Learning Analytics to identify dropout factors of Computer Science studies through Bayesian networks

C Lacave, AI Molina, JA Cruz-Lemus - Behaviour & Information …, 2018 - Taylor & Francis
ABSTRACT Student dropout in Engineering Education is an important problem which has
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 …

VG Lo-Iacono-Ferreira, SF Capuz-Rizo… - Journal of Cleaner …, 2018 - Elsevier
Environmental performance is becoming increasingly important to organizational decision-
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 …

Management indicators: Their impact on Latin-American universities' accreditation

G Gerón-Piñón, P Solana-González… - Quality in higher …, 2021 - Taylor & Francis
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 …

From thoughts to actions: The importance of climate change education in enhancing students' self-efficacy

SK Muroi, E Bertone - Australian Journal of Environmental Education, 2019 - cambridge.org
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 …

[HTML][HTML] Software for building and measuring the quality of composite indicators using ordered weighted averaging: So-called S-CI-OWA

LC Ribeiro, MP Libório, H Mannan, S Laudares, PI Ekel… - SoftwareX, 2024 - Elsevier
Composite indicators are one-dimensional measures that help decision-makers understand
complex realities. Existing software builds composite indicators using different methods, also …

Expectations of students from classroom rules: A scenario based Bayesian network analysis

I Demir, E Şener, HA Karaboğa… - Participatory Educational …, 2023 - dergipark.org.tr
Classroom rules are a fundamental aspect of classroom management and ensuring
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 …

The role of adaptive learning technologies and conditional learning

K Thompson, AC Farr, T Saunders, G Winter - … -enhanced learning and the …, 2023 - Springer
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 …

FORWARD: a model for forecasting reservoir water dynamics using spatial Bayesian network (SpaBN)

M Das, SK Ghosh, P Gupta… - … on Knowledge and …, 2017 - ieeexplore.ieee.org
Natural systems, like the hydrological, climatological, atmospheric, or any other
environmental processes, are extremely complex as well as dynamic in nature. It is therefore …