Technological integration and professional competency development
A structural equation analysis of generative AI, learning engagement, and media literacy in journalism education
Bibliographic Data
| ID | 22164560 |
|---|---|
| Authors | Lifang Chen (0009-0007-0352-735X, North China Institute of Science and Technology), Mo Chen (0000-0002-9898-8082, North China Institute of Science and Technology) |
| Year | 2026 |
| Volume | 11 |
| Publication date | 2026-05-04 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Education (JOURNAL) |
| Journal identifiers | ISSN: 2504-284X • E-ISSN: 2504-284X |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/feduc.2026.1812350 |
| OpenAlex | W7160194805 |
| Language | EN |
| References cited | 71 |
This study investigates how generative artificial intelligence (AI) integration affects professional skill development in journalism education through learning engagement and media literacy. Conducted between September 2023 and February 2024 across five Chinese universities, this cross-sectional survey study employed structural equation modeling (SEM; Mplus 8.8) to test a sequential mediation model. A stratified random sample of 500 journalism and communication students provided valid data (response rate: 76.9%). Results demonstrate that AI integration in journalism education operates through a developmental pathway rather than direct skill transfer. AI utilization first enhances student learning engagement, which subsequently improves media literacy capabilities, and finally contributes to professional skill development [full sequential indirect effect: β = 0.172, 95% CI (0.115, 0.229)]. These findings suggest that effective AI integration requires structured pedagogical approaches that sequence learning activities from initial engagement with AI tools, through critical evaluation skill development, to professional application. For journalism educators, this implies the need for curriculum designs that recognize these developmental stages rather than treating AI as a simple tool addition. The study contributes to understanding technology adoption in professional education contexts while acknowledging the limitations of cross-sectional research design and single-country sampling
Curriculum · Generative grammar · Journalism · Literacy · Media literacy · Mediation · Stratified sampling · Structural equation modeling · Technology integration · Artificial Intelligence in Healthcare and Education · Ethics and Social Impacts of AI · Online Learning and Analytics
Confronting the Challenges of Participatory Culture
Taking Journalism Seriously
Measuring student engagement in technology-mediated learning
Motivation and Education
Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students
The Measurement of Student Engagement
The unified theory of acceptance and use of technology (UTAUT)
Unified Theory of Acceptance and Use of Technology
Engaging online learners
How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power
The Power of Feedback Revisited
Impact of ChatGPT on ESL students’ academic writing skills
Facilitating Student Engagement Through Educational Technology
Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT)
School context, achievement motivation, and academic engagement
Motivation in online learning
A Review and Synthesis of the Measurement Invariance Literature
Cutoff criteria for fit indexes in covariance structure analysis
User Acceptance of Information Technology
Common method biases in behavioral research
A new criterion for assessing discriminant validity in variance-based structural equation modeling
A Theoretical Extension of the Technology Acceptance Model
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
User Acceptance of Computer Technology
Let’s Get Engaged
Applying the self-determination theory (SDT) to explain student engagement in online learning during the Covid-19 pandemic
Collaborating With ChatGPT
Generative AI chatbots in higher education
An Approach to Digital Literacy through the Integration of Media and Information Literacy
Internet, Phone, Mail, and Mixed‐Mode Surveys
Systematic review of research on artificial intelligence applications in higher education – where are the educators
Using ChatGPT in Education
Acculturation in a multicultural classroom
Educating for Journalism
Rethinking [Again] the Future of Journalism Education
Complex Sample Data in Structural Equation Modeling
Exploring the Potential of Generative AI (ChatGPT) for Foreign Language Instruction
A Vision for Transformative Leadership
Transformation of a Modern Newsroom Workforce
Global Journalism Education
Educating ‘New’ Journalists
Participation, Remediation, Bricolage
Digital Media Literacies
Mapping research in student engagement and educational technology in higher education
Media Literacy and the Challenge of New Information and Communication Technologies
Framing student engagement in higher education
| Citation velocity | historical |
|---|---|
| Highly cited | No |