This course prepares nursing educators, including faculty, college instructors, clinical placement supervisors, and simulation facilitators, to lead the governed integration of artificial intelligence across all domains of nursing education: theory, clinical practice, and simulation. You will progress from developing critical AI literacy to designing evidence-informed teaching and assessment strategies, applying AI in clinical supervision and simulation, and ultimately leading program-level implementation and governance.
Throughout the course, you’ll create a practical workplace-ready artifact for your own educational context grounded in current evidence, regulatory expectations and professional standards. By the end of the course, you will have developed a leadership-level AI integration and governance brief suitable for curriculum committees, accreditation reviews, or institutional planning, along with the verification practices and professional judgment needed to confidently lead AI adoption in nursing education.
Program Information
What you’ll learn AND DO IN AI Integration in Nursing Education:
- Evaluate the AI technologies now shaping nursing education and recognize where they help and where they fail.
- Apply a practical verification workflow to check AI-generated educational and clinical content against trusted evidence.
- Design AI-supported teaching and assessments that strengthen clinical reasoning and protect academic integrity.
- Govern student and educator AI use across theory, clinical placement, and simulation, including privacy obligations under PHIPA and PIPEDA.
- Lead equity-informed AI integration that accounts for the digital divide and the needs of diverse learners.
- Build a program-level AI governance and readiness brief you can take to a curriculum committee or accreditation review.
Leading AI Integration in Nursing Education is for:
- Nursing faculty members teaching theory and classroom courses
- College and university nursing instructors revising courses and curricula
- Clinical placement instructors and preceptors supervising students in practice
- Simulation facilitators designing and debriefing scenarios
- Program leaders and coordinators responsible for AI governance, curriculum, and accreditation
Module 1:
Foundations, Ethics, Governance and Professional Accountability
Module 2:
AI-Enhanced Teaching, Learning and Assessment Redesign
Module 3:
AI in Clinical Education and Simulation Practice
Module 4:
Curricular Leadership, Innovation and Sustainable Integration
All necessary materials are included in course fees.
This is an asynchronous, instructor-led course with defined start date, end date and specific module due dates. Learners are not expected to be online at a certain time of day, but they are expected to work through the material and interacting with their instructor. Learners should expect to spend approximately 5-8 hours per week on coursework throughout each week to meet course requirements.
Prerequisites
- No prerequisites are required to take this course.
Technology Requirements
For in-person and online studies:
- Laptop: Minimum Windows 10 or equivalent operating system. Recommended 8GB of RAM and at least 16 GB of free hard disk space and Wi-Fi capabilities.
Online studies only:
- Access to reliable high-speed broadband internet access (Cable, DSL, LTE) with a minimum bandwidth of 15 Mbps is recommended.
- Laptop must include integrated webcam and microphone.
To successfully complete your program, you will complete all components of the program. Your progress will be continuously evaluated using a variety of formative and/or summative assessments to receive a final mark. Information about these assessment methods will be provided in the Learning Management System on the first day of the program.
| Course Detail | Course Info |
|---|---|
| Code | PCSL 9N588 |
| Price | $695 + HST |
| OSAP Eligible | Pending |
| Delivery Mode(s) | ASY - Asynchronous Online |
| Duration | 8 Weeks |
| Intake Details | More Info |