. Prof. Vasil Kuzmov, Assist. Prof. 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 Dr. Gabriela Peneva, Assist. Prof., Prof. Jordanka Angelova, Mahmoud Shanaa

VOYAGE OF LEARNING: CRUISE SHIPS WEATHER ROUTING AND MARITIME EDUCATION

Prof. Svetlana Dimitrakieva, Dr. Dobrin Milev, Assist. Prof., Dr. Christiana Atanasova, Assist. Prof.

RESEARCH ON THE SUSTAINABLE DEVELOPMENT COMPETENCES OF THE LANDSCAPE ARCHITECT IN PRACTICE

Land. arch. Elena Dragozova, Assoc. Prof., Dr. Stanislava Kovacheva, Assoc. Prof.

STUDY OF THE KEY FACTORS INFLUENCING THE EFFECTIVE PLANNING AND UTILIZATION OF PRODUCTION FACILITIES IN THE INDUSTRIAL ENTERPRISE

Dr. Tanya Panayotova, Assoc. Prof., Dr. Krasimira Dimitrova, Assoc. Prof., Neli Veleva, PhD student

SIMULATOR TRAINING – UNIQUE POWERFUL INSTRUMENT FOR EDUCATING, SKILLS CREATING, MITIGATING SKILLS AND RESILIENCE CREATING

Prof. Dimitar Dimitrakiev, Vencislav Stankov, Assist. Prof., Dr. Christiana Atanasova, Assist. Prof.

СТРУКТУРНИ ПРОМЕНИ В ОБУЧЕНИЕТО НА МЕНИДЖЪРИ ЗА ИНДУСТРИЯ 5.0

Доц. д-р Недко Минчев, доц. д-р Венета Христова, гл. ас. д-р Иван Стоянов

RESEARCH OF THE INNOVATION CAPACITY OF AGRICULTURAL PRODUCERS

Dr. Siya Veleva, Assoc. Prof.; Prof. Dr. Eng. Margarita Mondeshka Dr. Anka Tsvetanova, Assoc. Prof.,

Книжка 6
Книжка 5s
ПРЕСЕЧНАТА ТОЧКА НА СПОРТА, СИГУРНОСТТА И КРИПТО ФЕН ТОКЕНИТЕ

Полк. доц. Георги Маринов Доц. Милена Кулева

ВИДОВЕ ТРАВМИ В ПАРАШУТИЗМА И ПРЕВЕНЦИЯТА ИМ

Капитан III ранг Георги Калинов

ОБУЧЕНИЕ В ХОДЕНЕ С ПОМОЩНИ СРЕДСТВА – РИСКОВЕ И СИГУРНОСТ ЗА ПАЦИЕНТА

Атанас Друмев Доц. д-р Данелина Вачева, доц. д-р Искра Петкова

Книжка 5
ПОДХОДИ ЗА ПСИХОСОЦИАЛНА ПОДКРЕПА НА УНИВЕРСИТЕТСКИ ПРЕПОДАВАТЕЛИ В УСЛОВИЯ НА КРИЗА

Доц. д.н. Цветелина Търпоманова, доц. д.н. Веселина Славова

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

Acad. DSc. Hristo Beloev, Prof. Dr. Angel Smrikarov, Assoc. Prof. DSc. Valentina Voinohovska, Assoc. Prof. Dr. Galina Ivanova

A STUDY ON THE POSSIBILITIES TO INTEGRATE THE MODERN 3D TECHNOLOGIES IN THE SCIENTIFIC ACTIVITIES OF THE HIGHER EDUCATION INSTITUTIONS

Prof. Dr. Georgi Hristov, Assoc. Prof. Dr. Ivan Beloev, Assoc. Prof. Dr. Plamen Zahariev, Assist. Prof. Dr. Diyana Kinaneva, Assist. Prof. Georgi Georgiev

THE ROLE OF THE UNIVERSITIES AS ACCELERATORS FOR THE INTEGRATION OF THE STEM LEARNING METHODS IN THE PRIMARY AND SECONDARY SCHOOLS

