Стратегии на образователната и научната политика

2025/3, стр. 281 - 296

ALGORITHM FOR OPTIMIZING THE PROCESS OF SELECTING A TOPIC FOR A SCIENTIFIC PUBLICATION WITH THE ASSISTANCE OF CHATGPT

Резюме:

Ключови думи:

https://doi.org/10.53656/str2025-3-1-alg Education in the Information Society Образованието в информационното общество

1. Introduction

In scientific practice, the selection of a research topic is among the most important and often challenging stages in the process of developing scientific publications. Despite the availability of an extensive scientific literature and plenty of studies in various fields, researchers often face difficulties in identifying innovative, relevant and practically significant topics (Jalongo 2023). These difficulties stem from several main factors:

– Limited time for in-depth analysis of existing literature;

– The uneven distribution of knowledge and trends in different scientific fields;

– Subjectivity and lack of structured methodology for topic selection.

There are numerous studies that examine the application of artificial intelligence (AI) to support scientific research (Golan et al 2023; Checco et al 2021; Xu et al 2021; Gohil 2024). For example, in the area of text processing and analysis, technologies such as BERT and SciBERT are used to extract key terms and classify scientific publications (Koroteev 2021; Starukhin & Diukarev 2024). GPT-based technologies find applications in information summarization, automatic text generation, and new idea generation. In addition, citation and keyword analysis algorithms support the identification of new research directions. Despite these successes, few studies focus specifically on an automated process for optimizing topic selection that combines analysis of existing literature and generation of new ideas (Misra 2021; Bowman & Kinnan 2018).

Currently, existing solutions to support topic selection rely mainly on:

– A manual literature review that is time-consuming and subjective;

– Use of platforms such as Scopus and Web of Science, which offer analysis of citations and research trends but do not provide automated topic suggestions;

– Large generative AI models that are used for text summarization and idea extraction but are not yet optimized for specific scientific applications.

There is a lack of a comprehensive, expert-driven algorithm to assist researchers in identifying relevant and timely research topics through automation.

Choosing an appropriate topic is crucial to the success of any research paper. A well-chosen topic not only increases the relevance and quality of the research, but also increases the likelihood of publication in prestigious journals.

ChatGPT represents an innovative generative AI model that has the potential to address these challenges (Stokel-Walker 2023; Stokel-Walker & Noorden 2023). As a tool capable of analyzing large amounts of information, summarizing data, and generating new ideas, ChatGPT can be integrated into an algorithm for automated topic selection assistance. This can be realized through ChatGPT’s powerful analytical capacity, its ability to generate innovative and relevant suggestions, and its ability to be combined with expert knowledge.

The goal of this work is to create a ChatGPT-based algorithm to assist in the optimization of topic selection for scientific publication. In this regard, was initially implemented interactively between ChatGPT and an expert author with experience in developing and publishing scientific articles. The main goal of the interaction is to combine the author’s expertise with ChatGPT’s capabilities to support the selection of a relevant and significant topic for a scientific publication from presuggested options. Based on this process, an algorithm has been developed that combines the structured approach of the expert author with the analytical capacity of ChatGPT. Finally, the algorithm is evaluated by considering its advantages, benefits and potential limitations, as well as its potential for practical application in the scientific community.

2. Initiate interaction between ChatGPT and author-expert

The process of interacting with ChatGPT is initiated by an expert author with a proven track record of developing and publishing scientific publications. The primary goal of this dialogue is to integrate expertise with the analytical capabilities of ChatGPT to assist in the selection of a relevant and significant topic for scientific publication based on previously proposed options.

The interaction starts with providing information including the proposed topics as well as the profile of the author team. This information covers the team’s research interests, key achievements and areas of expertise. To provide additional context and better tailor the algorithm to specific requirements, links are provided to:

– List of publications of the author team members in the respective scientific field;

– Current topics and trends in the research field.

