AI Training for Social Work Educators & Faculty
Practical, values-grounded workshops and policy frameworks for BSW, MSW, DSW, and PhD deans, program directors, faculty, and field education leaders
AI Isn't Just Changing How Students Learn. It's Changing the Profession You're Preparing Them For.
Your students are already using AI. Not someday — right now, in the papers they submit, the placements they walk into, the case scenarios they think through before they've sat with a real client.
The real question isn't whether they should. It's how AI is changing teaching, assessment, academic integrity — what it means to prepare someone for a profession still shifting in real time.
Higher education hasn't figured this out either. Your syllabus language is probably borrowed from a department that doesn't share your values. Your placement agencies each have their own rules, and your students are caught between them. Some of your faculty are already using AI with intention. Others haven't started.
You're not behind. You're just the one who has to decide something — this semester, while the rest of the field is still arguing.
Maybe You're Navigating Questions Like These...
"Every student is using ChatGPT, and I can't tell what's theirs anymore." How do we assess critical thinking, professional judgment, and learning outcomes when AI has become part of the process?
"Our AI policy was adapted from another department and doesn't reflect social work." How do we create guidance that aligns with social work values, ethics, and professional responsibilities—not just institutional compliance?
"Field agencies all have different expectations around AI use." How do we prepare students to navigate practice settings where the rules, risks, and opportunities vary from one organization to the next?
"Some faculty are experimenting with AI. Others are hesitant to engage with it." How do we move beyond individual comfort levels and create a shared approach across the program?
"We're preparing students for a profession that's changing in real time." How do we teach responsible AI use without losing the human relationships, critical thinking, and ethical decision-making that define social work?
That's why my work with programs isn't about keeping up with a trend. It's about helping faculty move from reacting to AI, to intentionally designing for it.
AI Education & Training for Social Work Programs, Not Generic Higher Education
Designed by a social work educator for faculty, field directors, and program leaders navigating the realities of AI in social work education.
Designed by a Social Work Educator
Rooted in social work pedagogy, professional ethics, academic integrity, and critical thinking—not generic faculty AI training.
Support for Field Education & Practicum Programs
Guidance, policies, and supervision frameworks designed for the realities of field placements, agency partnerships, and practicum education.
Flexible Support for Programs at Any Stage
From faculty development workshops and conference presentations to curriculum redesign and program-wide AI policy development.
This Is About Preparing Students for a Changing Social Work Field. Not Chasing Them Around AI.
Not sure where to start?
Contact Us For a Free Assesment
Built by a Social Work Educator, Not a Tech Company.
Programs often reach out looking for an AI policy.
What they're really looking for is someone who understands what's actually at stake in the classroom.
Most people teaching faculty about AI come from instructional design or ed-tech — not from social work. I come from social work first, and from the classroom second. I'm a licensed clinical social worker with a doctorate, and before I was helping programs navigate AI, I was the one writing the syllabus, sitting on the curriculum committee, and standing in front of students who were about to walk into their first field placement.
I understand what your program is up against because I've been inside it — the difference between academic integrity policy and authentic assessment, the reality that a syllabus clause borrowed from another department doesn't hold up in a professional ethics course, and the weight of preparing students for a field that hasn't fully figured this out either.
That's the foundation my work builds on: combining practical AI education with the pedagogical and ethical grounding social work education has always relied on. The goal isn't simply to write a better AI policy. It's to prepare students, thoughtfully and rigorously, for the profession they're about to enter.
Is This for You? Curriculum, Faculty Development & Field Education
for Social Work Programs
Deans and Program Directors
Focused on: program-wide AI policy, curriculum consistency across faculty, having a shared standard before accreditation or a parent institution asks.
Faculty Teaching Core & Clinical Coursework
Focused on: assignment design, academic integrity, and assessing student learning when AI is already part of how students work.
Field Education Directors
Focused on: inconsistent AI rules across placement agencies, preparing students to navigate practice settings where expectations vary from site to site.
BSW, MSW & DSW Program Leadership
Focused on: building one shared approach across the program instead of five different faculty comfort levels.
3 Pathways to Bring This to Your Department: AI Training for Social Work Education & Faculty
AI is already inside your classroom, your assignments, and your field placements — whether your department has a plan for it or not.
You don't need to solve all three at once. You need a place to start.
PATHWAY 1
Faculty Development in Teaching & Learning
A teaching partner, not a threat to academic rigor.
For faculty groups and departments ready to use AI without losing professional judgment.
You don't need to ban AI from your classroom. You need a way to teach around it, intentionally.
This pathway covers course design, lecture prep, rubric creation, discussion facilitation, grading feedback, case scenarios, and simulation activities — plus hands-on prompting techniques faculty can use to reduce administrative burden, all while keeping accessibility, bias, equity, and academic integrity front and center.
Key Deliverable: Concrete workflows and sample prompts you can use in your next lecture
Workshops:
Leverage AI for Teaching: Practical Strategies for Social Work Educators
AI Literacy & Prompting for Professors
PATHWAY 2
Curriculum & Assignment Redesign (The AIAS Framework)
A framework for assessing real critical thinking, not just catching AI use.
