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 study describes the development of a basic computer-based play pedagogy intervention using a dyscalculia-remedy-oriented approach such as repetition and number orientation manipulation, and the investigation of its effect on children displaying dyscalculia characteristics. This computer play was evaluated in a group of 50 seven-year-old…

It is argued that against the background of a neo-managerial and market-driven global education system, the production and use of technology to support teaching and learning perpetuates hegemonic behaviorist values. Activity theory, as a lens, is used to explore the power relations that are integral to the development and use of Reusable Learning…