What does Faculty Support include?

Faculty Support is a comprehensive enablement program including workshops, 1:1 coaching, drop-in office hours, and ongoing accompaniment. We train faculty to use AI tools confidently for tutoring, advising, content creation, and assessment—while maintaining academic integrity.

Is this training just for tech-savvy faculty?

No. The program is designed for all comfort levels. We start with fundamentals (what AI can and can't do), build practical skills with your specific tools, and provide ongoing support as faculty experiment. Many participants start skeptical and become advocates.

How do you address concerns about AI and academic integrity?

Head-on. Workshops cover responsible AI use policies, detection tools, assignment design that incorporates AI appropriately, and strategies for teaching students to use AI ethically. Faculty learn to leverage AI while maintaining rigor.

Can training be customized for our institution?

Yes. We work with your academic leadership to align training with institutional policies, strategic priorities, and specific tool deployments. Discipline-specific sessions can address unique needs in STEM, humanities, professional programs, etc.

What ongoing support is available after initial training?

Faculty have access to regular office hours, a community of practice with peers, updated resources as AI tools evolve, and dedicated coaching for complex use cases. Support continues as long as you need it—AI adoption is a journey, not an event.

Interested in an on-premise deployment or AI transformation? Calculate your AI costs. Call/text 📞 (571) 293-0242

Faculty Support

AI enablement and ongoing coaching to help teachers and instructional coaches use AI confidently and safely for personalized learning and classroom support.

Sector:

Your Code. Your Data.Full ownership, zero vendor lock-in

Any LLM, Your ChoiceWorks with all major providers

85% Lower CostSignificantly cheaper at scale

AI TransformationPre-existing and custom agents

Teacher Support — AI Enablement & Ongoing Coaching for K-12 Educators

Train, equip, and accompany teachers and instructional coaches to use AI—confidently, responsibly, and age-appropriately—for personalized tutoring, differentiated instruction, and classroom support.

What This Is

ibl.ai's education specialists and forward-deployed engineers provide a blended enablement program—collective workshops, individualized coaching, and live office hours—so teachers can adopt AI agents (mentorAI, skillsAI, courseAI, vidAI, or your tools) with comfort, control, and clear classroom value while maintaining COPPA/CIPA/FERPA compliance.

Professional services billed by the hour at ultra-competitive rates; materials and templates are yours to keep.

Who We Support

Classroom teachers (all grade bands)

Instructional coaches & curriculum specialists

Special education teachers & interventionists

Media specialists & technology integrators

School and district administrators

Program Pillars

Collective Training (School/District Cohorts)

Foundations: how AI agents work (retrieval, citations, guardrails), student safety, and age-appropriate use. Instructional Patterns: personalized tutoring, differentiated practice, formative feedback, and scaffolded reading/writing supports.

Toolkits: prompt frameworks, "do/don't" libraries, parent communication templates, and student-facing norms by grade band. Hands-On Labs: build a classroom tutor, set datasets aligned to state standards, test citations, and configure age-appropriate guardrails.

Individual Coaching & Seminars

Lesson Makeovers: co-design activities, rubrics, and AI-supported workflows aligned to your curriculum and standards. Grade-Band Clinics: early literacy, STEM problem-solving, ELL supports, special education accommodations, and project-based learning.

Prompt & Policy Reviews: refine prompts for age-appropriateness, set boundaries, add parent transparency language and IEP/504 accommodations.

Office Hours (Ongoing)Weekly drop-ins for troubleshooting, use-case vetting, and "show and tell". Micro-demos (10–15 min): tutor setup, Google Classroom integration, analytics reads, student-safety flags. Rapid Iteration: review chat transcripts for age-appropriateness, improve prompts, adjust datasets and content filters.

Safety, Ethics, and Compliance

COPPA/CIPA/FERPA-aware workflows; dataset scoping, parental consent controls, and role-based access. Academic honesty: age-appropriate assignment design, citation expectations, and disclosure guidance for families.

Accessibility by Design: WCAG practices, captioning, alt text, and inclusive prompt patterns for diverse learners including IEP/504 accommodations.

What Teachers Walk Away With (Deliverables You Keep)

Slide decks, recording links, and step-by-step guides

Prompt libraries (tutoring, differentiation, content creation) and classroom-ready templates by grade band

Parent communication templates, policy samples, and student orientation materials

Tutor configurations (datasets, age-appropriate guardrails, analytics views) for at least one target course or grade

Assessment blueprints: formative checks, feedback rubrics, and standards-aligned item banks

Engagement Model (Hours-Based, Transparent)

Discovery (hours):identify teacher needs by school/grade band/subject; finalize goals and metrics

Enablement Sprint (2–4 weeks):workshops + 1:1 coaching to ship first live use cases

Sustain Phase (ongoing hours):weekly office hours, new-semester refreshers, and advanced clinics

Billing:hourly at ultra-competitive rates; milestone agendas, attendance logs, and impact summaries provided

Impact Metrics We Track

Teacher adoption & confidence ratings

Classroom coverage: tutors deployed, datasets configured, content filters enabled

Student outcomes signals: engagement, help-seeking patterns, standards proficiency trends

Time saved on repetitive tasks (estimates from teacher self-reports)

Student safety, accessibility, and COPPA/CIPA compliance checks completed

Why ibl.ai

Education-first, not hype:pedagogy, student safety, and equity drive the agenda

Hands-on + production-ready:we build with teachers, not just talk at them

Ownable outputs:you keep prompts, templates, and configs—no lock-in

Model-agnostic expertise:we optimize for accuracy, age-appropriateness, and privacy across LLMs

Continuity:the same team that trains also supports office hours and iteration

Get Started

School Workshop Pack (hours):2–3 sessions + Q&A for your teaching staff

Grade-Band Studio (hours):deep dive for 5–10 priority courses or grade levels

District Office Hours (retainer):weekly support across semesters

What our partners say about us

Case Studies

Chris Gabriel | Google

Case Studies

Lorena Barba | George Washington University

Case Studies

Dr. Juana Mendenhall | Morehouse College

Juile Diop | MIT

Adam Tetelman | Nvidia

Jason Dom | American Public University System

Erika Digirolamo | Monroe College

David Flaten | SUNY

David Vise | Modern States Education Alliance

Linda Wood | ARM Institute (U.S. Department of Defense)

Case Studies

Chris Gabriel | Google

Case Studies

Lorena Barba | George Washington University

Case Studies

Dr. Juana Mendenhall | Morehouse College

Juile Diop | MIT

Adam Tetelman | Nvidia

Jason Dom | American Public University System

Erika Digirolamo | Monroe College

David Flaten | SUNY

David Vise | Modern States Education Alliance

Linda Wood | ARM Institute (U.S. Department of Defense)

Faculty Support

Teacher Support — AI Enablement & Ongoing Coaching for K-12 Educators

What This Is

Who We Support

Program Pillars

What Teachers Walk Away With (Deliverables You Keep)

Engagement Model (Hours-Based, Transparent)

Impact Metrics We Track

Why ibl.ai

Get Started

What our partners say about us

Frequently Asked Questions