In recent decades, acupuncture has been used more widely and extensively in the United States （U.S.）. However, there have been no national surveys or analyses reported in academic journals on the number of practicin...In recent decades, acupuncture has been used more widely and extensively in the United States （U.S.）. However, there have been no national surveys or analyses reported in academic journals on the number of practicing or licensed acupuncturists, This study was conducted to identify the approximate number of licensed acupuncturists active in 2015. The Board of Acupuncture or Board of Medicine in each state or U.S. territory was contacted to collect data, Online license information searching was also performed in order to get accurate numbers of licensed acupuncturists for those states in which a board was unable to be contacted. The study found that the number of licensed acupuncturists in 2015 in the U,S, was 34,481. Of this, more than 50% were licensed in three states alone： California （32.39%）, New York （11,89%） and Florida （7.06%）. The number of licensed acupuncturists increased 23.30% and 52.09%, compared to the year 2009 （n = 27,965） and 2004 （n = 22,671）, respectively; increasing about 1,266 per year. There were 62 and 10 accredited acupuncture institutions providing master and doctoral degrees, respectively. The West Coast comprised 51.39% of degree granting programs, while the East Coast comprised 29.17%; together the coastal states housed more than 80% of all programs, with the remainder sprinkled across the southern （9.72%）, northern （8.33%）, and the middle/central states （1.39%）. Forty-four states and the District of Columbia regulated acupuncture practice by law at the time of data collection. Acupuncture continues to be a quickly growing profession in the U.S,展开更多
This study was conducted to identify the number and density of active licensed acupuncturists(LAcs),as well as the number of accredited schools in acupuncture and Oriental medicine(AOM),as of January 1,2023,in the Uni...This study was conducted to identify the number and density of active licensed acupuncturists(LAcs),as well as the number of accredited schools in acupuncture and Oriental medicine(AOM),as of January 1,2023,in the United States(U.S.).The number of active LAcs as of January 1,2023 was 34,524,potentially33,364 after removing license duplication in multiple states,among which the largest three states were California(with 7317 LAcs[21.19%of the total]),New York(5024[14.55%])and Florida(2644[7.66%]).The total number of LAcs decreased by 8.87%from 2018,and fell short of our projected number of LAcs in 2023 by 9037,or 20.75%.The overall LAc density in the U.S.Dmeasured as the number of LAcs per 100,000 populationDwas 10.36,less than in 2018.There were 56 active,accredited AOM schools which offered a total of 147 programs(121 at the level necessary for licensing[entry-level],12 for an advanced practicing degree[advanced-level],and 14 for certifications).Broken down further,offerings included 50 master's degrees in acupuncture,40 master's degrees in Oriental medicine,31 entry-level doctorate degrees(10 in acupuncture and 21 in acupuncture plus Chinese herbal medicine),and 12advanced-level doctorate degrees in AOM.The certification programs included one in East-Asian Medical Bodywork and 13 in CHM.Among these schools in 2023,institutions in the West and East Coast states comprised 67.86%(decreased from 77.42%in 2018)of the national total.California,Florida and Illinois represented 39.29%.There were 48 jurisdictions with acupuncture practice laws in place.The data suggests that the acupuncture profession in the U.S.has been significantly impacted during the coronavirus disease 2019 pandemic.展开更多
Security evaluation and management has become increasingly important for Web-based information technology(IT)systems,especially for educational institutions.For the security evaluation and management of IT systems in ...Security evaluation and management has become increasingly important for Web-based information technology(IT)systems,especially for educational institutions.For the security evaluation and management of IT systems in educational institutions,determining the security level for a single IT system has been well developed.However,it is still dificult to evaluate the information security level of the entire educational institution consid-ering multiple IT systems,because there might be too many different IT systems in one institution,educational institutions can be very different,and there is no standard model or method to provide a just ifable information security evaluation among different educational inst itutions considering their differences.In light of these difi-culties,a security evaluation model of educational institutions'IT systems(SEMEIS)is proposed in this work to facilitate the information security management for the educat ional institutions.Firstly,a simplified educational industry information system security level protection rating(EIISSLPR)with a new weight redistribution strategy for a single IT systern is proposed by choosing important evaluation questions from EIISSLPR and redistributing the weights of these questions.Then for the entire educational institution,analytic hierarchy process(AHP)is used to redistribute the weights of multiple IT systems at different security levels.considering the risk of pos-sible network security vulnerabilities,a risk index is forulated by weighting different factors,normalized by a utility function,and calculated with the real data collected from the institutions under the evaluation.Finally,the information security performance of educational institutions is obtained as the final score from SEMEIS.The results show that SEMEIS can evaluate the security level of the educat ion institutions practically and provide an efficient and effective management tool for the information security management.展开更多
