New: The 2026 research reports are live. Explore reports and essays →
Research-backed AI implementation for higher education

AI is already in your classrooms. The question is whether your institution is shaping it well.

Navigate AI helps colleges and universities move from scattered experimentation to coherent institutional practice through faculty fluency cohorts, AI bootcamps and workshops, student fluency pathways, and CourseReady AI review.

Built from original faculty and student research, not generic AI hype.
Packaged offers institutions can actually implement, budget, and scale.
Stronger assignment design, clearer governance, and more credible student fluency.
Designed for provosts, CTLs, chairs, online learning leaders, and innovation teams.
FAFI TEACH META AI Fluency Map CourseReady AI
Institutional snapshot
From activity to coherence
Sample implementation view
464Students in Navigate AI's longitudinal research base across three annual cohorts.
3 yrsOriginal higher education AI research informing every framework, offer, and implementation model.
OR=1.51Ethical readiness — not tool exposure — is the strongest predictor of faculty AI adoption.
<40%Of institutions have a functioning AI policy. The window to lead rather than scramble is now.
Why institutions get stuck

Lots of activity. Not enough coherence.

Many campuses have pilots, policies, and pockets of experimentation. Fewer have a clean model that connects faculty development, student expectations, course redesign, and governance into something leaders can actually see and scale.

How do we support faculty without flattening pedagogy?
How do we redesign assignments without collapsing into surveillance or naïve prohibition?
How do we distinguish real student fluency from shallow tool dependence?
How do we move from one-off workshops to an implementation model?
See the institutional pathway
From the research

What three years of original data taught us about faculty AI adoption.

OR
1.51
Ethical readiness predicts adoptionNot tool exposure. Not training hours. Ethical confidence is the single strongest predictor of faculty moving from passive agreement to active, competent AI use. (p < .001)
71%
Faculty cite lack of trainingNearly three-quarters of faculty name inadequate professional development as their primary barrier — not skepticism, not policy, not tools.
464
Students across 3 cohort yearsLongitudinal research, not a single snapshot. The frameworks and offers are built on patterns that held across multiple years of data.
Read the full research →
Four institutional offers

Four ways to help your institution move from uneven adoption to coordinated practice.

These are not generic workshops. Each offer is designed to solve a distinct institutional problem and produce deliverables leadership can actually use.

Faculty development

Faculty AI Fluency Cohorts

01

Structured, research-informed faculty development built around real differences in readiness, trust, and pace.

Pre/post benchmark pathway using FAFI or aligned growth measures
Assignment and assessment redesign work, not just tool demos
Leadership reporting, debriefs, and actionable implementation insight
Strategy + policy

AI Bootcamps & Workshops

02

Short engagements that turn scattered AI activity into priorities, policy guidance, and a practical roadmap.

Department, college, or campus-level sprint options
Gap analysis across policy, support, course design, and implementation
Action plan leaders can use immediately
Student capability

Student AI Fluency Curriculum

03

A structured pathway that helps students move from casual use toward more disciplined, ethical, and context-aware AI practice.

Built on the AI Fluency Map across six domains and four levels
Available as embedded, microcourse, bootcamp/seminar, or pathway-based implementation
Supports more consistent expectations across courses
Course quality

CourseReady AI Review

04

ATQS-powered course review for institutions that need a more credible answer to the question: are our courses actually ready for AI-integrated teaching?

Six-domain review across alignment, transparency, design, assessment, fluency, and ethics
Single course, department package, or broader institutional review options
Clear improvement priorities and recognition pathway
New open faculty resource

The AI Pedagogy Atlas makes AI-era teaching strategies easier to find and easier to use.

Faculty can browse the open Atlas by teaching goal, assessment type, delivery mode, and implementation lift. Then they can grab a free starter PDF for a quicker, more portable entry point.

164 strategy entries visible in the open explorer, with 24 deeper starter guides in phase one
Useful for individual faculty, CTLs, bootcamps, assignment redesign labs, and faculty follow-through
Open access browsing plus a free Starter Edition PDF — no login required to browse
AI Pedagogy Atlas preview
What makes Navigate AI different

Not every faculty member starts in the same place.