This information assists ChatGPT in identifying relevant and innovative proposals that fit the profile of the author team’s and the relevance of the scientific field:

Author:>>Hi,I amplanning toprepare ascientific publicationrelated totheapplicationofartificialintelligencein scientificresearch. Iamconsideringthefollowing potential topics:Creating a model for analyzing scientic publications using ChatGPT.Creating a model for generating ideas for scientic publications using gen-erativeAI.Amodelforautomatedtaskallocationinscienticteamsusingarticialintelligence.Development of a tool to assess innovation in research using AI.An algorithm for writing a scientic publication using ChatGPT.Anexpertalgorithmforoptimizingtheprocessofselectingatopicforascientic publication using ChatGPT.Author:>>TheauthorteamconsistsofonescientistforwhomIprovideinformationonhispublicationsandresearchinterests:– AldenizRashidovhttps://bit.ly/rashidovAuthor:>>Canyouanalyzetheinformationprovidedandrecommendmeone or two of the topics mentioned that:– are most relevant in a scientific context.– best match the expertise and research interests of the author team.havethepotentialforpracticalapplicationbyoeringsolutionstorealprob-lems or improvements to existing processes.– enable collaboration with other researchers working in the field.– They take into account the results of previous studies and build on them.

ChatGPT analyzes the information provided, including the author’s scientific publications, research interests, and expertise, to suggest the most appropriate topics for scientific publication. This approach provides recommendations that combine scientific relevance, practical application and the potential for strategic development of the proposed topics. Next, ChatGPT generates proposals:

ChatGPT: >>Thanks for the information and the link toAldeniz Rashidov’sprofile.Afteranalyzingtheauthorsscientificpublicationsandresearchinterests,aswellasthecriteriayouhaveset,Isuggestthefollowingtwotopicsas most appropriate:1.CreatingamodelforanalyzingscienticpublicationsusingChatGPT:This topic isextremely relevant inthe scientific context,especially in viewofthe growingvolume ofscientific data andthe needfor automated approachestotheirprocessing.Thetopicisfullycompatiblewiththeauthorsexpertiseinintelligentsystemsanddatabases.Ithassignificantpotentialforpracticalapplicationinacademicinstitutionsandresearchlibraries,wherepublicationanalysiscanimprovetheeciencyofscientificwork.Inaddition,thistopicallows collaboration with researchers working in natural language processing(NLP) and information systems.2. Developmentof a toolto assessinnovation in research usingAI:Thistopicisalsohighlyrelevant,oeringawaytosystematicallyassessinnovationinscientificpublications.Itiscompatiblewiththeauthorsexperienceindesigningalgorithmsandsystemsforscientificdatamanagement.Practicalapplicationsofthetopicincludethecreationofatoolthatcanbeusedtoevaluatescientificcontributionsandinnovationinvariousfields.Furthermore,thetopicopensupopportunitiesforcollaborationwithexpertsinthefieldofscientific impact measurement and scientific methodology.ChatGPT:>>Thesetopicshavebeenselectedbasedontheirrelevance,compatibilitywiththeauthorsscientificexpertise,theirpotentialforpractical application, and the possibility of attracting collaboration with otherresearchers.Theyalsobuildonexistingresearchbyintegratinginnovativeautomation and evaluation approaches into the scientific context.

In the next stage of the interaction, the author introduces an additional condition in order to narrow down the choice of proposed topics for the scientific publication. This new requirement focuses on the need for the topic to both be among the most relevant in the scientific context and to address aspects or issues that have been understudied to date. By adding this requirement, the author seeks to focus the dialogue with ChatGPT on topics that are not only consistent with current scientific interests and expertise, but also address unexplored areas with the potential for significant scientific contributions:

Author:>>Thanksfortherecommendations.IhaveoneadditionalconditionIwouldlikeyoutoconsider:Thetopicshouldbothbeamongthemostrelevantinthescienticcontextandad-dressaspectsorissuesthathavebeenunder-researched.Author: >>Please analyze your two proposedtopics with respect to this conditionandrecommendmewhichone bestmeetsit.Author: >>You can useGoogle Scholar orother academicdatabases to assesstherangeofresearchdoneon eachtopic!

ChatGPT analyzed the two proposed topics using academic databases to assess the scope of existing studies. Based on the relevance and extent of research, it recommends the second topic as the most appropriate, as it offers an innovative approach to an underresearched problem and meets all the criteria set:

To make a more accurate and well-founded decision, the author conducts a SWOT analysis of the two proposed topics using ChatGPT. This step is a concrete action where the internal and external factors influencing the potential of each topic are evaluated. By combining expert knowledge with the analytical capabilities of ChatGPT, the author aims to identify the key benefits and challenges associated with each option. This will support the selection of the most appropriate topic for the research publication based on a thorough and structured analysis (Teece 2018; Leigh 2009; Rashidova 2023):