Prof. Dr. Georgi Hristov, Assoc. Prof. Dr. Ivan Beloev, Assoc. Prof. Dr. Plamen Zahariev, Assist. Prof. Georgi Georgiev

ОТ STEM КЪМ BEST: ДВА СТАНДАРТА, ЕДНА ЦЕЛ

Проф. д-р Андрей Захариев, проф. д-р Стефан Симеонов, гл. ас. д-р Таня Тодорова

ВЪЗМОЖНОСТИ ЗА ПРИЛОЖЕНИЕ НА БЛОКЧЕЙН ТЕХНОЛОГИЯТА В ОБРАЗОВАНИЕТО

Докторант Андриан Минчев, доц. д-р Ваня Стойкова

ПРЕДИЗВИКАТЕЛСТВА НА ДИГИТАЛНАТА ТРАНСФОРМАЦИЯ В ОБРАЗОВАНИЕТО – СРАВНИТЕЛЕН АНАЛИЗ НА СТУДЕНТСКОТО МНЕНИЕ

Гл. ас. д-р Мирослава Бонева, доц. д-р Антон Недялков, проф. д.н. Милена Кирова

CHALLENGES, REQUIREMENTS, OPPORTUNITIES AND SOLUTIONS FOR THE DIGITAL TRANSFORMATION OF THE TRANSPORT EDUCATION

Prof. Dr. Georgi Hristov, Assoc. Prof. Dr. Ivan Beloev, Assoc. Prof. Dr. Plamen Zahariev

Книжка 4
EFFECT OF RESILIENCE ON BURNOUT IN ONLINE LEARNING ENVIRONMENT

Dr. Radina Stoyanova, Prof. Sonya Karabeliova, Petya Pandurova, Dr. Nadezhda Zheckova Dr. Kaloyan Mitev

STATE AND PROSPECTS OF DEVELOPMENT OF ACADEMIC MOBILITY IN THE SYSTEM OF TRAINING A SPECIAL EDUCATION SPECIALIST

Dr. Tetiana Dokuchyna, Assoc. Prof., Prof. Dr. Svitlana Myronova, Dr. Tetiana Franchuk, Assoc. Prof.

Книжка 3s
STRATEGIES AND POLICIES TO SUPPORT THE DEVELOPMENT OF AI TECHNOLOGIES IN EUROPE

Assoc. Prof. Miglena Molhova, Assoc. Prof. Petya Biolcheva

BULGARIA'S TECHNOLOGICAL DEVELOPMENT THROUGH THE PRISM OF HIGHER EDUCATION POLICIES

Assoc. Prof. Ivaylo B. Ivanov, Assoc. Prof. Miglena Molhova

INTELLIGENT ANIMAL HUSBANDRY: FARMER ATTITUDES AND A ROADMAP FOR IMPLEMENTATION

Prof. Dr. Dimitrios Petropoulos, Koutroubis Fotios Assoc. Prof. Petya Biolcheva Evgeni Valchev

EFFECTIVE MANAGEMENT OF HUMAN RESOURCES IN TOURISM THROUGH MOTIVATION

Assoc. Prof. Fahri Idriz Assoc. Prof. Marin Geshkov

Книжка 3
САМООЦЕНКА НА ОБЩООБРАЗОВАТЕЛНИТЕ И РЕСУРСНИТЕ УЧИТЕЛИ ЗА РАБОТА В ПАРАДИГМАТА НА ПРИОБЩАВАЩОТО ОБРАЗОВАНИЕ

Проф. д.н. Милен Замфиров, проф. Емилия Евгениева, проф. Маргарита Бакрачева

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

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

SAFETY THROUGH ARTIFICIAL INTELLIGENCE IN THE MARITIME INDUSTRY

Assoc. Prof. Petya Biolcheva Evgeni Valchev, PhD student

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

Гл. ас. д-р Цветелина Берберова-Вълчева, доц. д-р Камен Петров, доц. д-р Николай Цонков

CHARACTERISTICS AND COMPONENTS OF THE CYBER HYGIENE AS A SUBCLASS OF CYBER SECURITY IN MILITARY ENVIRONMENT AND EDUCATIONAL ISSUES

Prof. Boyan Mednikarov, DSc. Prof. Yuliyan Tsonev Dr. Borislav Nikolov, Prof. Andon Lazarov, DSc.

