Learning in higher education by European Framework projects Laurea's study module: “International innovation work of information systems”

2015 ◽  
Author(s):  
Jyri Rajamaki
Keyword(s):  
Higher Education ◽  
Information Systems

Cyber Security Analysis of Academic Services based on Domain Delivery Services and Support using Indonesian E-Government Ratings (PEGI)

2020 ◽  
pp. 263-270
Author(s):  
Imam Riadi ◽  
Iwan Tti Riyadi Yanto ◽  
Eko Handoyo
Keyword(s):  
Higher Education ◽  
Information Systems ◽  
Information Service ◽  
Information Services ◽  
Security Evaluation ◽  
Security Level ◽  
Framework Analysis ◽  
Academic Information ◽  
Education Academic ◽  
Academic Services

Safe academic services are the most important part of universities. The security of academic services is very important to maintain information optimally and safely. Along with the development of technology, academic information services are often misused by some irresponsible parties that can cause threats. To prevent these things from happening, it is necessary to know the extent of governance of higher education academic information system security by evaluating. So the research was conducted to determine the maturity of the security of Higher Education academic information service security by using the COBIT 5 framework in the DSS05 domain. The DSS05 domain in COBIT 5 is a good framework for use in implementing and evaluating the security of academic information services. Meanwhile, to determine the achievement of the evaluation of the security level of academic information systems, the Indonesian e-government ranking (PEGI) method is required. The combination of the COBIT 5 framework in the DSS05 domain using the PEGI method in academic information security service is able to provide a level of achievement in the form of Customer Value. The results of the COBIT 5 framework analysis of the DSS05 domain using the PEGI method get a score of 3.50 so that the quality of academic information service security evaluation achievement is at a very good level. At this level, universities are increasingly open to technological development. Higher education has applied the concept of quantification in every process, and has always been monitored and controlled for its performance in the security of academic information systems.

scholarly journals Design of social media-based information systems for higher education alumni

2021 ◽  
Vol 1098 (5) ◽  
pp. 052111
Author(s):  
P W Yunanto ◽  
M Nugraheni ◽  
D Handayani ◽  
R Wicaksono
Keyword(s):  
Higher Education ◽  
Social Media ◽  
Information Systems

scholarly journals Assessing the success behind the use of education management information systems in higher education

2019 ◽  
Vol 38 ◽  
pp. 182-193 ◽  
Author(s):  
José Martins ◽  
Frederico Branco ◽  
Ramiro Gonçalves ◽  
Manuel Au-Yong-Oliveira ◽  
Tiago Oliveira ◽  
...  
Keyword(s):  
Higher Education ◽  
Information Systems ◽  
Management Information Systems ◽  
Management Information ◽  
Education Management

scholarly journals The Effect of Perceived Factors of Decision Support Systems on Actual Usage: Behavioral Intention of Using Decision Support Systems as a Mediating Variable: “An Empirical Study of Jordanian Higher Education Institutions”

2016 ◽  
Vol 12 (1) ◽  
pp. 201
Author(s):  
Bilal Mohammed Salem Al-Momani
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Behavioral Intention ◽  
Support Systems ◽  
Higher Education Institutions ◽  
Quality Of Information

Decision support systems (DSS) are interactive computer-based systems that provide information, modeling, and manipulation of data. DSS are clearly knowledge-based information systems to capture, Processing and analysis of information affecting or aims to influence the decision making process, performed by people in scope professional job appointed by a user. Hence, this study describes briefly the key concepts of decision support systems such as perceived factors with a focus on quality  of information systems and quality of information variables, behavioral intention of using DSS, and actual DSS use by adopting and extending the technology acceptance model (TAM) of Davis (1989); and Davis, Bagozzi and Warshaw (1989).There are two main goals, which stimulate the study. The first goal is to combine Perceived DSS factors and behavioral intention to use DSS from both the social perspective and a technology perspective with regard to actual DSS usage, and an experimental test of relations provide strategic locations to organizations and providing indicators that should help them manage their DSS effectiveness. Managers face the dilemma in choosing and focusing on most important factors which contributing to the positive behavioral intention of use DSS by the decision makers, which, in turn, could contribute positively in the actual DSS usage by them and other users to effectively solve organizational problems. Hence, this study presents a model which should provide the useful tool for top management in the higher education institutions- in particular-to understand the factors that determine using behaviors for designing proactive interventions and to motivate the acceptance of TAM in order to use the DSS in a way that contributes to the higher education decision-making plan and IT policy.To accomplish or attain the above mentioned objectives, the researcher developed a research instrument (questionnaire) and distributed it amongst the higher education institutions in Jordan to collect data in order to empirically study hypothesis testing (related to the objectives of study). 341 questionnaires were returned from the study respondents. Data were analyzed by utilizing both SPSS (conducted descriptive analysis) and AMOS (conducting structural equation modelling).Findings of the study indicate that some hypotheses were supported while the others were not. Contributions of the study were presented. In addition, the researcher presented some recommendations. Finally, this study has identified opportunities for further study which has progressed greatly advanced understanding constantly of DSS usage, that can help formulate powerful strategies Involving differentiation between DSS perceived factors.

