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Online Education after the Pandemic: Student Problems and Opportunities Research Using Big Data Tools 大流行后的在线教育:利用大数据工具研究学生问题与机遇
Q1 Arts and Humanities Pub Date : 2023-10-29 DOI: 10.31992/0869-3617-2023-32-10-133-150
A. V. Bogdanova, Yu. K. Aleksandrova, V. L. Goiko, V. V. Orlova
This paper presents a scientifically based approach to analyzing large volumes of data from digital traces of students on social networks, which allows you to effectively identify emerging and most discussed problems among students, as well as highlight pain points that provide opportunities for growth, development of universities and improvement of the characteristics of the educational process, support for students etc. The study is based on a thematic analysis of messages published in university communities on the VKontakte social network using big data tools. The study results showed that Russian university students still face a number of challenges, including weak technical infrastructure at universities, a digital divide in access to online education, and negative attitudes towards distance learning. The scientific problem of the study is the contradiction between the existing volume of unstructured data of students’ digital traces in social networks and the lack of a scientifically-based and proven methodological approach to the analysis and evaluation of this voluminous data, which creates obstacles to fundamental research into the relationship between students’ activity in social networks and their satisfaction quality of the educational process. The practical focus is determined in conducting data analysis using big data tools. The findings and evidence-based implications are useful for developing innovative strategies and tools for assessing and supporting students. The results show that the use of big data tools for tracking trends based on digital traces of students on social networks provides highly accurate analytical data and can become the basis for identifying problematic situations in individual universities and the industry as a whole, for data-driven decision-making and management .
本文提出了一种基于科学的方法来分析来自学生在社交网络上的数字痕迹的大量数据,这使您能够有效地识别学生中出现的和讨论最多的问题,以及突出痛点,为大学的成长提供机会,发展和改善教育过程的特点,为学生提供支持等。这项研究是基于使用大数据工具对VKontakte社交网络上大学社区发布的信息进行专题分析。研究结果表明,俄罗斯大学生仍然面临许多挑战,包括大学技术基础设施薄弱、在线教育的数字鸿沟以及对远程教育的消极态度。本研究的科学问题是现有的大量学生在社交网络中的数字痕迹的非结构化数据与缺乏一种科学的、经过验证的方法来分析和评估这些大量数据之间的矛盾,这给学生在社交网络中的活动与他们对教育过程的满意度之间的关系的基础研究造成了障碍。实际的重点是确定在使用大数据工具进行数据分析。研究结果和基于证据的影响有助于制定创新的策略和工具来评估和支持学生。研究结果表明,基于学生在社交网络上的数字痕迹,使用大数据工具来跟踪趋势,可以提供高度准确的分析数据,并可以成为识别个别大学和整个行业问题情况的基础,用于数据驱动的决策和管理。
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引用次数: 0
Image of Higher Educational Institutions: Features of Perception by Graduating Class Students 高校形象:毕业班学生的感知特征
Q1 Arts and Humanities Pub Date : 2023-10-29 DOI: 10.31992/0869-3617-2023-32-10-115-132
V. A. Sagaidak, A. L. Kuzevanova, O. Yu. Yabloskikh
The article is devoted to the problem of forming the image of higher educational institutions in the conditions of increasing competition in the regional market of educational services, as well as between regional and metropolitan educational institutions. The purpose of the study is to identify the features of perception of a higher education organizations image by pupils of graduating classes. The results of online survey of high school pupils from Volgograd and Volzhsky and the series of in-depth interviews with graduate pupils are presented. The results of the study demonstrate the subjective perception by potential applicants of the essence of image of higher educational institutions, limited by the specifics of their social experience and status of schoolchildren. The key components of the image of universities, according to Volgograd pupils, include the image of educational services and teaching staff, social and visual image, that corresponds to the priority of the activities of educational organizations and correlates with the results of All-Russian and regional sociological studies. The effectiveness of Internet resources as a source of information about universities, that was revealed by the results of a survey of pupils, reflects the general trends of the digital society, and the high importance of personal contacts reflects the specifics of the regional image of educational institutions. The current image of the main universities of Volgograd is characterized by reflects of the final grades quite positively, however, a third of the study participants found it difficult to assess the key image components, that indicates the need to improve the efficiency of educational organizations in their formation. At the same time, the most relevant is the construction of a positive image of the teaching staff and the internal image of local educational institutions, reflecting the specifics of their socio-psychological climate. The recommendations to improve the effectiveness of image-forming activities, that were proposed by the authors, are related to the expansion of the representation of universities in the Internet space, the involvement of teachers and opinion leaders from among the student community as content authors, as well as the development of interactive communication with potential applicants.