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

Dr. Ivan Beloev, Assoc. Prof., Dr. Valentina Vasileva, Assoc. Prof. Prof. Vasyl Shynkaruk, DSc., Assoc. Prof. Oksana Bulgakova, Assoc. Prof. Maria Bondar Assoc. Prof. Lesia Zbaravska, Assoc. Prof. Sergii Slobodian

THE NEW PANDEMIC NORMAL THROUGH THE EYES OF BULGARIAN STUDENTS

Prof. Vyara Stoilova, Assoc. Prof. Todorka Kineva

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

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

ДИГИТАЛИЗАЦИЯ НА ОБРАЗОВАНИЕТО В БЪЛГАРИЯ: СЪСТОЯНИЕ И ОБЩИ ТЕНДЕНЦИИ

Д-р Теодора Върбанова, проф. д-р Албена Вуцова, доц. д-р Николай Нетов

СКРИНИНГ НА ЗРЕНИЕТО – ПРОФИЛАКТИКА И ЕЛЕМЕНТ ОТ ПРАКТИКАТА НА СТУДЕНТИ И ОБУЧЕНИЕТО НА УЧЕНИЦИ

Руска Драганова-Христова, д-р Славена Стойкова, доц. д-р Снежана Йорданова

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

Проф. д.п.н. Сийка Чавдарова-Костова, гл. ас. д-р Даниела Рачева, ас. Екатерина Томова, доц. д-р Росица Симеонова

SUSTAINABLE PROFESSIONAL DEVELOPMENT THROUGH COACHING: BENEFITS FOR TEACHERS AND LEARNERS

Assoc. Prof. Irina Ivanova, Assoc. Prof. Penka Kozhuharova, Prof. Rumyana Todorova

SELF-ASSESSMENT – A COMPONENT OF THE COMPETENCE-BASED TRAINING IN THE PROFESSION “APPLIED PROGRAMMER”

Assoc. Prof. Ivaylo Staribratov, Muharem Mollov, Rosen Valchev Petar Petrov

Книжка 4
BENCHMARKING FOR DEVELOPMENT OF SPEED AND POWER CHARACTERISTICS

Assist. Prof. Dr. Darinka Ignatova Assoc. Prof. Dr. Alexander Iliev

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

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

Книжка 3
ПУБЛИЧНОТО РАЗБИРАНЕ НА НАУКАТА В МРЕЖОВИЯ СВЯТ

Д-р Светломир Здравков, д-р Мартин Й. Иванов, д-р Петя Климентова

ОБРАЗОВАНИЕ ЗА УСТОЙЧИВО РАЗВИТИЕ – ПРАКТИКО-ПРИЛОЖНИ АСПЕКТИ

Гл. ас. д-р Златка Ваклева Проф. д-р Тоня Георгиева

Книжка 2
PREPARATION OF PRIMARY SCHOOL TEACHERS FOR COMMUNICATIVE AND RHETORICAL ACTIVITY IN SCHOOL IN THE CONTEXT OF THEIR PRACTICAL TRAINING

Prof. Halyna Bilavych Prof. Nataliia Bakhmat Prof. Tetyana Pantyuk, Prof. Mykola Pantyuk Prof. Borys Savchuk

ПРОЛЕТНА КОНФЕРЕНЦИЯ НА СЪЮЗА НА МАТЕМАТИЦИТЕ В БЪЛГАРИЯ

(Трявна, 5 – 9 април 2022) Гл. ас. д-р Албена Симова

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

Д-р Миглена Търновска, д-р Румяна Стоянова Доц. Боряна Парашкевова, проф. Юлияна Маринова

2021 година
Книжка 6
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ЕДНА РЕКАПИТУЛАЦИЯ НА ИЗСЛЕДВАНИЯ ВЪРХУ ИНТЕРКУЛТУРНИТЕ ОТНОШЕНИЯ. КАКВО СЛЕДВА ОТ ТОВА ЗА ОБРАЗОВАНИЕТО?