Ideological and political education in higher education institutions is currently facing the practical challenge of discourse transformation.Traditional theoretical indoctrination models are unable to effectively alig...Ideological and political education in higher education institutions is currently facing the practical challenge of discourse transformation.Traditional theoretical indoctrination models are unable to effectively align with the cognitive characteristics and acceptance habits of young people.With the profound changes in the media ecosystem,the ideological and political discourse system urgently needs to transition from a one-way communication model to an interactive dialogue model.This paper focuses on the bidirectional construction logic of“concise extraction”and“concise dissemination,”revealing the innovative characteristics of the ideological and political discourse system in content creation,dissemination methods,and talent cultivation mechanisms under the new era.It provides new theoretical perspectives and practical reference frameworks for addressing the challenges of insufficient effectiveness in ideological and political education.展开更多
This scoping review aimed to explore the nature and structure of Student Counselling and Development Units(SCDUs)in Africa towards a better understanding of the role they play in African Higher Education Institutions(...This scoping review aimed to explore the nature and structure of Student Counselling and Development Units(SCDUs)in Africa towards a better understanding of the role they play in African Higher Education Institutions(HEIs).A comprehensive literature search of ten years(2015-2025)on five electronic databases was conducted.Titles and abstracts were screened,and full articles examined,resulting in 23 studies meeting the inclusion criteria.Using thematic analysis,five main overarching themes were identified:(i)the scope and focus of services in SCDUs,(ii)multidisciplinary teams,(iii)approaches to service provision,(iv)challenges in providing effective support,and(v)adaptability of SCDUs.These themes highlighted that SCDUs offer a multidimensional range of support services and adopt systems-based frameworks.Moreover,they face significant challenges,including limited resources,poor service utilization,and the need for culturally sensitive practices.Conversely,a major strength is their adaptability of implementing online and blended service delivery models.展开更多
The main purpose of this study was to determine the validation of construct and reliability of the image instrument in educational institutions. A non-random sample selection of 314 high school students from Montemore...The main purpose of this study was to determine the validation of construct and reliability of the image instrument in educational institutions. A non-random sample selection of 314 high school students from Montemorelos, Nuevo Leon was made. An instrument with 25 statements was created to measure the image of The University of Montemorelos （reliability a = 0.956）. The methodologies that were utilized in the validation were factorial analysis and confirmatory analysis, with the latter made with structural equations. In the factorial analysis, it was observed that the statements were grouped into four dimensions, as it was initially planned. With the exception of one item, all the other statements were grouped in the proposed dimension. In the confirmatory validation utilizing structural equations, all the selected criteria were fulfilled.展开更多
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. Howe...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.展开更多
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 th...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.展开更多
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 serv...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.展开更多
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 energy...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.展开更多
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 cybersecurit...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.展开更多
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...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，展开更多
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 ca...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.展开更多
This invited paper reviews recent initiatives in teaching about randomized field trials at the graduate level in education research. Reports in a book on randomized trials by Mosteller and Boruch are used as a benchma...This invited paper reviews recent initiatives in teaching about randomized field trials at the graduate level in education research. Reports in a book on randomized trials by Mosteller and Boruch are used as a benchmark. The initiatives have been driven heavily by recent governmental emphasis on ＂evidence based policy＂ in education, criminology, welfare and other sectors. This policy has been backed, in the US at least, by substantial investments in mounting randomized controlled trials to evaluate curriculum packages and programs in grades K-12, crime prevention programs, welfare, and other work. Accelerated growth in randomized trials has entailed cross discipline pre-doctoral and post-doctoral institutes and graduate education programs aimed at enhancing the quality in trial design, execution, and analysis of results. Specific illustrations of graduate education in this area of statistics are taken mainly from experience at the University of Pennsylvania＇s Graduate School of Education and selected other institutions.展开更多