ChatGPT:>>Giventheadditionalcondition,Iwillanalyzethetwoproposedtopics:1.CreatingamodelforanalyzingscienticpublicationsusingChatGPTRelevance:The use of artificial intelligence, and in particular of models such asChatGPTfortextanalysis,isahighlytopicalissue.Thisincludesapplicationssuchasarticlesummarization,documentclassificationandinformationextraction.Extentofresearch:ThespecificuseofChatGPTfortheanalysisofscientificpublicationsisarelativelynewandunder-researchedarea.MostexistingresearchhasfocusedonmoregeneralNLPtasksratherthanitsapplicationtothescientificliterature.2.Developmentofatool toassessinnovationinresearchusing AIRelevance:theevaluation ofinnovationusing artificialintelligence isan importanttopic,especiallyinrelationto themeasurementofscientificprogressandimpact.Extent ofresearch:thereare studiesand toolsthat useAIto evaluateinnovation byanalyzing citations,patents, andscientific trends.While thereis roomfor additionalresearch,thetopicisbetter researchedcomparedtotheformer.ChatGPT: >>After reviewingthe two suggested topics and using Google Scholarand other academic databases,I can provide thefollowing recommendation: Basedonthelastcondition,Irecommendfocusingon“CreatingamodelforanalyzingscienticpublicationsusingChatGPT”.ThistopicisbothtopicalandaddressesanunderexploredaspecttheapplicationofChatGPTintheanalysisofscientifictexts.Thisprovidesyouwithanopportunitytocontributeoriginalresearchinanewandpromisingarea.
ChatGPT:>>SWOTanalysisofthetopic“Creatingamodelforanalyzingscientic publications using ChatGPT”Strengths:Relevanceandinnovation. AnovelapplicationofChatGPTintheanalysisof scientific texts.– Responds to the authors skills in intelligent systems and NLP.– Facilitates researchers in handling large volumes of literature.– The model can be applied in dierent scientific fields.Weaknesses:– Complexity in handling specialized terminology.– Need for qualitative data for an eective model.– Possibility of generating inaccuracies without proper controls.Needtocontinuouslyupdatethemodelwithnewdatatomaintainperformance.Opportunities:– Opportunity for partnerships with publishers and libraries.Addingfeaturessuchasgeneratingscientifictrendsoridentifyingdeficiencies.Adding additional analytics and tools.Applications in education and other fields.Threats:– Other researchers can work on similar projects.– Ethical issues related to copyright and use of published material.– Risk of rapid technology obsolescence.ChatGPT:>>SWOTanalysisofthetopic“Developmentofatooltoassessinnovation in research usingAI”:Strengths:– Significance in assessing scientific contribution and innovation.– Useful for funders and research institutions.Providesobjectivecriteriaforevaluatinginnovationinresearchpublications.
– Creates a unified approach to innovation assessment.Weaknesses:– Subjectivity and assessment complexity.– It is dicult to develop universal criteria for innovativeness.– May require additional expertise.Researchersandauthorscantrytooptimizetheirdesignsagainstthealgorithm rather than the actual innovation.Opportunities:– Inuencing science policy.– Potential for commercialization.Applications outside academia, e.g. in industry.– Can improvethe transparencyand eciency ofthe scientific fundingprocess.Threats:– Not accepting automated assessments.– Ethical and legal challenges related to the use of data and algorithms.– Possible barriers from policies and standards.AImaynotbeabletocapturethenuancesofhumancreativityandinnovation.

ChatGPT concludes on the SWOT analysis conducted and further explores the selected topic in depth:

ChatGPT:>>Thefirsttopic“Creatingamodelforanalyzingscienticpublications usingChatGPT”ismore suitableasit ismoreinnovative, morecloselyrelatedtotheexpertiseoftheauthorandoerssignificantopportunitiesfor original scientific contributions.

Opportunities are being explored to enhance the quality of the publication by integrating AI models such as ChatGPT, GPT-4, BERT and SciBERT, adapted to the specific requirements of the chosen topic:

Author:>>Canyouanalyzethepossibilitiestoimprovethequalityofthepublicationontheproposedtopicbyusing AImodelslikeChatGPT,GPT-4,BERT and SciBERT?ChatGPT:>>TheintegrationofAImodelssuchasChatGPT,GPT-4,BERTandSciBERTprovidessignificantopportunitiestoautomatekeyaspectsofthescientificpublicationdevelopmentprocess.AImodelscanoptimizeeciencybyautomatinganalyses,generatingsummaries,andstructuringtexts,whichspeedsdevelopmentandimprovesaccuracy.Allofthesecansignificantlyimprove thequalityand eciencyofa publicationwhen implementedwiththeright strategyand scientific oversight.

