Game-playing applications offer various challenges for machine learning, including opening book learning, learning of evaluation functions, player modeling, and others. In this paper, we briefly highlight the most important achievements of this field and summarize some important recent advance.

Recently, digital learning has attracted a lot of researchers to improve the problems of learning carelessness, low learning ability, lack of concentration, and difficulties in comprehending the logic of math. In this study, a digital learning system based on Kinect somatosensory system is proposed to make children and teenagers happily learn in the course of the games and improve the learning ...

Learning strategies play leading roles on students’ understanding information and solving problems. Not being aware of learning strategies and their use may lead to students’ failure. Furthermore, conducting research on learning strategies is difficult as they are not observable directly and selecting a reliable method is an issue. Accordingly, this paper aims to investigate the significant con...

In this paper, two higher education researchers – one, an experienced play researcher and practitioner; the other Law who has more recently engaged with literature present their ideas concerning what happens, or could happen when research is envisioned through a lens of play. They describe how, drawing on theories surrounding games, they worked together to identify features that resonated them ...