scholarly journals Models of virtual library users’ behavior analysis

2021 ◽  
Vol 61 ◽  
pp. 25-30
Author(s):  
Gytis Vievesis ◽  
Vytautas Janilionis ◽  
Antanas Štreimikis
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Association Rules ◽  
Virtual Library ◽  
R Software ◽  
Log Files ◽  
Advanced Search ◽  
Library Users ◽  
Search Filters ◽  
First Time

In this paper, we present models for the analysis of the behavior of the virtual library (VL) users. Unlike the models presented in the literature,  they use only the big data that is stored in the log files of virtual library servers and methods of statistics, association rules, and recommendation systems. The proposed models were implemented with R software. Using the proposed models,  the analysis of the behavior of VL users of Lithuanian research and study of higher education institutions was performed for the first time. The results  showed that the proposed models allow to operatively analyze the behavior of virtual library users using advanced search filters, facets, and provide suggestions for improvement of service quality.

scholarly journals Bibliometry in libraries

2016 ◽  
pp. 5-23 ◽  
Author(s):  
Andrey Zemskov ◽  
Kirill Kolosov
Keyword(s):  
Big Data ◽  
Remote Access ◽  
Library Services ◽  
Access System ◽  
Log Files ◽  
Library Users

Traditional analysis of l demands of library users is based mainly on questionnaires. It is also practical to analyze is the COUNTER-based statistics of licenzed materials usage. Nowadays library services implicate generation of big data which is due to OPAC exploitation. Vast arrays of log files of servers of the library remote access system as well as the library website servers are even more impressive. All these data produce new channels for extraction of bibliometric information, which is additional to traditional bibliometric methods and altmetrics.

First-time adoption of International Public Sector Accounting Standards by Russian universities: Practical aspects

2020 ◽  
Vol 23 (4) ◽  
pp. 364-383
Author(s):  
L.I. Kulikova ◽  
I.I. Yakhin
Keyword(s):  
Higher Education ◽  
Public Sector ◽  
Financial Reporting ◽  
Higher Education Institutions ◽  
Accounting Standards ◽  
Educational Process ◽  
Academic Excellence ◽  
Public Sector Accounting ◽  
First Time ◽  
Russian Universities

Subject. This article examines the practice of first-time applying the International Public Sector Accounting Standards (IPSAS) by Russian higher education institutions. Objectives. The article aims to identify and address the problems associated with such application, and conduct a critical analysis of Russian universities' compliance with the requirements of the International Standards on their first-time adoption. Methods. For the study, we used observation, systematization, and a comparative analysis. Results. The article examines and describes the practical experience of the first-time use of IPSAS in the preparation of reporting by Russian educational institutions participating in the Russian Academic Excellence Project (5Top100 Project). It presents the results of the most typical reclassification adjustments of reporting items made by the universities when preparing their inductive statements of financial position as of the date of transition to IPSAS. Conclusions and Relevance. Most of the universities studied complied with the requirements of the IPSAS first-time adoption and provided comparative information in their first IPSAS financial reporting. The importance of the study is to justify the provision that financial reporting in accordance with IPSAS is appropriate to improve the international competitiveness of universities, which makes it possible to better reflect financial information on the activities of universities. The results of the study can be used in the practical activities of the Russian economy public sector organizations, and in the educational process of higher education institutions.

A University Education

2017 ◽  
Author(s):  
David Willetts
Keyword(s):  
Higher Education ◽  
Modern Society ◽  
University Education ◽  
Modern World ◽  
Controversial Issues ◽  
The Us ◽  
The Individual ◽  
The University ◽  
First Time ◽  
The Relationship

Universities have a crucial role in the modern world. In England, entrance to universities is by nation-wide competition which means English universities have an exceptional influence on schools--a striking theme of the book. This important book first investigates the university as an institution and then tracks the individual on their journey to and through university. In A University Education, David Willetts presents a compelling case for the ongoing importance of the university, both as one of the great institutions of modern society and as a transformational experience for the individual. The book also makes illuminating comparisons with higher education in other countries, especially the US and Germany. Drawing on his experience as UK Minister for Universities and Science from 2010 to 2014, the author offers a powerful account of the value of higher education and the case for more expansion. He covers controversial issues in which he was involved from access for disadvantaged students to the introduction of L9,000 fees. The final section addresses some of the big questions for the future, such as the the relationship between universities and business, especially in promoting innovation.. He argues that the two great contemporary trends of globalisation and technological innovation will both change the university significantly. This is an authoritative account of English universities setting them for the first time in their new legal and regulatory framework.

scholarly journals A News Big Data Analysis of Issues in Higher Education in Korea amid the COVID-19 Pandemic

2021 ◽  
Vol 13 (13) ◽  
pp. 7347
Author(s):  
Jangwan Ko ◽  
Seungsu Paek ◽  
Seoyoon Park ◽  
Jiwoo Park
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Data Analysis ◽  
College Education ◽  
Big Data Analysis ◽  
Second Phase ◽  
Public Attention ◽  
Job Market ◽  
Media Reports ◽  
The Government