3. Algorithm for optimizing the process of selecting a topic for a scientific publication with the assistance of ChatGPT

The goal of this algorithm is to assist authors in choosing a current and relevant topic for a scientific publication, using the analytical and generative capabilities of ChatGPT. The development of the algorithm is the result of an interactive dialogue between an author-expert and ChatGPT, in which author-proposed options for scientific topics are evaluated and analyzed. The initial version of the algorithm was generated by ChatGPT based on a question posed by the author-expert specifying the key requirements, “Create an algorithm for selecting a topic for a scientific publication based on our previous dialogue. Let the algorithm be useful for scientists, authors and researchers as a tool to optimize the topic selection process for their scientific publications.”.

After the initial generation, the algorithm was further developed and optimized through the active participation of the expert author. The additional steps added to the process increase its efficiency by focusing on factors such as relevance, consistency with the author’s expertise, and potential for innovative scientific contributions. The algorithm follows a strictly defined structure consisting of sequential steps, each aimed at extracting relevant information and supporting informed decision making. A block-diagram of the algorithm is presented in Fig. 1, illustrating the main steps and their relationship. This development offers a standardized and adaptable approach that greatly facilitates the process of selecting a topic for a scientific publication. The algorithm is versatile and can be customized to the needs of different scientific fields and research objectives.

Figure 1. Block diagram of an algorithm for selecting a topic for a scientific publication

A. Main stages of the algorithm

1) Defining the selection criteria (by the author):

The author defines the main criteria that the topic should fulfil:

– Scientific relevance and significance;

– Relevance to the expertise and research interests of the author(s);

– Potential for scientific contribution and practical application;

– Under-researched aspects and opportunities for innovation.

Figure 1. Block diagram of an algorithm for selecting a topic for a scientific publication

A. Main stages of the algorithm

1) Defining the selection criteria (by the author):

The author defines the main criteria that the topic should fulfil:

– Scientific relevance and significance;

– Relevance to the expertise and research interests of the author(s);

– Potential for scientific contribution and practical application;

– Under-researched aspects and opportunities for innovation.

2) Creating potential topics (by the author):

The author compiled an initial list of potential topics based on:

– Previous research and publications;

– Analysis of current trends in the scientific literature;

– Personal research goals and interests.

3) Interaction with ChatGPT. Request and provide information:

The author provides ChatGPT with a list of potential topics, their author profile(s), and relevant information about research interests and expertise.

– Formulating a clear request to ChatGPT, in line with the criteria set, e.g. “Please evaluate the proposed topics against the criteria of topicality, relevance and potential for scientific contribution.”.

4) Analysis of the authors, information and evaluation of topics:

– ChatGPT analyses the information provided and each proposed topic against the set criteria;

– Assess the compatibility of the topics with the author’s profile, the set criteria, their timeliness and relevance to existing research. ChatGPT excludes those that do not meet the requirements.

5) Reducing topics:

– ChatGPT reduces the list of topics by excluding those that do not meet the specified criteria;

– The remaining themes are ranked according to their relevance to the criteria and opportunities for input.

6) Improvement through additional conditions:

– The author adds new criteria to get a result that best matches his preferences;

– ChatGPT shall present reasoned proposals, subject to additional conditions. ChatGPT updates the assessment based on these new conditions.

7) Analysis of the proposals from ChatGPT:

– ChatGPT provides a reasoned analysis of the advantages and disadvantages of each topic against the set criteria. The analysis focuses on the topicality, scientific potential and relevance of the topics.

8) A detailed study of the proposals by the author:

The author conducts thorough research of his own on the reduced list of topics, including:

– Previous research and publications;

– Analysis of current trends in the scientific literature;

– Personal research goals and interests.

9) Deciding on a topic:

– The author selects the most appropriate topic based on the analysis and research. The decision is supported by data and reasoning from the previous stages. If the chosen topic is not fully satisfactory, the process can be repeated from stage six.

10) Optimization and additional consultations:

– At this stage, actions aimed at improving the quality and originality of the chosen topic are carried out;

– A major focus is the exploration of opportunities for the integration of AI models such as ChatGPT, GPT-4, BERT and SciBERT to be adapted to the specific requirements of the chosen topic;

– In addition, the author performs a refinement of key aspects of the publication, focusing on the clarity, relevance and feasibility of future application of the development.

