The promise of using games for learning is that play‐and learning‐engagement would occur
cohesively as a whole to compose a highly motivated learning experience. Yet the …

This long chapter begins with a description of the expectations for games, followed by a
section elaborating the distinctions between games and simulations made in the …

Simulation games are now increasingly applied to many subject domains as they allow
students to engage in discovery processes, and may facilitate a flow learning experience …

We present a probabilistic model of user affect designed to allow an intelligent agent to
recognise multiple user emotions during the interaction with an educational computer game …

Quantitative Field Observations (QFOs) of student behaviors and affective states in
classroom environments. Formerly known as the Baker Rodrigo Observation Method …

In recent years, the usefulness of affect detection for educational software has become clear.
Accurate detection of student affect can support a wide range of interventions with the …

Sensing and machine learning advances have enabled the unobtrusive measurement of
physiological responses and facial expressions so as to estimate one's cognitive …

Students who exploit properties of an instructional system to make progress while avoiding
learning are said to be “gaming” the system. In order to investigate what causes gaming and …

Background The expanded use of online and blended learning programs in K-12 STEM
education has led researchers to propose design principles for effective e-learning systems …

Both gaming the system (taking advantage of the system's feedback and help to succeed in
the tutor without learning the material) and being off-task (engaging in behavior that does …