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,th...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.展开更多
Marxist philosophy is an important indicator of human thought in the process of modern social development,and it is also the theoretical and spiritual support of socialism with Chinese characteristics.With the develop...Marxist philosophy is an important indicator of human thought in the process of modern social development,and it is also the theoretical and spiritual support of socialism with Chinese characteristics.With the development and progress of the times,Marxist philosophical theory has gradually integrated the ideas and thinking of the new era,becoming a good medicine to guide the spiritual development of college students.So,as an important political philosophy course offered by higher education institutions,how to effectively achieve the reform and development of Marxist philosophy teaching courses has become a key entry point for higher education institutions to achieve high-quality talent cultivation and implement the goal of moral education and talent development.This article mainly analyzes the curriculum connotation and characteristics of Marxist philosophy in higher education institutions,and explores the teaching reform path of Marxist philosophy in higher education institutions,hoping to provide reference opinions for promoting the improvement of talent education level in higher education institutions.展开更多
This study aimed to quantify the carbon footprint of the National University of Juliaca(UNAJ)for the year 2023,in order to identify the main sources of greenhouse gas(GHG)emissions and provide a foundation for impleme...This study aimed to quantify the carbon footprint of the National University of Juliaca(UNAJ)for the year 2023,in order to identify the main sources of greenhouse gas(GHG)emissions and provide a foundation for implementing sustainable policies.The methodology was based on the greenhouse gas inventory approach outlined in ISO 14064-1,applying the operational control method to measure both direct and indirect emissions.Data on energy consumption,transportation,and purchased goods and services were collected using digital tools and surveys,and emissions were calculated in metric tons of CO_(2)equivalent(tCO_(2)e).The results indicate that UNAJ’s total carbon footprint in 2023 was 1,461.03 tCO_(2)e,with per capita emissions of 0.47 tCO_(2)e per person.The main sources of emissions were transportation,accounting for 75.88%of total emissions,followed by the consumption of goods and services(14.29%)and energy use(5.12%).Despite limitations in solid waste management,the study makes a valuable contribution to the development of sustainability strategies,emphasizing the urgent need for sustainable mobility policies,energy efficiency measures,and the adoption of responsible procurement practices.Furthermore,it highlights the importance of achieving carbon neutrality at UNAJ as a key objective in mitigating its environmental impact.The findings provide relevant insights from the Peruvian context and offer a basis for analyzing emissions at local universities,with practical implications for enhancing environmental management in higher education institutions.展开更多
The current system of Chinese medicine education is centered on institutional education,teacher-training education,and continuing education,and it has realized the dynamic match between the supply of talents and the d...The current system of Chinese medicine education is centered on institutional education,teacher-training education,and continuing education,and it has realized the dynamic match between the supply of talents and the demand of the industry through large-scale cultivation,innovative teacher-training integration,and multi-dimensional continuing education.However,there are still problems such as the disconnection between the theory and practice of institutional education,the limited development of teacher-training education on a large scale,the uneven quality of continuing education,the conflict of combined education of traditional Chinese medicine and Western medicine,and the obstruction of internationalized education.This paper proposes to reconstruct the institutional curriculum system,innovate the stratified classification system of teacher training,strengthen the practice orientation of continuing education,promote the in-depth integration of Chinese and Western medicine,and improve the policy guarantee mechanism,and other improvement paths,aiming to build a new type of Chinese medicine personnel training system that emphasizes both classical inheritance and modern innovation,and the complementarity between institutional education and teacher training,so as to provide a decision-making reference for the sustainable development of Chinese medicine education.展开更多
