Power Up Conference, Day 1
There is an increasing number of culturally and linguistically diverse (CLD) students, who are English Language Learners (ELLs) or speak dialects other than Standard American English, in America’s schools. Professionals frequently experience challenges with differentiating language differences from language impairments in culturally and linguistically diverse students who are struggling in school. This workshop addresses non-biased assessment strategies and materials that can be used to contribute to appropriate eligibility decisions.
CA SLPAHB: 1.0 Self-Study
CMH: 1.0 Self-Study
Dr. Lamitra Baez is a full-time assistant professor for the Communication Sciences and Disorders Department at Loma Linda University. Since 2003, she has skillfully held a variety of SLP positions with emphasis in working with infants, toddlers, preschoolers and school-aged children with various speech and language disorders. Her professional interests include language disorders, differential diagnosis, and cultural diversity. She often lectures on issues relevant for serving culturally diverse populations. She holds a PhD in Educational Psychology, where her research focused on the relationship between culturally competent teaching and special education referrals for African American students.
Participants will summarize federal and state regulations and ASHA guidelines pertaining to nonbiased assessment of CLD students.
Participants will identify potential sources of bias on standardized language tests used to assess CLD students.
Participants will apply culturally responsive methods for differentiating between language differences and language impairments in CLD students.
This course must be watched in its entirety. In order to receive the CMH or the CEU certificate, a quiz is required to be completed with 80% success.
Financial: Dr. Baez received a speaking honorarium for this presentation.
Non-Financial: No relevant non-financial relationship exists
5 mins – Disclosures, Introduction
15 mins IDEA regulations
20 mins Bias in Assessment
20 mins Recommendations, Discussion