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.

Discussion on Patent Protection Management of Agricultural Institutions of Higher Learning

along with the implementation of national intellectual property strategy and the construction of an innovative country, institutions of higher learning pay more and more attention to patent. By elaborating the roles of patent protection management from five aspects and sunmarizing Sichuan Agricultural University＇ s status quo of patent management, patent policies and patent licensing in recent years, this paper discusses four problems existing in universities ＇ patent protection management and proposes corresponding countermeasures.

Research on the Financial Management of China＇s Private Higher Learning Institutions

With the deepening of China＇s reform and opening up, China＇s private higher education has got rapid development. The expanding of the scale and the updating of the educational philosophy makes the financial management of private higher learning institutions can＇t meet the developing needs of them. Through summing up the current defects existed in the financial management activities of the private higher learning institutions, this paper tries to advise the private higher learning institutions to set out their efforts on financial management foundation, financing management, investment management, budget management, financial analysis and financial supervision six aspects, standardize and optimize the financial management activities to promote the healthy development of China＇s private higher learning institutions.

Analysis of Current Situation of Fancy Rope Skipping Curriculum in Regular Institutions of Higher Learning in Sichuan Province

This paper adopts the research methods such as literature material method, questionnaire investigation method, expert interview method and mathematical statistics to investigate and study the conditions of fancy rope skipping curriculum in 22 universities in Sichuan. The research shows that the university teachers highly recognize the fancy rope skipping curriculum; construction of teaching resources should be strengthened; cultivation of the professional teaching staffs should be strengthened; in terms of teaching materials, more premium teaching materials with high pertinence and professionalism are needed; the promotion and implementation of the curriculum system of fancy rope skipping should be boosted in different steps and stages; cultivation of the professional teachers should be enlarged; related scientific research of the curriculum system of fancy rope skipping should be strengthened.

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.

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.

Research on the Optimization Path of College Counselor Team Construction in the New Era

In the new era,the team of college counselors,as an indispensable and important component of the higher education system,bears multiple responsibilities such as ideological and political education,daily student management,mental health counseling,and employment and entrepreneurship guidance.With the rapid development of society and the diversified transformation of student groups,the construction of the counselor team is facing new challenges and opportunities.In-depth research on the optimization path of the construction of the college counselor team is not only significant for improving the overall quality and work efficiency of the counselor team but also directly related to the completion effect of the fundamental task of cultivating morality and talents in colleges and universities,as well as the achievement of the goal of cultivating more high-quality talents for the country.Based on this and the author’s work experience,this paper first elaborates on the necessity of the construction of the college counselor team,and then conducts a deep analysis of its optimization path and strategy,aiming to provide a useful reference for the professionalization and professional development of the college counselor team,thereby promoting the sustainable development of higher education and the comprehensive growth of students.

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。

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

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

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.

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.

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

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

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.

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.

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.

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。

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).