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 …

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 …

Providing early predictions of academic performance is necessary for identifying at-risk
students and subsequently providing them with timely intervention for critical factors affecting …

Big data in education promotes access to the analysis of learning behavior, yielding many
valuable analysis results. However, with obscure and insufficient guidelines commonly …

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 …

Precision education is now recognized as a new challenge of applying artificial intelligence,
machine learning, and learning analytics to improve both learning performance and …

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 …

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 …

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 …

Social learning theory posits that learning is most effective when providing learners with
opportunities to observe and interact with peers. Unfortunately, current K-12 programming …