E-LEARNING AS PART OF ACADEMIC INFORMATION SYSTEMS AT HIGHER EDUCATION INSTITUTIONS

2018 ◽  
Author(s):  
Zuzana Stofkova ◽  
Elena Novakova
Keyword(s):  
Higher Education ◽  
Information Systems ◽  
Higher Education Institutions ◽  
E Learning ◽  
Academic Information

Students’ Views of E-Learning

2011 ◽  
pp. 204-226 ◽  
Author(s):  
Eileen O’ Donnell ◽  
Mary Sharp
Keyword(s):  
Higher Education ◽  
Information Systems ◽  
Higher Education Institutions ◽  
Learning Experiences ◽  
Learning Management Systems ◽  
End Users ◽  
Management Systems ◽  
Pedagogical Design ◽  
E Learning ◽  
Learning Platforms

Students are the end users of the Information Systems that educators use to enhance students’ learning experiences. The use of technologies in education has altered the ways in which lecturers and students can interact and has expanded the volume of information that students can access. This study was undertaken to obtain students perspectives on the uses of technologies in higher education to assist educators in improving the pedagogical design of e-learning platforms, known as learning management systems. This chapter provides students’ perspectives on the academic use of technologies in two higher education institutions in Ireland. Analysis of the responses received from three hundred and twenty students indicates that students are of the opinion that the use of technologies in higher education can beneficially transform learning; however, technologies will never replace lecturers.

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.

E-learning perspectives in higher education institutions

2021 ◽  
Vol 166 ◽  
pp. 120618
Author(s):  
Violeta MILIĆEVIĆ ◽  
Nebojša DENIĆ ◽  
Zoran MILIĆEVIĆ ◽  
Ljiljana ARSIĆ ◽  
Milica SPASIĆ-STOJKOVIĆ ◽  
...  
Keyword(s):  
Higher Education ◽  
Higher Education Institutions ◽  
E Learning

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 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.

scholarly journals KEBIJAKAN PENYELENGGARAAN PENDIDIKAN TINGGI (Studi Tentang Peran Sistem Informasi Akademik Dalam Penyelenggaran Pendidikan Tinggi Di STKIP PGRI Bangkalan)

2018 ◽  
Vol 16 (1) ◽  
pp. 16
Author(s):  
Agoeng Koerniawan SA
Keyword(s):  
Higher Education ◽  
Information System ◽  
Information Systems ◽  
Teaching And Learning ◽  
Process Data ◽  
Quality Of Higher Education ◽  
Before And After ◽  
Academic Information

The purpose of this study was to determine the role of academic information systems in improving the quality of higher education implementation in PGRI STKIP Bangkalan, and the extent to which the policies of implementing higher education before and after the use of information systems and how satisfaction is felt by students towards academic information systems at STKIP PGRI Bangkalan, named STKIP PGRI Bangkalan’s Siakad.The study was conducted by conducting a survey of users of the internet-based academic information system (Siakad STKIP PGRI Bangkalan), namely lecturers, students and employees with the method of observation and conducting in-depth interviews to obtain as much information as possible from all respondents/informants. The number of informants was 5 people consisting of the chairman of STKIP PGRI Bangkalan, Vice Chairman I, Head of BAAK and two students who had experience in their respective fields of work, knew deeply and had many roles in the process of using information systems.Based on the results of the study, it was shown that with the use of the information system/ STKIP PGRI Bangkalan’s Siakad which is one of the facilities for the smooth activities of the teaching and learning process, it proved to provide convenience, many benefits and benefits that greatly support the duties of serving lecturers, students and outsiders requiring. This is evidenced by the support of the support of lecturers and students, capacity, namely the ability of employees to process data and value, namely the benefits felt by lecturers, employees and students as well as outside parties in need.

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