Purpose Educational data mining (EDM) and learning analytics, which are highly related
subjects but have different definitions and focuses, have enabled instructors to obtain a …

Before the emergence of computer‐based educational systems (CBES) whose aims of
providing teaching and learning experiences to hundreds even thousands of users, an …

The adaptive educational systems within e-learning platforms are built in response to the
fact that the learning process is different for each and every learner. In order to provide …

Large swaths of data are readily available in various fields, and education is no exception. In
tandem, the impetus to derive meaningful insights from data gains urgency. Recent …

The nature of teaching and learning has evolved over the years, especially as technology
has evolved. Innovative application of educational analytics has gained momentum. Indeed …

The development of machine learning has promoted the construction of smart education
platforms. It is of great significance to deeply investigate the usage of machine learning …

Given the growing interest in learnersourcing--a pedagogically supported form of
crowdsourcing that harnesses the knowledge and creativity of learners for the creation of …

Educational video games, with various motivational features and scaffolding support, have
high potential for facilitating optimal learning and achievement. However, research on how …

Predicting student performance in Massive Open Online Courses (MOOCs) is important to
aid in retention efforts. Researchers have demonstrated that video watching features can be …

Educational technology is shifting toward facilitating personalized learning. Such
personalization, however, requires a detailed understanding of students' problem-solving …