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Direct linkNina 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
Orman, Evelyn K.; Whitaker, Jennifer A. – American Journal of Distance Education, 2010
This study compared face-to-face and videoconference private music lessons of one saxophone and two tuba students. One value of this study is the magnitude of the data analysis. More than 28,800 frames of digital video and verbatim scripts of all lessons were analyzed for time spent engaged in sequential patterns of instruction, performance, focus…
Descriptors: Music Education, Nonverbal Communication, Music, Academic Achievement