scholarly journals Directions of higher library education modernization in China

2021 ◽  
pp. 89-98
Author(s):  
A. Humenchuk
Keyword(s):  
Higher Education ◽  
Information Systems ◽  
Information Management ◽  
Information Science ◽  
Educational Programs ◽  
Library Science ◽  
Science Program ◽  
Information Market ◽  
Chinese Universities ◽  
Study Results

The purpose of the article is to explore the experience and to identify the best practices for modernizing the content and organizational structure of multilevel training of librarians in China. The methodology. The study has used a systematic approach, which allowed to consider all components of the Chinese higher education in the specialties “Library, Archive and Information Science”, to establish the continuity of educational levels of librarians, to find out the factors determining the training system’s modernization. There was carried out comparative and content analysis of the Bachelor’s, Master’s and Doctoral higher education levels educational programs, implemented by Chinese universities in the specialty “Library Science”, “Information Management and Information Systems”. This allowed to determine the general and the specifics of the Information Field Science training in the People’s Republic of China (PRC), to establish interdisciplinarity educational components, to substantiate the objective strengthening of the information component in the content of higher education in library science. The results. The article has looked into the content and structure of 227 different levels educational programs (EP) of the information specialists training, with 41% of them being the Bachelor’s level EP, 49% — Master’s, and 9% — Educational-Scientific Programs (ESP) for the Doctor of Management degree (an equivalent to the Doctor of Philosophy) in Information Sciences, provided in 108 universities in China. There were clarified the EP peculiarities: about 40% of them are programs dedicated to Information Management and Information Systems (Program in Information Management & Information Systems); 35% — EP in Library Science (Program in Library Science); 31.5% — EP in Archive Science (Program in Archive Science). In terms of content, most EPs are interdisciplinary, which is due to the national information infrastructure digitalization and the focus of its components to support the basic technological processes of the information management life cycle. It is established that Chinese universities adhere to the IFLA Guidelines for Professional Library and Information Science (LIS) Educational Programs. The scientific topicality. It is substantiated that in the digital information market the content of modern librarian training should be updated with such relevant interdisciplinary educational components as: “Principles of competitive intelligence and artificial intelligence”, “Electronic library and consolidated information management”, “Intelligent control systems”, “Information security systems”, “Economics of Management and Information Industry”, “Methods of data mining”, “Knowledge extraction and management”, “Analysis and design of information systems”. The practical significance. Ukrainian institutions of higher education when improving educational programs in the can use the study results. Addressing to the best foreign practices of the library specialists training will allow increasing their competitiveness in the world information market and promoting better efficiency of the Ukrainian libraries work in the conditions of the society digitalization.

scholarly journals IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING METHOD IN THE DETERMINATION SYSTEM OF THESIS SUPERVISOR

2021 ◽  
Vol 23 (2) ◽  
pp. 133-141
Author(s):  
Renny Puspita Sari ◽  
Ferdy Febriyanto ◽  
Ibnur Rusi
Keyword(s):  
Higher Education ◽  
Information Systems ◽  
Higher Education Institutions ◽  
Natural Sciences ◽  
Weighting Method ◽  
Weight Value ◽  
Determination System ◽  
Simple Additive Weighting

Majors are part of higher education institutions that a very important role determining the thesis student supervisor . At the Department of Information Systems, Faculty of Mathematics and Natural Sciences (MIPA) the determination of the thesis supervisor is carried out through a lecturer meeting based on its title in accordance with the competence of the lecturer who will guide, regardless of the number of lecturers' workload or the number of students being supervised. The results of the decision of the meeting to determine the supervisors will be announced to students after the meeting is held. This flow inefficient and may lead to ineffective determination of the supervisor . The final result of the system shows that the Simple Additive Weighting (SAW) method can be applied to determine the weight value of each attribute so as to produce a ranking of each alternative lecture who will be selected as a student supervisor for the thesis according to the result of computerized and accurate calculations.

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