The Situation Analysis on Cognitive Level and Participation of Tai Chi in the Institutes of Higher Learning

with the vigorous development of education, the requirement to the higher education, especially to the improving college students’ physical quality, should be higher and strict in the new stage. In the improvement of Sunshine Sports background, the institutes of higher learning began to spread Tai Chi widely, inheriting Chinese traditional culture and in the meanwhile, to improve students’ physical quality and healthy. However, according to their cognitive level and participation of Tai Chi, the limits still wide, which need a further improvement. Thus, this article will do analysis on the cognitive level and participation of Tai Chi in the institutes of higher learning, the main target people is these students. According to the reality, through various analysis method and calibration, we investigate the cognitive level and participation of Tai Chi in the higher education learners and confirm the defects and deficiency within. From this, we can see that cognitive level is not that high, and their participation is not enough, and the positivity to it is not so active. In a word, the wide and deep spread of Tai Chi will help their physical and metal both healthy,firming a base for the future.

A Study on Informatization Teaching Efficacy in Higher Vocational Education in Guangzhou,China

China has been vigorously promoting the construction and development of Informatization teaching efficacy education.Informatization teaching efficacy was used as an indicator of the psychological state of teachers.This article analyzes relevant literature at home and abroad and determines the five dimensions that affect teachers’informatization teaching efficacy in informatization teaching.

Closing the Cybersecurity Skill Gap in Kenya: Curriculum Interventions in Higher Education

In the wake of increased cybercrime against insufficient cybersecurity professionals, there is an urgent need to bridge the skill-gap. The demand for skilled and experienced (approximately 40,000 to 50,000) cybersecurity professionals in Kenya is soaring all-time high. This demand is against the available 1700 certified professionals. Therefore, this paper seeks to bring to fore interventions put in place to address the skill gap through curriculum interventions. In order to get a clear understanding, the paper sought to determine the status of cybersecurity skill gap in Kenya and what universities are doing to address the gap. The paper also sought to propose the way forward to close the skill gap. This is a seminal review paper in the field of cybersecurity in Kenya focusing on institutions of higher learning and the interventions to address the cybersecurity skill gap. This research is significant to the general institutions of higher learning in both private and public universities. Results show that the cybersecurity skill gap is very high in Kenya. Interventions being offered by universities include partnerships with private cybersecurity organizations, offering cybersecurity certification training hackathons, and degree programs. However, it was established that only 13.2% of registered universities that offer cybersecurity degree programs in Kenya. The paper therefore strongly recommends launch of cybersecurity programs at the levels of undergraduate and graduate in many universities. This can therefore be augmented with other interventions such as certifications, hackathons and partnerships. Further research can be conducted to establish factors affecting the launch of cybersecurity programs in institutions of higher learning in Kenya. A further research can also be conducted to determine the effect of supplementary cybersecurity trainings such as hackathons and certifications.

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.

Optimizing University Faculty Teams: Addressing the Talent Mobility Challenges in the Context of “Double First-Class” Initiative

With the advancement of the“Double First-Class”initiative,universities are increasingly focusing on attracting top-tier talent to enhance faculty quality and strengthen academic disciplines.The blind competition for high-end talent among universities reflects an overshadowing of academic values by economic considerations,neglecting the growth patterns of top talent and the development laws of higher education.This study investigates and reflects on the real-world challenges of faculty mobility in universities,aiming to provide effective guidance for managing university faculty teams.

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.

Functions and Responsibilities of the Institutions of Higher Leaming in Accounting Integrity Construction

In different historical periods, the institutions of higher learning are endowed with dltlerent social tunctlons, wnlcn also experience some changes with the social development.The addition of cultural inheritance and innovation function, makes the institutions of higher learning must assume their obligations in accounting integrity construction.This article, through interpreting the essence and significance of accounting integrity, further expound the functions and integrity construction. responsibilities of the institutions of higher learning in accounting

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.

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.

