We aim to identify the engagement strategies that higher education students, engaging in
emergency online learning in low-resource settings, perceive to be effective. We conducted …

Self-directed learning (SDL) ability, its usefulness in higher education, and life-long learning
have been highlighted in previous literature. However, understanding the effects of SDL …

In this paper, we propose a method for predicting final grades of students by a Recurrent
Neural Network (RNN) from the log data stored in the educational systems. We applied this …

Flipped learning is a well-recognized learning mode that reverses the traditional in-class
instruction arrangement by delivering learning content outside of the classroom and …

The low birth rate in Taiwan has led to a severe challenge for many universities to enroll a
sufficient number of students. Consequently, a large number of students have been admitted …

Previous studies have found that the frequency and the regularity of taking the self-
assessment are positively correlated with learning performance. However, as artificial …

In order to enhance the experience of learning, many educators applied learning analytics in
a classroom, the major principle of learning analytics is targeting at-risk student and given …

The application of student interaction data is a promising field for blended learning (BL),
which combines conventional face-to-face and online learning activities. However, the …

Early prediction systems have already been applied successfully in various educational
contexts. In this study, we investigated develo** an early prediction system in the context …

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