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By 2028, the U.S. will have the largest percentage of foreign-born individuals since 1850 with non-Hispanic whites in the 18-29 age group in the minority. These changing demographics require a major shift in education practices that will affect these residents' ability to continue their education, recruit for civilian careers, enlist in the military, and simply navigate in a digital society. These residents have a range of challenges from language barriers to lack of access to the Internet and mobile devices that must be addressed. Extended Reality (XR) technologies, interwoven with learning theories, offer solutions to these challenges. This paper presents a study of XR-enabled educational delivery models with the community of Storm Lake to enhance students’ aspirations for Science, Technology, Engineering, and Mathematics (STEM) careers. Storm Lake is a rural Iowa community with a large low-skilled workforce employed in the agroindustrial sector and a K-12 student population that is 64% English Language Learners and 85% students of color. The research began with co-design activities (formal process actively involving all stakeholders) with teachers, students, and families in the community without technology use. Analyzed study data showed that traditional technology development and deployment practices would not effectively educate or inspire students on their own. For example, providing teachers with XR devices creates a training burden to properly operate, often resulting in unused technology. Co-design activities, with place-based challenges in XR environments, were effective for students to learn STEM-related content. Co-design activities concluded in a three-day summer workshop for 10 high school students. At the workshop, students defined place- based challenge(s) in their community and implemented an XR technological solution in software and hardware. Assessments showed positive results from the students on several measures, including evidence that the workshop contributed to seven of the 10 applying to a university in a STEM major. 

Most small and rural communities in the United States are shrinking. This population loss is often accompanied by economic and social upheaval—job losses, out migration of young people, school closures, reductions in local services, and deteriorating physical infrastructure. Because design firms cluster in metropolitan areas and most rural commissions are for private clients, architects are largely absent from these places. The AIA Framework for Design Excellence calls for the professional community to enable more sustainable, resilient, and inclusive environments, yet rural places pose a challenge because they remain a strikingly underserved market for architectural services. How can this vision for Design Excellence extend its reach into places where new construction is rare, and architects are not present to learn from and develop relationships with potential clients?This paper presents an overview of an interdisciplinary research project at Iowa State University funded by a $1.5 million grant from the National Science Foundation. The research begins with this question: why do people in some rural towns perceive their quality of life to be increasing even when the population continues to shrink? Using twenty years of survey data about quality of life, the team identified small rural communities in Iowa where the typical association of population loss with community decline did not appear to hold true. Through interviews, site visits, spatial analysis, and data analysis using machine learning and other methods, the team is working to better understand what influences people’s perceptions of quality of life. Understanding more about these unexpectedly resilient communities requires conversations and building trust in places where few outsiders ever visit. Examples of projects in towns working with the research team include adaptive reuse of closed schools and other abandoned properties; improved recreational spaces and parks; and repurposing underused commercial properties. 

Estimates of resident satisfaction with public education have great utility in public administration, especially among decision makers in shrinking small communities. But such estimates are typically obtained via surveys, which are costly and often unreliable at high spatial resolutions given low response rates. Our study found that satisfaction with public schools among residents of small communities can be reasonably estimated at the community level using public data. Several models generalized adequately to unseen data—these models typically included the following covariates: state student assessment scores, school reorganizations, net open enrollment, and the cost of educational outcomes relative to neighboring districts. Our findings thus amount to a cost‐effective survey alternative for gauging satisfaction with public schools in small Iowa communities.