Data science techniques, nowadays widespread across all fields, can also be applied to the
wealth of information derived from student interactions with serious games. Use of data …

This article provides a comprehensive review of current practices and methodologies within
the field of learning analytics, structured around a dedicated closed-loop framework. This …

Learning analytics (LA) has become an increasingly active field focusing on leveraging
learning process data to understand and improve teaching and learning. With the explosive …

A challenge in digital learning games is assessing students' learning behaviors, which are
often intertwined with game behaviors. How do we know whether students have learned …

New data sources and analytic techniques have enabled educational researchers to ask
new questions and work to address enduring problems. Yet, there are challenges to those …

In recent years, the use of analytics and data mining–methodologies that extract useful and
actionable information from large datasets–has become commonplace in science (ie Jing et …

Games are powerful tools for teaching and learning, especially in the age of Education 4.0.
The rapid growth of educational games is hindered by various problems, including their …

We present a new framework describing how teachers use ST Math, a curriculum-integrated,
year-long educational game, in 3rd-4th grade classrooms. We combined authentic …

Although the idea of learning engineering dates back to the 1960s, there has been an
explosion of interest in the area in the last decade. This interest has been driven by an …

This chapter aims to provide a historical perspective of the evolution of educational research
and, more specifically, research methods in the instructional design and technology field. It …