Sustainability in Higher Education Institutions(HEI):Merging the Study Systematic Review,Analysis Content and Bibliometrics

This study aims to explore how the topic of sustainability in Higher Education Institutions(HEI)has been addressed in the scientific literature.It presents a systematic literature review of peer-reviewed journal articles published between 1975 and 2019.After that,bibliometric and content analyses were performed in order to identify the behavior and evolution of the literature and identify the frequency with which they appear in the text,making it possible to raise replicable and valid inferences to the data.The results of this study indicate that the theme is emerging since the year 2010 and with a strong focus on qualitative studies,focused on critical theory.The results indicate that although studies involve the tripod environment,economy,and society,there is still a gap in studies that deal with specific issues to solve practical problems and that analyze the impacts from a more holistic perspective.The combination of methods made it possible to identify and interpret the articles in the selected sample,but based on results reported by other authors,with little room for quality control and integrity.

Enhanced Artificial Intelligence-based Cybersecurity Intrusion Detection for Higher Education Institutions

As higher education institutions(HEIs)go online,several benefits are attained,and also it is vulnerable to several kinds of attacks.To accomplish security,this paper presents artificial intelligence based cybersecurity intrusion detection models to accomplish security.The incorporation of the strategies into business is a tendency among several distinct industries,comprising education,have recognized as game changer.Consequently,the HEIs are highly related to the requirement and knowledge of the learner,making the education procedure highly effective.Thus,artificial intelligence(AI)and machine learning(ML)models have shown significant interest in HEIs.This study designs a novel Artificial Intelligence based Cybersecurity Intrusion Detection Model for Higher Education Institutions named AICIDHEI technique.The goal of the AICID-HEI technique is to determine the occurrence of distinct kinds of intrusions in higher education institutes.The AICID-HEI technique encompassesmin-max normalization approach to preprocess the data.Besides,the AICID-HEI technique involves the design of improved differential evolution algorithm based feature selection(IDEA-FS)technique is applied to choose the feature subsets.Moreover,the bidirectional long short-term memory(BiLSTM)model is utilized for the detection and classification of intrusions in the network.Furthermore,the Adam optimizer is applied for hyperparameter tuning to properly adjust the hyperparameters in higher educational institutions.In order to validate the experimental results of the proposed AICID-HEI technique,the simulation results of the AICIDHEI technique take place by the use of benchmark dataset.The experimental results reported the betterment of the AICID-HEI technique over the other methods interms of different measures.

The Comparison of Ten Biggest Distance Education Institutions in the World

The 1995 International Council of Distance Education（ICDE）In Blrmingham，Britain selected ten（llstance education mstltutlons with an enrollment of over 100，000Inthe world． Theyrespectively belong to China，阶ance，India，Indonesia，

A Study on the Management of Career Development of Young Teachers in Higher Education Institutions from the Perspective of Career Anchors

In January 2021,six departments in China,including the Ministry of Education jointly issued the Guiding Opinions on Strengthening Reform in HEI Teacher Capacity Building for the New Era which emphasizes support for career development of young teachers.From the perspective of the career anchor theory,this paper takes human resource management as a tool to analyze organizational environment at the macro and micro levels to find out how to facilitate career development of young teachers in higher education institutions.

Coping Strategies of Nigeria Higher Education Institutions during COVID-19 Lockdown

Beginning at the end of the year 2019,the novel coronavirus(COVID-19)has drowned the world into uncertainty and has threatened the continuity of traditional classroom learning that is the backbone and,in many cases,the main method of learning in most countries.This paper seeks to ascertain how Higher Institutions of learning in Nigeria have thrived during the lockdown period,based on the National policy document that spells out the guidelines for school reopening.Official documents such as newspaper reports university bulletins are used to corroborate in order to ascertain the implementation of the provisions of the policy guideline document as well as assess the efficacy of the measures on students’quality of learning.

Artificial Intelligence Techniques Based Learner Authentication in Cybersecurity Higher Education Institutions

Education 4.0 is being authorized more and more by the design of artificial intelligence(AI)techniques.Higher education institutions(HEI)have started to utilize Internet technologies to improve the quality of the service and boost knowledge.Due to the unavailability of information technology(IT)infrastructures,HEI is vulnerable to cyberattacks.Biometric authentication can be used to authenticate a person based on biological features such as face,fingerprint,iris,and so on.This study designs a novel search and rescue optimization with deep learning based learning authentication technique for cybersecurity in higher education institutions,named SRODLLAC technique.The proposed SRODL-LAC technique aims to authenticate the learner/student in HEI using fingerprint biometrics.Besides,the SRODLLACtechnique designs a median filtering(MF)based preprocessing approach to improving the quality of the image.In addition,the Densely Connected Networks(DenseNet-77)model is applied for the extraction of features.Moreover,search and rescue optimization(SRO)algorithm with deep neural network(DNN)model is utilized for the classification process.Lastly,template matching process is done for fingerprint identification.A wide range of simulation analyses is carried out and the results are inspected under several aspects.The experimental results reported the effective performance of the SRODL-LAC technique over the other methodologies.

