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 …

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] 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 …

[HTML][HTML] 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 …

Integrating LA and EDM for improving students Success in higher Education using FCN algorithm

M Hooda, C Rana, O Dahiya, JP Shet… - Mathematical …, 2022 - Wiley Online Library
EDM and LA are two fields that study how to use facts to get more academic learning and
enhance the students' entire performance. Both areas are concerned with a broad range of …

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 …

Using machine learning to explore the relation between student engagement and student performance

F Orji, J Vassileva - 2020 24th International Conference …, 2020 - ieeexplore.ieee.org
Engagement in learning activities is an important factor that affects student performance in
education. According to research, student engagement involves the degree of passion …