Strategic Integration of Artificial Intelligence in Faculty Development Grounded in Adult Learning Principles

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Title: Strategic Integration of Artificial Intelligence in Faculty Development Grounded in Adult Learning Principles
Language: English
Authors: Simone C. O. Conceição, Anita Samuel
Source: New Directions for Adult and Continuing Education. 2025 (187):64-71.
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 8
Publication Date: 2025
Document Type: Journal Articles
Reports - Evaluative
Education Level: Adult Education
Descriptors: Technology Integration, Artificial Intelligence, Faculty Development, Adult Learning, Teacher Centers, Curriculum Design, Inclusion, Scaffolding (Teaching Technique), Feedback (Response), Experiential Learning, Reflection, Adult Education, Integrity, Equal Education
DOI: 10.1002/ace.70003
ISSN: 1052-2891
1536-0717
Abstract: As artificial intelligence (AI) rapidly transforms higher education, faculty are increasingly expected to integrate AI tools into curriculum design, assessment, and instruction, often without adequate preparation. This article examines how Centers for Teaching and Learning (CTLs) can effectively support faculty adopting AI technologies through professional development informed by adult learning principles. Drawing on experiential applications and the authors' development work, we examine four key instructional uses of AI: course design, inclusive teaching, scaffolding, and feedback. We present an approach for effective AI-focused faculty development that emphasizes contextual relevance, hands-on learning, reflective dialogue, and sustained support. Anchored in adult education theory, this article offers a practical, ethically informed roadmap to help faculty navigate AI's instructional possibilities while upholding teaching integrity and promoting equitable learning environments.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1484522
Database: ERIC
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  Data: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
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  Data: <searchLink fieldCode="DE" term="%22Technology+Integration%22">Technology Integration</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Faculty+Development%22">Faculty Development</searchLink><br /><searchLink fieldCode="DE" term="%22Adult+Learning%22">Adult Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Centers%22">Teacher Centers</searchLink><br /><searchLink fieldCode="DE" term="%22Curriculum+Design%22">Curriculum Design</searchLink><br /><searchLink fieldCode="DE" term="%22Inclusion%22">Inclusion</searchLink><br /><searchLink fieldCode="DE" term="%22Scaffolding+%28Teaching+Technique%29%22">Scaffolding (Teaching Technique)</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+%28Response%29%22">Feedback (Response)</searchLink><br /><searchLink fieldCode="DE" term="%22Experiential+Learning%22">Experiential Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Reflection%22">Reflection</searchLink><br /><searchLink fieldCode="DE" term="%22Adult+Education%22">Adult Education</searchLink><br /><searchLink fieldCode="DE" term="%22Integrity%22">Integrity</searchLink><br /><searchLink fieldCode="DE" term="%22Equal+Education%22">Equal Education</searchLink>
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  Data: As artificial intelligence (AI) rapidly transforms higher education, faculty are increasingly expected to integrate AI tools into curriculum design, assessment, and instruction, often without adequate preparation. This article examines how Centers for Teaching and Learning (CTLs) can effectively support faculty adopting AI technologies through professional development informed by adult learning principles. Drawing on experiential applications and the authors' development work, we examine four key instructional uses of AI: course design, inclusive teaching, scaffolding, and feedback. We present an approach for effective AI-focused faculty development that emphasizes contextual relevance, hands-on learning, reflective dialogue, and sustained support. Anchored in adult education theory, this article offers a practical, ethically informed roadmap to help faculty navigate AI's instructional possibilities while upholding teaching integrity and promoting equitable learning environments.
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      – SubjectFull: Technology Integration
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      – SubjectFull: Artificial Intelligence
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      – SubjectFull: Faculty Development
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      – SubjectFull: Feedback (Response)
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      – SubjectFull: Experiential Learning
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      – SubjectFull: Adult Education
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      – SubjectFull: Integrity
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      – SubjectFull: Equal Education
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