This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…

Drawing on usage-based approaches to the study of language learning--including recent research on mobility in interaction, embodied approaches to cognition and communicative action, and innovations in place-based language learning in the wild--this article uses methods from ethnomethodological conversation analysis to investigate video recordings…

While the existing CALL literature identifies a range of positive learning outcomes for second language acquisition (SLA) that may be achieved through digital game-based activities, Peterson (2013) points to the need for additional theory-led research to shed more light on the learning processes involved. To this end, a case study was carried out…

A risk associated with the use of games in training and education is that players "game the game," instead of focusing on their learning goals. The term "gamer mode" is proposed to describe this attitude. A player with a gamer-mode attitude strives to achieve goals that are optimal for winning the game, but suboptimal with…