Part 1: Self-paced Learning
Part 1: Self-paced Learning
This first part of The IDEAL Learning Journey is a flexible experience; you choose when it's best for you/your schedule to learn. All staff are pre-enrolled in the self-paced learning in STARS. You'll start with an orientation, then take two or more of the brief Harvard Implicit Association Tests, and participate in e-learning courses. After Part 1 is completed, you're able to enroll in the interactive workshops.
Access the learning journey in STARS
Start with an orientation
Watch the orientation video to gain greater insights about the university's diversity, equity and inclusion (DEI) vision, your learning options, and the learning journey offerings. Included is a message from the Provost highlighting the importance of treating each other fairly, raising concerns, and establishing behavioral expectations. Also included: a syllabus and a demo to help you navigate the journey. Time commitment: approximately 20-25 minutes.
Next, build your knowledge with e-learning courses
Keep your learning journey going with two online courses designed to increase your awareness of implicit biases and its impact on daily interactions, as well as to provide you with strategies to reduce the impact. The e-learning was developed by the University of CA system and provides an understanding of the dimensions of bias and how to disrupt them, a fundamental component of the learning journey. Time commitment: Each e-learning course is approximately 45-60 minutes.
Note: People managers have one additional e-learning course on managing bias in the hiring process; view the Manager learning journey details webpage.
- Course 1: Implicit Bias and its Impact describes how the brain uses shortcuts and schemas to process stimuli; explains how attitudes, stereotypes, and biases form; describes and cites ways in which implicit bias affects daily actions; compares the cause/effect relationship of implicit bias, and identifies common forms of workplace biases.
- Course 2: Debiasing Techniques recognizes situations wherein an individual is prone to the influence of bias; reviews external factors that influence the bias; evaluates the influence of bias on the decision-making process; provides counterexamples and stereotype replacements, and aids in constructing a personal plan for managing the influence of implicit bias.
Along your learning journey...
Capitalize on the power of self-reflection
A Guide to Self-Reflection is available for you to easily capture your self-reflection as you proceed with your self-paced learning. To access, login with your Stanford account to the Google shared drive; if you are logged into Google with a personal Gmail account, you will not be able to access the document.
View or download the guide to self-reflection
Use curated resources to bolster your learning
Understanding your own thought patterns is an important part of the learning journey. We've curated some compelling resources, including videos and articles you can view or read as desired. In addition, the Harvard Implicit Association tests (IAT) help you understand some of your own complex thought patterns.
Part 2: Virtual, interactive workshops
Self-enroll in the workshops in STARS; they are virtual and live, led by diversity, equity, inclusion, and belonging experts.
View workshop details before enrolling in STARS
Part 1 Survey: Your opinion matters! You'll receive an invitation to spend a few minutes completing a brief survey on self-paced learning to help improve the program.
At any time, explore curated resources to bolster your learning
You decide what topics/videos/articles to explore and how much time you are able to devote.
The resources were handpicked for the learning journey but are a sampling of the many resources available related to diversity, equity, inclusion, and belonging. These resources cover a range of topics related to the learning journey, such as systemic racism, pronouns, the social model of disability, gender identity and expression, and more.
Time commitment: approximately 60-90 minutes, depending on the number of resources reviewed.