Modeling the Spatial Organization of the Higher Education System in the Regional Economy

Bolgova, E. V.; Kurnikova, M.V.

doi:10.1007/978-3-030-11754-2_4

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…Based on the relevance of the evaluation of university impact on regional development, two main approaches to explain the importance of an efficient geographic organization of a university network may be distinguished. The first approach treats a university as a basic scientific knowledge supplier for production needs (Bauman, 2002;Bolgova & Kurnikova, 2019;Timofeev, Lebedinskaya, Yarnykh, & Kurnikova, 2019). Under that approach the role of knowledge in the productional system is peripheral and therefore external (Guston, 2000).…”

Section: Problem Statementmentioning

confidence: 99%

The Analytical Instruments Of Researching Into The Geography Of European University Networks

Bolgova¹,

Kurnikova²,

Bolgov³

2020

European Proceedings of Social and Behavioural Sciences

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Section: Problem Statementmentioning

confidence: 99%

The Analytical Instruments Of Researching Into The Geography Of European University Networks

Bolgova¹,

Kurnikova²,

Bolgov³

2020

European Proceedings of Social and Behavioural Sciences

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“…However, scholars are still far from coming together around the causes of the unfolding trend toward the convergence of those models. The incorporation of the features of the Anglo-Saxon and continental educational models creates a new university model evolving from the variety of approaches: from 'knowledge economy' [7] to 'cluster approach to a university as an educational and scientific centre and a driving force for regional development [8,9]. G. Goldstein and J. Drucker point out the shift in the traditional university functions (education and research) toward entrepreneurship.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial Organization of the University Network: a European Case-Study

Bolgova¹,

Bolgov²,

Kurnikova³

2019

Proceedings of the First International Volga Region Conference on Economics, Humanities and Sports (FICEHS 2019)

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The spatial strategy of the Russian Federation implies the university network development in compliance with the new conditions of economic development, geographic concentration of labour, scientific and technological, innovative activities. For a long time, a geographic aspect has not been addressed while reforming higher education in spite of a lot of research and managerial experience in spatial university distribution worldwide. In this regard, the study is aimed at grounding the prospects for improving spatial university distribution based on the European experience of countries with different educational models. Based on the methodology of the empirical and statistical analysis, rankings, the authors researched into the theoretical backgrounds of university network distribution, the classification of spatial specifics of European educational models, the conditions for the successful adaptation of the European experience in Russia. The novelty of the research is in the working-out of the university network spatial organization based on the case study of countries with different educational models that have been proved successful. The authors used the methodology of empirical, systemic and comparative analysis. Rankings and general purpose and special purpose applications (Microsoft Excel, Statistica 8.0) were used to observe and classify raw data and calculate integrative indicators. The main results of the research could be used for further research into the spatial distribution of economic resources, for strategic planning activities.

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“…According to Eriyanti et al (2020), to face the challenges of the global economy a person needs to possess basic skills, including educational skills. Bolgova and Kurnikova (2019) allude to the fact that education plays a vital role in building a competitive economy that will barely be affected by crisis and will be able to ensure that there are high rates of social development.…”

Section: Introductionmentioning

confidence: 99%

The Importance of a Learner Management System in Implementing Data-driven Instruction in Higher Education Institutions

Deliwe

2024

JDHASA

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The Covid-19 pandemic has resulted in the worst downturn in the global economy since the Great Depression in the 1930s. To face the challenges of the global economy, a person needs to possess basic skills including educational skills. Education plays a vital role in building a competitive economy that will hardly be affected by crisis and will be able to ensure that there are high rates of social development. The student population has become very diverse over the decades, making it difficult to teach. Teaching has become very complex to handle because of the increase in a variety of teaching strategies and the diverse student population. There is therefore a need for inclusive and equity pedagogy where teaching considers the diversity of students and the need for teachers to develop teaching strategies that support all students, especially those from disadvantaged backgrounds. The most expensive education is the one that is not completed. This conceptual paper looks at the importance of the Learner Management System (LMS) in implementing data-driven instruction to achieve quality education for all types of students. The LMS is a software system that tracks students' participation and progress through data systems and assessments. It's a platform that stimulates an environment for learner achievement and engagement. 'Data-driven instruction' can be defined as using student data to enhance instructional practices in the classroom to address the needs and learning styles of individual students. Additionally, data-driven instruction will be explored to discover how it can be used as a systematic and purposeful work to maximise the students' performance. The study will provide recommendations on how LMS and data-driven instruction can be used to give direction to decisions to improve the students' outcomes.

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Modeling the Spatial Organization of the Higher Education System in the Regional Economy

Cited by 6 publications

References 13 publications

The Analytical Instruments Of Researching Into The Geography Of European University Networks

The Analytical Instruments Of Researching Into The Geography Of European University Networks

Spatial Organization of the University Network: a European Case-Study

The Importance of a Learner Management System in Implementing Data-driven Instruction in Higher Education Institutions

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