Threefold Optimized Forecasting of Electricity Consumption in Higher Education Institutions

Energy management benefits both consumers and utility companiesalike. Utility companies remain interested in identifying and reducing energywaste and theft, whereas consumers’ interest remain in lowering their energyexpenses. A large supply-demand gap of over 6 GW exists in Pakistan asreported in 2018. Reducing this gap from the supply side is an expensiveand complex task. However, efficient energy management and distributionon demand side has potential to reduce this gap economically. Electricityload forecasting models are increasingly used by energy managers in takingreal-time tactical decisions to ensure efficient use of resources. Advancementin Machine-learning (ML) technology has enabled accurate forecasting ofelectricity consumption. However, the impact of computation cost affordedby these ML models is often ignored in favour of accuracy. This studyconsiders both accuracy and computation cost as concurrently significantfactors because together they shape the technology environment as well ascreate economic impact. Thus, a three-fold optimized load forecasting modelis proposed which includes (1) application specific parameters selection, (2)impact of different dataset granularities and (3) implementation of specificdata preparation. It deploys and compares the widely used back-propagationArtificial Neural Network (ANN) and Random Forest (RF) models for theprediction of electricity consumption of buildings within a university. In addition to the temporal and historical power consumption date as input parameters, the study also embeds weather data as well as university operationalcalendars resulting in improved performance. The outcomes are indicativethat the granularity i.e. the scale of details in data, and set of reduced and fullinput parameters impact performance accuracies differently for ANN and RFmodels. Experimental results show that overall RF model performed betterboth in terms of accuracy as well as computational time for a 1-min, 15-minand 1-h dataset granularities with the mean absolute percentage error (MAPE)of 2.42, 3.70 and 4.62 in 11.1 s, 1.14 s and 0.3 s respectively, thus well suitedfor a real-time energy monitoring application.

On the bankruptcy of private higher education institutions in China

In recent years,closing down private higher education institutions(HEIs)has become a serious problem in China.It seems that doubt is cast on the rationality of private HEIs and severe competition contributes a lot to their development.Many problems in the process of self-development are caused by both internal and external factors.From the perspective of sustainable development and the healthy development of students,priority should be given to the evolution of an idea to provide a positive environment for the development of private HEIs.This paper is an effort to deal with the statement that higher education in China is a seller’s market and aims to do an objective estimate of the development space for private HEIs.In addition,it shows a clear understanding of establishing the prediction system for relevant issues of private higher education to guarantee the sound development of private HEIs.

A financial perspective:categories of higher education institutions

From a financial perspective,the criteria for category distinction of higher education institutions should be based on the ownership of institution property and income for recurrent expenditure.The development of modern higher education witnessed the period wherein higher education institutions have both private property and private payment for recurrent expenditure.The development also saw the period wherein all the institution properties were owned by the state and all the recurrent expenditure were paid by the government.Accordingly,universities could be divided into two categories of“public”and“private”institutions until the 1970s.However,things have been changing greatly over the past 20 years.Property ownership and payment for recurrent expenditure have been separated.The public institutions appeal to more and more individuals sharing recurrent expenditure,while private institutions ask for more and more public financial support.Therefore,some financially mixed institutions came into being and“three categories with sub-groups”has become a new phenomenon.

A Sentiment Analysis Based Model for Recruitment by Higher Institutions

The traditional roles of a university are teaching and research with the aim of developing society and contributing positively to the national economic development by producing skilled and well-tutored graduates. However, recruitments by these higher institutions are too reliant on the eligibility provided by Resumes of candidates, while neglecting their suitability drawn from their research activity and publications online. This study identifies insights in recruitment trends in higher institutions of learning and uses Artificial Intelligence to produce a more rounded and balanced decision-making process that caters for both eligibility and suitability. The methodology employs the machine learning process using the Multinomial Naïve Bayes for training the model as well as the Vader sentiment analyzer for accuracy and testing. The datasets used contained Resume instances as well as author publication information. The results show a score of 83.9% for the model as well as a sentiment analysis score of 1, indicating an overall positive score. The results show that sentiment analysis can help educational institutions in improving their recruitment models and attracting more suitable candidates for such roles.

