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Learning Analytics to identify dropout factors of Computer Science studies through Bayesian networks
ABSTRACT Student dropout in Engineering Education is an important problem which has
been studied from different perspectives, as well as using different techniques. This …
been studied from different perspectives, as well as using different techniques. This …
Key Performance Indicators to optimize the environmental performance of Higher Education Institutions with environmental management system–A case study of …
Environmental performance is becoming increasingly important to organizational decision-
making boards. As with other organizations, Higher Education Institutions concerned with …
making boards. As with other organizations, Higher Education Institutions concerned with …
A signed-distance-based approach to importance assessment and multi-criteria group decision analysis based on interval type-2 fuzzy set
TY Chen - Knowledge and information systems, 2013 - Springer
Interval type-2 fuzzy sets are associated with greater imprecision and more ambiguities than
ordinary fuzzy sets. This paper presents a signed-distance-based method for determining …
ordinary fuzzy sets. This paper presents a signed-distance-based method for determining …
Management indicators: Their impact on Latin-American universities' accreditation
Several accreditation agencies in Latin America introduce their standards and guidance for
documentation but they do not explicitly elaborate on the key performance indicators on …
documentation but they do not explicitly elaborate on the key performance indicators on …
From thoughts to actions: The importance of climate change education in enhancing students' self-efficacy
The relation between the understanding and belief of the site-specific dangers of climate
change and the behaviour that individuals take to mitigate their impacts was assessed to …
change and the behaviour that individuals take to mitigate their impacts was assessed to …
[HTML][HTML] Software for building and measuring the quality of composite indicators using ordered weighted averaging: So-called S-CI-OWA
Composite indicators are one-dimensional measures that help decision-makers understand
complex realities. Existing software builds composite indicators using different methods, also …
complex realities. Existing software builds composite indicators using different methods, also …
Expectations of students from classroom rules: A scenario based Bayesian network analysis
Classroom rules are a fundamental aspect of classroom management and ensuring
compliance with established rules is crucial. Previous research has shown that students …
compliance with established rules is crucial. Previous research has shown that students …
Funding reforms in Malaysian public universities from the perspective of strategic planning
A Farley - Procedia-Social and Behavioral Sciences, 2014 - Elsevier
Abstract The Malaysian Federal Government through Ministry of Higher Education has come
out with the initiative to implement the National Higher Education Strategic Plan beyond …
out with the initiative to implement the National Higher Education Strategic Plan beyond …
The role of adaptive learning technologies and conditional learning
Abstract In a Virtual University, adaptive learning systems can provide a model for learners,
teaching staff, and administrators to be supported with the challenges associated with virtual …
teaching staff, and administrators to be supported with the challenges associated with virtual …
FORWARD: a model for forecasting reservoir water dynamics using spatial Bayesian network (SpaBN)
Natural systems, like the hydrological, climatological, atmospheric, or any other
environmental processes, are extremely complex as well as dynamic in nature. It is therefore …
environmental processes, are extremely complex as well as dynamic in nature. It is therefore …