For course leads and curriculum committees ready to move past simple prohibition policies.
A ban isn't a policy. You need a way to redesign assignments so they still measure what they're supposed to measure.
This pathway introduces the AI Assignment Scale (AIAS) — a practical tool for evaluating and rebuilding assignments so they assess genuine critical thinking and social work values, alongside real syllabus language you can adapt for your own course.
Key Deliverable: The AIAS framework + sample syllabus policy text
Workshops:
Building an AI-Literate Classroom: Co-Creating Course Syllabus Policies
Assignment Design & The AIAS Framework
PATHWAY 3
Field Education & Practicum Programs
One program standard, even when your placement agencies don't agree.
For Directors of Field Education, practicum coordinators, and field instructors.
Your placement agencies each have their own rules. Your students still need one program to answer to.
This pathway prepares field instructors to integrate AI into supervision responsibly, and builds department-wide policy that reconciles inconsistent agency expectations — covering client privacy, informed consent, documentation, and accreditation standards.
Key Deliverable: A Customizable Practicum AI Policy Template, Student & Instructor AI Use Agreement, AI Decision-Making Framework, and Field AI Readiness Checklist
Workshops:
AI Use in Field Practicum Instruction: Ethical and Responsible Practices
Creating AI Policies for Social Work Practicum Programs: A Departmental Framework
AI Training Outcomes for Social Work Programs: Prepared, Not Just Compliant
Get Your Time Back for Actual Teaching. With real workflows and sample prompts for lecture prep, rubric creation, and grading feedback, so less of your week goes to administrative prep and more goes to your students
Stop Guessing Whether Students Actually Learned It. With the AIAS framework, a way to assess genuine critical thinking instead of just catching AI use
One Policy Every Course Can Point To. With real syllabus language every faculty member can adapt, instead of five different comfort levels across your department.
Walk Into Any Room With an Answer Ready. A Practicum AI Policy Template, Student & Instructor Agreement, Decision-Making Framework, and Readiness Checklist, whether it's a field instructor asking or a faculty meeting putting you on the spot
Know Your Students Are Actually Ready. Not just compliant with a policy, but genuinely prepared for a profession that's already changing around them
There are plenty of conversations about AI in higher education.
What social work programs need is a way to prepare students for the realities of practice while staying grounded in professional values.
Whether you're revising assignments, supporting faculty, strengthening field education partnerships, or creating program-wide guidance around AI, these workshops help your department move from reacting to AI to intentionally designing for it.
When we work together, you'll leave with more than policies and faculty resources.
You'll leave with greater confidence that your program is preparing future social workers for a profession that is already changing.
Trusted by accredited MSW, DSW & PhD
Social Work Programs
BEFORE YOU ASK
AI for Accredited Social Work Programs
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I know higher ed moves on its own rhythm, so sessions are built around your program's schedule — a dedicated Faculty Development Day, a curriculum committee retreat, or a virtual session timed to field instructor orientation. Tell me your constraints on the discovery call and I'll build the engagement around them, not the other way around.
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Yes.
Field directors face a real problem: students move across dozens of community placement agencies, each with its own AI policy, or none at all.
This is a growing part of my work, and I offer dedicated sessions for field coordinators, practicum directors, and field instructors to build shared supervision rules, student agreements, and risk frameworks that actually hold up across those placements. -
All of the above.
My frameworks, including the AI Assignment Scale (AIAS), adapt across BSW, MSW, DSW, and PhD curriculum levels.
On our scoping call, I tailor the case studies and discussion scenarios to your specific student body — foundational practice for undergraduates, advanced research and practice for doctoral candidates. -
I work directly with university purchasing systems, department honoraria, and grant-funded faculty development budgets.
Pricing follows the same equity-based sliding scale as my other engagements, based on department size, program scope, and whether you're looking for a single session or a semester-long policy engagement. -
Every session leaves you with something to use, not just slides. Faculty receive customizable syllabus policy templates, the full AIAS assignment redesign toolkit, reusable prompt libraries for lesson planning, and a customizable AI use agreement for field practicum supervision.
NOT SURE IS THE RIGHT FIT?
Different Training Categories
FOR LEADERSHIP
Agencies & Leadership
Strategic AI guidance for directors, executives, and decision-makers shaping organizational policy.
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FOR PRACTITIONERS
Clinicians & Field Settings
Curriculum-integrated AI training for social work programs, faculty, and MSW students.
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FOR EVENTS
Keynote Speaking
Signature talks on ethical AI, the future of the profession, and human-centered technology.
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Bring Clarity to Your Program's AI Future
Ready to equip your staff with ethical, practical AI skills?
Whether you're developing your first AI policy, supporting clinical supervisors, educating leadership teams, or helping your board understand its role in AI governance, the goal is the same: creating a thoughtful, ethical approach to AI that reflects your mission and values.