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Results 11 - 14 of 14
Credit(s): PDHs: 2.5, ASHA CEUs*: 0.25
Summary: In an ever-changing global landscape, it is pertinent that audiologists and speech-language pathologists “account for the complexity and diversity of healthcare contexts” (as stated in the second article by Pillay and Pillay). Pressing concerns related to advancing technology (artificial intelligence and machine learning), culturally responsive practice, and rapid climate change are all trending societal conversations. This SIG 17 self-study explores creative solutions to pressing global issues that impact the field of audiology and speech-language pathology. Topics presented include key ethical concerns regarding hearing aids with machine learning, a novel culturally responsive framework for contextualized clinical reasoning, and the impact of climate change on communication and swallowing disorders.
Credit(s): PDHs: 2.0, ASHA CEUs*: 0.2
Summary: It is well known within our field that identifying voice and upper airway specialized training opportunities and subsequent positions is challenging, competitive, and sometimes elusive. In this SIG 3 activity, various pathways to specializing in voice and upper airway disorders are explored from the viewpoint of different authors at various stages of their careers. The hope is to make the process of specialization more transparent and share components that have contributed to success, while also highlighting the diversity of training and experience that is so important in our field.
Credit(s): PDHs: 3.0, ASHA CEUs*: 0.3
Summary: In this series of articles, the need for clear guidelines in graduate education on the topic of transgender voice and communication is explored through an e-survey. Considerations for culturally competent voice care is presented in the context of two case studies. Case studies are also used to highlight the importance of an interdisciplinary gender affirming approach for successful voice care with adolescence. In the final article, a voice technique is adapted for voice masculinization.
Credit(s): PDHs: 4.5, ASHA CEUs*: 0.45
Summary: This course is based on a recently published SIG 1 Perspectives forum, Language Sample Analysis Tutorials. The articles in the forum focus on three types of language sample analysis and best practices for conducting them utilizing the Computerized Language Analysis (CLAN), Systematic Analysis of Language Transcriptions (SALT), and Sampling Utterances and Grammatical Analysis Revised (SUGAR).
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