本文探讨了在区域教育服务市场竞争日益激烈的情况下,以及区域和城市教育机构之间的竞争加剧的情况下,高校形象的塑造问题。本研究的目的是找出毕业班学生对高等教育机构形象的认知特征。本文介绍了对伏尔加格勒和伏尔日斯基高中学生的在线调查结果以及对研究生的一系列深度访谈。研究结果表明,受社会经历和学童身份的限制,潜在申请者对高等教育机构形象本质的主观感知。根据伏尔加格勒学生的说法,大学形象的关键组成部分包括教育服务和教学人员的形象,社会和视觉形象,这与教育组织活动的优先事项相对应,并与全俄和地区社会学研究的结果相关联。一项对学生的调查结果显示,互联网资源作为大学信息来源的有效性反映了数字社会的总体趋势,个人联系的高度重要性反映了教育机构区域形象的特殊性。伏尔加格勒主要大学的当前形象的特点是反映了最终的成绩相当积极,然而,三分之一的研究参与者发现很难评估关键的形象组成部分,这表明需要提高其形成教育组织的效率。与此同时,最相关的是教师的正面形象和地方教育机构的内部形象的构建,反映了他们的社会心理气候的特殊性。作者提出的提高形象塑造活动有效性的建议涉及扩大大学在互联网空间中的代表性,让学生社区中的教师和意见领袖作为内容作者参与其中,以及发展与潜在申请人的互动交流。
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引用次数: 0
Russia’s State Policy on the Development of Science at Universities: Lessons from the 90s 俄罗斯关于大学科学发展的国家政策:90年代的教训
Q1 Arts and Humanities Pub Date : 2023-10-29 DOI: 10.31992/0869-3617-2023-32-10-76-90
I. G. Dezhina
The article discusses the influence of state programs on research development in Russian universities in the first post-Soviet decade. After the USSR collapse the conditions for doing research in Russia worsened significantly due to a sharp reduction in budget funding with unessential other sources of support. Research conducted in higher education institutions was a small fraction of the entire system, and involvement in science was not among the primary activities of universities, except for a small number of leading universities. At the same time, mostly higher education institutions were responsible for training of highly qualified personnel. This discrepancy posed a threat for the science system. At the state level, a number of separate targeted programs was initiated, with an emphasis on fundamental research in universities. The aim of the article is to identify and systematize, in the framework of these state programs, the main factors affected the development of science in higher education institutions. The research methods include literature review, analysis of statistical data, and interpretations of surveys conducted in the 90s. It is shown that the programs’ results were modest and did not change the scale of university science in the country. The hampering factors were associated with regulatory and legal restrictions, sub-optimal choice of areas for support, underfunding and dispersion of financial support, and insufficient consideration of the former research specialization of universities. At the same time, these programs gave impetus to the discussion of the concepts of research universities, which later were implemented.
