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)…

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…

This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…

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…