This paper examines the main issues regarding higher education in Korea—where college education experienced minimal interruptions—during the COVID-19 pandemic through a big data analysis of news articles. By analyzing policy responses from the government and colleges and examining prominent discourses on higher education, it provides a context for discussing the implications of COVID-19 on education policy and what the post-pandemic era would bring. To this end, we utilized BIgKinds, a big data research solution for news articles offered by the Korea Press Foundation, to select a total of 2636 media reports and conducted Topic Modelling based on LDA algorithms using NetMiner. The analyses are split into three distinct periods of COVID-19 spread in the country. Some notable topics from the first phase are remote class, tuition refund, returning Chinese international students, and normalization of college education. Preparations for the College Scholastic Ability Test (CSAT), contact and contactless classes, preparations for early admissions, and supporting job market candidates are extracted for the second phase. For the third phase, the extracted topics include CSAT and college-specific exams, quarantine on campus, social relations on campus, and support for job market candidates. The results confirmed widespread public attention to the relevant issues but also showed empirically that the measures taken by the government and college administrations to combat COVID-19 had limited visibility among media reports. It is important to note that timely and appropriate responses from the government and colleges have enabled continuation of higher education in some capacity during the pandemic. In addition to the media’s role in reporting issues of public interest, there is also a need for continued research and discussion on higher education amid COVID-19 to help effect actual results from various policy efforts.

A Bibliometric Review on Outcome-Based Learning for Graduate Employability: Mapping the Research Front

2021 ◽  
pp. 002205742110164
Author(s):  
Mohammad Zahir Raihan ◽  
Md. Abul Kalam Azad
Keyword(s):  
Research Trend ◽  
Future Research ◽  
Research Front ◽  
Important Research ◽  
R Software ◽  
Future Research Agenda ◽  
Graduate Employability ◽  
Important Research Topic ◽  
Bibliometric Review ◽  
First Time

The outcome-based learning for graduate employability in higher education has been an important research topic among the policymakers, academicians, and researchers over the years. Yet, no bibliometric review on this topic has been published. This study, for the first time, examines bibliometric analysis on this topic examining current research trend and future research agenda. The bibliometrix package in R software and VOSviewer software are used for visualization and interpretation of results. A content analysis is performed to manually examine the bibliometric results.

scholarly journals How to evaluate sustainability of supply chains? A dynamic network DEA approach

2017 ◽  
Vol 117 (9) ◽  
pp. 1866-1889 ◽  
Author(s):  
Vahid Shokri Kahi ◽  
Saeed Yousefi ◽  
Hadi Shabanpour ◽  
Reza Farzipoor Saen
Keyword(s):  
Big Data ◽  
Supply Chains ◽  
Real World ◽  
Performance Optimization ◽  
Network Dynamic ◽  
Network Dea ◽  
Content Type ◽  
Dea Model ◽  
Proposed Model ◽  
First Time

Purpose The purpose of this paper is to develop a novel network and dynamic data envelopment analysis (DEA) model for evaluating sustainability of supply chains. In the proposed model, all links can be considered in calculation of efficiency score. Design/methodology/approach A dynamic DEA model to evaluate sustainable supply chains in which networks have series structure is proposed. Nature of free links is defined and subsequently applied in calculating relative efficiency of supply chains. An additive network DEA model is developed to evaluate sustainability of supply chains in several periods. A case study demonstrates applicability of proposed approach. Findings This paper assists managers to identify inefficient supply chains and take proper remedial actions for performance optimization. Besides, overall efficiency scores of supply chains have less fluctuation. By utilizing the proposed model and determining dual-role factors, managers can plan their supply chains properly and more accurately. Research limitations/implications In real world, managers face with big data. Therefore, we need to develop an approach to deal with big data. Practical implications The proposed model offers useful managerial implications along with means for managers to monitor and measure efficiency of their production processes. The proposed model can be applied in real world problems in which decision makers are faced with multi-stage processes such as supply chains, production systems, etc. Originality/value For the first time, the authors present additive model of network-dynamic DEA. For the first time, the authors outline the links in a way that carry-overs of networks are connected in different periods and not in different stages.

FLOTATION MULTISTAGE AND GENERALIZED MODELS OF THE PROCESS HARVESTERS OF KSENOFONTOV TYPE AND FOR SPECIAL PURPOSE

2021 ◽  
Author(s):  
Boris Ksenofontov
Keyword(s):  
Higher Education ◽  
Graduate Students ◽  
Water Purification ◽  
World Literature ◽  
Flotation Process ◽  
Wide Range ◽  
First Time

A multistage and generalised flotation model, suggested more than 30 years ago by the author, is considered in a wide aspect for the first time in world literature for reader’s attention in monography. The possibilities of its usage are shown in different directions of water flotation purification, sediment thickening and enrichment of minerals. We have shed a light widely on matters concerning new flotation equipment as flotation harvesters of KBS type and for special purposes, which are developed on the basis of flotation process multistage and generalized models. Perspectives and intensification ways of water purification flotation processes are pointed out. It is suggested for a wide range of readers, including researches, Higher education teachers, PhD students, Masters and Bachelors, Graduate students.

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