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 ...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.展开更多
文摘In recent decades, acupuncture has been used more widely and extensively in the United States （U.S.）. However, there have been no national surveys or analyses reported in academic journals on the number of practicing or licensed acupuncturists, This study was conducted to identify the approximate number of licensed acupuncturists active in 2015. The Board of Acupuncture or Board of Medicine in each state or U.S. territory was contacted to collect data, Online license information searching was also performed in order to get accurate numbers of licensed acupuncturists for those states in which a board was unable to be contacted. The study found that the number of licensed acupuncturists in 2015 in the U,S, was 34,481. Of this, more than 50% were licensed in three states alone： California （32.39%）, New York （11,89%） and Florida （7.06%）. The number of licensed acupuncturists increased 23.30% and 52.09%, compared to the year 2009 （n = 27,965） and 2004 （n = 22,671）, respectively; increasing about 1,266 per year. There were 62 and 10 accredited acupuncture institutions providing master and doctoral degrees, respectively. The West Coast comprised 51.39% of degree granting programs, while the East Coast comprised 29.17%; together the coastal states housed more than 80% of all programs, with the remainder sprinkled across the southern （9.72%）, northern （8.33%）, and the middle/central states （1.39%）. Forty-four states and the District of Columbia regulated acupuncture practice by law at the time of data collection. Acupuncture continues to be a quickly growing profession in the U.S,
文摘This study was conducted to identify the number and density of active licensed acupuncturists(LAcs),as well as the number of accredited schools in acupuncture and Oriental medicine(AOM),as of January 1,2023,in the United States(U.S.).The number of active LAcs as of January 1,2023 was 34,524,potentially33,364 after removing license duplication in multiple states,among which the largest three states were California(with 7317 LAcs[21.19%of the total]),New York(5024[14.55%])and Florida(2644[7.66%]).The total number of LAcs decreased by 8.87%from 2018,and fell short of our projected number of LAcs in 2023 by 9037,or 20.75%.The overall LAc density in the U.S.Dmeasured as the number of LAcs per 100,000 populationDwas 10.36,less than in 2018.There were 56 active,accredited AOM schools which offered a total of 147 programs(121 at the level necessary for licensing[entry-level],12 for an advanced practicing degree[advanced-level],and 14 for certifications).Broken down further,offerings included 50 master's degrees in acupuncture,40 master's degrees in Oriental medicine,31 entry-level doctorate degrees(10 in acupuncture and 21 in acupuncture plus Chinese herbal medicine),and 12advanced-level doctorate degrees in AOM.The certification programs included one in East-Asian Medical Bodywork and 13 in CHM.Among these schools in 2023,institutions in the West and East Coast states comprised 67.86%(decreased from 77.42%in 2018)of the national total.California,Florida and Illinois represented 39.29%.There were 48 jurisdictions with acupuncture practice laws in place.The data suggests that the acupuncture profession in the U.S.has been significantly impacted during the coronavirus disease 2019 pandemic.
基金the Science and Technology Innovation Program of Shanghai Science and Technology Commit-tee(No.19511103500)。
文摘Security evaluation and management has become increasingly important for Web-based information technology(IT)systems,especially for educational institutions.For the security evaluation and management of IT systems in educational institutions,determining the security level for a single IT system has been well developed.However,it is still dificult to evaluate the information security level of the entire educational institution consid-ering multiple IT systems,because there might be too many different IT systems in one institution,educational institutions can be very different,and there is no standard model or method to provide a just ifable information security evaluation among different educational inst itutions considering their differences.In light of these difi-culties,a security evaluation model of educational institutions'IT systems(SEMEIS)is proposed in this work to facilitate the information security management for the educat ional institutions.Firstly,a simplified educational industry information system security level protection rating(EIISSLPR)with a new weight redistribution strategy for a single IT systern is proposed by choosing important evaluation questions from EIISSLPR and redistributing the weights of these questions.Then for the entire educational institution,analytic hierarchy process(AHP)is used to redistribute the weights of multiple IT systems at different security levels.considering the risk of pos-sible network security vulnerabilities,a risk index is forulated by weighting different factors,normalized by a utility function,and calculated with the real data collected from the institutions under the evaluation.Finally,the information security performance of educational institutions is obtained as the final score from SEMEIS.The results show that SEMEIS can evaluate the security level of the educat ion institutions practically and provide an efficient and effective management tool for the information security management.