11) Completion of the process:

– The process ends with the validation of the topic.

B. Advantages of the algorithm

The developed algorithm offers the following advantages:

Eciency and time saving: the algorithm significantly increases the efficiency of the process by automating the analysis of the scientific literature and suggesting relevant topics in a short time. This allows the author to focus on key aspects of the research, such as methodology and publication structure;

Objectivity and reasoned choice: the algorithm provides reasoned decisions by using clearly defined criteria to evaluate the proposed topics. This eliminates subjectivity and ensures that the selected topic is scientifically significant and relevant;

Personalization and compatibility with the author’s expertise: by analyzing the author’s profile, interests and publications, the algorithm suggests topics that are compatible with the author’s expertise. This ensures a high degree of personalization and facilitates the development of the publication;

Integration of innovative AI technologies: using advanced AI models provides in-depth analysis of current scientific trends. These technologies identify underresearched aspects and stimulate innovation in scientific activity;

A structured and standardized approach: the algorithm follows clearly structured steps, making it easy to systematically go through the process of topic selection. This approach ensures consistency and reliability while allowing adaptation to different scientific fields;

SWOT analysis of the proposals: the algorithm includes a strategic analysis of the strengths and weaknesses of each proposed topic, as well as the opportunities and risks associated with them. This enables the author to assess the potential of each topic and select the most appropriate one;

Intelligent approach: the algorithm uses an intelligent approach through the integration of advanced analytical tools and technologies. This ensures objectivity, speed and innovation in the decision-making process that are tailored to the specifics of the study;

Potential for future research and collaboration: the selected themes are aimed at long-term development and offer opportunities for collaboration with other researchers. The algorithm helps to identify under-researched aspects that could lead to significant discoveries;

Improving publication quality: the algorithm offers opportunities for optimization of the selected topic through the integration of AI models to improve originality and structural clarity. This ensures that the development is not only scientifically relevant but also practically applicable;

Flexibility and adaptability: the algorithm allows for the dynamic addition of new criteria or changes in conditions, making it suitable for a variety of scientific fields. This provides a high degree of flexibility and adaptation to the individual needs of the authors.

It can be concluded that the advantages presented establish the algorithm as an effective tool that combines automation, objectivity and personalization. Through the integration of advanced AI technologies and structured methods, it successfully supports the selection of relevant and important topics, fostering innovation and collaboration. Its versatility and adaptability make it applicable across scientific domains, ensuring high quality and strategic contributions to scientific developments.

4. SWOT analysis of the proposed algorithm

Figure 2 shows the basic structure of the SWOT analysis for the proposed algorithm for selecting a topic for a scientific publication.

PositiveNegative sidesStrengthsWeaknessesOpportunitiesThreats

Figure 2. Basic matrix for SWOT analysis of the algorithm

Based on this structure, a detailed matrix was created to organize the features of the algorithm into four key categories (Teece 2018; Leigh 2009). Strengths and opportunities are considered as positive impact factors that support the effectiveness and feasibility of the algorithm. At the same time, weaknesses and threats are identified as aspects that require attention and optimization to minimize their negative impact on the performance of the algorithm. Tables 1 shows a SWOT matrix of the algorithm.

Table 1. SWOT matrix of the proposed algorithm.

StrengthsWeaknessesTechnological capability –Thealgorithm uses advancedAItechnologies to analyse the proposedtopics in depth. Its potential exibilityallows for the integration of otherAImodels as needed, expanding itsanalytical capacity.Dependency –The quality of the resultsis directly dependent on the accuracy andcompleteness of the information provided bythe author.Objectivity -Ensures objectivity byusing clearly articulated evaluationcriteria, minimizing the subjectivity ofthe process.Relevance –The models used by the algorithmmay have limited knowledge of the latestresearch if they are not updated with recentscientic publications.Eciency -Increases e󰀩ciency andsaves signicant time by automatingthe analytical process and reducingthe list of topics.Textual guidance -The algorithm relieson textual information, which may limit itse󰀨ectiveness for complex or interdisciplinarytopics.PersonalizationAllows for acustomized assessment that considersthe author‘s specic expertise,interests, and goal.Structuredness– Presents a structuredapproach that facilitates the systematicselection of a topic for publication.OpportunitiesThreatsExtending –Extending thealgorithm by integrating additionalAI models specialized in scientictext processing, such as BERTor SciBERT, which can enrich theanalysis of topics and the identicationof understudied aspects.Irrelevance –Potential limitations in therelevance of theAI models used if they are notupdated regularly.Identication –Developing functions toanalyze scientic trends in depth andidentify new directions in the choseneld.Dependency –Technological dependency canlead to over-reliance on the algorithm, limitingthe author‘s critical thinking.Platforms –Ability to incorporate thealgorithm into specialized scienticplatforms to support individual authors.Competition –Competition from otherAI toolsthat o󰀨er similar topic selection functionality.Contextual validity –Improvinganalysis capabilities by integratingadditional criteria, such as thegeographical and social context of thechosen topic.Ethics –Ethical challenges related to the useof personal data and analysis of protectedinformation, which may limit access to relevantsources.

