Educational leaders make decisions today whose consequences will unfold over decades. The buildings they plan, the curriculum frameworks they adopt, the professional development systems they build, and the technology infrastructures they invest in will shape teaching and learning long after current students have graduated. ED7818 develops the futurist thinking skills that enable educational leaders to anticipate change, evaluate trends, and make decisions that position their institutions to serve learners well in a fundamentally uncertain future.
Futuring methods for educational leaders
Systematic approaches to thinking about education's future
- Environmental scanning: ED7818 develops systematic environmental scanning — the disciplined monitoring of social, technological, economic, environmental, and political (STEEP) trends that will shape education. Unlike casual trend-watching, systematic environmental scanning involves structured monitoring of multiple information sources, pattern recognition across domains, and rigorous assessment of trend reliability (distinguishing genuine emerging patterns from media hype or short-term fluctuations)
- Scenario planning: The course covers scenario planning as a leadership tool for navigating uncertainty — developing multiple plausible future scenarios that reflect different combinations of key uncertainties, using scenarios to test the robustness of decisions (which options perform reasonably well across multiple scenarios?), and building organizational adaptive capacity to respond to different futures rather than betting everything on one predicted outcome
- Forecasting techniques: ED7818 examines quantitative forecasting (extrapolating trends, statistical modeling) and qualitative forecasting (Delphi method, expert panels, horizon scanning) methods — developing the capacity to use multiple forecasting approaches and to interpret their outputs with appropriate uncertainty awareness
- Visioning and backcasting: The course covers visioning (creating a compelling image of a desired educational future) and backcasting (working backward from a desired future to identify the steps, decisions, and investments needed to get there) as complements to forecasting — recognizing that educational leaders shape the future rather than merely predicting and adapting to it
Historical forces shaping education's future
ED7818 examines education history not as antiquarian interest but as a source of pattern recognition — understanding why past educational innovations succeeded or failed, what institutional dynamics shape the adoption and rejection of change, and what long-term forces have persistently shaped how teaching and learning are organized. The course traces the historical development of mass schooling (the factory-model school, its industrial-era origins and its persistence into the information age), the history of educational technology (from slate boards to printing presses to film to television to computers to the internet — each heralded as transformative, each ultimately absorbed into institutional structures that remained relatively stable), and the history of educational reform movements (progressive education, competency-based education, open classrooms, standards-based reform, No Child Left Behind, personalized learning — recurring patterns of reform enthusiasm, implementation challenges, partial adoption, and reform fatigue). This historical perspective enables leaders to evaluate current innovations with appropriate skepticism while remaining genuinely open to the changes that may actually reshape education.
Technology and the future of teaching and learning
ED7818 examines the technology trends most likely to reshape teaching and learning over the next decade and beyond. The course covers artificial intelligence in education (adaptive learning systems that personalize content and pacing, AI tutoring systems, automated feedback and assessment, generative AI and its implications for student work and academic integrity, AI-enhanced teacher support tools), immersive and extended reality (the growing potential of VR, AR, and mixed reality to create learning experiences that are impossible in traditional classrooms), automation and its implications for what students need to learn (as AI automates more cognitive tasks, what knowledge, skills, and dispositions retain value?), online and blended learning evolution (the post-pandemic acceleration of online learning and its long-term institutional implications), and emerging technologies whose educational implications are not yet clear (quantum computing, brain-computer interfaces, biotechnology). The course develops frameworks for evaluating these technologies against their educational potential — distinguishing genuine transformative potential from marketing hype — and for making leadership decisions about technology investment under conditions of uncertainty.
Social, demographic, and political forces
ED7818 examines non-technology forces shaping education's future: demographic shifts (changing student population composition in terms of race/ethnicity, language, socioeconomic status, immigration status, and disability — and their implications for what schools must do to serve all students effectively), economic inequality and its educational consequences (the growing gap between well-resourced and under-resourced schools, the relationship between economic inequality and educational opportunity), political polarization and education (the increasing politicization of curriculum, assessment, teacher evaluation, and educational governance — and its implications for educational leaders navigating a divided public), workforce evolution (the changing demands of the labor market as automation reshapes occupations — what does this mean for the purposes of education and the outcomes it should pursue?), and climate change (as a force that will shape where people live, work, and learn, and as a subject that students need to understand deeply).
ED7818 assignments include environmental scans, scenario plans, trend analyses, and strategic leadership responses to educational futures
Our doctoral education specialists deliver expert support for ED7818.
Get Help With ED7818
Environmental scans, scenario plans, trend analyses, futuring reports, strategic leadership responses.
Place Your OrderView All ServicesRelated courses
Frequently asked questions
This is one of the most pressing questions ED7818 addresses, and it is a question that educational leaders cannot defer — curricular decisions made today will shape what students learn for the next decade. The honest answer is: yes, AI will fundamentally change what students need to learn, but precisely how remains genuinely uncertain, and educational leaders need futuring skills to navigate that uncertainty rather than betting everything on a single prediction. The case that AI requires curricular change rests on the observation that AI systems are now capable of performing many of the cognitive tasks that schooling has historically prioritized: producing grammatically correct writing, solving standard mathematical problems, retrieving and summarizing information, coding in common programming languages, and generating creative artifacts on demand. If AI can do these things reliably and cheaply, then the marginal value of humans who can do only these things is reduced. This suggests that education should shift emphasis toward: complex problem framing and judgment (AI can generate solutions, but humans must identify which problems are worth solving and evaluate whether proposed solutions are actually good); collaborative and interpersonal skills (AI can work alone but cannot replace human relationships, care, and social intelligence); creativity and novel synthesis (AI excels at recombining existing patterns; genuinely novel thinking remains more characteristically human); ethical reasoning and values (AI systems optimize for specified objectives but lack genuine moral agency — humans must make the value judgments that determine what AI should be asked to do and what constraints should govern its use); and the meta-skills of learning and adaptation (in a world of rapid change, the ability to learn new things quickly is more valuable than any specific learned content). However, these insights don't resolve every curricular question — foundational knowledge still matters (you can't think critically about a domain without knowing it), and AI capabilities are evolving rapidly enough that predictions made today may be obsolete within years. ED7818 develops the futuring skills to navigate these uncertainties without being paralyzed by them.