文摘Ideological and political education in higher education institutions is currently facing the practical challenge of discourse transformation.Traditional theoretical indoctrination models are unable to effectively align with the cognitive characteristics and acceptance habits of young people.With the profound changes in the media ecosystem,the ideological and political discourse system urgently needs to transition from a one-way communication model to an interactive dialogue model.This paper focuses on the bidirectional construction logic of“concise extraction”and“concise dissemination,”revealing the innovative characteristics of the ideological and political discourse system in content creation,dissemination methods,and talent cultivation mechanisms under the new era.It provides new theoretical perspectives and practical reference frameworks for addressing the challenges of insufficient effectiveness in ideological and political education.
文摘This scoping review aimed to explore the nature and structure of Student Counselling and Development Units(SCDUs)in Africa towards a better understanding of the role they play in African Higher Education Institutions(HEIs).A comprehensive literature search of ten years(2015-2025)on five electronic databases was conducted.Titles and abstracts were screened,and full articles examined,resulting in 23 studies meeting the inclusion criteria.Using thematic analysis,five main overarching themes were identified:(i)the scope and focus of services in SCDUs,(ii)multidisciplinary teams,(iii)approaches to service provision,(iv)challenges in providing effective support,and(v)adaptability of SCDUs.These themes highlighted that SCDUs offer a multidimensional range of support services and adopt systems-based frameworks.Moreover,they face significant challenges,including limited resources,poor service utilization,and the need for culturally sensitive practices.Conversely,a major strength is their adaptability of implementing online and blended service delivery models.
文摘The main purpose of this study was to determine the validation of construct and reliability of the image instrument in educational institutions. A non-random sample selection of 314 high school students from Montemorelos, Nuevo Leon was made. An instrument with 25 statements was created to measure the image of The University of Montemorelos （reliability a = 0.956）. The methodologies that were utilized in the validation were factorial analysis and confirmatory analysis, with the latter made with structural equations. In the factorial analysis, it was observed that the statements were grouped into four dimensions, as it was initially planned. With the exception of one item, all the other statements were grouped in the proposed dimension. In the confirmatory validation utilizing structural equations, all the selected criteria were fulfilled.
文摘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.
基金support of the European Commission ETER Project (No. 934533-2017-AO8-CH)H2020 RISIS 2 project (No. 824091)。
文摘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.
基金The authors extend their appreciation to the Deputyship for Research&Innovation,Ministry of Education in Saudi Arabia for funding this research work through the project number(IFPRC-154-611-2020)and King Abdulaziz University,DSR,Jeddah,Saudi Arabia.
文摘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.
基金This research is funded by Neurocomputation Lab, National Center ofArtificial Intelligence, NED University of Engineering and Technology, Karachi, 75270, Pakistan(PSDP.263/2017-18).
文摘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.
基金The authors extend their appreciation to the Deputyship for Research&Innovation,Ministry of Education in Saudi Arabia for funding this research work through the Project Number(IFPRC-154-611-2020)and King Abdulaziz University,DSR,Jeddah,Saudi Arabia.
文摘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.
文摘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，
文摘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.