本文讨论了国家项目对苏联解体后第一个十年俄罗斯大学科研发展的影响。苏联解体后,由于预算资金的急剧减少以及其他不必要的支持来源,在俄罗斯进行研究的条件大大恶化。在高等教育机构中进行的研究只占整个系统的一小部分,除了少数顶尖大学外,参与科学并不是大学的主要活动之一。与此同时,大多数高等教育机构负责培养高素质人才。这种差异对科学体系构成了威胁。在州一级,启动了一些单独的有针对性的项目,重点是大学的基础研究。本文的目的是在这些国家规划的框架下,识别和系统化影响高校科学发展的主要因素。研究方法包括文献综述、统计数据分析和对90年代调查的解释。结果表明,这些项目的效果是适度的,并没有改变我国大学科学的规模。制约因素主要有:法律法规限制、资助领域选择不优、资助资金不足和资金分散、对高校原有研究专业化考虑不足等。与此同时,这些计划推动了对研究型大学概念的讨论,这些概念后来得到了实施。
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引用次数: 0
The ADDIE Model in Instructional Design: NUST MISIS Case Study 教学设计中的ADDIE模式:南京科技大学mis个案研究
Q1 Arts and Humanities Pub Date : 2023-10-29 DOI: 10.31992/0869-3617-2023-32-10-151-166
M. V. Lukanina, S. G. Merkulova
Theoretical and methodological analysis of research devoted to pedagogical design has revealed a shortage of empirical design model implementation descriptions. The article examines the case of ADDIE model application to design an «English Language» course for master degree students at University of Science and Technology MISIS. New approaches to course design are vital to raise education competitiveness, which in turn is subject to objective contemporary social trends. The first stage of ADDIE model (Analysis) was based on needs assessment conducted among master degree students in the form of questionnaires, as well as 2020-2023 course curricula analysis in terms of competencies indicated by major courses departments for the subject area “English Language” in accordance with the FSES HE 3++ requirements. The article gives insight into course description, structure and principles which reflect the coherent progress of Design, Development and Implementation stages. Evaluation process is demonstrated through post-course questionnaire analysis to assess the dynamics of student satisfaction, as well as the analysis of course examination/completion results in 2020-2021 approbation year, after conceptual and content changes were made. The data show that the program fully complies with the expectations of master degree students of non-linguistics majors from the «English Language» course, allows to ensure positive foreign language acquisition and enhanced course completion. The conclusion drawn is that the application of five-stage-ADDIE framework makes for smooth and clear course design, given 1 semester and mixed-level master degree students of different non-linguistics majors.
对教学设计研究的理论和方法分析揭示了经验设计模型实施描述的不足。本文考察了ADDIE模型应用于科技大学硕士研究生《英语语言》课程设计的案例。课程设计的新途径是提高教育竞争力的关键,而教育竞争力又受制于客观的当代社会发展趋势。ADDIE模型(Analysis)的第一阶段是基于以问卷形式对硕士生进行的需求评估,以及根据FSES HE 3++要求,根据主要课程部门对“英语语言”学科领域的能力进行2020-2023课程的课程分析。文章给出了课程描述、结构和原则,反映了设计、开发和实施阶段的连贯进展。评估过程通过课程后问卷分析来评估学生满意度的动态,以及在概念和内容发生变化后,对2020-2021年批准年度的课程考试/完成结果进行分析。数据表明,该方案完全符合非语言学专业硕士生对“英语语言”课程的期望,可以确保积极的外语习得和提高课程完成度。得出的结论是,在1个学期、不同非语言学专业的混合层次硕士生的情况下,采用五阶段addie框架可以使课程设计更加流畅和清晰。
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引用次数: 0
Mechanisms for Activating the Personal Potential of Students in the Context of Digitalization of University Education 大学教育数字化背景下激发学生个人潜能的机制
Q1 Arts and Humanities Pub Date : 2023-10-29 DOI: 10.31992/0869-3617-2023-32-10-91-114
E. N. Shutenko, A. I. Shutenko
The purpose of this paper is to design a psychological-pedagogical construct of the implementation of information technologies in the process of teaching students for developing their personal potential. The rapid digitalization of higher education has caused the need to ensure the didactically correct information-communicative technology (ICT) introduction in education, which must organically comply with the structure and logic of the learning process, as well as the task of personal development. Solving these tasks, the authors propose not direct, but mediated use of different ICTs through the development of a system of various educational communications that are built and supported by the teacher. This is the novelty of the study and its dissimilarity to most of the current projects of forced, technocratic digitalization of students study, which do not sufficiently take into account the laws and principles of a holistic educational process and the becoming of personality in it. Based on psychological and didactic approaches and methods, the authors reconstruct the pedagogically controlled process of ICT introducing into education through the implementation by the teacher of interrelated mechanisms – environment-forming and trigger mechanisms. The environment-forming mechanism unfolds the logic of the phased introduction of ICT – from the principles of their use through the construction of educational communications to the methods for activating of students personal potential in the form of trigger mechanisms. These activators are modes for the practical inclusion of ICT in education and are set by the mechanism for personalizing educational communications. Assuming the attunement of ICT to the personality of the student, this mechanism brings the teacher to the fore in the process of digitalization of learning. Being the initiator and organizer of educational communications, the teacher can adequately and fully ensure this attunement and targeting of ICT use by implementing a set of conjugated mechanisms: responsive, polycontact, contemporal, meaning-centric, project-constructing, cultural-mediating, consolidating, inclusive, comparative and the mechanism of problematization. Approbation of the proposed mechanisms in the practice of online-learning has shown their sufficient effectiveness, students have an increase in indicators of self-realization and self-regulation, as well as the significance of values of self-development in education.