Давидков, Ц., 2019. Изследвания върху културите. Културни ориентири на управлението. София: СУ „Св. Климент Охридски“, ISBN 978-954-9399-52-3 Проф. Пламен Макариев

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RECOGNITION OF FAKE NEWS IN SPORTS

Colonel Assoc. Prof. Petko Dimov

SIGNAL FOR HELP

Ina Vladova, Milena Kuleva

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PREMISES FOR A MULTICULTURAL APPROACH TO EDUCATION

Dr. Anzhelina Koriakina, Assoc. Prof., Prof. Lyudmila Amanbaeva, DSc.

ПОЗИТИВНА ПСИХОЛОГИЯ: ПРОБЛЕМНИ ОБЛАСТИ И ФОРМИРАНЕ НА ЛИЧНОСТТА

Доц. д-р Стоил Мавродиев, Любомира Димитрова

КНИГА ЗА ИСТОРИЯТА НА БЪЛГАРСКОТО ВИСШЕ ИНЖЕНЕРНО ОБРАЗОВАНИЕ

Сгурев, В., Гергов, С., Иванов, Г., 2019. Положителните науки с приложение към индустрията. История на висшето техническо образование в България. София: Изд. на БАН „Проф. Марин Дринов“, Изд. „Захарий Стоянов“. ISBN 978-619-245-004-5, ISBN 978-954-09-1387-2.

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ENTREPRENEURSHIP AND INTERDISCIPLINARY EDUCATION – SEMIOTIC ASPECTS

Prof. Dr. Christo Kaftandjiev Dr. Diana Kotova

THE PRACTICAL IMPORTANCE OF ACCOUNTING EDUCATION FOR FUTURE MANAGERS

Nataliia Radionova, DSc. Dr. Radostina Stoyanova, Assist. Prof.

ЗА ОБРАЗОВАТЕЛНАТА ИНТЕГРАЦИЯ И ЗАЛОЗИТЕ НА НАСТОЯЩЕТО

Нунев, Й., 2020. Мониторинг на процесите на приобщаване и образователна интеграция и модели за десегрегация на ромското образование. Пловдив: Астарта, ISBN 978-954-350-283-7

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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

ОБРАЗОВАНИЕ В УСТОЙЧИВО РАЗВИТИЕ И ВЗАИМОДЕЙСТВИЕ „ДЕТЕ – СРЕДА“

Стоянова, М. (2020). Образование в устойчиво развитие и взаимодействие „дете – среда“ София: Авангард принт. ISBN 978-954-337-408-3

2020 година
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HIGHER EDUCATION AS A PUBLIC GOOD

Yulia Nedelcheva, Miroslav Nedelchev

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НАСЪРЧАВАНЕ НА СЪТРУДНИЧЕСТВОТО МЕЖДУ ВИСШИТЕ УЧИЛИЩА И БИЗНЕСА

Добринка Стоянова, Блага Маджурова, Гергана Димитрова, Стефан Райчев

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THE STRATEGY OF HUMAN RIGHTS STUDY IN EDUCATION

Anush Balian Nataliya Seysebayeva Natalia Efremova Liliia Danylchenko

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ПОМОЩНИ СРЕДСТВА И ТЕХНОЛОГИИ В ПРИОБЩАВАЩОТО ОБРАЗОВАНИЕ

Янкова, Ж. (2020). Помощни средства и технологии за деца и ученици със специални образователни потребности в приобщаващото образование.

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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

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ETHNIC UPBRINGING AS A PART OF THE ETHNIC CULTURE

Sholpankulova Gulnar Kenesbekovna

ЗА СВЕТЛИНАТА, КОЯТО ИЗЛЪЧВА… В ПАМЕТ НА ПРОФ. Д.П.Н. АСЕМГУЛ МАЛДАЖАНОВА

Нашата редколегия загуби един все- отдаен и неповторим колега и приятел – проф. д.п.н. Асемгул Малдажанова. Пе- дагог по призвание и филолог по мисия! Отиде си от нас нашият приятел, коле- га и член на редколегията на списанието – професор д.п.н. Асемгул Малдажанова – първи заместник-ректор на Евразийския

