Ariana Saunders
Associate Director, Corporation for Supportive Housing
Ariana Saunders is the associate director of the National Training Center at the Corporation for Supportive Housing. She has more than 15 years of experience in the field of program evaluation, quality improvement, and training in the nonprofit sector. Specifically, she has extensive experience in managing and evaluating child welfare, HIV/AIDS, developmental disability, behavioral health, supportive housing, and homeless services. She has experience in curriculum development and evaluation. Ariana received a master’s degree in applied social psychology from Claremont Graduate University and a bachelor’s degree in psychology from University of California, Los Angeles.
Latest from Ariana Saunders
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Accessible & Inclusive Learning: A Panel Discussion
When From Analysis to Evaluation: Tools, Tips, and Techniques for Trainers was first published in 2008, few designers thought about whether or how to ensure that their online resources would be accessible to a diverse population of learners; a focus on designing inclusive content was years away. In this closing session of our online conference marking 15 years since the book was released, we look at how far we’ve come— and how much we still need to do—to achieve the goal of learning content that is accessible and inclusive to all of our learners. Join this panel discussion for perspectives…
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Design for Inclusivity: Diversity, Racial Equity, & Inclusion
To be effective, DEI (Diversity, Equity, and Inclusion) efforts must not be isolated to DEI-specific learning and training. Similar to accessibility, design that centers on equity, inclusion, and diversity will go a long way toward reinforcing an organization’s DEI values. In this session you will learn strategies for designing learning with a DEI lens. We will explore all aspects of the design process, from assessment and content design to evaluation. Specifically, we will look at content design—sourcing diverse media resources, avoiding stereotypical images or scenarios, and minimizing jargon. We’ll also explore ways to evaluate our own learning design biases to…