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Presenter(s): Lisa Wallace, MS, CCC-SLP; Kristin Dorris, MS, CCC-SLP
Credit(s): PDHs: 2.0, ASHA CEUs*: 0.2
Summary: This on demand webinar will explore strategies and tools for providing effective coaching through telepractice for caregivers of young children with autism spectrum disorder (ASD). The speakers will discuss the benefits of telepractice for this population and provide a variety of free resources, including checklists, agendas, and a tool kit.
Presenter(s): Marianne E Gellert-Jones, MA, CCC-SLP
Credit(s): PDHs: 2.0, ASHA CEUs*: 0.2
Summary: This on demand webinar is designed for school-based SLPs who support children with complex oral feeding and swallowing needs. The speaker discusses the components of a robust feeding and dysphagia assessment, and how that assessment informs treatment decisions surrounding a student's feeding needs. The course examines effective and realistic goal development to address feeding needs within the IEP.
Autism Spectrum Disorder and Hearing Loss in Children Webinar
Presenter(s): Brigette L Wilson, MPH, MA, CCC-SLP; Myrita S Wilhite, PhD, AuD, CCC-A
Credit(s): PDHs: 2.0, ASHA CEUs*: 0.2
Summary: This on demand webinar will highlight the behaviors and characteristics typically associated with hearing loss and those typically associated with autism spectrum disorder (ASD) in children from birth to age 10. The speakers will emphasize the unique characteristics that contribute to the dual diagnosis of both ASD and hearing loss. The course will explain the impacts of social determinants of health as they relate to the diagnosis of and intervention for children with ASD and hearing loss.
Presenter(s): Ruchi Kapila, MS, CCC-SLP; Bobbi Susanne Adams Brown, MA, CCC-SLP; Rachel Rosalsky Dorsey, MS, CCC-SLP
Credit(s): PDHs: 1.0, ASHA CEUs*: 0.1
Summary: Neurodivergent SLPs (including those with dyslexia, ADHD, anxiety, autism, etc.) have unique insights and expertise, making them invaluable assets for fostering client-centered care within speech-language pathology practice. In this session, three neurodivergent SLPs who started their own private practices due to lack of supportive and accessible options discuss employment and supervision barriers. They share systemic and individualistic shifts to support neurodivergent SLPs.
Presenter(s): Katie Christensen, MS, CCC-SLP
Credit(s): PDHs: 0.5, ASHA CEUs*: 0.05
Summary: School-based SLPs who serve students with severe disabilities face unique challenges related to student outcomes, intervention planning, and workload. This recorded session from ASHA’s 2021 Schools Connect online conference explores ways to support student outcomes while balancing workload concerns. The presenter discusses long-term student outcomes, writing SMART IEP goals, and an integrated intervention approach, as well as strategies to implement these ideas in your workplace.
Presenter(s): Jennifer A Casteix, MS, CCC-SLP
Credit(s): PDHs: 1.0, ASHA CEUs*: 0.1
Summary: This discussion provides the latest available information on communication and feeding development in late preterm. infants. The presenter shares ideas on ways to best support these children and their families during initial early intervention (EI) visits.
Presenter(s): Meaghan Foody, MS, CCC-SLP; Elizabeth C Walker, PhD, CCC-A/SLP
Credit(s): PDHs: 1.0, ASHA CEUs*: 0.1
Summary: This session describes predictors of hearing aid use time for adolescents who are deaf or hard of hearing (DHH) as well as activities that target self-advocacy in this population. The session discusses the long-term goal of identifying challenges to device use in adolescents who are DHH and improving self-advocacy skills.
Presenter(s): Matthew B Fitzgerald, CCC-A
Credit(s): PDHs: 1.0, ASHA CEUs*: 0.1
Summary: This session describes a research investigation of speech recognition in quiet and noise in thousands of patients with varying degrees of hearing loss. Based on the data, the speaker provides clinical recommendations in which speech recognition in noise can become the default test of speech perception in routine audiologic assessment, and word recognition in quiet is only performed when it is likely to be suboptimal.
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