Learning analytics and educational data mining in practice: A systematic literature review of empirical evidence

Z Papamitsiou, AA Economides - Journal of Educational Technology & …, 2014 - JSTOR
This paper aims to provide the reader with a comprehensive background for understanding
current knowledge on Learning Analytics (LA) and Educational Data Mining (EDM) and its …

Which log variables significantly predict academic achievement? A systematic review and meta‐analysis

Q Wang, A Mousavi - British Journal of Educational …, 2023 - Wiley Online Library
Technologies and teaching practices can provide a rich log data, which enables learning
analytics (LA) to bring new insights into the learning process for ultimately enhancing …

Analítica visual en e-learning

DA Gómez-Aguilar… - Profesional de …, 2014 - revista.profesionaldelainformacion …
Las tecnologías utilizadas en los procesos de aprendizaje implican el registro de todas las
actividades realizadas. Estos datos se pueden aprovechar para la evaluación de …

Students' engagement characteristics predict success and completion of online courses

T Soffer, A Cohen - Journal of computer assisted learning, 2019 - Wiley Online Library
This study examined students' engagement characteristics in online courses and their
impact on academic achievements, trying to distinguish between course completers and …

Students' LMS interaction patterns and their relationship with achievement: A case study in higher education

R Cerezo, M Sánchez-Santillán, MP Paule-Ruiz… - Computers & …, 2016 - Elsevier
Abstract The use of Learning Management Systems has grown exponentially in the last
several years and has come to have a strong effect on the teaching-learning process …

Prediction of students' early dropout based on their interaction logs in online learning environment

AA Mubarak, H Cao, W Zhang - Interactive Learning Environments, 2022 - Taylor & Francis
Online learning has become more popular in higher education since it adds convenience
and flexibility to students' schedule. But, it has faced difficulties in the retention of the …

Combining university student self-regulated learning indicators and engagement with online learning events to predict academic performance

A Pardo, F Han, RA Ellis - IEEE Transactions on Learning …, 2016 - ieeexplore.ieee.org
Self-regulated learning theories are used to understand the reasons for different levels of
university student academic performance. Similarly, learning analytics research proposes …

Learning analytics to support self-regulated learning in asynchronous online courses: A case study at a women's university in South Korea

D Kim, M Yoon, IH Jo, RM Branch - Computers & Education, 2018 - Elsevier
With the recognition of the importance of self-regulated learning (SRL) in asynchronous
online courses, recent research has explored how SRL strategies impact student learning in …

Ontask: Delivering data-informed, personalized learning support actions

A Pardo, K Bartimote, SB Shum… - Journal of Learning …, 2018 - research.monash.edu
The learning analytics community has matured significantly over the past few years as a
middle space where technology and pedagogy combine to support learning experiences. To …

Standing on the shoulders of giants: Online formative assessments as the foundation for predictive learning analytics models

O Bulut, G Gorgun, SN Yildirim‐Erbasli… - British Journal of …, 2023 - Wiley Online Library
As universities around the world have begun to use learning management systems (LMSs),
more learning data have become available to gain deeper insights into students' learning …