Many of my questions related to their subjective experience in working with the technologies and how/why that impacted their answers, so many of the questions fell in the descriptive and diagnostic categories, but it was interesting to look at their predictions about how prepared students, teachers, schools and society are to adopt and use this kind of equipment for productive purposes. In this case it was cool to see my students be the “experts” making informed predictions based on their work. A few of the questions rose to the level of predictive analysis, but I don’t think I had anything that rose to the level of prescriptive analysis.

To get from prediction to prescription, language that is more action-oriented could be used. Questions could be included that have more of a proactive-steps-to-be-taken option for respondents with experience to advise on how to repeat or improve the chances of a particular outcome.

Because the hardware we work with is expensive and not many schools currently offer opportunities with it, if I had all the resources imaginable I would conduct a preassessment survey, provide curricular and hardware resources to schools and programs along with professional development for teachers, and then would give a post assessment survey. I would concentrate the resources first in locations with high percentages of traditionally underrepresented populations. The survey would include demographic sections towards the end (Survey Monkey, 2022), qualitative and quantitative methods for both user experience and performance results, and would be visualized in a variety of formats from printed materials to interactive online formats to flashy animated formats with a storytelling marketing team. I would also include an incentive for people to respond to the survey to increase the likelihood of responses (Survey Monkey, 2022).

Survey Monkey. “Survey Best Practices & Design Guidelines.” Survey Monkey. 2022. Retrieved February 13, 2022, from https://www.surveymonkey.com/mp/survey-guidelines/