本文的目的是设计一个信息技术在学生个人潜能开发教学过程中实施的心理教学结构。高等教育的快速数字化,要求在教育中正确地引入信息通信技术(ICT),这必须有机地符合学习过程的结构和逻辑,以及个人发展的任务。为了解决这些问题,作者建议通过发展由教师建立和支持的各种教育交流系统,而不是直接,而是间接地使用不同的信息通信技术。这是这项研究的新颖之处,它与目前大多数强迫的、技术官僚式的学生学习数字化项目不同,这些项目没有充分考虑到整体教育过程的规律和原则以及个性的形成。基于心理学和教学的途径和方法,作者通过教师实施相关机制——环境形成机制和触发机制,重构了信息通信技术引入教育的教学控制过程。环境形成机制揭示了信息通信技术阶段性引入的逻辑——从信息通信技术的使用原则到教育传播的构建,再到以触发机制的形式激活学生个人潜能的方法。这些激活因素是将信息通信技术实际纳入教育的模式,由个性化教育交流机制设定。这一机制假设了信息通信技术对学生个性的调适,使教师在数字化学习的过程中处于突出地位。作为教育传播的发起者和组织者,教师可以通过一套共轭机制:响应性机制、多接触机制、当代性机制、意义中心机制、项目构建机制、文化中介机制、巩固机制、包容性机制、比较机制和问题化机制,充分保证信息通信技术使用的协调性和针对性。在网络学习实践中,所提出的机制得到了充分的认可,学生的自我实现和自我调节的指标有所增加,自我发展的价值观在教育中的意义也有所提高。
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引用次数: 0
Educational Potential of Cities – Russian University Centers as a Factor of Increasing Their Competitiveness 城市的教育潜力——俄罗斯大学中心提高竞争力的一个因素
Q1 Arts and Humanities Pub Date : 2023-10-28 DOI: 10.31992/0869-3617-2023-32-10-34-56
T. F. Kreydenko, M. D. Petrovic, V. N. Kholina
The current stage of the country development is characterized by increasing the role of universities not only in the educational and public space of the country, but also in the socio-economic advancement of cities and regions. Universities forming the educational potential of the cities are flagships of their technological transformation, form the city brand, increase their sustainability, lifeabitity and competitiveness. The aim of the study is the typologization of cities – university centers of Russia, carried out with the help of a comprehensive index of educational potential developed by the authors. The statistical base for assessing the educational potential of cities was the data of the Monitoring of the effectiveness of the educational institutions of higher education in 2022, university rankings of the British company Quacquarelli Symonds (integral QS ranking and 5 integrated areas of study), RA-Expert (integrated and individual in 29 areas of study), the Three Missions of the University rating, and the University Reputation Ranking. The study was carried in 3 stages, each of them involved special methodological approaches. At the first stage, there was a review of existing theoretical and practical research on the subject, the integrated index of the educational potential of university centers was developed. At the second stage of the study on the bases of this index a typology of university centers of the Russian Federation was carried out. At the third stage, there was a comparation of the previous results with their positions in the Sustainable Urban Development Index and realization of creative potential. The implementation of educational potential of the most sustainable competitive university centers was separately analyzed in the context of the strategy of internationalization and export of education. National project “Science and Universities” aimed at formation of 100 universities as centers of scientific, technological and socio-economic development by 2030, as well as the program for the construction of 25 world-level modern campuses increase attention to cities as centers of localization of higher education, their educational potential, and, ultimately, their competitiveness. The scientific importance of the research is the development of methodological approaches to assessing the educational potential of cities – university centers and its testing on the