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…

The aim of this article is to extend the scope of the models of teacher change to an interactionist view which co-ordinates sociocultural and constructivist perspectives. Accordingly our focus will be on the cultural and situational factors and processes of social interaction, as well as on the development on an individual level. First we study…

Technology is viewed as a significant independent variable of the organization, affecting the organizational task structure. Viewing the classroom as the unit of observation, a technological change is introduced in the form of electronic computers to teach mathematics. Organizational task structure is defined in terms of teacher-pupil interaction…