Generative AI for Learning Design – Professional Development Session

This artifact reflects my participation in a professional development session focused on generative AI literacy for learning designers. Led by the LXD, Melissa McCurry, the session introduced foundational concepts such as multimodal tools, types of prompting (zero-, one-, and few-shot; chain-of-thought; role-based), and use cases relevant to instructional design. We also explored best practices for crafting effective prompts, strategies for evaluating AI-generated outputs, and key ethical considerations around authorship, bias, and transparency in educational contexts.

Core Competencies

  • Using Knowledge of Technology Affordances and Constraints

    This session provided both foundational AI literacy and practical strategies for working with generative tools in design workflows. I learned how to evaluate different types of prompts and output, experiment with various interaction styles, and recognize the limitations and ethical risks of using these tools. It helped me move from casual use to more intentional, purpose-driven experimentation with AI.

  • Fostering Workplace Skills and Professional Relationships

    As an internal workshop, this session fostered team dialogue around emerging tools and shared concerns. It strengthened our collective literacy and supported collaboration within the design team.

This session deepened my understanding of how generative AI works: how prompting shapes the quality and relevance of what those tools produce. I left with a stronger sense of how to use prompts intentionally and how to evaluate the usefulness of AI output. I also became more aware of the broader implications of using AI in education—especially around issues of transparency, bias, and responsibility. This session gave me the language, strategies, and critical lens I needed to use AI more thoughtfully in my own design practice.