Evaluating the success of the SENSE. project in the areas of sustainability education, health education, digital literacy, and work readiness requires a comprehensive understanding of its impact on participants’ well-being, interest, and boredom. By examining these areas through these lenses, we gain a rich, multi-dimensional insight into the project’s overall impact and applicability. The instrument was developed by Fröhlich et al.
Reliability tests with our data were done according to McDonald Omega. The results show high validity of the scales, with 0,84 for “Interest”, 0,90 for “Well-being” and 0,81 for “boredom”. Overall, 172 participants (57% female, 43% male) in 19 different STEAM Labs contributed to the survey. Participants covered all age spans.
If you would like to conduct a survey to shed light on situated emotions, we can provide you with a questionnaire designed to quantitatively evaluate the impact of STEAM Lab activities. The survey consists of three short scales measuring well-being, boredom, and interest. The instrument was developed by Fröhlich et al. Translations into different languages are available upon request (contact lshe@hvl.no).
In addition to qualitative assessments the inclusion of this quantitative survey adds a valuable component to our evaluation. Enhancing participants’ well-being is crucial as it ensures that educational experiences remain supportive and enriching. Similarly, cultivating interest sustains engagement and deepens learning, while minimizing boredom is essential to prevent disengagement and dropout. Together, these multiple forms of assessment form a robust evaluative framework that guides the development and refinement of SENSE. activities, ensuring they are both meaningful and positively received by participants. This holistic approach allows us to create more impactful and resonant educational experiences.
For pre-post-test versions, you will need a way to connect the participants from before and after. For paper surveys, you can use a self-generated identification code (SGIC) questions that allows for anonymously connecting pre and post surveys (Audette, Hammond and Rochester, 2020). If you devise an online version of this survey, this is usually done automatically.