Optimized Artificial Neural Network Techniques to Improve Cybersecurity of Higher Education Institution

Education acts as an important part of economic growth and improvement in human welfare.The educational sectors have transformed a lot in recent days,and Information and Communication Technology(ICT)is an effective part of the education field.Almost every action in university and college,right from the process fromcounselling to admissions and fee deposits has been automated.Attendance records,quiz,evaluation,mark,and grade submissions involved the utilization of the ICT.Therefore,security is essential to accomplish cybersecurity in higher security institutions(HEIs).In this view,this study develops an Automated Outlier Detection for CyberSecurity in Higher Education Institutions(AOD-CSHEI)technique.The AOD-CSHEI technique intends to determine the presence of intrusions or attacks in the HEIs.The AOD-CSHEI technique initially performs data pre-processing in two stages namely data conversion and class labelling.In addition,the Adaptive Synthetic(ADASYN)technique is exploited for the removal of outliers in the data.Besides,the sparrow search algorithm(SSA)with deep neural network(DNN)model is used for the classification of data into the existence or absence of intrusions in the HEIs network.Finally,the SSA is utilized to effectually adjust the hyper parameters of the DNN approach.In order to showcase the enhanced performance of the AOD-CSHEI technique,a set of simulations take place on three benchmark datasets and the results reported the enhanced efficiency of the AOD-CSHEI technique over its compared methods with higher accuracy of 0.9997.

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.

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.

Management of the Higher Education Institution in the Ethical Actions Context

Managing the university in the context of ethics is one of many elements in the management of this specific organization. The task of university is functioning based on universal values, mission, vision, ethical codes, and responsibility and worthy behavior towards internal and external environment. In the era of globalization and constant changes, only a modernly managed higher education institution, acting according to principles of ethics, is able to meet requirements of surroundings. Behaviors of academic community should promote ethical actions in higher education institutions. It should be noted that the reputation, prestige in higher education, should also be based on the proceedings consistent with ethics.

Higher Education in Taiwan： An Analysis of Trends Using the Theory of Punctuated Equilibrium

Taiwan is currently facing the serious challenge of decreasing enrollment in higher education institutes （HEIs） due to the oversupply of these institutions and decreasing birthrates. This has necessitated that policymakers implement new policies to meet the demands of the market. This paper uses punctuated equilibrium theory （PET） to explain the circumstances that led to the overexpansion of Taiwan＇s higher education institutions over the past decades. This article also analyzes the social contexts and ramifications of social conflict regarding public expectations and policy changes in the ideology of the educational reform movement.

Factors Affecting the Adoption of E-Learning Systems in Public Higher Learning Institutions in Tanzania: A Case of Institute of Accountancy Arusha (IAA)

In most developing countries, governments attempt to enforce the movement from analogue to digital for all their sectors, from public to private. These technological advancements have been noted to bring necessary and unavoidable changes to businesses and learning environments. Higher learning institutions have adopted various e-learning systems to support learning, research, and publication activities to stay competitive in global academic systems. However, most public higher learning institutions in Tanzania lag behind in the adoption of these systems. Thus, research shows a failure of these institutions in utilising the full benefit that today’s Information and Communication Technology (ICT) can offer in learning environments. Thus, this study examines factors affecting the adoption of such a system in developing countries like Tanzania, taking the Institute of Accountancy Arusha (IAA) as a case study. The study used a mixed methodology where thematic and descriptive analysis was used to analyse both qualitative and quantitative research data. The study population was 187 teaching staff, a sample size of 126 was obtained, and 157 study participants were involved in the study. The study found that factors affecting the adoption of e-learning systems in public higher learning institutions in Tanzania include lack of ICT infrastructure, lack of technical and managerial support and lack of computers and e-learning knowledge among facilitators. Thus, the study recommended investments in adequate and reliable ICT facilities, high intermate speed and bandwidth, and policies that support e-learning and training programs about e-learning knowledge and use. Also, this study recommends the use of the Multi-Factors Adoption Model (MFAM11) for the successful adoption of an e-learning system in public higher learning institutions in Tanzania.

Analysis on the Teaching Mode of Chinese-foreign Cooperatively-run Higher Institutions in the Context of Internet+

Under the background of“Internet+”,the development of Sino-foreign cooperatively-run higher institutions have changed significantly.Relying on the“Internet+”,exploring new teaching directions has become the focus of attention of relevant personnel.After understanding the influence of“Internet+”on Sino-foreign cooperatively-run higher institutions,this paper analyzes the problems in the traditional mode of teaching,and puts forward the teaching mode for“Internet+”with English as an example.The results of this paper show that the emergence of“Internet+”technology has promoted the development of English teaching mode,so relevant personnel should face up to the positive impact of“Internet+”and explore new teaching paths.Only in this way can we constantly adapt to the future teaching needs.

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.

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.