While research has shown that students' epistemic beliefs can be a strong predictor of their academic performance, cognitive abilities, or self-efficacy, studies of this topic in computer education are rare. The purpose of this study was twofold. First, it aimed to validate a newly developed questionnaire for measuring students' epistemic beliefs…

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)…

Technical and vocational education emphasizes the development and training of hand motor skills. However, some problems exist in the current career and aptitude tests in that they do not truly measure the hand motor skills. This study used the Nintendo Wii Remote Controller as the testing device in developing a set of computerized testing tools to…