2019 година
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EMOTIONAL COMPETENCE OF THE SOCIAL TEACHER

Kadisha K. Shalgynbayeva Ulbosin Zh.Tuyakova

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„ОБРАЗОВАТЕЛНИ КИНОХОРИЗОНТИ“ В ПОЛЕТО НА МЕДИА ОБРАЗОВАНИЕТО

(2018). Образователни кинохоризонти. Международен сборник с научни публи- кации по проект „Естетически и образователни проекции на кинодидактиката“. Бургас: Проф. д-р Асен Златаров. Съставител: Маргарита Терзиева. ISBN 978-954-471-496-3

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ВИСШЕТО МОРСКО ОБРАЗОВАНИЕ В КОНКУРЕНТНА СРЕДА

Бакалов, Я. (2019). Висше морско образование. Лидиране в конкурентна среда. Варна: Стено. ISBN 978-619-241-029-2

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УЧИЛИЩЕТО НА БЪДЕЩЕТО

Наталия Витанова

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КНИГА ЗА УСПЕШНИТЕ НАУЧНИ ПУБЛИКАЦИИ

Кожухаров, А. (2018). Успешните научни публикации. Варна: Тера Балканика. ISBN 978-619-90844-1-0

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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

ИНТЕРКУЛТУРНИЯТ ТРЕНИНГ КАТО ЧАСТ ОТ СТРАТЕГИЯТА ЗА ГЛОБАЛИЗАЦИОННА ИНТЕГРАЦИЯ

Хубенова, М. (2018). Значение на междукултурната комуникация за направления: политически науки, право, икономика и бизнес. София: Издателски комплекс УНСС. ISBN 978-619-232-072-0

ЕДИН НОВ УЧЕБНИК

Дончева, Ю. (2018). Теоретични и методически основи на запознаване с околния свят в детската градина. Русе: Лени Ан

2018 година
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СТРАТЕГИИ НА ОБРАЗОВАТЕЛНАТА И НАУЧНАТА ПОЛИТИКА НАУЧНО СПИСАНИЕ STRATEGIES FOR POLICY IN SCIENCE AND EDUCATION EDUCATIONAL JOURNAL ГОДИНА XXVI / VOLUME 26, 2018 ANNUAL CONTENTS / ГОДИШНО СЪДЪРЖАНИЕ СТРАНИЦИ / PAGES КНИЖКА 1 / NUMBER 1: 1 – 120 КНИЖКА 2 / NUMBER 2: 121 – 224 КНИЖКА 3 / NUMBER 3: 225 – 336 КНИЖКА 4 / NUMBER 4: 337 – 448 КНИЖКА 5 / NUMBER 5: 449 – 560 КНИЖКА 6 / NUMBER 6: 561 – 664

ДИСКУСИОННО / DISCUSSION 211 – 216: Процедурата за назначаване на ръководител на катедра като причина за вло- шаващото се качество на обучението и микроклимата във висшите учи лища у нас [The Procedure for Appointing a Head of Department as a Reason for the Deteriorating Quality of Education and the Microclimate in the Higher School] / Александър Димит- ров / Alexander Dimitrov

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A NEW AWARD FOR PROFESSOR MAIRA KABAKOVA

The staff of the Editorial board of the journal “Strategies for Policy in Science and Education” warmly and sincerely congratulates their Kazakhstan colleague -

ПРОДЪЛЖАВАЩАТА КВАЛИФИКАЦИЯ НА УЧИТЕЛИТЕ – НОРМАТИВЕН И ИЗСЛЕДОВАТЕЛСКИ ОБЗОР

(научно-теоретично обобщение върху проведени обучения на учители)

ЕТНОЦЕНТРИЗМЪТ И ИНЕРЦИИТЕ ОТ МИНАЛОТО – СЕРИОЗНИ ПРОБЛЕМИ В БЪЛГАРСКАТА ОБРАЗОВАТЕЛНА СИСТЕМА

(Eтнопедагогически аспекти на основното и средното образование) Веселин Тепавичаров

