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Nina R. Benway; Jonathan L. Preston – Language, Speech, and Hearing Services in Schools, 2025
Purpose: Artificial intelligence (AI) is more capable and accessible than ever before. But what does this mean for clinical practice? How can speech-language clinicians evaluate the efficacy, validity, and reliability of AI and machine learning tools for automating assessment and treatment? How can speech-language clinicians ethically use these…
Descriptors: Speech Language Pathology, Allied Health Personnel, Speech Therapy, Artificial Intelligence
Rosenkoetter, Sharon E.; Rice, Mabel L. – 1985
The workshop paper examines the use of microcomputer packages to analyze spontaneous language samples of children with communication disorders. Advantages of computerized analysis are seen to include time saving, more efficient data management, and increased objectivity. To help consumers determine which programs to buy, four aspects are…
Descriptors: Communication Disorders, Computer Assisted Testing, Computer Software, Elementary Secondary Education