A Tailor-made Data Quality Approach for Higher Educational Data

Purpose: This paper relates the definition of data quality procedures for knowledge organizations such as Higher Education Institutions. The main purpose is to present the flexible approach developed for monitoring the data quality of the European Tertiary Education Register(ETER) database, illustrating its functioning and highlighting the main challenges that still have to be faced in this domain.Design/methodology/approach: The proposed data quality methodology is based on two kinds of checks, one to assess the consistency of cross-sectional data and the other to evaluate the stability of multiannual data. This methodology has an operational and empirical orientation. This means that the proposed checks do not assume any theoretical distribution for the determination of the threshold parameters that identify potential outliers, inconsistencies, and errors in the data. Findings: We show that the proposed cross-sectional checks and multiannual checks are helpful to identify outliers, extreme observations and to detect ontological inconsistencies not described in the available meta-data. For this reason, they may be a useful complement to integrate the processing of the available information.Research limitations: The coverage of the study is limited to European Higher Education Institutions. The cross-sectional and multiannual checks are not yet completely integrated.Practical implications: The consideration of the quality of the available data and information is important to enhance data quality-aware empirical investigations, highlighting problems, and areas where to invest for improving the coverage and interoperability of data in future data collection initiatives.Originality/value: The data-driven quality checks proposed in this paper may be useful as a reference for building and monitoring the data quality of new databases or of existing databases available for other countries or systems characterized by high heterogeneity and complexity of the units of analysis without relying on pre-specified theoretical distributions.

Higher Education For Sustainability:A Global Perspective

Higher education institutions have an essential role in sustainability.They are key agents in the education of future leaders that will contribute to the successful United Nations Sustainable Development Goals(SDGs)imple-mentation.The geography of SDGs this implementation is very heterogeneous,but it is clear that higher education institutions contribute decisively to creating a mindset that facilitates the dissemination of SDGs principle.This perspective paper analyses the impacts of higher education on sustainability and the challenges and barriers as-sociated with this process.Higher education contributes decisively to the SDGs implementation,but especially to Goal 1(end poverty in all its forms everywhere),Goal 3(ensure healthy lives and promote well-being for all at all ages),Goal 5(gender equality),Goal 8(decent work and economic growth),Goal 12(responsible consumption and production),Goal 13(climate change)and Goal 16(peace,justice and strong institutions).As a transfor-mational agent,the higher education sector has a tremendous impact on students’habit and contribution to a prosperous society.However,to establish the required change in education,sustainability principles need to be at the heart of higher institutions strategy(e.g.,curricula,modus operandi)and is key to be incorporated in the organisational culture.Only by leading by example,the external influence in the society will be possible(e.g.,implementing SDGs key aspects such as gender quality,reduce waste reduction and energy consumption).For this to be a reality,different communication methods with students are needed(e.g.,different student academic levels).Nevertheless,critical challenges need to be tackled in the institutions inside and outside the institution environment,such as incorporating sustainability principles,political environment and stakeholders’interest.

Exploring University Campus Community’s Perceptions and Barriers toward Biking: A Case Study of the University of Tennessee Knoxville

Bicycling constitutes an integral component of sustainable non-motorized means of travel. Despite the immense benefits of bicycling, the modal share of bicycling is quite low, specifically among young and low-income commuters e.g., college and university students. This study explores the perceptions of and barriers to bicycling of the campus community at the University of Tennessee, Knoxville with the aim to identify the factors that could enhance bike use among students at the university campus as well as highlight the barriers that keep young population away from biking. An online survey about bike use at the university campus was administered and responses to the survey were recorded. On the methodological front, a binary logit model was estimated with students’ willingness to use bikes at campus as the dependent variable. The survey results revealed that about 47% of the students considered vehicular traffic as the reason for feeling unsafe while biking and emphasized having separate bike routes. Most of the respondents highlighted the need to change clothes after biking in summer or carry things as the reason for not selecting bikes as a mode of transport at the campus, whereas inadequate bike lanes, paths, or trails, insufficient lighting along bike routes, and the lack of adequate bicycle parking were highlighted as the major barriers deterring bike use within the campus. The study suggests development of a campus bike network with proper bike lanes, bike runnels, installation of safety cameras and better lighting at the campus, and bike-supporting infrastructure such as communal showers to be provided in campus buildings to encourage bike use among university students. The study findings can assist campus transportation planners in devising a sustainable campus transportation plan incorporating the influencing factors and deterrents of bike use in a university campus setting.