Navigate AI's research found that faculty approach AI adoption differently based on readiness, trust, and use case — not just interest. Support that ignores those differences produces uneven results. Support that accounts for them produces measurable change.

BelieversHigh curiosity and momentum, but often inconsistent on pedagogy, transparency, or governance. Support with stretch redesign work and leadership pathways.
AdoptersOpen to AI but practical and selective. Support with clear workflows, examples, and discipline-specific implementation guidance.
SkepticsConcerned about integrity, quality, or mission drift. Support with trust-building, strong assessment logic, and human-centered boundaries.
What Navigate AI is not

Not a keynote shop. Not a framework museum.

There is no shortage of AI enthusiasm in higher education. What most institutions actually need is implementation — clear deliverables, measurable faculty growth, and course-level change that holds up under scrutiny.

Not thisGeneric AI inspiration, abstract thought leadership, or a parade of disconnected frameworks with no implementation path.
InsteadProductized offers tied to faculty fluency, governance, course quality, and student capability — with deliverables leaders can actually use.
Not thisOne-size-fits-all faculty support that ignores real differences in readiness, trust, and pace.
InsteadSupport calibrated to how faculty actually approach adoption — grounded in longitudinal research, not assumptions.
Not thisSoftware-first language that pretends technology alone solves the pedagogical problem.
InsteadImplementation work grounded in course design, professional judgment, and institutional practice.
Research and thought leadership

Three free 2026 reports on where AI is actually going in education, marketing, and business.

Navigate AI's 2026 research series draws on original longitudinal data, sector surveys, and real implementation patterns — not recycled AI hype. Each report is free to download.

State of AI in Education 2026
Education 2026

Faculty fluency, governance gaps, course redesign, and student readiness for institutions moving beyond awareness.

Download the report →
State of AI in Marketing 2026
Marketing 2026

The Output Trap, the Confidence Paradox, and the 7 Anchors of Human-Centered Marketing. For CMOs and marketing educators.

Download the report →
State of AI in Business 2026
Business 2026

The J-Curve adoption model, the Toy-Tool-Zombie framework, and what implementation lag means for business leaders.

Download the report →
Individual faculty pathway

Faculty can also engage individually — not just through institutional cohorts.

Navigate AI's Faculty AI Fluency Certification Program is open to individual faculty as well as institution-sponsored cohorts. Three Foundations levels — Ignite, Build, and Elevate — plus the LEAD Series for faculty moving into leadership roles.

IgniteFor faculty beginning their AI fluency journey and building foundational judgment, vocabulary, and classroom application.
BuildFor faculty ready to redesign assignments, sharpen assessment logic, and integrate AI more intentionally into practice.
Elevate + LEAD SeriesFor faculty leaders, mentors, and institutional champions moving into Support, Strategy, and Fellowship work.
Founder
Dr. Ryan Baltrip

Dr. Ryan Baltrip

Clinical Assistant Professor of Marketing at Old Dominion University · E.V. Williams Fellow for AI in Teaching & Learning · Founder of Navigate AI

Original ResearchThree-year longitudinal study of 464 students — the foundation of every Navigate AI framework and offer.
Framework StackTEACH, META, FAFI, SCALE, AI Fluency Map, and ATQS — developed from teaching practice, not from the sidelines.
In the ClassroomTeaches MKTG 319: AI in Digital Marketing Management at ODU — every framework is actively tested in live courses.
Published & CitedAuthor of The Golden Algorithm and three 2026 AI sector reports covering education, marketing, and business.
For Business & Marketing Leaders

Navigate AI extends beyond higher education into business strategy, marketing leadership, and ethical AI governance.

The same research base that informs the education work also produced two 2026 sector reports on AI in business and marketing — plus The Golden Algorithm, a framework for ethical AI decision-making built for executives, strategists, and leaders who need more than hype.

From the Blog

Latest from Insights

View all posts →
Institutional next step

Bring coherence to your campus AI work.

If your institution already has pilots, policy questions, faculty activity, or scattered experimentation, Navigate AI can help you build the next layer: stronger faculty fluency, clearer governance, more intentional student capability, and more credible course quality.

Shopping Cart
Scroll to Top