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.

An Exploration of a New Running Mode of Equipment Management for Institutions of Higher Learning

With the great changes in China's economic mechanism, the present running modes of equipment management at most institutions of higher learning are becoming less and less effective and efficient. Being fully aware of the common problems and their characteristics, this paper proposes a new running mode which aims at these problems' permanent resolution. It involves (1) Systems such as renting, competition and paid services are to be introduced to the campus, in order to effectively associate duty with interest. (2) The present managerial pattern is to be replaced by a new running network, in which all the links cooperate with as well as restrain each other. Such a mode focuses on the “two mechanisms and four patterns,”that is, to rely on the stimulative mechanism and restraint mechanism, and to enforce such patterns as centralized management and application centralized management and common application, opening to public use, and renting and borrowing. Through persistent exploration of the inner potential of the institutions, the ratio of investment and economic efficiency will accordingly be elevated.

Concept and Feasibility of Offering Human Rights Courses in China's Institutions of Higher Learning

Doubtlessly, the term ＂human rights＂ has become a world language in the 21st century. China has written ＂The state respects and protects human rights＂ into its constitution, thus opening up a new period of constitutional construction and human rights cause. This great term ＂human rights＂ does not only contain specific rights that can be put into practice but also carry dignity, equality, freedom and other value systems and moral requirements.

TheFocaIPointsoftheInstitutesofInternaIFinanciaIControIinHigherLearning

高校内部财务控制在实施过程中存在许多值得关注的问题,如何在现行复杂多变的经济环境中设计出一套科学合理有效的内部财务控制体系,事关高校改革与发展。本文从货币资金、筹资与对外投资、采购与付款、工程项目、预算外收入、经费支出以及科研经费管理等方面作了比较深入的探讨,以期对我国高校内部财务控制设计有所帮助。

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.

A Study on Application of Translation and Communicative Methods in German Language Education in Higher Learning Institutes

With the continuous development of national‘reforms and opening-up’policy and development of economic globalization,learning and application of foreign languages are becoming increasingly important.Society needs a large number of professional linguistic workers.Therefore,there are higher requirements for new era higher learning institutes which serve as training base for cultivating linguistic talents.Linguistic talents must possess very strong overall quality and skill to meet these requirements.In this context,this study carried out an in-depth analysis and research on translation method commonly used in German language teaching,and communicative method which is increasingly popular in recent years,to contribute to cultivation of German linguistic talents in higher learning institutes of China.

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.

混合学习(Blended Learning)教学模式研究

混合学习(Blended learning)作为大学英语教学一种新的教学模式,强调实现传统以教为中心的优势和以学为中心教学模式的优势相结合,实现了传统教学模式和多媒体网络化教学模式的融合。结合江苏大学教学改革的实践经验,采用问卷调查方式分析了教师在适应新的教学环境中所遇到问题的原因,结果表明:教师对Blended Learning的教学模式有较高的认同感,愿意采用这种教学模式积极进行教学活动。因此,要改变教学理念和提高教学能力,必须强化学术意识、注重教学研究;强化角色意识,践行"学教兼重"的教学理念;强化创新意识,改变传统教学方法;强化现代教育技术,营造新型教学环境。

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。

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.

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.

基于信息技术的物理化学实验教学研究与实践

物理化学实验是本科高校化工类专业普遍开设的一门基础必修课程,文章针对该课程传统的教学方法存在的问题,从可视化实验教学、专业计算机软件的应用、虚拟仿真教学、线上辅助教学四个方面进行了分析与探讨,提出了充分利用现代信息技术的优势,进一步优化教学方法等措施,提高了教师团队的专业教学水平,调动了学生的学习积极性,拓宽了学生的知识面,增强了分析和解决专业问题的能力。

高校有组织科研:形成要素、实施困境及路径对策

有组织科研已成为高校深入推进“双一流”建设、承担五大基本职能的关键内容。高校加强有组织科研,必须准确把握其形成要素,科学认识其功能定位。从国际、国内高校推进有组织科研的实践来看,积累了一些可供参考的经验,形成了一些共性的特点,但也仍然存在使命导向的价值理念尚未深入人心、现有科研管理机制存在障碍、评价体系还没有形成等现实困境。不同类型高校在推进有组织科研路径上存在较大差异,就行业特色高校而言,要加强有组织科研战略谋划、明确主攻方向,创新有组织科研运营机制、实行颠覆性改革,推动学科交叉体系建设、凝练学科优势,优化科研资源分配形式、集中优势资源,突出战略科学家的主导地位、培育创新人才,重构科研成果评价体系、破除恶性竞争。