example of 1208 universities located in 306 cities of 84 regions of Russia. As a result, a typology of Russian university centers was carried out according to the level of educational potential: 6 types of cities were identified, differing in the city-forming role of higher educational institutions, their role in brand formation and the competitiveness of the city. The typology makes it possible to assess the educational potential of university centers in Russia to form effective strategies for their development in the context of the realizing the national development goa
国家发展的当前阶段的特点是,大学不仅在国家的教育和公共空间,而且在城市和地区的社会经济进步中发挥着越来越大的作用。大学形成了城市的教育潜力,是城市技术改造的旗舰,形成了城市品牌,增加了城市的可持续性、生命力和竞争力。该研究的目的是城市类型学-俄罗斯大学中心,在作者开发的教育潜力综合指数的帮助下进行。评估城市教育潜力的统计基础是2022年高等教育机构有效性监测数据、英国Quacquarelli Symonds公司的大学排名(综合QS排名和5个综合研究领域)、RA-Expert(综合和单独研究29个领域)、大学三大使命评级和大学声誉排名。研究分三个阶段进行,每个阶段都涉及特殊的方法方法。第一阶段,对现有的理论和实践研究进行了综述,提出了大学中心教育潜力综合评价指标。在研究的第二阶段,在该指数的基础上,对俄罗斯联邦的大学中心进行了类型学研究。在第三阶段,将之前的结果与他们在可持续城市发展指数中的位置和创造潜力的实现进行比较。在教育国际化和教育输出战略背景下,分别分析了最具可持续竞争力大学中心教育潜力的实施情况。以到2030年建成100所科学、技术和社会经济发展中心为目标的国家“科学和大学”计划,以及建设25所世界级现代校园的计划,使人们更加关注城市作为高等教育本土化中心、其教育潜力以及最终的竞争力。该研究的科学重要性在于开发了评估城市-大学中心教育潜力的方法方法,并以俄罗斯84个地区306个城市的1208所大学为例进行了测试。因此,根据教育潜力水平对俄罗斯大学中心进行了类型学研究:确定了6种类型的城市,这些城市在高等教育机构的城市形成作用、品牌形成作用和城市竞争力方面有所不同。该类型学可以评估俄罗斯大学中心的教育潜力,从而在实现俄罗斯国家发展目标的背景下形成有效的发展战略。
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引用次数: 0
The Role of Scientometric Thresholds for the Evaluation of Grant Applications 科学计量阈值在评估拨款申请中的作用
Q1 Arts and Humanities Pub Date : 2023-10-28 DOI: 10.31992/0869-3617-2023-32-10-57-75
K. S. Guba, A. M. Zheleznov, E. A. Chechik
The present study focuses on data from the Russian Science Foundation (RSF). The authors analyze the effect of using quantitative indicators in grant allocation by using the natural experiment with the increasing publication threshold for principal investigators between two waves of grant selections in 2014 and 2017. The authors selected the relatively new RSF as our case study due to its policy to establish a publication threshold for grants’ principal investigators. The policy change provides the authors with the opportunity to study whether reliance on bibliometric indicators brings better results in the project evaluation process. This analysis included two groups of researchers: 1) physicists and 2) social sciences and humanities scholars. Scopus was sourced to collect bibliographic data, while the foundation’s website was used to check data on the funded projects. The following questions are explored in detail: whether the policy affected the distribution of funds to researchers with a better publication record, the strategies of increasing publications by individual researchers, and the differences, if any, in policy effects between disciplines. The authors found that the selection among physicists in the first wave was already effective as the grant recipients are prolific authors who publish many highly cited papers before 2014. In addition, the results indicated that the group of research leaders in physics did not significantly change between the two selected waves of competitions (from 2014 to 2017). Although social scientists demonstrated a relatively weak ability to publish internationally, the increase in scientometric expectations has improved the publication record regarding the quantity and quality of publications.
