The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper, considering the complexity of university internal governance effect and particularity of the university itself, aims to build a indicator system to evaluate university internal governance effect, using the Grey Multilayer Comprehensive Assessment Method to evaluate this indicator system, whilst applying the Analytical Hierarchical Process (AHP) and Entropy Evaluation Method to define the...
Learning analytics (LA) leverages learner-related data to generate reliable and factual information for the purpose of enhancing decision making in higher education, workplace and schools. Therefore, we have envisioned the need for a learning analytics system for a consortium of Nigerian universities that could serve as a tool for academic advising. The system should be able to offer advice at several...
Value chain examination of tertiary education institutions is centered on the dynamics of inter-connection within the education sector, most especially the way in which tertiary education providers such as universities, polytechnics, institutes and the likes are universally integrated, this entails conventional systems of economic, social analysis and much more. This research work is centered on the...
Data with high volume, velocity, variety and veracity brings the new experience curve of analytics. Big data in higher education comes from different sources that include blogs, social networks, student information systems, learning management systems, research, and other machine-generated data. Once the data is analysed it promises better student placement processes; more accurate enrolment forecasts,...
The electric vehicle power battery recombination need to consider the consistency of battery cells. Therefore, the objective and accurate evaluation of battery cells performance has become an important prerequisite. Considering multiple factors affecting battery consistency, the synthesized evaluation model is present to solve the matching problem of battery cells. Finally, case analyses illustrate...
Orchestrating holistic school improvement requires school leaders to effectively engage in the tasks of collecting and processing diverse educational data from the school ecosystem, and more importantly, to be able to 'translate' these analyses to specific remedying actions for targeted improvement. However, these processes can be cumbersome, especially given that existing 'School Analytics' methods...
The applications on big data storage and analysis to extract useful information are getting more mature, but the development and operations in educational industry are yet to be strengthened. This study aims to explore the learning data from its original e-learning platform, connecting employment data and school learning records for analysis and mining.
Learning Analytics (LA) has become a prominent paradigm in the context of education lately which adopts the recent advancements of technology such as cloud computing, big data processing, and Internet of Things. LA also requires an intensive amount of processing resources to generate relevant analytical results. However, the traditional approaches have been inefficient at tackling LA challenges such...
In this ongoing work, the team intends to present a conceptual serious game as an educational tool to promote and demonstrate the applicability of statistical concepts in day-to-day life and in the decision-making process. The serious game will provide learning content in a game-based environment where students/players interact by applying knowledge in Statistics. There will be no right or wrong answers...
The development of educational policies that improve educational systems needs intelligent automated tools for decision making. This need has motivated the development of a new system which can help teachers, schools, and decision makers in enhancing students' performance. The primary concern here is to monitor the students and help the teachers in building action plans that improve students' performance...
With reference to rapid increment of hyper-urbanization and speedy declination of rural birthrate in the contemporary Taiwanese, a bulk of students in rural districts have gradually fallen off their educational resources that results in a majority of recruiting freshmen of top-ranking higher education institutes have come from urban regions. Under this most solemn the fewer newborns condition, “how...
The article proposes to use a system of efficient decision-making in conditions of uncertainty in the region, is far from technical, financial and administrative areas, to solve nontraditional tasks, in particular, to develop the language competences in the process of learning a foreign language.
Big Data technology is a generic technology, which can be applied to any real-world problem that involves a lot of data. Moreover, the use of cloud-based infrastructure to implement the big data technology makes it a cost-effective solution to the big data problem. One of the fundamental sectors that can benefit from this technology is education and research. The education system can use big data...
This paper presents the design of analytical hierarchy process for teaching and learning in Institutional of Higher Learning (IHL). Determining the appropriate teaching and learning tool is an essential decision in education system. There are many teaching and learning tools have been developed to assist lecturers for teaching and delivering materials in the class. The appropriate use of tools is...
Factors that influence knowledge management (KM) and knowledge sharing (KS) have many potential benefits in the decision-making process for augmenting organizational performance. The main purpose of this study is to examine the antecedent factors that predominately influence academics’ Knowledge management and sharing (KM&S) intention for universities KM practices. The study primarily investigates...
Beyond the technical skills of engineering, students of any engineering discipline need to develop teamwork knowledge, skills, and abilities (KSAs) in order to be successful. Various intervention strategies within education systems have been utilized to promote development of teamwork skills and practices in the past. The research team has incorporated the cooperative yet engaging activity based on...
Find areas and indicators of achievement where students need to reinforce their knowledge is a difficult task for teachers in schools. This article presents a decision-making support system that allows teachers to identify students with poor academic performance. The strategy is a Matrix Based Recommender System to rate assessments and share the results using statistical graphs. To validate this proposal...
Through the processes set out by Learning Analytics, this paper describes a decision making model which supports the managers of higher education institutions at the moment of making academic decisions. In the analysis and requirements phase, the importance of creating and categorizing indicators is presented in detail, thereby facilitating the finding of hidden patterns in the educational information...
Education helps people develop as individuals. It not only helps build social skills but also enhances the problem solving and decision making skills of individuals. With the growing number of schools, colleges and universities around the globe, education now has taken new dimension. The main focus of higher Educational Institutes is to improve the overall quality and effectiveness of education. Predicting...
Data mining techniques have been found useful in understanding and enhancing student performance as well as decision making related to teaching and learning in HEIs. Literature review enabled the choice of time to degree and cumulative grade point average (CGPA) as examples of student performance factors for investigation. Student features that could be extracted using SQL query from student dataset...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.