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ХРИСТО БОТЕВ И ПОЗНАВАТЕЛНИЯТ КРЪГОЗОР НА СЪВРЕМЕННИТЕ СТУДЕНТИ ЗА ЕВРОПА

Изследователски разказ за един познавателен подвиг и за една познавателна недостатъчност

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BLENDED EDUCATION IN HIGHER SCHOOLS: NEW NETWORKS AND MEDIATORS

Nikolay Tsankov Veska Gyuviyska Milena Levunlieva

ВЗАИМОВРЪЗКАТА МЕЖДУ СПОРТА И ПРАВОТО

Ивайло Прокопов, Елица Стоянова

НАДНАЦИОНАЛНИ И МЕЖДУПРАВИТЕЛСТВЕНИ МЕТОДИ НА ИНТЕГРАЦИЯ В ОБЛАСТТА НА ПРАВОСЪДИЕТО И СИГУРНОСТТА

(Формиране на обща миграционна политика: парадигми и образователни аспекти) Лора Махлелиева-Кларксън

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ВЪЗПРИЯТИЯ И НАГЛАСИ НА УЧЕНИЦИТЕ ПО ВАЖНИ ОБЩЕСТВЕНИ ВЪПРОСИ

(Данни от Международното изследване на гражданското образование – ICCS 2016)

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

Илиана Мирчева, Елена Джамбазова, Снежана Радева, Деян Велковски

ВЪЗПРИЯТИЯ И НАГЛАСИ НА УЧЕНИЦИТЕ ПО ВАЖНИ ОБЩЕСТВЕНИ ВЪПРОСИ

(Данни от Международното изследване на гражданското образование – ICCS 2016)

СТРАТЕГИИ НА ОБРАЗОВАТЕЛНАТА И НАУЧНАТА ПОЛИТИКА НАУЧНО СПИСАНИЕ STRATEGIES FOR POLICY IN SCIENCE AND EDUCATION EDUCATIONAL JOURNAL ГОДИНА XXV / VOLUME 25, 2017 ANNUAL CONTENTS / ГОДИШНО СЪДЪРЖАНИЕ

СТРАНИЦИ / PAGES КНИЖКА 1 / NUMBER 1: 1 – 112 КНИЖКА 2 / NUMBER 2: 113 – 224 КНИЖКА 3 / NUMBER 3: 225 – 336 КНИЖКА 4 / NUMBER 4: 337 – 448 КНИЖКА 5 / NUMBER 5: 449 – 552 КНИЖКА 6 / NUMBER 6: 553 – 672

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ОРГАНИЗАЦИОННА КУЛТУРА В УЧИЛИЩЕ

Ивайло Старибратов, Лилия Бабакова

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КОУЧИНГ. ОБРАЗОВАТЕЛЕН КОУЧИНГ

Наталия Витанова, Нели Митева

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ТЕХНОХУМАНИЗМЪТ И ДЕЙТЪИЗМЪТ – НОВИТЕ РЕЛИГИИ НА БЪДЕЩЕТО

Harari, Y. N. (2016). Homo Deus. A Brief History of Tomorrow. Harvill Secker. ISBN-10: 1910701874

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РЕФОРМИТЕ В ОБРАЗОВАНИЕТО – ПЕРСПЕКТИВИ И ПРЕДИЗВИКАТЕЛСТВА

Интервю с Габриела Миткова, началник на Регионалното управление на образованието – Силистра

ЕМПАТИЯ И РЕФЛЕКСИЯ

Нели Кънева, Кристиана Булдеева

2016 година
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СТРАТЕГИИ НА ОБРАЗОВАТЕЛНАТА И НАУЧНАТА ПОЛИТИКА НАУЧНО СПИСАНИЕ STRATEGIES FOR POLICY IN SCIENCE AND EDUCATION EDUCATIONAL JOURNAL ГОДИНА XXIV / VOLUME 24, 2016 ANNUAL CONTENT / ГОДИШНО СЪДЪРЖАНИЕ

СТРАНИЦИ / PAGES КНИЖКА 1 / NUMBER 1: 1 – 120 КНИЖКА 2 / NUMBER 2: 121 – 232 КНИЖКА 3 / NUMBER 3: 233 – 344 КНИЖКА 4 / NUMBER 4: 345 – 456 КНИЖКА 5 / NUMBER 5: 457 – 568 КНИЖКА 6 / NUMBER 6: 569 – 672

