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ERIC Number: EJ1388887
Record Type: Journal
Publication Date: 2019
Pages: 7
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2167-1230
At the Intersection of Applied Sciences: Integrated Learning Models in Computer Science and Software Engineering and Communication Disorders
Atkins, Marisha Speights; Seals, Cheryl; Bailey, Dallin
Science Education and Civic Engagement, v11 n1 p37-43 Win 2019
The use of innovative technologies in speech-language pathology is revolutionizing diagnostic and treatment approaches for individuals with communication disorders. This evolution has required educators to integrate the use of technologies into the clinical training pedagogy. Phonetic transcription is a foundational skill presented early in the undergraduate speech-pathology curriculum and serves as the basis for advanced course work in clinical diagnostic decision-making. Mastery requires regular practice and performance feedback. One factor that impedes the provision of more practice opportunities is the widely agreed-upon problem of grading phonetic transcription assignments by hand. The development of a computational tool that automatically grades transcription assignments served as the mechanism for an integrated learning opportunity between the departments of Communication Disorders and Computer Science and Software Engineering at Auburn University.
National Center for Science and Civic Engagement. 114 Post Street, Saugerties, NY 12477. Web site: http://new.seceij.net/
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Alabama
Grant or Contract Numbers: N/A