PCSL 9N588 - Leading AI Integration in Nursing Education
Programming Description
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.
Course Outline
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Module 1 |
Foundations, Ethics, Governance and Professional Accountability |
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Module 2 |
AI-Enhanced Teaching, Learning and Assessment Redesign |
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Module 3 |
AI in Clinical Education and Simulation Practice |
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Module 4 |
Curricular Leadership, Innovation and Sustainable Integration |
Learner Outcomes
What you’ll learn and do in Leading AI Integration in Nursing Education: From Literacy to Practice
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Evaluate the AI technologies now shaping nursing education and recognize where they help and where they fail.
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Apply a practical verification workflow to check AI-generated educational and clinical content against trusted evidence.
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Design AI-supported teaching and assessments that strengthen clinical reasoning and protect academic integrity.
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Govern student and educator AI use across theory, clinical placement, and simulation, including privacy obligations under PHIPA and PIPEDA.
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Lead equity-informed AI integration that accounts for the digital divide and the needs of diverse learners.
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Build a program-level AI governance and readiness brief you can take to a curriculum committee or accreditation review.
Notes
TIME COMMITMENT: This is a 40 hour micro-credential This time allotment includes ongoing and active participation in online discussions, the completion of readings, assignments and tasks.
OSAP Eligibility: This course will qualify for OSAP funding as a micro-credential after September 1, 2026