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2014 година
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КОХЕРЕНТНОСТ НА ПОЛИТИКИ

Албена Вуцова, Лиляна Павлова

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ОБРАЗОВАНИЕТО ПО ПРАВАТА НА ЧОВЕКА ПРЕЗ ПОГЛЕДА НА ДОЦ. ЦЕЦКА КОЛАРОВА

Цецка Коларова. (2013). Образование по правата на човека. София: Авангард Прима. ISBN 978-619-160-234-6

USING THE RESULTS OF A NATIONAL ASSESSMENT OF EDUCATIONAL ACHIEVEMENT

Thomas Kellaghan Vincent Greaney T. Scott Murray Chapter 4 Translating Assessment Findings Into Policy And Action Although the primary purpose of a system of national assessment is to describe students’ learning, its role is not limited to description. To justify the effort and expenditure involved, the information that an assessment provides about the achievements of students, their strengths and weaknesses, and how they are distributed in the population (for example, by gender or location

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PROFESSIONAL DEVELOPMENT OF UNIVERSITY FACULTY: А SOCIOLOGICAL ANALYSIS

Gulnar Toltaevna Balakayeva Alken Shugaybekovich Tokmagambetov Sapar Imangalievich Ospanov

ЗА ПО-ХУМАНИСТИЧНА ТРАДИЦИОННО- ИНОВАЦИОННА ОБРАЗОВАТЕЛНО-ВЪЗПИТАТЕЛНА СТРАТЕГИЯ У НАС

(КОНЦЕПТУАЛНА РАЗРАБОТКА В ПОМОЩ НА ПОДГОТОВКАТА НА НОВ ЗАКОН ЗА ОБРАЗОВАНИЕТО)

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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 Chapter 1 Factors affecting the use and nonuse of national assessment fi ndings The main objectives of a national assessment, as set out in volume 1 of this series, Assessing National Achievement Levels in Education, are to determine (a) how well students are learning in the education system (with reference to general expectations, aims of the curriculum, and preparation for further learning and for life); (b) whether there is evidence of par

2013 година
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QUESTIONNAIRE DEVELOPMENT

ÎÖÅÍßÂÀÍÅÒÎ

РОССИЙСКАЯ СИСТЕМА ОЦЕНКИ КАЧЕСТВА ОБРАЗОВАНИЯ: ГЛАВНЫЕ УРОКИ

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

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MASS MEDIA CULTURE IN KAZAKHSTAN

Aktolkyn Kulsariyeva Yerkin Massanov Indira Alibayeva

РОССИЙСКАЯ СИСТЕМА ОЦЕНКИ КАЧЕСТВА ОБРАЗОВАНИЯ: ГЛАВНЫЕ УРОКИ

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

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ОЦЕНЯВАНЕ НА ГРАЖДАНСКИТЕ КОМПЕТЕНТНОСТИ НА УЧЕНИЦИТЕ: ПРЕДИЗВИКАТЕЛСТВА И ВЪЗМОЖНОСТИ

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

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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

METHODS FOR SETTING CUT SCORES IN CRITERION – REFERENCED ACHIEVEMENT TESTS

ÎÖÅÍßÂÀÍÅÒÎ COMPARATIVE ANALYSIS OF THE QUALITY OF THE SEPARATE METHODS

ПУБЛИКАЦИИ ПРЕЗ 2012 Г.

СПИСАНИЕ „БЪЛГАРСКИ ЕЗИК И ЛИТЕРАТУРА“

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

Aigerim Mynbayeva Maira Kabakova Aliya Massalimova

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СИСТЕМАТА ЗА РАЗВИТИЕ НА АКАДЕМИЧНИЯ СЪСТАВ НА РУСЕНСКИЯ УНИВЕРСИТЕТ „АНГЕЛ КЪНЧЕВ“

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

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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

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РЕЙТИНГИ, ИНДЕКСИ, ПАРИ

Боян Захариев