07/17/2024 12:00 PM
Math Accessibility, Part I – Math as a Language
Mathematics is foundational to STEM fields, but the focus of accessibility efforts is typically on the written word, overlooking the information conveyed in equations. In this first session on Math . . . Accessibility, we will share background information on why disability inclusion and equitable access to math content matter for disabled STEM students and professionals. We will highlight ‘math as a language,’ including the visual, auditory, and symbolic content, and what course designers and content creators should consider when making math content accessible.

Recording | Available Materials

05/23/2024
How to Achieve Accessibility and Build Community

A presentation made at the JHU APL Inclusive Meetings Lunch & Learn session that reviews accessibility requirements.

Recording

11/15/2023 12:00 PM
Math Accessibility, Part II – Equation Creation Tools
Mathematics is foundational to STEM fields, but the focus of accessibility efforts is typically on the written word, overlooking the information conveyed in equations. In Part I – Math as a Language, . . . we shared why accessible content is important for disabled STEM students and professionals. In Part II – Equation Creation Tools, we will explore accessible equation creation tools. Accessible equations use mathematical language that can be recognized and read accurately by assistive technology. We will provide an overview of the mathematical languages MathML and LaTeX and share best practices for creating accessible equations using the tools MathType, EquatIO, and the Canvas equation editor. We will provide a table of Accessible Math Languages, Tools, & Outputs that can serve as a decision tree tool as you develop mathematical content for your courses.

Recording

08/20/2025 12:00 PM
Intro to AI Prompt Engineering
This webinar will explore collaborating with AI by breaking down the essentials of writing AI prompts.
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09/03/2025 12:00 PM
Practical Strategies for AI-Resilient Assessments
This workshop helps faculty revise assessments to be resilient to generative AI tools like ChatGPT, using research-based strategies and AI-generated feedback to promote authentic learning, academic integrity, and higher-order thinking.
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