本研究的重点是来自俄罗斯科学基金会(RSF)的数据。本文采用2014年和2017年两轮资助选择期间主要科研人员发表门槛不断提高的自然实验,分析了定量指标在资助分配中的作用。作者选择了相对较新的RSF作为我们的案例研究,因为它的政策是为资助的主要研究者建立一个发表门槛。政策的变化为作者提供了研究依赖文献计量指标是否在项目评估过程中带来更好结果的机会。这项分析包括两组研究人员:1)物理学家和2)社会科学和人文学者。Scopus是用来收集书目数据的,而基金会的网站是用来检查受资助项目的数据。本文详细探讨了以下问题:该政策是否影响了向发表记录较好的研究人员分配资金,个别研究人员增加发表的策略,以及不同学科之间政策效果的差异(如果有的话)。作者发现,第一波物理学家的选择已经很有效,因为获得资助的人是高产作者,他们在2014年之前发表了许多高被引论文。此外,研究结果表明,在2014年至2017年的两轮评选中,物理学领域的研究带头人群体没有显著变化。尽管社会科学家在国际上发表论文的能力相对较弱,但科学计量学期望的提高已经改善了在出版物数量和质量方面的发表记录。
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引用次数: 0
Artificial Intelligence in Education: Awareness, Readiness and Practice of Using Artificial Intelligence Technologies in Professional Activities by University Faculty 教育中的人工智能:大学教师在专业活动中使用人工智能技术的认识、准备和实践
Q1 Arts and Humanities Pub Date : 2023-10-28 DOI: 10.31992/0869-3617-2023-32-10-9-33
P. V. Sysoyev
Daily artificial intelligence (AI) technologies are being implemented deeper and deeper in all spheres of human life, including education. At the same time, the degree of integration of AI tools into the pedagogical process largely depends on the awareness, readiness and practice of using the entire AI arsenal by teachers in their professional activities. The purpose of this study is to identify the awareness of university faculty in the use of AI tools in teaching activities, as well as to determine the degree of their readiness and practice of using AI technology in the educational process. The survey participants were 426 teachers from 18 universities of the Russian Federation. The results of the survey showed that the integration of AI tools in education is currently at an early stage. In general, university faculty lack a systematic understanding of the organizational, teaching and learning potential of AI tools. Many educators have segmental knowledge, related to a greater extent directly to their professional activities in teaching specific disciplines, and are not able to create a complete picture of the possibilities of AI in education. At the same time, most university professors express a neutral attitude or readiness to use AI tools in teaching activities. The experience of practical application of AI tools in the pedagogical process is limited to a few cases of using specific technologies in teaching specific aspects of disciplines.
日常人工智能(AI)技术正在越来越深入地应用于包括教育在内的人类生活的各个领域。与此同时,人工智能工具融入教学过程的程度在很大程度上取决于教师在其专业活动中使用整个人工智能武器库的意识、准备和实践。本研究的目的是确定大学教师在教学活动中使用人工智能工具的意识,并确定他们在教育过程中使用人工智能技术的准备程度和实践程度。调查对象是来自俄罗斯联邦18所大学的426名教师。调查结果显示,人工智能工具在教育中的整合目前处于早期阶段。一般来说,大学教师对人工智能工具的组织、教学和学习潜力缺乏系统的了解。许多教育工作者的知识都是片段式的,在很大程度上与他们教授特定学科的专业活动直接相关,无法全面描绘人工智能在教育中的可能性。与此同时,大多数大学教授对在教学活动中使用人工智能工具表示中立态度或准备。人工智能工具在教学过程中的实际应用经验仅限于在学科的特定方面使用特定技术的几个案例。
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引用次数: 0
Russian Universities as Actors of Arctic Science Diplomacy 俄罗斯大学作为北极科学外交的行动者
Q1 Arts and Humanities Pub Date : 2023-09-13 DOI: 10.31992/0869-3617-2023-32-8-9-70-88
M Y. Gutenev, M. L Lagutina, A. A. Sergunin
Abstract. This article examines the role of Russian universities in emerging and further developing Arctic science diplomacy (ASD). According to authors, in the current geopolitical conditions Russian universities are significant ASD actors which perform a number of important functions for the organization of international scientific cooperation with foreign countries and making a positive image of Russia in the world. The paper uses a systemic approach to identify Russian universities’ contribution to the ASD development through various mechanisms: joint research projects and publications with foreign partners, the organization of international events on the Arctic issues and participation in prestigious international conferences on the Arctic research area, joint polar expeditions (land and maritime), and participation of Russian scientists in international Arctic scientific organizations, etc. The university ASD is exemplified by the Russian leading universities – St. Petersburg State University, Moscow State University, Northern (Arctic) Federal University, etc. The study demonstrated that maintaining a dialogue on an ongoing basis within the framework of research and educational activities of universities can contribute to the systematic establishment of cooperation in other areas of international relations, the search for innovative solutions for the benefit of the development of the entire Arctic region.
