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Utilising learning analytics to support study success in higher education: a systematic review
Study success includes the successful completion of a first degree in higher education to the
largest extent, and the successful completion of individual learning tasks to the smallest …
largest extent, and the successful completion of individual learning tasks to the smallest …
A systematic review on trends in using Moodle for teaching and learning
Abstract Background The Moodle Learning Management System (LMS) is widely used in
online teaching and learning, especially in STEM education. However, educational research …
online teaching and learning, especially in STEM education. However, educational research …
Educational data mining: prediction of students' academic performance using machine learning algorithms
M Yağcı - Smart Learning Environments, 2022 - Springer
Educational data mining has become an effective tool for exploring the hidden relationships
in educational data and predicting students' academic achievements. This study proposes a …
in educational data and predicting students' academic achievements. This study proposes a …
Analyzing and predicting students' performance by means of machine learning: A review
JL Rastrollo-Guerrero, JA Gómez-Pulido… - Applied sciences, 2020 - mdpi.com
Predicting students' performance is one of the most important topics for learning contexts
such as schools and universities, since it helps to design effective mechanisms that improve …
such as schools and universities, since it helps to design effective mechanisms that improve …
[HTML][HTML] The longitudinal association between engagement and achievement varies by time, students' profiles, and achievement state: A full program study
There is a paucity of longitudinal studies in online learning across courses or throughout
programs. Our study intends to add to this emerging body of research by analyzing the …
programs. Our study intends to add to this emerging body of research by analyzing the …
Student retention using educational data mining and predictive analytics: a systematic literature review
Student retention is an essential measurement metric in education, indicated by retention
rates, which are accumulated as students re-enroll from one academic year to the next. High …
rates, which are accumulated as students re-enroll from one academic year to the next. High …
[HTML][HTML] Predicting student performance in higher educational institutions using video learning analytics and data mining techniques
Technology and innovation empower higher educational institutions (HEI) to use different
types of learning systems—video learning is one such system. Analyzing the footprints left …
types of learning systems—video learning is one such system. Analyzing the footprints left …
[HTML][HTML] Students matter the most in learning analytics: The effects of internal and instructional conditions in predicting academic success
Predictive modelling of academic success and retention has been a key research theme in
Learning Analytics. While the initial work on predictive modelling was focused on the …
Learning Analytics. While the initial work on predictive modelling was focused on the …
Effectiveness of blended learning in nursing education
Currently, teaching in higher education is being heavily developed by learning management
systems that record the learning behaviour of both students and teachers. The use of …
systems that record the learning behaviour of both students and teachers. The use of …
Recommendations for working from home during the COVID-19 pandemic (and beyond)
BACKGROUND: There is a growing trend around the globe for having more people working
from home, particularly in the current COVID-19 pandemic. Although it is widely …
from home, particularly in the current COVID-19 pandemic. Although it is widely …