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' …

A review of deep learning-based recommender system in e-learning environments

T Liu, Q Wu, L Chang, T Gu - Artificial Intelligence Review, 2022 - Springer
While the recent emergence of a large number of online course resources has made life
more convenient for many people, it has also caused information overload. According to a …

Fog of everything: Energy-efficient networked computing architectures, research challenges, and a case study

E Baccarelli, PGV Naranjo, M Scarpiniti… - IEEE …, 2017 - ieeexplore.ieee.org
Fog computing (FC) and Internet of Everything (IoE) are two emerging technological
paradigms that, to date, have been considered standing-alone. However, because of their …

Analysis of student behavior in learning management systems through a Big Data framework

M Cantabella, R Martínez-España, B Ayuso… - Future Generation …, 2019 - Elsevier
In recent years, learning management systems (LMSs) have played a fundamental role in
higher education teaching models. A new line of research has been opened relating to the …

Ethical challenges of edtech, big data and personalized learning: Twenty-first century student sorting and tracking

PM Regan, J Jesse - Ethics and Information Technology, 2019 - Springer
With the increase in the costs of providing education and concerns about financial
responsibility, heightened consideration of accountability and results, elevated awareness of …

Netflixing human capital development: Personalized learning technology and the corporatization of K-12 education

H Roberts-Mahoney, AJ Means… - Journal of Education …, 2016 - Taylor & Francis
Advanced by powerful venture philanthropies, educational technology companies, and the
US Department of Education, a growing movement to apply 'big data'through 'learning …

Big data comes to school: Implications for learning, assessment, and research

B Cope, M Kalantzis - Aera Open, 2016 - journals.sagepub.com
The prospect of “big data” at once evokes optimistic views of an information-rich future and
concerns about surveillance that adversely impacts our personal and private lives. This …

[PDF][PDF] The use of big data in education

AS Drigas, P Leliopoulos - International Journal of Computer Science …, 2014 - academia.edu
This paper is a study on the use of Big Data in Education. Analyzed how the Big Data and
Open Data technology can actually involve to education. Furthermore how big mounts of …

Scaffolding for optimal challenge in K–12 problem-based learning

NJ Kim, BR Belland, D Axelrod - Interdisciplinary Journal of …, 2019 - docs.lib.purdue.edu
Establishing optimal challenge enhances intrinsic motivation, interest, and the probability of
success in the learning activity. In K–12 problem-based learning (PBL), students may …

MCRS: A course recommendation system for MOOCs

H Zhang, T Huang, Z Lv, SY Liu, Z Zhou - Multimedia Tools and …, 2018 - Springer
With the popularization development of MOOC platform, the number of online courses grows
rapidly. Efficient and appropriate course recommendation can improve learning efficiency …