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Shaping Strategy at the Intersection of Education & AI

Shaping Strategy at the Intersection of Education & AI

Shaping Strategy at the Intersection of Education & AI

Project Description

Project Description

Partnered with academic leadership at Illinois Tech to translate research on higher education, enrollment, AI, and industry trends into strategies for institutional growth and transformation.

Designed the adoption strategy for a 100+ student graduate guarantee program, developed a 2026–2030 roadmap for the Computer Science department, and supported the restructuring of the Institute of Design into two new colleges—helping leadership navigate complex organizational decisions with evidence, foresight, and design.

Role

Role

Design Strategist & Researcher

Team

Team

Academic Strategy Leadership
Academic Strategy Supervisor
Academic Strategy Intern (me)

Toollkit

Toollkit

Design Research
Design Strategy
Behavioral Design

Year

Year

2026

2026

Project Overview

As Illinois Institute of Technology navigated an increasingly uncertain landscape, it faced a challenge to strengthen its promise of relevant, affordable, and accessible education. New strategic timelines created an opportunity to look beyond conventional academic planning—to examine emerging trends, interdisciplinary research, and shifting student and industry needs—helping academic leadership turn these signals into actionable frameworks, strategic roadmaps, and implementation recommendations.

Project Challenge

The institution was facing four converging pressures at once: declining enrollment in Computer Science, leadership uncertainty on how to respond to the accelerating disruption AI was bringing to the field, a student experience that felt transactional rather than connected to the institution as a cultural and intellectual hub, and an upcoming restructuring of the university itself. 

Project Impact

Project Impact

The work gave leadership two things they didn't have before: a tested adoption strategy for a flagship graduate program, and a research framework robust enough to inform how the institution reorganized itself—including two new colleges: Designing Futures and Design & Society.

Metrics of Success

Metrics of Success

28%

28%

Increased program enrollment

The Elevate Program was adopted and implemented for over 100 students in its first semester, driving a 28% increase in enrollment.

+2

+2

Newly structured colleges

The CS Department strategy—still in progress—directly informed leadership's decision to restructure IIT's design and AI programs

Approach

Approach

The team split its focus across two parallel tracks, guided by a shared principle: ground every recommendation in research before proposing a direction.

This created a productive tension between grounded and speculative design, allowing us to explore what could be while remaining anchored in what the research revealed.

Timeline

Timeline

12 weeks

Insights

Insights

Ambiguity becomes actionable the moment you give it constraints and structure

Ambiguity becomes actionable the moment you give it constraints and structure

Neither disengaged students nor AI disruption were problems leadership could act on as stated—they were too fragmented, too diffuse, too anxiety-inducing to make decisions against. Both strategies did the same underlying work in two different contexts: they broke an overwhelming, amorphous shift into named, sequenced parts leadership could actually commit to, one piece at a time.

A polished strategy only works if it offers more than one way in—versatility is key

A polished strategy only works if it offers more than one way in—versatility is key

A single narrative doesn't travel across an audience this varied—whether that audience is a student body split across majors or a department split across research priorities. Reframing the same journey across varying embodiments rather than one general mandate proves relevance is contextual, and a strategy has to meet people where their own sense of purpose already is.

Strategies that survive implementation are built as evidence, not opinion

Strategies that survive implementation are built as evidence, not opinion

Neither piece of work was accepted because it was persuasive—it was accepted because it was defensible. Grounding interventions in research before proposing a direction is what let them move from recommendation to real institutional consequence: a program adopted within a semester, and a restructuring decision leadership could stand behind.

Ambiguity becomes actionable the moment you give it constraints and structure

Neither disengaged students nor AI disruption were problems leadership could act on as stated—they were too fragmented, too diffuse, too anxiety-inducing to make decisions against. Both strategies did the same underlying work in two different contexts: they broke an overwhelming, amorphous shift into named, sequenced parts leadership could actually commit to, one piece at a time.

Strategies that survive implementation are built as evidence, not opinion

Neither piece of work was accepted because it was persuasive—it was accepted because it was defensible. Grounding interventions in research before proposing a direction is what let them move from recommendation to real institutional consequence: a program adopted within a semester, and a restructuring decision leadership could stand behind.

A polished strategy only works if it offers more than one way in—versatility is key

A single narrative doesn't travel across an audience this varied—whether that audience is a student body split across majors or a department split across research priorities. Reframing the same journey across varying embodiments rather than one general mandate proves relevance is contextual, and a strategy has to meet people where their own sense of purpose already is.

Interventions

Interventions

Key Design Principle

The approach meant building archetypes grounded in real student patterns, then stress-testing two different paths to adoption so leadership could weigh a safe bet against a bolder one with a full view of the tradeoffs.

The Elevate Program Blueprint—two paths, one journey

The Elevate Program Blueprint—two paths, one journey

Designed two alternative adoption strategies for the Elevate Graduate Program built around a four-year journey structure that simplified the interconnected evolution of student life within it.

The alternatives included a low-risk, on-brand redesign, and a bolder reimagining with metaphors tailored to different student archetypes.

Designed two alternative adoption strategies for the Elevate Graduate Program built around a four-year journey structure that simplified the interconnected evolution of student life within it.

The alternatives included a low-risk, on-brand redesign, and a bolder reimagining with metaphors tailored to different student archetypes.

Key Design Principle

The approach meant building a research framework capable of holding a much harder question: how should a department reposition itself when the discipline it teaches is being reshaped by the technology it studies.

The EI³+AC Research Framework for the CS Department

The EI³+AC Research Framework for the CS Department

Built a six-pillar research framework—Excellence, Innovation, Access, Collaboration, Integrity, Impact—to translate the disruption AI was bringing to computing education into a structured, actionable 2026–2030 roadmap for the department. Each strategic principle held implications across all framework pillars, which held space for the complexity and multidisciplinary nature of upcoming shifts.

Built a six-pillar research framework—Excellence, Innovation, Access, Collaboration, Integrity, Impact—to translate the disruption AI was bringing to computing education into a structured, actionable 2026–2030 roadmap for the department. Each strategic principle held implications across all framework pillars, which held space for the complexity and multidisciplinary nature of upcoming shifts.

Conclusion

Both tracks of this work point to the same underlying belief: that institutions navigating disruption — whether from enrollment pressure or from AI itself — need more than urgency to move forward. They need evidence, a framework for holding complexity, and a design process that treats people's sense of belonging and purpose as strategic variables, not soft ones. That combination is what turned two research efforts into decisions with real institutional weight — and it's the same lens I bring to organizations navigating similar inflection points today.

MADE IN MEXICO © 2026

When you lead with curiosity, there is no failure, only discovery.

MADE IN MEXICO © 2026

When you lead with curiosity,

there is no failure, only discovery.

MADE IN MEXICO © 2026

When you lead with curiosity,

there is no failure, only discovery.