ASHA Learning Pass

Filter Courses By
Experience
Instructional Level
Presenter(s): Margaret Kenna; Amanda M Griffin; Charlotte Morse-Fortier; Kelly N Jahn; David Faller; Julie Gayle Arenberg; Michael A Cohen; Elizabeth DesRoche
Credit(s): PDHs: 0.5, ASHA CEUs*: 0.05
Summary: There is evidence that many factors contribute to the varied performance outcomes among pediatric cochlear implant (CI) recipients, including etiology and quality of the electrode neuron interfaces (ENI). This course examines a study that investigated the intersection of these factors by analyzing the records and device settings for 156 children with confirmed diagnoses of either enlarged vestibular aqueduct (EVA) or Connexin-26 mutations.
Presenter(s): Mary O’Leary Kane, MA, CCC-SLP
Credit(s): PDHs: 1.0, ASHA CEUs*: 0.1
Summary: Many school-based personnel are unsure how to best support students with cochlear implants, and this session explores how clinicians across settings (clinics and schools) and professions (audiologists, SLPs, and educators) can work together to help students reach their goals. This course is a recorded session from the 2019 online conference “Audiology 2019: Cochlear Implants.”
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.