WED-016 - Using Artificial Intelligence to Draft Public Health Program Learning Outcomes
Wednesday, April 16, 2025
12:30 PM – 1:30 PM PST
Location: Pacific I/II, 2nd Floor
Area of Responsibility: Area VII: Leadership and Management Subcompetencies: 8.4 Promote the health education profession to stakeholders, the public, and others., 8.3 Engage in professional development to maintain and/or enhance proficiency.
Assistant Professor of Epidemiology King Saud bin Abdulaziz University for Health Sciences Riyadh, Ar Riyad, Saudi Arabia
Learning Objectives:
At the end of this session, participants will be able to:
Identify the key features of AI that facilitate the drafting of effective Program Learning Outcomes, focusing on context, specificity, and clarity.
Create and refine measurable Program Learning Outcomes using AI, applying best practices for educational effectiveness and alignment with program goals.
Enhance the brainstorming and revision process for Program Learning Outcomes, fostering a more comprehensive and innovative approach to curriculum design.
Brief Abstract Summary: Discover how to effectively utilize Artificial Intelligence (AI) applications such as ChatGPT to draft Program Learning Outcomes (PLOs). This presentation outlines a step-by-step approach, starting with defining clear objectives and providing contextual details about your program. Learn to request targeted examples, refine outcomes using SMART criteria, and engage in iterative dialogue for deeper insights. Gain strategies for compiling and formatting PLOs, as well as incorporating feedback from peers. Recognize the value of collaboration with AI in enhancing the clarity and relevance of educational outcomes. By the end, you'll be equipped to leverage AI to create well-structured, measurable PLOs that align with your educational goals.
Detailed abstract description: The integration of artificial intelligence, particularly tools like ChatGPT, offers a novel approach to drafting Program Learning Outcomes (PLOs) in educational settings. This guide outlines a systematic method for effectively utilizing AI to create PLOs that meet specific educational objectives. The process begins with clarifying program goals and providing contextual details to enhance the relevance of generated content. By requesting sample PLOs and iterating on them using the SMART criteria—Specific, Measurable, Achievable, Relevant, and Time-bound—educators can refine their outcomes to ensure clarity and effectiveness. Engaging in a dialogue with the AI allows for deeper exploration of competencies and skills, fostering a collaborative approach to outcome development. The final steps involve compiling the outcomes into a formal document and seeking feedback for further refinement. This structured method not only streamlines the drafting process but also enhances the quality and alignment of PLOs with educational standards.