The SWOT analysis performed on the algorithm highlights its significant advantages, including efficiency, objectivity, and the ability to personalize through the integration of advanced AI technologies. At the same time, the analysis points to areas that require attention, such as the dependence on the quality of the input information and the need to update the models used. Development opportunities, such as extension with additional AI technologies and adaptation to new criteria, provide perspectives for improving the algorithm. Threats related to competition, technological dependence and potential ethical risks highlight the importance of strategic management, adaptation and compliance with ethical standards (Henz 2021). This analysis not only outlines the current state of the algorithm but also provides guidance for its improvement and successful application in scientific practice.

5. Conclusion

The research conducted highlights the importance and effectiveness of the ChatGPT-assisted topic selection algorithm for scientific publication. The algorithm combines the analytical capabilities of Artificial Intelligence and expert knowledge, providing a structured and personalized approach to identify timely and relevant topics for scientific publications. The integration of SWOT analysis further supports the assessment of strengths and weaknesses as well as the identification of opportunities and risks associated with topic selection.

The algorithm demonstrates the potential to optimize the scientific process through rationalization, objectivity, and adaptability. It not only facilitates the selection of topics, but also encourages a deeper engagement with innovation and supports collaboration across scientific fields. Opportunities for further development and integration, including adaptation to new AI models and expansion of analysis criteria, underline its sustainability and broad application.

A major drawback of the algorithm is the dependence on the quality of the input data provided by the author, which can affect the accuracy of the analysis and suggestions. Furthermore, the AI models used may not reflect the latest scientific trends if they are not regularly updated.

The results of the study demonstrate the need for continued refinement of the algorithm to ensure its relevance and effectiveness in a rapidly evolving scientific environment. Such algorithms represent a strategic tool for accelerating scientific discovery, improving the quality of publications and fostering innovation in academia.

Future developments foresee extending the algorithm by integrating new AI technologies, such as BERT and SciBERT, to improve analysis and identify underexplored aspects. These additional developments will ensure the sustainability and efficiency of the algorithm, making it an even more useful tool for the scientific community and stimulating innovation in the research process.

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INVENTING THE FUTURE: CAN BULGARIAN UNIVERSITIES FULFILL THEIR MISSION AS CATALYSTS FOR ECONOMIC GROWTH AND SUSTAINABILITY?

Dr. Ralitsa Zayakova-Krushkova, Assist. Prof., Dr. Alexander Mitov, Assoc. Prof.

AN INNOVATIVE MODEL FOR DEVELOPING DIGITAL COMPETENCES OF SOCIAL WORKERS

Prof Dr. Lyudmila Vekova, Dr. Tanya Vazova, Chief Assist. Prof., Dr. Penyo Georgiev, Chief Assist. Prof., Dr. Ekaterina Uzhikanova-Kovacheva

BUSINESS ASPECTS OF ACADEMIC PUBLISHING

Dr. Polina Stoyanova, Chief Assist. Prof.

THE ECONOMIC IMPACT OF MUSIC STREAMING

Dr. Dimiter Gantchev, Assist. Prof.

FILM INCENTIVE SCHEME IN THE REPUBLIC OF BULGARIA

Dr. Ivan Nachev, Assist. Prof.

PATENT PROTECTION OF DIGITAL TWINS

Dr. Vladislava Pаcheva, Chief Assist. Prof.

Книжка 1

МНОГОСТРАНЕН ПОДХОД ЗА ИЗСЛЕДВАНЕ РАВНИЩЕТО НА ДИГИТАЛИЗАЦИЯ В ПОДГОТОВКАТА НА БЪДЕЩИ УЧИТЕЛИ

Доц. д-р Бистра Мизова, проф. д-р Румяна Пейчева-Форсайт Проф. д-р Харви Мелър

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

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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

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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
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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