Learning analytics methods, benefits, and challenges in higher education: A systematic literature review.

JT Avella, M Kebritchi, SG Nunn, T Kanai - Online Learning, 2016 - ERIC
Higher education for the 21st century continues to promote discoveries in the field through
learning analytics (LA). The problem is that the rapid embrace of of LA diverts educators' …

Review of computer‐based assessment for learning in elementary and secondary education

VJ Shute, S Rahimi - Journal of Computer Assisted Learning, 2017 - Wiley Online Library
In this paper, we review computer‐based assessment for learning (CBAfL), in elementary
and secondary education, as a viable way to merge instruction and assessment of students' …

Artificial neural networks for educational data mining in higher education: A systematic literature review

E Okewu, P Adewole, S Misra… - Applied Artificial …, 2021 - Taylor & Francis
Efforts to raise the bar of higher education so as to respond to dynamic societal/industry
needs have led to a number of initiatives, including artificial neural network (ANN) based …

[HTML][HTML] Clustering analysis for classifying student academic performance in higher education

AF Mohamed Nafuri, NS Sani, NFA Zainudin… - Applied Sciences, 2022 - mdpi.com
There are three income categories for Malaysians: the top 20%(T20), the middle 40%(M40),
and the bottom 40%(B40). The government has extended B40′ s access to higher …

Learning analytics for enhancing the usability of serious games in formal education: A systematic literature review and research agenda

I Daoudi - Education and Information Technologies, 2022 - Springer
In recent years, the interest in the use of serious games as teaching and learning tools in
traditional educational processes has increased significantly. Serious Educational Games …

Assessing learners' satisfaction in collaborative online courses through a big data approach

G Elia, G Solazzo, G Lorenzo, G Passiante - Computers in Human Behavior, 2019 - Elsevier
Monitoring learners' satisfaction (LS) is a vital action for collecting precious information and
design valuable online collaborative learning (CL) experiences. Today's CL platforms allow …

[HTML][HTML] A systematic review of the role of learning analytics in supporting personalized learning

ET Khor, MK - Education sciences, 2023 - mdpi.com
Personalized learning is becoming more important in today's diverse classrooms. It is a
strategy that tailors instruction to each student's abilities and interests. The benefits of …

Dropout and transfer paths: What are the risky profiles when analyzing university persistence with machine learning techniques?

LJ Rodríguez-Muñiz, AB Bernardo, M Esteban, I Díaz - Plos one, 2019 - journals.plos.org
University dropout is a growing problem with considerable academic, social and economic
consequences. Conclusions and limitations of previous studies highlight the difficulty of …

Consideration of the local correlation of learning behaviors to predict dropouts from MOOCs

Y Wen, Y Tian, B Wen, Q Zhou, G Cai… - Tsinghua Science and …, 2019 - ieeexplore.ieee.org
Recently, Massive Open Online Courses (MOOCs) have become a major online learning
methodology for millions of people worldwide. However, the dropout rates from several …

A learning analytics approach to correlate the academic achievements of students with interaction data from an educational simulator

M Vahdat, L Oneto, D Anguita, M Funk… - Design for Teaching and …, 2015 - Springer
This paper presents a Learning Analytics approach for understanding the learning behavior
of students while interacting with Technology Enhanced Learning tools. In this work we …