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.

Study on the Ideological Education and Management Model for the Art Majors in Institutions of Higher Learning in the New Period

The ideological situation of the art majors in institutions, of higher learning has its own characteristics and needs educators to adopt the targeted ideological education and management measures, so as to promote the healthy growth and comprehensive development of the art majors. In this paper, the ideological education and managemenl model for the art majors in institutions of higher learning in the new oeriod are studied, hooing to attract more scholars to focus on this tooic.

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.

Maintain Vigilance at “Three Forgottens” in Higher Education

Institutions of higher learning occupy an important position in the development of the society and also play a vital role. In China, the institutions of higher learning have played a due role around talent training, scientific research and social service in the process of higher education, but the number of trained talents is only focused in talent training and the moral ability training is neglected. In scientific research, the number of research projects and achievements is only pursued and the ＂profound learning＂ is forgotten to pursue; institutions of higher learning excessively participate in social life and social services, but forget to abide by the limited principle to participate in social service, etc. All these problems are worthy of attention.

德国高校E-Learning发展现状研究

德国高校E-Learning的发展很不平衡。尽管国家和地方政府从政策和资金上对高校教学信息化提供了强大的支持,但各高校在E-Learning的机构设置、经费划拨等方面有很大差异,导致E-Learning在高校中的应用程度和应用水平参差不齐。除了学校相关政策外,教师使用E-Learning的动机、教师掌握的学习资源以及教师本身的媒体素养也对E-Learning的发展有着重要影响。德国高校在审慎进行E-Learning教学试点的同时,开始着手进行E-Learning校园的研究与试验。

Exploring the Potentialities of Automatic Extraction of University Webometric Information

Purpose:The main objective of this work is to show the potentialities of recently developed approaches for automatic knowledge extraction directly from the universities’websites.The information automatically extracted can be potentially updated with a frequency higher than once per year,and be safe from manipulations or misinterpretations.Moreover,this approach allows us flexibility in collecting indicators about the efficiency of universities’websites and their effectiveness in disseminating key contents.These new indicators can complement traditional indicators of scientific research(e.g.number of articles and number of citations)and teaching(e.g.number of students and graduates)by introducing further dimensions to allow new insights for“profiling”the analyzed universities.Design/methodology/approach:Webometrics relies on web mining methods and techniques to perform quantitative analyses of the web.This study implements an advanced application of the webometric approach,exploiting all the three categories of web mining:web content mining;web structure mining;web usage mining.The information to compute our indicators has been extracted from the universities’websites by using web scraping and text mining techniques.The scraped information has been stored in a NoSQL DB according to a semistructured form to allow for retrieving information efficiently by text mining techniques.This provides increased flexibility in the design of new indicators,opening the door to new types of analyses.Some data have also been collected by means of batch interrogations of search engines(Bing,www.bing.com)or from a leading provider of Web analytics(SimilarWeb,http://www.similarweb.com).The information extracted from the Web has been combined with the University structural information taken from the European Tertiary Education Register(https://eter.joanneum.at/#/home),a database collecting information on Higher Education Institutions(HEIs)at European level.All the above was used to perform a clusterization of 79 Italian universities based on structural and digital indicators.Findings:The main findings of this study concern the evaluation of the potential in digitalization of universities,in particular by presenting techniques for the automatic extraction of information from the web to build indicators of quality and impact of universities’websites.These indicators can complement traditional indicators and can be used to identify groups of universities with common features using clustering techniques working with the above indicators.Research limitations:The results reported in this study refers to Italian universities only,but the approach could be extended to other university systems abroad.Practical implications:The approach proposed in this study and its illustration on Italian universities show the usefulness of recently introduced automatic data extraction and web scraping approaches and its practical relevance for characterizing and profiling the activities of universities on the basis of their websites.The approach could be applied to other university systems.Originality/value:This work applies for the first time to university websites some recently introduced techniques for automatic knowledge extraction based on web scraping,optical character recognition and nontrivial text mining operations(Bruni&Bianchi,2020).

