Big data challenge for monitoring quality in higher education institutions using business intelligence dashboards

As big data becomes an apparent challenge to handle when building a business intelligence(BI)system,there is a motivation to handle this challenging issue in higher education institutions(HEIs).Monitoring quality in HEIs encompasses handling huge amounts of data coming from different sources.This paper reviews big data and analyses the cases from the literature regarding quality assurance(QA)in HEIs.It also outlines a framework that can address the big data challenge in HEIs to handle QA monitoring using BI dashboards and a prototype dashboard is presented in this paper.The dashboard was developed using a utilisation tool to monitor QA in HEIs to provide visual representations of big data.The prototype dashboard enables stakeholders to monitor compliance with QA standards while addressing the big data challenge associated with the substantial volume of data managed by HEIs’QA systems.This paper also outlines how the developed system integrates big data from social media into the monitoring dashboard.

Comparison of German and American Higher Education Accreditation Systems and Implications for Quality Management of Higher Education in China

At the present stage,China’s higher education has experienced continuous reform and enhancement,the scale of education has jumped to the forefront,and the quality of education has been continuously improved,which has made gratifying achievements.The development of China’s higher education has entered the critical node of improving quality and efficiency,and the importance of quality management as the central link in improving the quality of higher education is self-evident.Accreditation as an effective means of quality assurance,in Germany and the United States has formed a mature and perfect system and procedures.Therefore,analysing and learning from the quality management system of higher education in Germany and the United States has an important reference value for promoting the further development of quality management of higher education in China.

Innovation and Practice of Internal Quality Assurance System in Higher Education Institutions -- Taking Jingzhou Vocational and Technical College as an Example

Continuously improving the internal quality assurance system and promoting the innovative development of higher vocational education is a challenge that every higher vocational institution must solve on the road of diagnosis and improvement.To address the current dilemma of building internal quality assurance systems in higher education institutions,this study utilizes a case study approach.This study takes Jingzhou Vocational and Technical College as the research object for research.Conclusion:The excellent diagnosis and reform model and the effectiveness of diagnosis and reform in this school can provide new strategic ideas for the practice of diagnosis and reform for the high-quality development of higher education in Hubei.

Total Quality Management at Algerian Higher Education Institutions to Promote Our Roles in Comprehensive Development

The aims this study to know the reality of the role for Total Quality Management(TQM)to need of Algerian Higher Education Institutions(AHEI)in apply the Total Quality Management(TQM)to promote the Comprehensive Development(CD),and this approach to enhance their roles in the comprehensive development,the efficiency of the training process,global changes and their needs to adopt a new educational policy in line with the global transformation competition,and the requirements of sustainable development,in this study was used a questionnaire composed of(75)items distributed on(08)areas,This is for confirmation the need to adopt philosophy of Total Quality Management(TQM)as a strategy imposed by the nature and the stage experienced for Algerian Higher Education Institutions(AHEI),And deal with the nature of the changes and challenges imposed by certain factors such as Globalization and the knowledge revolution,through all this inevitably to apply the Total Quality Management(TQM)in our Algerian Higher Education Institutions(AHEI).

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.

Cloud Computing at a Cross Road: Quality and Risks in Higher Education

The key determinants of cloud computing provide a convincing argument for HEIs and its stakeholders to adopt the innovation. These benefits reflect the essential quality characteristics of the cloud, such as Broad network Access;Measured Service;On-demand Self-Service;Rapid Elasticity;and Resource Pooling. However, there are also risks associated with the cloud, leading to non-adoption, such as Confidence, Privacy, Security, Surety and Trust. Understanding the impact of these factors can support multiple stakeholders, such as students, lecturers, senior managers and admins in their adoptive decision of CC in their respected institutions. Using the Multiview 3 (MV3) methodology, a research model was proposed to explore the key qualities and risks that determine the adoption or non-adoption of CC by UK HEIs from multiple perspectives. An exploratory qualitative study was conducted on 32 University stakeholders across 2 UK Universities. The findings suggest that security, privacy and trust are the key determinants to non-adoption as participants felt that the cloud cannot fully guarantee the safeguarding of sensitive information. Determinants to cloud adoption include improving relationships between students and teachers via collaborative tools, in addition to proposing cloud apps for mobile devices for accessing virtual learning materials and email securely off-campus. In conclusion, University stakeholders are still at a cross-road when it comes to cloud adoption, but future advances of the cloud may help to steer their decision to adopt this innovative technology given its overwhelming potential.

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.

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.

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.

Assuring Quality in Higher Education in a Confucian Collectivist Culture: The Vietnamese Experience

Quality assurance(QA)has been introduced and developed into Vietnam for almost 15 years.The importation of such a concept from other countries with different cultures may result in resistance in some ways.This study explores QA arrangements at three institutions of higher education(HE)in Vietnam,a Confucian heritage country,as perceived by academic leaders,QA practitioners,and academics to respond to QA policies from the government.The methodological approach taken in this research is a multiple case study.A qualitative approach was used to explore QA practices at three institutions.Data collected from documentation and in-depth interviews were analyzed for patterns and themes.It was found that centralism and large power distance of a Confucian collectivist country such as Vietnam significantly influenced the government’s attempts to reform HE for quality improvement.Culturally appropriate measures from the bottom level with long-term strategies should be considered to assure and improve quality,including the shift to decentralization in HE.

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.

Towards Breaking through Bottlenecks of Developing Higher Education Curriculum from the Perspective of Constructing Quality Evaluation System

With the effective measure of curriculum maturity,curriculum development of higher education makes a breakthrough in the bottleneck period,ultimately providing an external driving force for the effective study on substance of quality evaluation system in the development of higher education curriculum.The research shows that the development of higher education curriculum should make a comprehensive analysis of quality evaluation by following the principle of sustainability,which encourages the quality-oriented innovation of higher education curriculum,thus forming a substantive breakthrough in curriculum development.

Empirical Research on the Status Quo of Teachers of Common Required Courses in Vocational Higher Education Institutions

In order to build a high-quality team of teachers in vocational higher education institutions, and investigate the current situation of teachers of common required courses in vocational higher education institutions of Hainan Province, an empirical research is conducted. A questionnaire survey was carried out in aspects of satisfaction of teaching and scientific research, professional quality, work saturation and teacher’s job satisfaction. The research results shows that the professional quality of teachers of common required courses cannot significantly influence the satisfaction of teaching and scientific research;Job saturation can positively influence teaching and research satisfaction;teaching and research satisfaction can positively influence teachers’ job satisfaction.

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.

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.

Practical Strategies to Improve the Quality of Teachers in Higher Vocational Colleges in the New Era

In this paper,practical strategies are proposed to improve the quality of teachers in higher vocational colleges.Research and analyses have shown that the key to improving the quality of teachers in higher vocational colleges lies in the improvement of professionalism,subject knowledge,and teaching ability.Thus,the following practical strategies are proposed:strengthen teachers’moral development,establish a teacher training system,focus on curriculum construction and teaching method innovation,and strengthen the teaching quality monitoring and evaluation mechanism.These measures can effectively improve the quality of teachers in higher vocational colleges and promote the development of higher vocational education.