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Accepted for/Published in: JMIR Nursing

Date Submitted: Nov 18, 2025
Date Accepted: Feb 9, 2026

The final, peer-reviewed published version of this preprint can be found here:

Assessing Digital Literacy Among Nursing Faculty Under the Artificial Intelligence–Enhanced Technological Pedagogical Content Knowledge Framework: Cross-Sectional Survey Analysis

Hua X, WU W, Chen C, Ming Y, Zhang Y, Wu A, Zhang Y

Assessing Digital Literacy Among Nursing Faculty Under the Artificial Intelligence–Enhanced Technological Pedagogical Content Knowledge Framework: Cross-Sectional Survey Analysis

JMIR Nursing 2026;9:e88016

DOI: 10.2196/88016

PMID: 42275419

The Digital Literacy Level of College Nursing Teachers and Influencing Factors Analysis: A Multi-Dimensional Examination under the AI-TPACK Theoretical Framework

  • Xiaomin Hua; 
  • WANXIN WU; 
  • Chu Chen; 
  • Ya Ming; 
  • Yuhe Zhang; 
  • Aijing Wu; 
  • Yu Zhang

ABSTRACT

Background:

The digital era is rapidly evolving, and the field of education is experiencing a profound digital transformation. Digital literacy has become a crucial competency for nursing faculty to effectively incorporate digital technologies into teaching and learning. However, the current level of digital literacy among nursing faculty in higher education remains unclear, and the factors influencing its development are not well understood.

Objective:

This study aims to assess the current state of digital literacy among nursing faculty in higher education institutions and to analyze the factors that influence it.

Methods:

A cross-sectional survey was conducted among 339 nursing faculty members from three universities or colleges in Southern China using a self-administered questionnaire. Data were collected from July 2023 and June 2024 through online platforms,with a response rate of 98.8%. The questionnaire assessed five dimensions of digital literacy: technical skills, information management, teaching integration, continuous learning, and innovation application. Data were analyzed using descriptive statistics, Pearson correlation analysis, and multiple linear regression.

Results:

It indicated that nursing faculty demonstrated moderate levels of digital literacy (101.92±16.47), with notable variations across different dimensions. Technical skills and information management were relatively stronger (20.21±9.43) , while innovation application and continuous learning showed room for improvement (9.68±2.92). Factors such as age (β=-0.137, P<0.05) , educational background (β=-0.175, p<0.01), and teaching experience (β=0.167, p<0.05) significantly influenced digital literacy levels (r=0.766).

Conclusions:

The study highlights the importance of targeted training programs to enhance digital competencies among nursing faculty, ensuring they can effectively leverage digital tools to improve teaching quality and student outcomes in the rapidly evolving educational landscape.Moreover, the integration of digital literacy into faculty development frameworks should not be viewed as a one-time intervention but as an ongoing process woven into the fabric of professional identity. Clinical Trial: ChiCTR20000041381(24/12/2024)


 Citation

Please cite as:

Hua X, WU W, Chen C, Ming Y, Zhang Y, Wu A, Zhang Y

Assessing Digital Literacy Among Nursing Faculty Under the Artificial Intelligence–Enhanced Technological Pedagogical Content Knowledge Framework: Cross-Sectional Survey Analysis

JMIR Nursing 2026;9:e88016

DOI: 10.2196/88016

PMID: 42275419

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