Tiny and affordable computers (e.g. Raspberry Pi and Arduino) have been widely applied to technology-enhanced hands-on learning (THL). However, little scholarly attention has been devoted to the key factors behind students' performance in THL contexts. Therefore, this study not only helped the participants learn computer science through THL, but also devised a research model to investigate the major factors affecting their learning performance. In this model, self-efficacy and social support serve as the independent variables, and perceived usefulness, perceived enjoyment and behavioral intention act as the mediating variables, while learning performance functions as the dependent variable. The research findings reveal that (1) self-efficacy is a more significantly influential factor than social support behind learning performance; and (2) perceived enjoyment is more significantly influential than perceived usefulness in affecting learning performance via the mediation of behavioral intention. These findings imply that students' self-efficacy in using technologies is more important than others' assistance in THL contexts, since the latter may not be offered in a timely manner, whereas the former will prompt students to solve problems independently and ergo deliver better performance.