文摘This invited paper reviews recent initiatives in teaching about randomized field trials at the graduate level in education research. Reports in a book on randomized trials by Mosteller and Boruch are used as a benchmark. The initiatives have been driven heavily by recent governmental emphasis on ＂evidence based policy＂ in education, criminology, welfare and other sectors. This policy has been backed, in the US at least, by substantial investments in mounting randomized controlled trials to evaluate curriculum packages and programs in grades K-12, crime prevention programs, welfare, and other work. Accelerated growth in randomized trials has entailed cross discipline pre-doctoral and post-doctoral institutes and graduate education programs aimed at enhancing the quality in trial design, execution, and analysis of results. Specific illustrations of graduate education in this area of statistics are taken mainly from experience at the University of Pennsylvania＇s Graduate School of Education and selected other institutions.
文摘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.
基金Research on ideological and Political Theory course in Philosophy and Social Science Planning of Henan Province in 2022 Special project:The spirit of Chinese Communists is integrated into the teaching and research of ideological and political courses in colleges and universities Project approval number:2022ZSZ080。
文摘Marxist philosophy is an important indicator of human thought in the process of modern social development,and it is also the theoretical and spiritual support of socialism with Chinese characteristics.With the development and progress of the times,Marxist philosophical theory has gradually integrated the ideas and thinking of the new era,becoming a good medicine to guide the spiritual development of college students.So,as an important political philosophy course offered by higher education institutions,how to effectively achieve the reform and development of Marxist philosophy teaching courses has become a key entry point for higher education institutions to achieve high-quality talent cultivation and implement the goal of moral education and talent development.This article mainly analyzes the curriculum connotation and characteristics of Marxist philosophy in higher education institutions,and explores the teaching reform path of Marxist philosophy in higher education institutions,hoping to provide reference opinions for promoting the improvement of talent education level in higher education institutions.
文摘This study aimed to quantify the carbon footprint of the National University of Juliaca(UNAJ)for the year 2023,in order to identify the main sources of greenhouse gas(GHG)emissions and provide a foundation for implementing sustainable policies.The methodology was based on the greenhouse gas inventory approach outlined in ISO 14064-1,applying the operational control method to measure both direct and indirect emissions.Data on energy consumption,transportation,and purchased goods and services were collected using digital tools and surveys,and emissions were calculated in metric tons of CO_(2)equivalent(tCO_(2)e).The results indicate that UNAJ’s total carbon footprint in 2023 was 1,461.03 tCO_(2)e,with per capita emissions of 0.47 tCO_(2)e per person.The main sources of emissions were transportation,accounting for 75.88%of total emissions,followed by the consumption of goods and services(14.29%)and energy use(5.12%).Despite limitations in solid waste management,the study makes a valuable contribution to the development of sustainability strategies,emphasizing the urgent need for sustainable mobility policies,energy efficiency measures,and the adoption of responsible procurement practices.Furthermore,it highlights the importance of achieving carbon neutrality at UNAJ as a key objective in mitigating its environmental impact.The findings provide relevant insights from the Peruvian context and offer a basis for analyzing emissions at local universities,with practical implications for enhancing environmental management in higher education institutions.
基金Yunnan 046 Key Laboratory of Yi Dai Medicine and Yi Medicine(2024SS24046)。
文摘The current system of Chinese medicine education is centered on institutional education,teacher-training education,and continuing education,and it has realized the dynamic match between the supply of talents and the demand of the industry through large-scale cultivation,innovative teacher-training integration,and multi-dimensional continuing education.However,there are still problems such as the disconnection between the theory and practice of institutional education,the limited development of teacher-training education on a large scale,the uneven quality of continuing education,the conflict of combined education of traditional Chinese medicine and Western medicine,and the obstruction of internationalized education.This paper proposes to reconstruct the institutional curriculum system,innovate the stratified classification system of teacher training,strengthen the practice orientation of continuing education,promote the in-depth integration of Chinese and Western medicine,and improve the policy guarantee mechanism,and other improvement paths,aiming to build a new type of Chinese medicine personnel training system that emphasizes both classical inheritance and modern innovation,and the complementarity between institutional education and teacher training,so as to provide a decision-making reference for the sustainable development of Chinese medicine education.
文摘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.
