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 **g et …

There has been a growing trend in higher education towards increased use and adoption of
Massive Open Online Courses (MOOCs). Despite this interest in learning at scale, limited …

Computer-based educational games can provide engaging designed experiences for
learning (Squire, 2006; Gee, 2003), affording rich performance data situated in a meaningful …

Games are not merely for entertainment purposes but rather a powerful tool to be used in the
education sector, its use in teaching can be traced back all the way to ancient civilizations …

Interactions with digital environments can yield huge amounts of electronic data—in terms of
what was done, when, where, and how. What's known today as stealth assessment arose …

Feature engineering, the construction of contextual and relevant features from system log
data, is a crucial component of develo** robust and interpretable models in educational …

As a field, educational data mining (EDM) develops methodologies and practices for
exploring large-scale datasets generated by modern educational technologies, such as …

Despite recent advances in technology, personalized learning to address diverse needs of
students remains difficult to achieve at scale. With the availability and affordability of smart …

Given the incredible popularity of video games in contexts from entertainment to education,
and the capacity of internet-connected games to record fine-grained telemetry data, there …

In recent years, a large body of research in game-based assessment (GBA) has been rooted
in the application of methodologies like evidence-centered design to digital game-based …