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Procedure to Evaluate Artificial Intelligence (AI) Output for Educational and Clinical Tasks

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Bibliographic Details
Title: Procedure to Evaluate Artificial Intelligence (AI) Output for Educational and Clinical Tasks
Language: English
Authors: Lynn Gilbertson, Cody Marie Busch, Jon Spike, Kaitlin DeMoss, Jae Thompson
Source: Teaching and Learning in Communication Sciences & Disorders. 2026 10(1).
Availability: Teaching and Learning in Communication Sciences & Disorders. 685 Malena Drive, Ann Arbor, MI 48103. Web site: https://ir.library.illinoisstate.edu/tlcsd/
Peer Reviewed: Y
Page Count: 21
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Evaluation Methods, Technology Uses in Education, Graduate Students, Undergraduate Students, Critical Thinking, Career Readiness, Intellectual Disciplines, Allied Health Occupations, Education Majors, Speech Language Pathology, Student Attitudes, Clinical Experience
ISSN: 2689-6443
Abstract: As generative artificial intelligence (AI) becomes more ubiquitous and accessible, there is a call to promote awareness, implementation, and evaluation skills among AI users. Free AI platforms offer unprecedented opportunities to transform how education and healthcare tasks are approached. However, a process for evaluating AI output has yet to be standardized. The current study implemented a structured process for guiding graduate and undergraduate students through critical evaluations of various AI platforms, promoting students' critical thinking and career readiness.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1507818
Database: ERIC
Description
Abstract:As generative artificial intelligence (AI) becomes more ubiquitous and accessible, there is a call to promote awareness, implementation, and evaluation skills among AI users. Free AI platforms offer unprecedented opportunities to transform how education and healthcare tasks are approached. However, a process for evaluating AI output has yet to be standardized. The current study implemented a structured process for guiding graduate and undergraduate students through critical evaluations of various AI platforms, promoting students' critical thinking and career readiness.
ISSN:2689-6443