Muesser Nat

A Recommendation of Information System Implementation to Support Decision-Making Process of Top Management

Nowadays, due to the intensive growth, development and globalization of organizations, managers work hard to conduct their tasks in efficient manners. Executive Information System (EIS) is a type of computer-based information system that can assist senior managers to monitor and access all information related to management of organization. However, as a result of competitive environment and globalization, senior managers have been challenging with providing clear, relevant and accurate information that is required for making efficient decisions. This paper concentrates on the evaluation of existing information systems and investigates the impact of EIS implementation on the decision-making processes of top management, as well as provides recommendations in terms of utilizing information systems for HOZ Group Company in North of Iraq.

Student Information System satisfaction in Higher Education Institutions

This paper aims to find out the satisfaction level of faculty coordinators who use Student Information System (SIS) to manage classrooms in Higher Education Institutions (HEIs). Considering the purpose of this study a survey is applied to the faculty coordinators of a developing HEI in Northern Cyprus. The reliability test, factor analysis and Bartletts test has been applied to interpret the survey results. Results reveal that the system quality and information presentation have impact on decision-making satisfaction, and the information quality is an intervening variable between the system quality and decision-making satisfaction.

Discovering students use of learning resources with educational data mining

Educational data is in abundance due the nature of education in the 21st century where a significant amount of education occurs online through the advent of digital learning. There is an increase in the use of Learning Management Systems (LMS) to provide education without boundaries, and these systems hold large amounts of data. Educational data mining is the process of tapping into this rich educational data with the aim of improving the education process through the knowledge that is obtained from the mining process. This paper aims to apply the association rule to a postgraduate course dataset that has been extracted from Moodle LMS. This can lead to actionable decisions which can be used to improve the process of teaching and learning. The results show that students mostly access the resources available to them last minute before the exam and have a tendency to procrastinate online submissions.