Study on JiangXi Province Part of Civilian Run Colleges and Universities Public Sports Teaching Present Situation and Countermeasure

The current,with the sustained and rapid development of education in our country, private colleges and universities gradually become a part of our school,it is one of the indispensable important strength of higher education front.Jiangxi Province in recent years, the pace of development of civilian run colleges and universities continue to accelerate.The emergence of this new things,comply with the requirements of the era of reform and opening up,at the same time,it also complies with the demand of talent in our country is in the rapid development of economic society,provides the necessary basic talents for local economic development.Allow all doubt,private colleges and universities in Jiangxi province has become an important part of our province education.In the private teaching at the present stage,development of public sports teaching to improve students＇ physical quality is of great significance to promote the students comprehensive development.However, some private colleges and universities sports teaching situation is not very satisfactory.This paper analyzes the current situation of Public Physical Education Teaching of private higher education in Jiangxi Province,and puts forward the corresponding reform and innovation strategy.

高校分析测试中心实验室安全管理体系的构建

高校分析测试中心是实验教学、科研和社会服务的重要场所,是大型仪器共享平台的重要基地,因此,学校对分析测试中心实验室的安全管理提出了更高的要求。文章针对分析测试中心实验室的特点及安全管理现状进行分析,从管理制度的建立、安全教育培训的强化、定期监督巡查以及应急响应体系的建立等方面去探讨分析测试中心实验室安全管理体系的构建,并提出实验室安全管理持续改进的措施,为其他高校分析测试中心实验室安全管理提供参考。

20世纪50年代高校教育系科调整的回顾与反思

高校教育系科调整是中华人民共和国成立以后改造旧高等教育的重要环节之一,是高等师范院校改革的重要组成部分。20世纪50年代高校教育系科调整主要经历了初步调整、全面布局、重构发展和独立探索四个阶段。此次调整的主要目的是为了发展新教育、提高教师的整体质量,由于受到苏联师范院校改革经验以及重新确定学科职能因素的影响,教育系科的发展模式、分布结构、职能规定和专业设置都发生了重大调整。此次调整不仅整合了教育系科发展的现有资源,奠定了中华人民共和国教育系科的发展基础,同时也形塑了当今教育系科资源的学校区域和结构上的差异性。吸取20世纪50年代系科调整的经验,高校教育系科调整应由政府主导,联系学校和地方实际需要,注重发展模式的构建和分布结构的规划,同时全面考虑职能定位、科学规范设置专业,以及重视系科建设传统的继承和发展。

基于OBE理念下高校体育“学导双行”教学模式的构建研究

大学体育肩负着促进青年全面发展、落实立德树人的重要使命。本研究采用文献法,逻辑分析等方法,以OBE(Outcome-Based Education)理念为逻辑起点,从学生学习和发展、动机与参与、品德与能力、结果与产出内涵基础上,提出“一中心,双赋能,四路径”的高校体育“学导双行”教学模式,构建学生自主学习、主动锻炼、优化指导与多维评价的实施路径,以期为高校体育课程学习目标设计、优化师生双向学习、评价学习结果产出提供体育教学模式的研究思路与方法。

教育家陈时的办学镜鉴——民办高等教育的路径探微

陈时是私立武昌中华大学的创办者,是中国近代民办高等教育的先驱。陈时在40年的办学过程中沉淀了一套宝贵的办学经验,以士志于道的使命自觉固大学之本,以业精于勤的精神建构塑大学之魂,以苞桑之固的制度磐石立大学之治,以和而不同的差异方略谋大学之特,以风不鸣条的时代气候筑大学之基。陈时的办学历程为研究中国近代民办高等教育史提供了有益参考,也为推进当今民办高校高质量发展提供了历史智慧。

高职班主任德育实践路径的优化

高职院校承担着为社会培养高素质技术技能型人才的重任,因此必须把德育工作放在首位,使培养的学生不仅掌握扎实的专业技能,还具备良好的职业道德,以满足各类企业的需求。在德育实施的过程中,班主任是主要组织者和参与者,但由于受到传统教育理念的影响,仍存在德育工作重视不够、德育能力有待提升等问题。在对高职班主任德育工作的重要性及其现状分析的基础上,探究德育工作实践路径优化策略,旨在为高职德育工作的有效开展提供参考。

