Abstract
As artificial intelligence (AI) becomes embedded in both education and clinical practice, educators must be equipped to use it effectively and train graduates for AI-driven environments.1 AI offers benefits such as personalized learning, improved feedback, increased engagement, and decreased workload.2-5 However, researchers note a lack of standardized methods for implementing and evaluating AI in the classroom. Moreover, validated tools to assess AI literacy among nurse educators are lacking, hindering full integration of AI into nursing curricula.
This study aimed to (1) develop and validate the AI-Technological Pedagogical Content Knowledge and Ethics (AI-TPACK-E) scale, (2) evaluate nurse educators’ AI literacy, and (3) identify barriers and support needs for integrating AI into nursing education.
A cross-sectional descriptive survey was conducted using the AI-TPACK-E scale adapted from the Intelligent TPACK scale.6 The survey included 28 items across technological, pedagogical, content, integrated TPACK, and ethical domains rated on a 7-point Likert scale, plus four open-ended questions. During content validation, seven AI content experts assessed item relevance and provided suggestions. The revised 29 item scale was then pilot tested with 35 nurse educators from two Texas nursing programs to assess reliability and convergent validity against the AI Literacy Scale (AILS).7 Psychometric analyses evaluated reliability and validity. Descriptive statistics reported AI literacy levels; thematic analysis addressed open-ended responses.
Items with I-CVI ≥ 0.78 were retained, and S-CVI reached 0.90, indicating strong content validity. The AI-TPACK-E showed high internal consistency (α > 0.9) and strong convergent validity with AILS (Spearman’s r = 0.7, p < .001). AI literacy scores averaged 134 (range: 34 to 203), reflecting moderately high literacy, highest in technology knowledge, and lowest in ethics. Faculty commonly use AI for instructional design and development. Barriers included knowledge gaps, resource constraints, ethical concerns, and few guidelines. Faculty expressed the need for secure, diverse AI tools and robust professional development.
The validated AI-TPACK-E scale provides a reliable tool for assessing AI literacy among nurse educators. Findings highlight moderate AI literacy of nurse educators and key barriers, underscoring the need for targeted faculty development and clear guidelines to support effective AI integration in nursing education.
Notes
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Sigma Membership
Alpha Delta
Type
Presentation
Format Type
Text-based Document
Study Design/Type
Cross-Sectional
Research Approach
Mixed/Multi Method Research
Keywords:
Faculty Development, Instrument and Tool Development, Curriculum Development, Nurse Educators, Digital Literacy, Artificial Intelligence
Recommended Citation
Rabe, Cora and Lee, Mikyoung Angela, "AI Literacy Among Nurse Educators: Assessing Adaptation and Integration in Nursing Education" (2026). International Nursing Research Congress (INRC). 283.
https://www.sigmarepository.org/inrc/2026/presentations_2026/283
Conference Name
37th International Nursing Research Congress
Conference Host
Sigma Theta Tau International
Conference Location
Toronto, Ontario, Canada
Conference Year
2026
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record. All permission requests should be directed accordingly and not to the Sigma Repository. All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
Abstract Review Only: Reviewed by Event Host
Acquisition
Proxy-submission
Date of Issue
2026-09-23
AI Literacy Among Nurse Educators: Assessing Adaptation and Integration in Nursing Education
Toronto, Ontario, Canada
As artificial intelligence (AI) becomes embedded in both education and clinical practice, educators must be equipped to use it effectively and train graduates for AI-driven environments.1 AI offers benefits such as personalized learning, improved feedback, increased engagement, and decreased workload.2-5 However, researchers note a lack of standardized methods for implementing and evaluating AI in the classroom. Moreover, validated tools to assess AI literacy among nurse educators are lacking, hindering full integration of AI into nursing curricula.
This study aimed to (1) develop and validate the AI-Technological Pedagogical Content Knowledge and Ethics (AI-TPACK-E) scale, (2) evaluate nurse educators’ AI literacy, and (3) identify barriers and support needs for integrating AI into nursing education.
A cross-sectional descriptive survey was conducted using the AI-TPACK-E scale adapted from the Intelligent TPACK scale.6 The survey included 28 items across technological, pedagogical, content, integrated TPACK, and ethical domains rated on a 7-point Likert scale, plus four open-ended questions. During content validation, seven AI content experts assessed item relevance and provided suggestions. The revised 29 item scale was then pilot tested with 35 nurse educators from two Texas nursing programs to assess reliability and convergent validity against the AI Literacy Scale (AILS).7 Psychometric analyses evaluated reliability and validity. Descriptive statistics reported AI literacy levels; thematic analysis addressed open-ended responses.
Items with I-CVI ≥ 0.78 were retained, and S-CVI reached 0.90, indicating strong content validity. The AI-TPACK-E showed high internal consistency (α > 0.9) and strong convergent validity with AILS (Spearman’s r = 0.7, p < .001). AI literacy scores averaged 134 (range: 34 to 203), reflecting moderately high literacy, highest in technology knowledge, and lowest in ethics. Faculty commonly use AI for instructional design and development. Barriers included knowledge gaps, resource constraints, ethical concerns, and few guidelines. Faculty expressed the need for secure, diverse AI tools and robust professional development.
The validated AI-TPACK-E scale provides a reliable tool for assessing AI literacy among nurse educators. Findings highlight moderate AI literacy of nurse educators and key barriers, underscoring the need for targeted faculty development and clear guidelines to support effective AI integration in nursing education.
Description
This study developed and validated the AI TPACK E scale, adapted from the Intelligent TPACK, to assess AI literacy in nurse educators. The 29 item scale (I CVI ≥ 0.78; S CVI = 0.90) demonstrated strong reliability (α > 0.9) and convergent validity (r = 0.7). Nurse educators used AI for teaching despite resource and ethical barriers. Results offer practical insights for advancing AI integration and faculty development in nursing education