Prolonged exposure to ultraviolet (UV) radiation is linked to skin cancer. Children are more vulnerable to UV harmful effects compared to adults. Children’s active involvement in using Internet of Things (IoT) devices to collect and analyze real-time UV radiation data is suggested to increase their awareness of UV protection. This quasi-experimental pre-test post-test control group study implemented light sensors in a STEM inquiry-based learning environment focusing on UV radiation and protection in primary education. This exploratory, small-scale study investigated the effect of a STEM environment implementing IoT devices on 6th graders’ knowledge, attitudes, and behaviors about UV radiation and protection. Participants were 31 primary school students. Experimental group participants (n = 15) attended four eighty-minute inquiry-based lessons on UV radiation and protection and used sensors to measure and analyze UV radiation in their school. Data sources included questionnaires on UV knowledge, attitudes, and behaviors administered pre- and post-intervention. Statistically significant learning gains were found only for the experimental group (t14 = −3.64, p = 0.003). A statistically significant positive behavioral change was reported for experimental group participants six weeks post-intervention. The study adds empirical evidence suggesting the value of real-time data-driven approaches implementing IoT devices to positively influence students’ knowledge and behaviors related to socio-scientific problems affecting their health.

Skin cancer, the most common type of cancer worldwide, has been linked to overexposure to ultraviolet radiation (UVR) without protection. As skin cancer is a preventable type of cancer, there is a pressing need to adopt health-promoting behaviors early in life. The Sun Exposure and Protection Index (SEPI) is an instrument for evaluating adults’ sun exposure habits and the propensity to increase sun protection with widely accepted validity and reliability in Swedish, English, and German. The present study aims to validate SEPI with children in Greek. Data was collected from 127 primary school students in Cyprus who completed the instrument twice within two weeks. Internal consistency calculated by Cronbach’s alpha was 0.69 for all 13 items included in SEPI. A statistically significant (p < 0.01) strong and positive correlation coefficient (Pearson’s r = 0.63) was measured between the total scores for parts 1 and 2. Test–retest stability was high and significant (ρ > 0.5, p < 0.01) for all items but one. In conclusion, the Greek version of SEPI demonstrates reasonable internal consistency, as Cronbach’s alpha is at a relatively acceptable level. It can be used for evaluating prevention interventions assessing sun exposure habits, and the propensity to increase sun protection among primary school students.