Mediation Models Predicting the Level of Digital Competence of 12–14 Year Old Schoolchildren in the Area of Digital Problem Solving

Abstract Technology has become invaluable and digital competence has turned into a necessity for students. The research presented here aims to propose mediation models that explain the influence of attitudinal, technology use, and family factors on the level of digital problem-solving skills of compulsory education students (12–14 years old). A quantitative methodology with a cross-sectional design was used. We worked with a sample of 772 students from 18 Spanish educational centres according to a stratified random sampling method. For data collection, an objective assessment test was used for knowledge and skills, and a Likert scale for attitudes. Regression analyses were carried out by creating theoretical reference models based on the bootstrapping technique. The results showed that students who expressed a favourable attitude towards digital problem solving demonstrated a better level of competence, which was also positively influenced by the possession of technological devices and the frequency of their use for school and non-school activities at home.