高等教育赋能全民终身学习:从国际趋势到制度实践——2023年UIL关于高等教育终身学习的系列报告解读

近十年,联合国教科文组织发布终身学习系列报告,大力倡导终身学习应贯穿个人和社会整个教育过程,高等教育机构如何赋能终身学习受到普遍关注。联合国教科文组织终身学习研究所与上海开放大学自2020至2022年间面向全球90个国家399所大学开展高等教育机构对终身学习贡献的调查研究,并于2023年6月5日发布《高等教育终身学习的国际趋势》与《高等教育实施终身学习的制度实践》两篇报告。报告分别从有利于高等教育终身学习发展的政策环境、机构治理与实施、通过多样性和灵活性手段扩大高等教育终身学习途径三大方面概述当前的国际趋势,同时结合具体的案例研究,荟萃了终身学习在高等教育背景下的制度实践及经验。我国终身学习体系和学习型社会的构建已经成为必然发展趋势,解读该报告,对我国高等教育未来布局终身学习、赋能全民终身学习具有重要意义。

新形势下高校思想道德教育的路径探析

近年来,随着经济的快速发展,社会对于高校学生精神与思想层面的培育提出了更高要求。本文以加强新形势下高校思想道德教育的意义作为切入点,分析了当前高校思想道德教育面临的主要挑战。同时,基于明确教育需求、推动内容迭代、创新教育方法、加强师资建设、健全管理机制、营造积极环境等角度,对提升新形势下高校思想道德教育水平的措施进行了阐述,力求为有关教育工作者提供参考。

高等学校继续教育高质量发展理论与实践

随着社会发展和知识经济兴起,终身学习已成为现代社会中不可或缺的一部分。高等学校继续教育作为终身学习的重要方式,承担了满足社会学习需求、提升个人职业能力和推动社会进步的重要责任。高等学校继续教育是现代社会中不可或缺的教育形式,对于满足社会学习需求、促进个人职业发展和社会进步具有重要作用。高等学校继续教育的高质量发展面临诸多挑战,包括教学质量、师资队伍建设、学习资源开发和学员服务等方面。基于此,针对高等学校继续教育的高质量发展理论进行研究,并提出了相应的实践指南,有助于提升高等学校继续教育的质量和效果,促进社会学习和职业发展的全面发展。

军事高等教育院校全领域、全过程教学督导工作方法研究

新型军事人才培养对军事高等教育院校的教学督导提出更高的新要求,需要对教学督导工作方法进行相应的改革研究,以满足高质量人才培养需求。为此,该文对军事高等教育院校全领域、全过程教学督导内涵进行分析,从贯穿人才培养的全过程督导和覆盖教、学、管、保的全领域督导等方面,对教学督导工作方法进行探索研究。该研究将有助于军事高等教育院校全面督导工作开展,有力促进高素质军事人才培养,从而促进战斗力生成。

高校实施兵团精神育人工程的实践与思考

[目的]探究高校实施兵团精神育人工程的实践策略并展开相关思考。[内容]在梳理高校兵团精神育人工程育人现状的基础上提出具有针对性的优化策略,以改进、完善文化育人思路。[方法]该文以笔者相关研究经验为基础,结合高校实施兵团精神育人工程的重要价值进行具体策略的设计,并进一步围绕其中的细节元素展开思考分析。[结果]该文首先从明确精神内核、构建思想长城、树立价值观念三个角度阐明高校实施兵团精神育人工程的重要价值,以此为基础设计挖掘文化元素、营造德育氛围、丰富实践形式、活用信息技术四个层面的实践策略,进而围绕内容与形式、方法与需求两个角度展开细节思考。[结论]高校实施兵团精神育人工程契合当下的教育教学发展趋势,相关实践策略的设计与实践具有极为广阔的拓展空间。

在高校思想政治教育中融入红色廉政文化的育人功能和实现路径

文章旨在研究如何利用红色廉政文化来提升大学生的思政教育的成效及其实现途径。首先,文章解释了红色廉政文化的定义,包括其具有政治属性、具有革命特质、体现先进意蕴、富有精神品格。其次,文章探讨了红色廉政文化在高校思想政治教育中的育人功能,包括有利于大学生对优秀文化的坚定、对道德教化的塑造以及对担当意识的强化等方面的作用。最后,文章提出了红色廉政文化融入高校思想政治教育的有效路径,即构建红色廉政文化专题教育体系、加强红色廉政文化师资队伍建设、开展红色廉政文化专题实践活动和营造红色廉政文化校园环境氛围。