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…

Cross-cultural friendships and peer interactions are important skills for Latino students to become socially adjusted in U.S. schools. Culturally responsive social skill instruction allows educators to teach essential social skills while attending to the native culture and personal experiences of the students. The present study examined the…

Student motivation is a cause of great concern for educators at all levels, but perhaps never more so than during the middle school years. Teachers' observations about declines in student interest and confidence in academic tasks are borne out by a number of large-scale empirical studies. In this article, the author examines how teachers create…