摘要本文探讨了俄罗斯大学在新兴和进一步发展的北极科学外交(ASD)中的作用。作者认为,在当前的地缘政治条件下,俄罗斯大学是重要的ASD参与者,在组织与外国的国际科学合作和在世界上树立俄罗斯的积极形象方面发挥着许多重要作用。本文采用系统的方法确定了俄罗斯大学通过各种机制对ASD发展的贡献:与外国合作伙伴的联合研究项目和出版物,组织关于北极问题的国际活动和参与北极研究领域的著名国际会议,联合极地考察(陆地和海上),以及俄罗斯科学家参与国际北极科学组织等。ASD大学以俄罗斯一流大学-圣彼得堡国立大学,莫斯科国立大学,北方(北极)联邦大学等为例。这项研究表明,在大学研究和教育活动的框架内保持持续的对话可以有助于在国际关系的其他领域有系统地建立合作,为整个北极地区的发展寻求创新的解决办法。
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引用次数: 0
Development and Prospects of National Intelligent System for Testing General Language Competencies Deployed Through Neural Network Solutions 基于神经网络解决方案的国家通用语言能力智能测试系统的发展与展望
Q1 Arts and Humanities Pub Date : 2023-09-13 DOI: 10.31992/0869-3617-2023-32-8-9-147-166
E. M. Bazanova, A. V. Gorizontova, N. N. Gribova, T. M. Chikake, A. V. Samosyuk
The article presents the results of approbation of the intellectual system for testing general language competences (ISTOK) developed by testologists, linguists, specialists in methodology of teaching foreign languages and in artificial intelligence. This system includes a range of tests assessing language ability at levels from A2 to C1 of the Common European Framework of Reference (CEFR), as well as an adaptive placement test. All test materials are calibrated according to the CEFR. ISTOK is an adaptive testing system deployed through neural network solutions and providing assessment of receptive and productive language skills (reading, listening, speaking and writing) by using artificial intelligence and/or neurolinguistic models. The process of ISTOK development implied, apart from writing test items, putting together databases of writing and speaking assignments marked by professional assessors and assessment criteria for productive skills, as well as algorithms to identify various types of mistakes with the help of artificial intelligence. The results of various testing cohorts with the total number of test takers exceeding 5,000 demonstrated high reliability and objectified test validity. The new approach to language skills testing can be used for various purposes in higher education institutions, as well and to identify and/or confirm language proficiency of personnel in different organisations and businesses, while the principles of training and practical use of neurolinguistic models will find wide application in various fields of applied research.
本文介绍了由语言学家、语言学家、外语教学方法专家和人工智能专家开发的通用语言能力智力测试系统(ISTOK)的认可结果。该系统包括一系列评估语言能力的测试,从欧洲共同参考框架(CEFR)的A2到C1水平,以及适应性分班测试。所有测试材料均根据CEFR进行校准。ISTOK是一个通过神经网络解决方案部署的自适应测试系统,通过使用人工智能和/或神经语言学模型,对接受性和生产性语言技能(阅读、听力、口语和写作)进行评估。ISTOK的开发过程意味着,除了写作测试项目外,还包括将由专业评估人员标记的写作和口语作业数据库和生产技能评估标准整合在一起,以及在人工智能的帮助下识别各种类型错误的算法。在总人数超过5000人的多个测试队列中,测试结果具有较高的信度和客观效度。新的语言技能测试方法可用于高等教育机构的各种目的,也可用于识别和/或确认不同组织和企业人员的语言能力,而神经语言学模型的培训原则和实际应用将在各种应用研究领域得到广泛应用。
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引用次数: 0
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Vysshee Obrazovanie v Rossii
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