ASHA Learning Pass

Log in and check out the Dashboard to view featured courses.

Filter Courses By
Profession
Setting [clear]
Client Age
Topic Area [clear]
Experience
Course Format [clear]
SIG
Instructional Level [clear]
Credit(s): PDHs: 2.5, ASHA CEUs*: 0.25
Summary: Clinical practice for SLPs in health care settings has changed dramatically – and continues to evolve – due to the COVID-19 pandemic. This journal self-study highlights evidence-based best practices and considerations for clinicians providing care to patients with voice and upper airway disorders, tracheostomy, and head and neck cancer during the COVID-19 pandemic to maximize patient and clinician safety while ensuring efficacious care.
Credit(s): PDHs: 2.0, ASHA CEUs*: 0.2
Summary: This journal self-study course highlights the impacts of the COVID-19 pandemic on people with aphasia, patients with cognitive communication impairments, and patient-provider communication. The findings can inform decision-making and assist SLPs in optimizing treatment for communication challenges for patients with COVID-19 as well as those for whom treatment has been altered as a result of the pandemic.
Credit(s): PDHs: 6.0, ASHA CEUs*: 0.6
Summary: This journal self-study course compares language performance in children with and without cochlear implants from preschool to 6th grade. The articles examine levels of language from phonology to prosody, offering insights into areas of strength and weakness as well as clinical directions. The first article examines consonant acquisition patterns based on hearing exposure. The second and third articles compare morphosyntactic, lexical, and phonological awareness profiles, the effect of literacy on each language skill, and types of errors produced in school-age children with and without cochlear implants. The fourth article explores differences in word-learning strategies that could affect lexical development and offers clinical suggestions based on these findings. The final article explores children’s abilities to discriminate emotional intent based on suprasegmental characteristics in the speech signal.