Applying learning analytics in online environments: Measuring learners' engagement unobtrusively

S Caspari-Sadeghi - Frontiers in Education, 2022 - frontiersin.org
Prior to the emergence of Big Data and technologies such as Learning Analytics (LA),
classroom research focused mainly on measuring learning outcomes of a small sample …

Toward precision education

CCY Yang, IYL Chen, H Ogata - Educational Technology & Society, 2021 - JSTOR
Precision education is now recognized as a new challenge of applying artificial intelligence,
machine learning, and learning analytics to improve both learning performance and …

Predicting at-risk university students based on their e-book reading behaviours by using machine learning classifiers

CH Chen, SJH Yang, JX Weng, H Ogata… - Australasian Journal of …, 2021 - ajet.org.au
Providing early predictions of academic performance is necessary for identifying at-risk
students and subsequently providing them with timely intervention for critical factors affecting …

Learning analytics in distance education: A systematic review study

A Palanci, RM Yılmaz, Z Turan - Education and Information Technologies, 2024 - Springer
This study aims to reveal the main trends and findings of the studies examining the use of
learning analytics in distance education. For this purpose, journal articles indexed in the …

Exploring the behavioral patterns of students learning with a Facebook-based e-book approach

H Zarzour, S Bendjaballah, H Harirche - Computers & Education, 2020 - Elsevier
Enriching e-book systems with some features from social networking sites, such as
Facebook, has the potential to affect the learning process for students. In this study, we …

A learning analytics framework based on human-centered artificial intelligence for identifying the optimal learning strategy to intervene in learning behavior

F Zhao, GZ Liu, J Zhou, C Yin - Educational Technology & Society, 2023 - JSTOR
Big data in education promotes access to the analysis of learning behavior, yielding many
valuable analysis results. However, with obscure and insufficient guidelines commonly …

[HTML][HTML] Learning pattern classification using moodle logs and the visualization of browsing processes by time-series cross-section

K Dobashi, CP Ho, CP Fulford, MFG Lin… - Computers and Education …, 2022 - Elsevier
In recent years, distance learning using learning management and e-book systems has
been actively conducted in higher education institutions and various other organizations. It is …

E-book-based learning activity during COVID-19: engagement behaviors and perceptions of Japanese junior-high school students

H Kuromiya, R Majumdar, G Miyabe… - Research and Practice in …, 2022 - Springer
Recent spread of the COVID-19 forces governments around the world to temporarily close
educational institutions. In this paper, we evaluated learning engagement, level of …

Design of a learning dashboard to enhance reading outcomes and self-directed learning behaviors in out-of-class extensive reading

Y Yang, R Majumdar, H Li, B Flanagan… - Interactive Learning …, 2024 - Taylor & Francis
Self-directed learning (SDL) requires students to take initiative to learn and control their own
learning process. Literature highlights the importance of SDL for lifelong learning. Yet, little …

A result confirmation-based learning behavior analysis framework for exploring the hidden reasons behind patterns and strategies

F Zhao, GJ Hwang, C Yin - Educational Technology & Society, 2021 - JSTOR
Educational data mining and learning analytics have become a very important topic in the
field of education technology. Many frameworks have been proposed for learning analytics …