Generative Artificial Intelligence Application in Occupational Therapy Education

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Bibliographic Details
Title: Generative Artificial Intelligence Application in Occupational Therapy Education
Language: English
Authors: James Wersal, Justin Mason, Mary Shotwell
Source: Journal of Occupational Therapy Education. 2026 10(1).
Availability: Journal of Occupational Therapy Education. 521 Lancaster Avenue, Richmond, KY 40475. e-mail: jote@eku.edu; Web site: https://encompass.eku.edu/jote/
Peer Reviewed: Y
Page Count: 28
Publication Date: 2026
Document Type: Journal Articles
Reports - Descriptive
Education Level: Higher Education
Postsecondary Education
Descriptors: Allied Health Occupations Education, Allied Health Personnel, Occupational Therapy, Artificial Intelligence, Technology Uses in Education, Higher Education, Program Effectiveness, Barriers, Ethics, Privacy, Constructivism (Learning), Cognitive Processes, Difficulty Level, Behavior, Networks
ISSN: 2573-1378
Abstract: Generative artificial intelligence (GenAI) is a developing technology within Higher Education Institutions with substantial potential to transform teaching pedagogy, improve individualized learning experiences, and automate administrative functions. GenAI has the potential to bring significant enhancements by advancing adaptive learning interfaces, customized learning materials, and automate administrative support. Despite these benefits, ethical considerations, data privacy, and the risk of over-reliance should be considered prior to using GenAI. The authors highlight how GenAI is supported by adult learning theory and provide practical strategies for incorporating GenAI in the occupational therapy curricula and to support the faculty role. The impact of GenAI on individualized learning, communication, and clinical training is explained. Challenges are discussed in the form of ethical use and mitigation strategies for the integration of GenAI. Additionally, the authors demonstrate how GenAI can be used by students and teachers to enhance learning outcomes while encouraging critical thinking skills.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1502361
Database: ERIC
FullText Text:
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  Data: Generative Artificial Intelligence Application in Occupational Therapy Education
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  Data: Journal of Occupational Therapy Education. 521 Lancaster Avenue, Richmond, KY 40475. e-mail: jote@eku.edu; Web site: https://encompass.eku.edu/jote/
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  Data: <searchLink fieldCode="DE" term="%22Allied+Health+Occupations+Education%22">Allied Health Occupations Education</searchLink><br /><searchLink fieldCode="DE" term="%22Allied+Health+Personnel%22">Allied Health Personnel</searchLink><br /><searchLink fieldCode="DE" term="%22Occupational+Therapy%22">Occupational Therapy</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="DE" term="%22Program+Effectiveness%22">Program Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Barriers%22">Barriers</searchLink><br /><searchLink fieldCode="DE" term="%22Ethics%22">Ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Privacy%22">Privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Constructivism+%28Learning%29%22">Constructivism (Learning)</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+Processes%22">Cognitive Processes</searchLink><br /><searchLink fieldCode="DE" term="%22Difficulty+Level%22">Difficulty Level</searchLink><br /><searchLink fieldCode="DE" term="%22Behavior%22">Behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Networks%22">Networks</searchLink>
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  Data: Generative artificial intelligence (GenAI) is a developing technology within Higher Education Institutions with substantial potential to transform teaching pedagogy, improve individualized learning experiences, and automate administrative functions. GenAI has the potential to bring significant enhancements by advancing adaptive learning interfaces, customized learning materials, and automate administrative support. Despite these benefits, ethical considerations, data privacy, and the risk of over-reliance should be considered prior to using GenAI. The authors highlight how GenAI is supported by adult learning theory and provide practical strategies for incorporating GenAI in the occupational therapy curricula and to support the faculty role. The impact of GenAI on individualized learning, communication, and clinical training is explained. Challenges are discussed in the form of ethical use and mitigation strategies for the integration of GenAI. Additionally, the authors demonstrate how GenAI can be used by students and teachers to enhance learning outcomes while encouraging critical thinking skills.
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RecordInfo BibRecord:
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 28
    Subjects:
      – SubjectFull: Allied Health Occupations Education
        Type: general
      – SubjectFull: Allied Health Personnel
        Type: general
      – SubjectFull: Occupational Therapy
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Higher Education
        Type: general
      – SubjectFull: Program Effectiveness
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      – SubjectFull: Barriers
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      – SubjectFull: Ethics
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      – SubjectFull: Privacy
        Type: general
      – SubjectFull: Constructivism (Learning)
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      – SubjectFull: Cognitive Processes
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      – SubjectFull: Difficulty Level
        Type: general
      – SubjectFull: Behavior
        Type: general
      – SubjectFull: Networks
        Type: general
    Titles:
      – TitleFull: Generative Artificial Intelligence Application in Occupational Therapy Education
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            NameFull: Justin Mason
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            NameFull: Mary Shotwell
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              Y: 2026
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