Determinants of Satisfaction at Work and Its Reflections on Performance

This study examines the relationship between job satisfaction and performance,investigating personality traits and satisfaction aspects among employees of a Federal Higher Education Institution.A questionnaire was administered to 658 participants,using structural equation modeling for analysis.Results highlighted that challenging work,neuroticism,and self-esteem significantly influenced overall workplace satisfaction,while general satisfaction,self-efficacy,and lack of attention were key determinants of work performance.This emphasizes the importance for managers to prioritize factors enhancing employee satisfaction,as it positively correlates with job performance.

Plan the Introduction of a TQM System in an Education Establishment

The successful of total quality management(TQM) apply in industry have prompted people to think about the usage of total quality management in education.This is a challenge for education system to accept a new system in able to improve themselves,and also it is a new stage for them going to a new education quality control era.In education system,the productivity of teacher could be enhanced,teachers and students may find enjoyable in academic life,and leaving students positive contribution in society gain reputation for education institutions.

Multimodal Approach to Teaching English in Higher Education

With the deepening of educational reform and the continuous development of the times,the traditional English teaching model has been difficult to meet the current society’s demand for requirements of English talents.Therefore,from the perspective of multi-mode,colleges and universities should recognize the shortcomings of traditional English teaching mode,and actively innovate and reform English teaching through various effective ways,so as to cultivate talents that meet the needs of social development.The author investigates and analyzes the multimodal theory and proposes an effective way to teach English in higher education under the multimodal vision.It is hoped that it will help to improve the quality of English language teaching in higher education institutions.

Development and construction of China's higher education libraries

Libraries in China's higher education institutions have been developing in keeping pace with the flourishing development of China's higher education. This article aims to make an introduction to the construction of China's higher education libraries, especially the recent three decades' achievements since China's reform and opening-up in 1978. In this article, the authors draw a general picture of the development of libraries in China's higher education institutions, covering such eight aspects as management, types and positioning,organizational structure and personnel, expenditure and buildings, reader service, building and sharing of resources as well as automation system.

Enlightenment of the Talent Training Mode of Japan's Colleges and Universities to China's five-year Higher Vocational Education

Since Jimei navigation College of Fujian Province started five-year junior college education in 1984,five-year higher vocational education has become one of the important forms of Higher Vocational Education in China.In the 1960s,with the rapid development of Japan's economy,there was a shortage of technical personnel.In order to cultivate a large number of technical personnel in a short period of time,Japan's specialized colleges and universities recruited junior high school graduates,studied in school for five years,and obtained an associate's degree after graduation,which provided a large number of technical personnel for the development of Japan's basic industry manufacturing industry.By combing the development process of Japan's colleges and universities,this paper studies Japan's colleges and universities from the aspects of school running subjects,talent training objectives,training methods and evaluation methods.It can provide the basis and implementation methods for China to better promote the convergence of secondary and higher vocational education,strengthen the training of secondary and higher vocational education,and provide theoretical basis and practical experience for improving the quality of five-year higher vocational education.

New Features and Trends of Higher Education during the Epidemic Period

The epidemic that ravaged the world has had impact on every element of human endeavors,including education.This devastation was evident in the speed with which several countries'ministries of education shut down school activities and halted academic sessions.In the wake of the epidemic,several trends and features has emerged in the higher education sector as higher education institutions tries to create methods to offset the disruptive impacts of the COVID-19 epidemic on their activities and operations.The trends that will shape the future of the higher education industry are not new.However,the epidemic on the other hand has hastened their progress.It has become evident over the last year what the post-epidemic higher education institutions will look like.The rapid speed of change that has already begun will continue.It is in tandem to this that this paper identifies and discusses some of the emerging trends and new features of higher education in the epidemic period.

Equal Education Opportunities Call for Institutional Equality

The report to the 17th Communist Party of China （CPC） National Congress called for efforts to enable all people to have places to learn and put it in the first place of the five major issues concerning the livelihood of the people. To enable everyone to have places to learn is not only the goal of education but also the goal of promoting social equity and justice. It has endowed every member of the society with the opportunities and rights to receive education on an equal footing. It does not only enable all children to have equal opportunities to receive public education but also provide every citizen with the conditions for lifelong learning.