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…

Assessing people's understanding of the causal relationships found in large-scale complex systems may be necessary for addressing many critical social concerns, such as environmental sustainability. Existing methods for assessing systems thinking and causal understanding frequently use the technique of cognitive causal mapping. However, the…

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…

This report presents an analysis of an expert performing a highly interactive computer task. The analysis uses GOMS models, specifying the Goals, Operators, Methods, and Selection rules used by the expert; the GOMS models are implemented within a unified theory of cognition called Soar. Two models are presented, one with function-level operators,…

The education industry has obviously been influenced by the Internet revolution. Teaching and learning methods have changed significantly since the coming of the Web and it is very likely they will keep evolving many years to come thanks to it. A good example of this changing reality is the spectacular development of e-Learning. In a more…